Mind Analytics creates the first technology platform for the travel industry that combines AI, Machine Learning and Big Data – Travel Daily News…

BARCELONA - Mind Analytics, a Spanish start-up specialising in data analytics to optimise decision making in the tourism industry, has launched the first tool in the travel industry that combines AI, Machine Learning and Big Data, designed to improve the conversion of hotel distribution wholesalers. The Travel Intelligence Engine (Travel/ie) solution captures, processes and analyses data in real time and uses that knowledge to improve distribution, detect errors and behaviour patterns, in order to improve the distribution of available product inventory and adapt offers to your customers.

This is technology developed in Spain which combines the advantages of advanced descriptive analytics, artificial intelligence and automated learning. The combination of these three functionalities allows you to better understand the tourism market and give an immediate response, optimising conversion by up to 30%.

Thanks to the analysis of customers and supplier data in real time, Travel/ie is a powerful tool to optimise the management of products offered by wholesalers. For example, it allows you to know the most requested destinations and dates, analyse the remaining rooms and, in turn, measure the infrastructure performance in detail or even detect integration and data mapping errors through an alarm system.

In this way, distributors can identify when a product is not being displayed correctly, detect a problem with a customer's request for a reservation, even a failure in network performance, and act immediately to avoid losing revenue.

For Joaquin Orono, CEO of the company, "Decisions based on real data are key to addressing the challenges of the tourism industry. Up to now, this process of analysis and interpretation of the data offered by Travel Intelligence Engine was done manually, an inefficient practice in terms of resource consumption that also generates errors. Therefore, we wanted to develop a state-of-the-art technological product that was the lever that companies in the tourism industry needed to optimise their profitability."

Mind Analytics has developed Travel/ie so wholesalers such as bed banks can manage large volumes of data. However, the data intelligence platform is expected to diversify to other segments of the travel industry such as hotels, travel agencies, car rental companies and airlines.

Integration with the company systemThe implementation of Travel/ie is carried out in a short time frame and does not affect each distributor's individual platform. Therefore, it integrates naturally with the system. First, the information relevant to the company is identified and a data collector is set up. Travel/ie obtains only the data necessary to optimise the business and does so in a non-invasive way, so that a panel adapted to the needs of the company is created.

To develop the integration, comparison and analysis of data, Travel/ie uses market leading technologies such as Google Cloud and Looker.

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Mind Analytics creates the first technology platform for the travel industry that combines AI, Machine Learning and Big Data - Travel Daily News...

Machine Learning In Medicine Market Global Business Insights and Development Analysis to 2026 – Instant Tech News

Global Machine Learning In Medicine Market Insights, Forecast to 2026:

The globalMachine Learning In Medicine Marketresearch report is a valuable source of insightful data for business strategists. It provides the industry overview with growth analysis and historical & futuristic cost, revenue, demand and supply data (as applicable). The research analysts provide an elaborate description of the value chain and its distributor analysis. This Market study provides comprehensive data which enhances the understanding, scope and application of this report.

The global Machine Learning In Medicine Market Analysis Report includesTop Companies:Google, Bio Beats, Jvion, Lumiata, DreaMed, Healint, Arterys, Atomwise, Health Fidelity, Gingeralong with their company profile, growth aspects, opportunities, and threats to the market development. This report presents the industry analysis for the forecast timescale. An up-to-date industry details related to industry events, import/export scenario, market share is covered in this report.

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For comprehensive understanding of market dynamics, the global Machine Learning In Medicine market is analyzed across key geographies namely:North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa). Each of these regions is analyzed on basis of market findings across major countries in these regions for a macro-level understanding of the market.

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‘Technology is never neutral’: why we should remain wary of machine learning in children’s social care – Communitycare.co.uk

(credit: Pablo Lagarto / Adobe Stock)

On 1 February 2020, YouTuber Simon Weekert posted a video on YouTube claiming to have redirected traffic by faking traffic jams on Google Maps. The video shows Weekert walking slowly along traffic-free streets in Berlin, pulling a pile of second-hand mobile phones in a cart behind him and Google Maps generating traffic jam alerts because the phones had their location services turned on.

Weekerts performance act demonstrates the fragility and vulnerability of our systems and their difficulty in interpreting outliers, and highlights a kind of decisional blindness when we think of data as objective, unambiguous and interpretation free, as he put it. There are many other examples of decisional blindness relating to drivers following Google Maps and falling off cliffs or driving into rivers.

Google has the resources, expertise and technology to rapidly learn from this experience and make changes to avoid similar situations. But the same vulnerability to hacking or outliers applies to the use of machine learning in childrens social care (CSC) and this raises the question of whether the sector has the means to identity and rectify issues in a timely manner and without adverse effects for service users.

Have you ever had the experience of asking the wrong question in Google search and getting the right answer? Thats because of contextual computing that makes use of AI and machine learning.

At its heart, machine learning is the application of statistical techniques to identify patterns and enable computers to use data to progressively learn and improve their performance.

From Google search and Alexa to online shopping, and from games and health apps to WhatsApp and online dating, most online interactions are mediated by AI and machine learning. Like electricity, AI and machine learning will power every software and digital device and will transform and mediate every aspect of human experience mostly without end users giving them a thought.

But there are particular concerns about their applications in CSC and, therefore, a corresponding need for national standards for machine learning in social care and for greater transparency and scrutiny around the purpose, design, development, use, operation and ethics of machine learning in CSC. This was set out in What Works for Childrens Social Cares ethics review into machine learning, published at the end of January.

The quality of machine learning systems predictive analysis is dependent on the quality, completeness and representativeness of the dataset they draw on. But peoples lives are complex, and often case notes do not capture this complexity and instead are complemented by practitioners intuition and practice wisdom. Such data lacks the quality and structure needed for machine learning applications, making high levels of accuracy harder to achieve.

Inaccuracy in identifying children and families can result in either false positives that infringe on peoples rights and privacy, cause stress and waste time and resources, or false negatives that miss children and families in need of support and protection.

Advocates of machine learning often point out that systems only provide assistance and recommendations, and that it remains the professionals who make actual decisions. Yet decisional blindness can undermine critical thinking, and false positives and negatives can result in poor practice and stigmatisation, and can further exclusion, harm and inequality.

Its true that AI and machine learning can be used in empowering ways to support services or to challenge discrimination and bias. The use of Amazons Alexa to support service users in adult social care is, while not completely free of concerns, one example of positive application of AI in practice.

Another is Essex councils use of machine learning to produce anonymised aggregate data at community level of children who may not be ready for school by their fifth birthday. This data is then shared with parents and services who are part of the project to inform their funding allocation or changes to practice as need be. This is a case of predictive analytics being used in a way that is supportive of children and empowering for parents and professionals.

The Principal Children and Families Social Worker (PCFSW) Network is conducting a survey of practitioners to understand their current use of technology and challenges and the skills, capabilities and support that they need.

It only takes 10 minutes to complete the survey on digital professionalism and online safeguarding. Your responses will inform best practice and better support for social workers and social care practitioners to help ensure practitioners lead the changes in technology rather than technology driving practice and shaping practitioners professional identity.

But its more difficult to make such an assessment in relation to applications that use hundreds of thousands of peoples data, without their consent, to predict child abuse. While there are obvious practical challenges around seeking the permission of huge numbers of people, failing to do so shifts the boundaries of individual rights and privacy vis--vis surveillance and the power of public authorities. Unfortunately though, ethical concerns do not always influence the direction or speed of change.

Another controversial recent application of technology is the use of live facial recognition cameras in London. An independent report by Essex Universitylast year suggested concerns with inaccuracies in use of live facial recognition, while the Met Polices senior technologist, Johanna Morley said millions of pounds would need to be invested in purging police suspect lists and aligning front- and back-office systems to ensure the legality of facial recognition cameras. Despite these concerns, the Met will begin using facial recognition cameras in London streets, with the aim of tackling serious crime, including child sexual exploitation.

Research published in November 2015, meanwhile, showed that a flock of trained pigeons can spot cancer in images of biopsied tissue with 99% accuracy; that is comparable to what would be expected of a pathologist. At the time, one of the co-authors of the report suggested that the birds might be able to assess the quality of new imaging techniques or methods of processing and displaying images without forcing humans to spend hours or days doing detailed comparisons.

Although there are obvious cost efficiencies in recruiting pigeons instead of humans, I am sure most of us will not be too comfortable having a flock of pigeons as our pathologist or radiologist.

Many people would also argue more broadly that fiscal policy should not undermine peoples health and wellbeing. Yet the past decade of austerity, with 16bn in cuts in core government funding for local authorities by this year and a continued emphasis on doing more with less, has led to resource-led practices that are far from the aspirations of Children Act 1989 and of every child having the opportunity to achieve their potential.

Technology is never neutral and there are winners and losers in every change. Given the profound implications of AI and machine learning for CSC, it is essential such systems are accompanied by appropriate safeguards and processes that prevent and mitigate false positives and negatives and their adverse impact and repercussions. But in an environment of severe cost constraints, positive aspirations might not be matched with adequate funding to ensure effective prevention and adequate support for those negatively impacted by such technologies.

In spite of the recent ethics reviews laudable aspirations, there is also the real risk that many of the applications of machine learning pursued to date in CSC may cement current practice challenges by hard-coding austerity and current thresholds into systems and the future of services.

The US constitution was written and ratified by middle-aged white men and it took over 130 years for women to gain the right of suffrage and 176 years to recognise and outlaw discrimination based on race, sex, religion and national origin. Learning from history would suggest we must be cautious about reflecting childrens social cares operating context into systems, all designed, developed and implemented by experts and programmers who may not represent the diversity of the people who will be most affected by such systems.

Dr Peter Buzzi (@MHChat) is the director of Research and Management Consultancy Centre and the Safeguarding Research Institute. He is also the national research lead for the Principal Children and Families Social Worker (PCFSW) Networks online safeguarding research and practice development project.

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'Technology is never neutral': why we should remain wary of machine learning in children's social care - Communitycare.co.uk

Deep Instinct nabs $43M for a deep-learning cybersecurity solution that can suss an attack before it happens – TechCrunch

The worlds of artificial intelligence and cybersecurity have become deeply entwined in recent years, as organizations work to keep up with and ideally block increasingly sophisticated malicious hackers. Today, a startup thats built a deep learning solution that it claims can both identify and stop even viruses that have yet to be identified has raised a large round of funding from some big strategic partners.

Deep Instinct, which uses deep learning both to learn how to identify and stop known viruses and other hacking techniques, as well as to be able to identify completely new approaches that have not been identified before, has raised $43 million in a Series C.

The funding is being led by Millennium New Horizons, with Unbound (a London-based investment firm founded by Shravin Mittal), LG and Nvidia all participating. The investment brings the total raised by Deep Instinct to $100 million, with HP and Samsung among its previous backers. The tech companies are all strategics, in that (as in the case of HP) they bundle and resell Deep Instincts solutions, or use them directly in their own services.

The Israeli-based company is not disclosing valuation, but notably, it is already profitable.

Targeting as-yet unknown viruses is becoming a more important priority as cybercrime grows. CEO and founder Guy Caspi notes that currently there are more than350,000 new machine-generated malware created every day with increasingly sophisticated evasion techniques, such as zero-days and APTs (Advanced Persistent Threats). Nearly two-thirds of enterprises have been compromised in the past year by new and unknown malware attacks originating at endpoints, representing a 20% increase from the previous year, he added. And zero-day attacks are now four times more likely to compromise organizations. Most cyber solutions on the market cant protect against these new types of attacks and have therefore shifted to a detect-response approach, he said, which by design means that they assume a breach will happen.

While there is already a large profusion of AI-based cybersecurity tools on the market today, Caspi notes that Deep Instinct takes a critically different approach because of its use of deep neural network algorithms, which essentially are set up to mimic how a human brain thinks.

Deep Instinct is the first and currently the only company to apply end-to-end deep learning to cybersecurity, he said in an interview. In his view, this provides a more advanced form of threat protection than the common traditional machine learning solutions available in the market, which rely on feature extractions determined by humans, which means they are limited by the knowledge and experience of the security expert, and can only analyze a very small part of the available data (less than 2%, he says). Therefore, traditional machine learning-based solutions and other forms of AI have low detection rates of new, unseen malware and generate high false-positive rates. Theres been a growing body of research that supports this idea, although weve not seen many deep learning cybersecurity solutions emerge as a result (not yet, anyway).

He adds that deep learning is the only AI-basedautonomous system that can learn from any raw data, as its not limited by an experts technological knowledge. In other words, its not based just on what a human inputs into the algorithm, but is based on huge swathes of big data, sourced from servers, mobile devices and other endpoints, that are input in and automatically read by the system.

This also means that the system can be used in turn across a number of different end points. Many machine learning-based cybersecurity solutions, he notes, are geared at Windows environments. That is somewhat logical, given that Windows and Android account for the vast majority of attacks these days, but cross-OS attacks are now on the rise.

While Deep Instinct specializes in preventing first-seen, unknown cyberattacks like APTs and zero-day attacks, Caspi notes that in the past year there has been a rise in both the amount and the impact of cyberattacks covering other areas. In 2019, Deep Instinct saw an increase in spyware and ransomware on top of an increase in the level of sophistication of the attacks that are being used, specifically with more file-less attacks using scripts and powershell, living off the land attacks and the use of weaponized documents like Microsoft Office files and PDFs. These sit alongside big malware attacks like Emotet, Trickbot, New ServeHelper and Legion Loader.

Today the company sells services both directly and via partners (like HP), and its mainly focused on enterprise users. But since there is very little in the way of technical implementation (Our solution is mostly autonomous and all processes are automated [and] deep learning brain is handling most of the security, Caspi said), the longer-term plan is to build a version of the product that consumers could adopt, too.

With a large part of antivirus software often proving futile in protecting users against attacks these days, that could come as a welcome addition to the market, despite how crowded it already is.

There is no shortage of cybersecurity software providers, yet no company aside from Deep Instinct has figured out how to apply deep learning to automate malware analysis, said Ray Cheng, partner at Millennium New Horizons, in a statement. What excites us most about Deep Instinct is its proven ability to use its proprietary neural network to effectively detect viruses and malware no other software can catch. That genuine protection in an age of escalating threats, without the need of exorbitantly expensive or complicated systems is a paradigm change.

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Deep Instinct nabs $43M for a deep-learning cybersecurity solution that can suss an attack before it happens - TechCrunch

How AI Is Tracking the Coronavirus Outbreak – WIRED

With the coronavirus growing more deadly in China, artificial intelligence researchers are applying machine-learning techniques to social media, web, and other data for subtle signs that the disease may be spreading elsewhere.

The new virus emerged in Wuhan, China, in December, triggering a global health emergency. It remains uncertain how deadly or contagious the virus is, and how widely it might have already spread. Infections and deaths continue to rise. More than 31,000 people have now contracted the disease in China, and 630 people have died, according to figures released by authorities there Friday.

John Brownstein, chief innovation officer at Harvard Medical School and an expert on mining social media information for health trends, is part of an international team using machine learning to comb through social media posts, news reports, data from official public health channels, and information supplied by doctors for warning signs the virus is taking hold in countries outside of China.

The program is looking for social media posts that mention specific symptoms, like respiratory problems and fever, from a geographic area where doctors have reported potential cases. Natural language processing is used to parse the text posted on social media, for example, to distinguish between someone discussing the news and someone complaining about how they feel. A company called BlueDot used a similar approachminus the social media sourcesto spot the coronavirus in late December, before Chinese authorities acknowledged the emergency.

We are moving to surveillance efforts in the US, Brownstein says. It is critical to determine where the virus may surface if the authorities are to allocate resources and block its spread effectively. Were trying to understand whats happening in the population at large, he says.

The rate of new infections has slowed slightly in recent days, from 3,900 new cases on Wednesday to 3,700 cases on Thursday to 3,200 cases on Friday, according to the World Health Organization. Yet it isnt clear if the spread is really slowing or if new infections are simply becoming more difficult to track.

So far, other countries have reported far fewer cases of coronavirus. But there is still widespread concern about the virus spreading. The US has imposed a travel ban on China even though experts question the effectiveness and ethics of such a move. Researchers at Johns Hopkins University have created a visualization of the viruss progress around the world based on official numbers and confirmed cases.

Health experts did not have access to such quantities of social, web, and mobile data when seeking to track previous outbreaks such as severe acute respiratory syndrome (SARS). But finding signs of the new virus in a vast soup of speculation, rumor, and posts about ordinary cold and flu symptoms is a formidable challenge. The models have to be retrained to think about the terms people will use and the slightly different symptom set, Brownstein says.

Even so, the approach has proven capable of spotting a coronavirus needle in a haystack of big data. Brownstein says colleagues tracking Chinese social media and news sources were alerted to a cluster of reports about a flu-like outbreak on December 30. This was shared with the WHO, but it took time to confirm the seriousness of the situation.

Beyond identifying new cases, Brownstein says the technique could help experts learn how the virus behaves. It may be possible to determine the age, gender, and location of those most at risk more quickly than using official medical sources.

Alessandro Vespignani, a professor at Northeastern University who specializes in modeling contagion in large populations, says it will be particularly challenging to identify new instances of the coronavirus from social media posts, even using the most advanced AI tools, because its characteristics still arent entirely clear. Its something new. We dont have historical data, Vespignani says. There are very few cases in the US, and most of the activity is driven by the media, by peoples curiosity.

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How AI Is Tracking the Coronavirus Outbreak - WIRED

How Machine Learning Will Reshape The Future Of Investment Management – Forbes India

Image: ShutterstockThe 2020 outlook for Asset Management re-affirms impact of globalization and outperformance of private equity. While the developed worlds economy has sent mixed signals, all eyes are now on Asia and especially India, to drive the next phase of growth. The goal is to provide Investment Solutions for its mix of young as well as senior population. Its diversity cultural, economic, regional & regulatory, will pose the next challenge.

The application of Data Science & Machine Learning has delivered value for portfolio managers through quick and uniform decision-making. Strategic Beta Funds which have consistently generated added value, rely heavily on the robustness of their portfolio creation models which are excruciatingly data driven. Deploying Machine Learning algorithms helps assess credit worthiness of firms and individuals for lending and borrowing. Data Science and Machine Learning solutions eliminate human bias and calculation errors while evaluating investments in an optimum period.

Investment management is justified as an industry only to the extent that it can demonstrate a capacity to add value through the design of dedicated investor-centric investment solutions, as opposed to one-size-fits-all manager-centric investment products. After several decades of relative inertia, the much needed move towards investment solutions has been greatly facilitated by a true industrial revolution taking place in investment management, triggered by profound paradigm changes with the emergence of novel approaches such as factor investing, liability-driven and goal-based investing, as well as sustainable investing. Data science is expected to play an increasing role in these transformations.

This trend poses a critical challenge to global academic institutions: educating a new breed of young professionals and equipping them with the right skills to address the situation, and who could seize the fast-developing new job opportunities in this field. Continuous education gives the opportunity to meet with new challenges of this ever-changing world, especially in the investment industry.

As recently emphasized by our colleague Vijay Vaidyanathan, CEO, Optimal Asset Management, former EDHEC Business School PHD student, and online course instructor at EDHEC Business School, our financial well-being is second only to our physical well-being, and one of the key challenges we face is to enhance financial expertise. To achieve this, we cannot limit ourselves to the relatively small subset of the population who can afford to invest the significant time and expense of attending a formal, full-time degree programme on a university campus. Therefore, we must find ways to elevate the quality of financial professional financial education to ensure that all asset managers and asset owners are fully equipped to make intelligent and well-informed investment decisions.

Data science applied to asset management, and education in the field, is expected to affect not only investment professionals but also individuals. On this topic, we would like to share insights from Professor John Mulvey, Princeton University, who is also one of EDHEC on-line course instructors. John believes that machine learning applied to investment management is a real opportunity to assist individuals with their financial affairs in an integrated manner. Most people are faced with long-term critical decisions about saving, spending, and investing to achieve a wide variety of goals.

These decisions are often made without much professional guidance (except for wealthier clients), and without much technical training. Current personalized advisors are reasonable initial steps. Much more can be done in this area with modern data science and decision-making tools. Plus, younger people are more willing to trust fully automated computational systems. This domain is one of the most relevant and significant areas of development for future investment management.

By Nilesh Gaikwad, EDHEC Business School country manager in India, and Professor Lionel Martellini, EDHEC-Risk Institute Director.

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How Machine Learning Will Reshape The Future Of Investment Management - Forbes India

From models of galaxies to atoms, simple AI shortcuts speed up simulations by billions of times – Science Magazine

Emulators speed up simulations, such as this NASA aerosol model that shows soot from fires in Australia.

By Matthew HutsonFeb. 12, 2020 , 2:35 PM

Modeling immensely complex natural phenomena such as how subatomic particles interact or how atmospheric haze affects climate can take many hours on even the fastest supercomputers. Emulators, algorithms that quickly approximate these detailed simulations, offer a shortcut. Now, work posted online shows how artificial intelligence (AI) can easily produce accurate emulators that can accelerate simulations across all of science by billions of times.

This is a big deal, says Donald Lucas, who runs climate simulations at Lawrence Livermore National Laboratory and was not involved in the work. He says the new system automatically creates emulators that work better and faster than those his team designs and trains, usually by hand. The new emulators could be used to improve the models they mimic and help scientists make the best of their time at experimental facilities. If the work stands up to peer review, Lucas says, It would change things in a big way.

A typical computer simulation might calculate, at each time step, how physical forces affect atoms, clouds, galaxieswhatever is being modeled. Emulators, based on a form of AI called machine learning, skip the laborious reproduction of nature. Fed with the inputs and outputs of the full simulation, emulators look for patterns and learn to guess what the simulation would do with new inputs. But creating training data for them requires running the full simulation many timesthe very thing the emulator is meant to avoid.

The new emulators are based on neural networksmachine learning systems inspired by the brains wiringand need far less training. Neural networks consist of simple computing elements that link into circuitries particular for different tasks. Normally the connection strengths evolve through training. But with a technique called neural architecture search, the most data-efficient wiring pattern for a given task can be identified.

The technique, called Deep Emulator Network Search (DENSE), relies on a general neural architecture search co-developed by Melody Guan, a computer scientist at Stanford University. It randomly inserts layers of computation between the networks input and output, and tests and trains the resulting wiring with the limited data. If an added layer enhances performance, its more likely to be included in future variations. Repeating the process improves the emulator. Guan says its exciting to see her work used toward scientific discovery. Muhammad Kasim, a physicist at the University of Oxford who led the study, which was posted on the preprint server arXiv in January, says his team built on Guans work because it balanced accuracy and efficiency.

The researchers used DENSE to develop emulators for 10 simulationsin physics, astronomy, geology, and climate science. One simulation, for example, models the way soot and other atmospheric aerosols reflect and absorb sunlight, affecting the global climate. It can take a thousand of computer-hours to run, so Duncan Watson-Parris, an atmospheric physicist at Oxford and study co-author, sometimes uses a machine learning emulator. But, he says, its tricky to set up, and it cant produce high-resolution outputs, no matter how many data you give it.

The emulators that DENSE created, in contrast, excelled despite the lack of data. When they were turbocharged with specialized graphical processing chips, they were between about 100,000 and 2 billion times faster than their simulations. That speedup isnt unusual for an emulator, but these were highly accurate: In one comparison, an astronomy emulators results were more than 99.9% identical to the results of the full simulation, and across the 10 simulations the neural network emulators were far better than conventional ones. Kasim says he thought DENSE would need tens of thousands of training examples per simulation to achieve these levels of accuracy. In most cases, it used a few thousand, and in the aerosol case only a few dozen.

Its a really cool result, said Laurence Perreault-Levasseur, an astrophysicist at the University of Montreal who simulates galaxies whose light has been lensed by the gravity of other galaxies. Its very impressive that this same methodology can be applied for these different problems, and that they can manage to train it with so few examples.

Lucas says the DENSE emulators, on top of being fast and accurate, have another powerful application. They can solve inverse problemsusing the emulator to identify the best model parameters for correctly predicting outputs. These parameters could then be used to improve full simulations.

Kasim says DENSE could even enable researchers to interpret data on the fly. His team studies the behavior of plasma pushed to extreme conditions by a giant x-ray laser at Stanford, where time is precious. Analyzing their data in real timemodeling, for instance, a plasmas temperature and densityis impossible, because the needed simulations can take days to run, longer than the time the researchers have on the laser. But a DENSE emulator could interpret the data fast enough to modify the experiment, he says. Hopefully in the future we can do on-the-spot analysis.

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From models of galaxies to atoms, simple AI shortcuts speed up simulations by billions of times - Science Magazine

Machine Learning Market 2020 Booming by Size, Revenue, Trend and Top Companies 2026 – Instant Tech News

New Jersey, United States, The report titled, Machine Learning Market Size and Forecast 2026 in Verified Market Research offers its latest report on the global Machine Learning market that includes comprehensive analysis on a range of subjects like competition, segmentation, regional expansion, and market dynamics. The report sheds light on future trends, key opportunities, top regions, leading segments, the competitive landscape, and several other aspects of the Machine Learning market. Get access to crucial market information. Market players can use the report back to peep into the longer term of the worldwide Machine Learning market and convey important changes to their operating style and marketing tactics to realize sustained growth.

Global Machine Learning Market was valued at USD 2.03 Billion in 2018 and is projected to reach USD 37.43 Billion by 2026, growing at a CAGR of 43.9% from 2019 to 2026.

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Top 10 Companies in the Global Machine Learning Market Research Report:

Global Machine Learning Market: Competitive Landscape

Competitive landscape of a market explains strategies incorporated by key players of the market. Key developments and shift in management in the recent years by players has been explained through company profiling. This helps readers to understand the trends that will accelerate the growth of market. It also includes investment strategies, marketing strategies, and product development plans adopted by major players of the market. The market forecast will help readers make better investments.

Global Machine Learning Market: Drivers and Restrains

This section of the report discusses various drivers and restrains that have shaped the global market. The detailed study of numerous drivers of the market enable readers to get a clear perspective of the market, which includes market environment, government policies, product innovations, breakthroughs, and market risks.

The research report also points out the myriad opportunities, challenges, and market barriers present in the Global Machine Learning Market. The comprehensive nature of the information will help the reader determine and plan strategies to benefit from. Restrains, challenges, and market barriers also help the reader to understand how the company can prevent itself from facing downfall.

Global Machine Learning Market: Segment Analysis

This section of the report includes segmentation such as application, product type, and end user. These segmentations aid in determining parts of market that will progress more than others. The segmentation analysis provides information about the key elements that are thriving the specific segments better than others. It helps readers to understand strategies to make sound investments. The Global Machine Learning Market is segmented on the basis of product type, applications, and its end users.

Global Machine Learning Market: Regional Analysis

This part of the report includes detailed information of the market in different regions. Each region offers different scope to the market as each region has different government policy and other factors. The regions included in the report are North America, South America, Europe, Asia Pacific, and the Middle East. Information about different region helps the reader to understand global market better.

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Table of Content

1 Introduction of Machine Learning Market

1.1 Overview of the Market 1.2 Scope of Report 1.3 Assumptions

2 Executive Summary

3 Research Methodology of Verified Market Research

3.1 Data Mining 3.2 Validation 3.3 Primary Interviews 3.4 List of Data Sources

4 Machine Learning Market Outlook

4.1 Overview 4.2 Market Dynamics 4.2.1 Drivers 4.2.2 Restraints 4.2.3 Opportunities 4.3 Porters Five Force Model 4.4 Value Chain Analysis

5 Machine Learning Market, By Deployment Model

5.1 Overview

6 Machine Learning Market, By Solution

6.1 Overview

7 Machine Learning Market, By Vertical

7.1 Overview

8 Machine Learning Market, By Geography

8.1 Overview 8.2 North America 8.2.1 U.S. 8.2.2 Canada 8.2.3 Mexico 8.3 Europe 8.3.1 Germany 8.3.2 U.K. 8.3.3 France 8.3.4 Rest of Europe 8.4 Asia Pacific 8.4.1 China 8.4.2 Japan 8.4.3 India 8.4.4 Rest of Asia Pacific 8.5 Rest of the World 8.5.1 Latin America 8.5.2 Middle East

9 Machine Learning Market Competitive Landscape

9.1 Overview 9.2 Company Market Ranking 9.3 Key Development Strategies

10 Company Profiles

10.1.1 Overview 10.1.2 Financial Performance 10.1.3 Product Outlook 10.1.4 Key Developments

11 Appendix

11.1 Related Research

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Highlights of Report

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TAGS: Machine Learning Market Size, Machine Learning Market Growth, Machine Learning Market Forecast, Machine Learning Market Analysis, Machine Learning Market Trends, Machine Learning Market

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Machine Learning Market 2020 Booming by Size, Revenue, Trend and Top Companies 2026 - Instant Tech News

Manchester Digital unveils 72% growth for digital businesses in the region – Education Technology

Three quarters of Greater Manchester's digital tech businesses have experienced significant growth in the last 12 months

New figures from Manchester Digital, the independent trade body for digital and tech businesses in Greater Manchester, have revealed that 72% of businesses in the region have experienced growth in the last year, up from 54% in 2018.

Despite such prosperous results, companies are still calling out for talent, with developer roles standing out as the most in-demand for the seventh consecutive year. The other most sought-after skills in the next three years include data science (15%), UX (15%), and AI and machine learning (11%).

In the race to acquire top talent, almost 25% of Manchester vacancies advertised in the last 12 months remained unfilled, largely due to a lack of suitable candidates and inflated salary demands.

Unveiled at Manchester Digitals annual Skills Festival last week, the Annual Skills Audit, which evaluates data from 250 digital and tech companies and employees across the region, also analysed the various professional pathways into the sector.

The majority (77%) of candidates entering the sector harbour a degree of some sort; however, of the respondents who possessed a degree, almost a quarter claimed it was not relevant to tech, while a further 22% reported traversing through the sector from another career.

In other news: Jisc report calls for an end to pen and paper exams by 2025

On top of this, almost one in five respondents said they had self-taught or upskilled their way into the sector a positive step towards boosting diversity in terms of both the people and experience pools entering the sector.

Its positive to see a higher number of businesses reporting growth this year, particularly from SMEs. While the political and economic landscape is by no means settled, it seems that businesses have strategies in place to help them navigate through this uncertainty, said Katie Gallagher, managing director of Manchester Digital.

Whats particularly interesting in this years audit are the data sets around pathways into the tech sector, added Gallagher. While a lot of people still do report having degrees and wed like to see more variation here in terms of more people taking up apprenticeships, work experience placements etc. its interesting to see that a fair percentage are retraining, self-training or moving to the sector with a degree thats not directly related. Only by creating a talent pool from a wide and diverse range of people and backgrounds can we ensure that the sector continues to grow and thrive sustainably.

When asked what they liked about working for their current employer, employees across the region mentioned flexible work as the number one perk they value (40%). Career progression was also a crucial factor to those aged 18-21, with these respondents also identifying brand prestige as a reason to choose a particular employer.

For this first time this year, weve expanded the Skills Audit to include opinions from employees, as well as businesses. With the battle for talent still one of the biggest challenges employers face, were hoping that this part of the data set provides some valuable insights into why people choose employers and what they value most and consequently helps businesses set successful recruitment and retention strategies, Gallagher concluded.

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Manchester Digital unveils 72% growth for digital businesses in the region - Education Technology

Ageing is ‘optional’ amid emerging economy for immortality – The National

Ageing is optional if certain lifestyle factors can be controlled, and there is an emerging economy for people living longer, the Milken Institutes Middle East and Africa summit in Abu Dhabi heard on Tuesday.

We say we are increasing the healthspan not just the lifespan. So people have more years in life but those years are healthier and more productive and fulfilling, Nora Super, director of the Centre for the Future of Ageing at the Milken Institute, told The National.

By 2030, more people worldwide will be over the age of 60 than under 10, according to Milken, a US think tank.

Meanwhile, experiments over the last few years to test the bodys epigenetic clock, which tracks a persons biological age, have been shown to slow down or reverse when given certain medications and hormones, or when the test subjects were able to reduce stress through meditation.

The combination of shifting demographics and recent breakthroughs in our understanding of ageing and longevity represent both a massive challenge and opportunity in the 21st century.

Dr Deepak Chopra, founder of the Chopra Centre and a wellness expert, said that over the past two decades, scientists had begun to more widely accept that ageing was more like a disease that can be cured rather than an inevitability.

No gene has evolved to cause ageing. No one dies of old age, he said at the conference.

Dr Chopra said the idea of well-being and longevity could be achieved by following seven pillars: sound sleep, meditation, physical activity, emotion moderation, plant-based nutrition, time outdoors and self-awareness.

Through the Chopra Centre, he said he was working to identify biomarkers to measure the effects these practices had on a persons ageing process.

Dr Chopra is 73 years old but he claims his epigenetic clock is nearly half that after following 30 years of daily meditation and walking at least 10,000 steps.

As we move into the future, we should be able to create these new algorithms that correlate biometrics to well-being, he said.

In addition to working on measuring the effect of anti-ageing practices on the body, Dr Chopra is working on a project called Digital Deepak, an artificial intelligence based on his writings and teachings.

The AI is still a baby under development, he said, but would be rolled out later this year.

If we dont adapt to technology, we become irrelevant, he told The National.

Dave Asprey, founder of Bulletproof Coffee, who wrote a book on longevity, said mankind's "current best" was 120 years old - a number he said he hoped to beat.

Mr Asprey, a former technology company executive, said he believed if I can hack the internet, I can hack this [ageing issue] and admitted to investing at least $1 million in his efforts.

By prolonging life and increasing well-being, he said, there was a return on investment measured by time.

When we imagine ageing, we imagine being old and thats not a pretty sight: wheelchairs, you cant remember your own name, incontinence, he said. "But these are solvable, hackable problems."

Updated: February 11, 2020 09:29 PM

Excerpt from:
Ageing is 'optional' amid emerging economy for immortality - The National

Jurgen Klopp’s Liverpool close to immortality – but their lasting legacy is already painted across Merseyside – Liverpool Echo

This is a Liverpool squad that has become immortalised in its own time. A town that has been painted red.

The current champions of Europe remain firmly on course to end a three-decade wait for an English league title, with a 22-point advantage at the summit leaving them just a half-dozen victories away from a sizeable slice of modern history.

Jurgen Klopp and his teak-tough band of brothers are the talk of the town, with the eternal chatter from the Red half of the city largely surrounding this current crop's place in the pantheon of all-time Liverpool greats.

Where they sit among the sides sculptured and shaped by Bob Paisley, Bill Shankly et al, will one day make for one of the healthiest of Merseyside football debates.

In the here and now, though, there are medals to be won and trophies to be lifted.

Liverpool have veered only slightly so far throughout what has been remarkable campaign; just two Premier League points dropped with the Reds still in the hunt for both the Champions League and the FA Cup.

Their impact and influence, however, stretches beyond the regular confines of football fandom. To many, Klopp and the players at his disposal have already become icons, whatever happens between now, May - and the rest of the decade.

As world and European champions, this current squad have sent the levels of pride among the fanbase soaring to levels rarely seen across the club's 128-year history.

As such, Liverpool's players and their charismatic coach remain omnipresent throughout a city that boasts just as much civic pride as it does in its sporting accomplishments.

Take a stroll through the burgeoning Baltic Triangle area of the city centre and you will be confronted by a giant mural in homage to Klopp. It has become the coolest tourist attraction around - even for locals - since its inception in December 2018.

The likability factor of the affable Klopp, coupled with his sometimes underrated acumen as one of the sharpest tactical minds in football, has helped Liverpool to the brink of domestic glory once more.

No other manager has come as close as Klopp as to ending a wait for league title No.19 and after guiding the club to a sixth European Cup last year, his place as an Anfield great is already safe and secure. The German even has a sports bar named in his honour in the city centre.

French graffiti artist Akse has painted some of the most recognisable faces on the planet onto various walls across the world. From Bob Marley and David Bowie through to Martin Luther King and Muhammad Ali, the breathtaking artist's work always catches the eye.

The same applies to the likeness of Liverpool's manager, which can be found on Jamaica Street.

Commissioned by the club itself, Klopp's image was the first time Akse had painted a manager of the game, despite his ample experience of football-themed street art that include Wayne Rooney, Harry Maguire and Juan Mata.

"You really can feel the love from the fans [for Klopp]," he tells the ECHO. "Each time I go back to the wall, there are always fans from all around the world taking pictures with the mural.

"As an artist you get very attached to the pieces you paint on a personal level. Each piece has its own story: from the choice of the subject, the selection of the reference image, the preparation of the mural and the painting process."

The Klopp piece took two days to complete and was not without its weather-related technical issues, but for Akse - the artist who also produced the Trent Alexander-Arnold piece last year - his hard labour merely shines further light on the positive role models who are his subject matter.

He adds: "These murals pay tribute to the outstanding achievements of the subjects and the fans recognise that. After painting the Jurgen Klopp and Trent murals, I received a lot of requests from LFC fans to paint other players so its really a testament to how much they mean to them.

"[The Alexander-Arnold] mural is also dedicated to Fans Supporting Foodbanks so it brings fans together to fight food poverty in Liverpool. This is why I love doing street art, it can have such a positive impact in the community on so many levels."

Discreetly tucked away down a city-centre backstreet is an 'Ode to Mo' - a celebration of Liverpool's Egyptian King himself, Mohamed Salah.

As the poster-boy for football in his homeland, Salah carries the weight of expectation of his 90million compatriots and his rise at Anfield has catapulted him into the realms of global superstardom.

Magazine covers and lucrative endorsements have followed for a player who has become something of a pop culture phenomenon during his two-and-a-half years as a Liverpool employee.

Guy McKinley was the artist who sketched Salah's face on a wall midway down Basnett Street, creating a six-metre-by-three painting paying tribute to the Liverpool hero, bringing an otherwise nondescript collection of brickwork to life in the process.

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Created just before the 2018 Champions League final, thanks to the work from local company RRUNews, Guy's art was accompanied by the words of poet Musa Okwonga, hailing the "golden smile of the nile."

"Mo is more than just a good footballer, he is a role model to lots of people from varying backgrounds," Guy told the ECHO. "He brings divergent people together which is always good.

"This was important to the piece as a whole, putting the image alongside Musas words and then interacting with the locals for the accompanying film, all helped highlight how well he is received by the local community too.

"That was the concept rather than just a mural of Mo Salah, it was a chance to open debate too. I dont think he is just a hero in Egypt now, he seems huge everywhere by what I have seen.

"From the outside looking at him, he seems to be a very positive person and is such a benefit to the team and city.

"I had kids come over to me while I was painted telling me how important it was that he is seen as this positive influence and thanking me for painting it, which was very touching.

"Appealing to people in a number of ways certainly helps cement his status among the whole family of Liverpool FC fans from all over the world."

This is about more than just a good football team; the current Liverpool squad have allowed even the most gnarled supporter a chance to remind themselves why they fell in love with the sport.

Beyond their accomplishments on the pitch, their willingness to embrace the supporters who lionise them is a constant theme throughout the squad.

Perhaps few embody that more than Trent Alexander-Arnold, whose rise from Academy hopeful to Ballon d'Or nominee has been sharp. In under four years, the West Derby-born, lifelong Liverpool supporter has become one of the world's most valuable defenders.

Cherished by locals, the 21-year-old's appearance was painted, three-storeys high, on to a home at the corner of Sybil Street and Anfield Road - just an Alexander-Arnold cross from where the Reds star has stamped his mark on the game he loves since his debut in October 2016.

The mural was arranged by the Anfield Wrap, a popular fan podcast with subscribers in over 80 countries, as a way to commemorate an incredible season that ended with Alexander-Arnold lifting the Champions League trophy.

Alexander-Arnold, though, represents more than just a great player being adored by a club's fans. He is a Steven Gerrard for the Millennium, a homegrown hero living the idyllic dream of thousands of other Liverpool-born football followers.

"I was trying to think of something we could do to celebrate the players' achievements," says Craig Hannan of the Anfield Wrap. "And it was the BT Sport clip after the game of Alexander-Arnold saying: 'I'm just a normal lad from Liverpool whose dreams have just come true'.

"He is a footballer who has lived all our dreams, coming through the youth system, lifting the European Cup - everything made sense for him. That is where the idea came about. He is not just his achievements on the pitch, it is what he has done off it too.

"He is a local lad and done loads of work for foodbanks and An Hour For Others, so it all just made sense. This is a local lad who has won the Champions League but also a grounded 21-year-old who gives back and hasn't forgotten where he has come from.

Paul Gorst is the ECHO's new full-time LFC correspondent covering the Reds both home and away.

He'll be across all the biggest stories both on and off the pitch and is a must follow for fans worldwide.

Paul can be found on Twitter @ptgorst, Facebook @ptgorst and Instagram @PaulGorst.

You can email Paul at paul.gorst@reachplc.com.

"We chose him for the wall, but in actual fact, when you look through the whole team, we wanted to celebrate the fact that these are footballers that stand for a lot and believe in a lot. You can see the continuous work they do in the city for charity. For Trent, we all see a bit ourselves in him.

"In a city like Liverpool, it is great that we can feel that connection with the players. There hasn't always been an obvious relationship with the players and the fans over the years, but with the likes of Andy Robertson and Trent and the rest, their values seem to be in line with us as fans.

"It is not just about them playing 90 minutes and then we don't see them, it is about them helping out in the local community. Even the kind of content the club put out, we get a great understanding of what they are like as people."

The Alexander-Arnold mural was unveiled days before the current Premier League season kicked off in August to help raise awareness for Fans Supporting Foodbanks - a cause the Anfield Wrap have championed for some time.

Craig adds: "They are giving us the best experiences of our lives right now and are also doing their bit off the pitch too.

"We are really proud of what we have been able to do [with the mural]. It was great that Trent came down to see it but the biggest thing is it is helping a cause we want to give as much coverage as possible to. But to see him on the wall and people flocking to see it is the biggest thing for us.

"For example, if one person a game sees it and looks into Fans Supporting Foodbanks more to donate then it has done its job. Also, we can celebrate a young lad like Trent who is someone who is inspiring kids every day.

"We're really proud of it and we love that Trent loves it and it has become a landmark to inspire kids in the area to show them what can be achieved. That is a brilliant thing."

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Jurgen Klopp's Liverpool close to immortality - but their lasting legacy is already painted across Merseyside - Liverpool Echo

CSI: Crime Scene Investigation: What has the original cast done since? – Metro.co.uk

CSI: Crime Scene Investigation has become a US TV institution (Picture: CBS)

CSI: Crime Scene Investigation became an addictive must-watch for everyone in the early 2000s with theme song Who Are You? by The Who still ringing in our ears with just a mere mention of the shows name.

Still on telly pretty much constantly, alongside its spin-offs CSI: Miami, CSI: New York and CSI: Cyber, its classic TV as we watch the Las Vegas Police Department do what they do best.

And now weve heard the news that they might be making a comeback to celebrate the 20th anniversary of its launch, weve gone all nostalgic for the series and the grisly crimes they helped solve.

But what happened to the gang since we last saw them?

Turns out, a lot of humanitarian work, some landmark career moments and even a couple of run-ins with the law themselves.

Heres what the cast has been up to since the show wrapped in 2015.

If theres one face you think of when you think of CSI, its Gil Grissom the leading man of the squad.

Gil left the show in season nine in order to track down his love, Sara, who had fled to Costa Rica, and wasnt seen until 2015, when he took centre stage once again in the shows final bow, the two-hour Immortality.

William won a Sag award for his portrayal, got a star on the Hollywood Walk of Fame in 2009, with CSI co-star Marg Helgenberger among those in attendance commemorating his achievements.

Since CSI ended in 2015, he has completely stepped back from the limelight, with no new work beyond his 2015 return as Gil.

He has no social media presence, but fan pages often update with any new snaps of the star.

Night Shift supervisor Catherine was the ultimate right-hand woman, but quit the LVPD and took a job at the FBI at the end of season 12.

She returned for an appearance by Gils side in Immortality in 2015.

Since leaving the series, Marg has had several prominent TV roles including a series adaptation of Stephen Kings novel Under The Dome, and 2014 series Intelligence

Marg can currently be seen on TV drama All Rise, which takes a look at the lives and loves of the lawyers, clerks and staff members of LA County courthouse.

She also often posts photos of the view of her absolutely stunning LA home.

Crime Scene Investigator Nick was Catherines assistant until D.B. Russells arrival in 2015 and he left soon after.

He was one of the most empathetic members of the group, which caused friction a number of times throughout his career as others around him preferred to keep an emotional distance from the cases.

Nicks exit from the series was announced in November 2014 and he made bid farewell in the season 15 finale, leaving Las Vegas for a new job in San Diego.

Following his departure, George starred in CBS action-adventure series MacGyver for three years as Jack Dalton and last year, he featured in the South Korean period film The Battle Of Jangsari.

Captain Jim Brass appeared in a total of 303 episodes and was renowned for adhering to the rules and his witty sarcastic comments when interviewing suspects.

He was written out of the show after the producers decided to end his characters storyline and left in the season 14 finale, but later appeared for the last episode of season 15 and again forCSI: Immortality.

Paul won a Sag award for his portrayal Jim back in 2005 and received three further nominations.

Since his exit, he starred in acclaimed film Spotlight in 2015, and more recently starred in Apple TVs The Morning Show alongside Reese Witherspoon and Jennifer Aniston.

Sara, a materials and element analyst who majored in physics at Harvard University, was the longest-running woman on CSI and filmed 296 episodes in total.

She was the assistant supervisor until she left the Crime Lab to join a research team in Costa Rica after marrying former colleague Gil Grissom.

The newlyweds maintained a long-distance relationship while Sara was away, but they broke up in season 13 and eventually reconciled and got back together in the series finale.

Jorja took a step back from acting after CSI, having only appeared in science fiction film 3022 last year alongside Miranda Cosgrove and Kate Walsh.

In 2008, Warrick Brown met a grisly end in season eights finale, when he was shot and killed by bent copper Undersheriff McKeen.

McKeen had framed Warrick for the murder of mob boss Lou Gedda, and so shot him twice to keep him from talking. He was left to bleed out and died in his car.

He had appeared in 185 episodes by the time he was last seen on screen.

Dourdans exit was aired shortly after Dourdan was arrested for drug possession but he had already filmed his final scenes so it was unconnected as to why he left CSI.

Since his appearance on the show, he was arrested again for possession of drug paraphernalia in 2011, and was charged with felony battery on his ex-girlfriend, having to attend domestic violence counseling.

He is now sober and continues to act, with five projects currently in production, as well as music.

Work has included TV series Being Mary Jane in 2015, an episode of Power as Charles Hamilton and starring in action-comedy, All She Wrote, in 2018.

As Chief Medical Examiner at the LVPD, Al wasnt a hyper-clean heavily detailed member of the squad and made for good banter with Gil Grisson.

Appearing in 328 episodes overall, 72-year-old Robert has three, small projects currently in post-production, all of which havent moved since 2018.

After CSI, Robert has been mainly staying out of the limelight.

Robert is a double amputee, losing both his legs after a drunk driver operating an 18-wheeler vehicle ran over his car in 1978, although this was never mentioned in CSI.

As a result, Robert has been a campaigner for disability visibility, and mental health.

Eric has been fairly quiet on the TV front since his time on CSI, with one credit under his belt since the show ended action thriller Shangri-La: Near Extinction in 2018.

He appeared as lab technician Greg in 333 episodes of the crime drama, and gave his voice to his own character in the spin-off video games as well.

Despite not working in the acting world, hes been using his platform to campaign for animal rights, hosting fundraisers to free circus animals.

He also maintains good contact with his former CSI pals reuniting with Marg to watch the Oscars this weekend.

CSI: Crime Scene Investigation airs on Channel 5 in the UK.

Got a showbiz story?

If you've got a celebrity story, video or pictures get in touch with the Metro.co.uk entertainment team by emailing us celebtips@metro.co.uk, calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.

MORE: Law And Order star Ron McLarty dies aged 72 after dementia battle

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CSI: Crime Scene Investigation: What has the original cast done since? - Metro.co.uk

After Legendary Career With Boston College, Brian Gionta Will Be Immortalized This Weekend – Sports Illustrated

Photo courtesy of BCEagles.com

Growing up in the Boston area, there have been plenty of athletes who have rolled through the Heights that have been a pleasure to watch. One, being star guard Troy Bell who recently had his own jersey retired by the Men's Basketball program. My first "super hero" was a kid from upstate New York, winger Brian Gionta.

As an 11 year old kid, I was present for David Emma's jersey, number 16, being raised to the Conte Forum rafters, securing his immortality. This happened as the 2000-01 regular season was wrapping up with the Brian Gionta led Eagles that lost to Michigan in the National Championship game. It was this night, it seemed that someday Gionta, who had 62 points that season and cemented himself in BC history, would have his night as well.

His impact for the BC program went beyond the ice, and gave the Boston College faithful a superstar the program needed for another championship run. For a program that was fresh on 3 straight frozen four appearances, a Hobey Baker winner in Mike Mottau, BC only had one championship banner, and that read 1949. Boston College had been a great team that was on the brink of pushing through but up to the 2001 season, continuously came up painfully short.

On a senior laden team that boasted plenty of NHL talent including Brooks Orpik, Chuck Kobesew, Scott Clemenson, and Bobby Allen, Gionta was the captain, the leader and the super star that carried the Eagles to a thrilling overtime victory against North Dakota in the National Title game. For the first time since 1949, the Eagles were National Champions. clearly Jerry York and his leadership was a big part of this, but Gionta was the rock that anchored the program that season.

During his time in maroon and gold, Gionta's success helped usher in a new era of Boston College hockey that included eight Frozen Four appearances and an additional 3 National Championships. Over the past 20 years since Gionta last wore the maroon and gold, there have been countless NHL level talents to grace the ice of Kelly Rink, including a Hobey Baker in Johnny Gaudreau.

Gionta's legacy has withstood time and has only grown, as there are some that believe that he is possibly the best player in Eagle's history. Nearly 20 years later after Emma's jersey went up into the rafters, Gionta's jersey will rise up as well this weekend. Finally, the Boston College star will be honored and immortalized at Kelley Rink.

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After Legendary Career With Boston College, Brian Gionta Will Be Immortalized This Weekend - Sports Illustrated

Understanding ‘Afsos’: What Does This Gulshan Devaiah Dark Comedy Want To Say? – Mashable India

Disclaimer: This article contains major spoilers for Afsos. So, please read it after youve finished watching the show.

I have been watching Gulshan Devaiah since 2011 when he appeared in an incredibly under-appreciated crime thriller called Dum Maaro Dum as Ricky. Since then he has appeared in movies like Shaitan, Hate Story, Goliyon ki Rasleela Ram-Leela, and Death in the Gunj and delivered some brilliant supporting acts. However, I wanted him to see him in more prominent roles and thats when I stumbled across Hunterrr (which is another under-appreciated movie of his which you should definitely watch) and, of course, Mard Ko Dard Nahi Hota. All that said, I dont no one as highlighted Devaiahs true potential like Anubhuti Kashyap has done in Afsos.

Devaiah plays a suicidal man, Nakul, who cant seem to kill himself even though he wants to. Hence he hires someone, Heeba Shahs Upadhyay, to do the job for him. However, after doing so he falls in love with his therapist, Anjali Patils Shloka, and hence doesnt want to die. In the meantime, he also gets embroiled in a mystery about the immortal man, which leads to a chaotic journey into the topic of life and death. But amongst all that chaos, Devaiah stands strong while portraying one of the most psychologically weak characters put to screen. Theres not a single frame in the show where youll doubt the fact that Devaiahs Nakul is doubting himself. And although it seems like a pretty simple thing to do, its actually quite integral to the tone of the show and is what gives Afsos its uniquely Indian dark comedy vibe.

If I have to pick my favourite scene out of all the scenes that Devaiah is in, it has to be his conversation with Robin Das Fokatiya Baba when they realise that their captor, Danish Saits Jim, is dead. Devaiahs desperation when he admits that he is not immortal and that he doesnt care about Fokatiyas guruji had told him to do with the immortality potion (amrit) is palpable as f*ck. What we know and have seen of Devaiah throughout his filmography completely vanishes and you can see only and only Nakul trying to negotiate with his fate in a way that will undoubtedly make you laugh your guts out. But wait a second. I know what youre thinking. Youre thinking that this article was supposed to be the meaning of Afsos. However, just like one might feel while watching the show or probably something that the makers must have encountered, we got so engrossed in Deviahs brilliant acting chops that we forgot all about the main point of the show.

SEE ALSO: Afsos Review - Gulshan Devaiahs Suicidal Act Kills It In This Dark Comedy. No Regrets Here!

So, without digressing any further, lets try and understand what Afsos is actually trying to say. And since we are talking about Devaiah, lets start with Nakul. On the surface, Nakul might seem like a one-note guy who wants to end his life but cant. He embodies the frustration most of us feel when nothings going our way in our life. Even the most basic thing like walking out of his house is littered with obstacles and by the time he overcomes them, he has lost the will to live. However, somewhere inside him there is a will to live that involuntarily kicks in his survival instinct, which is in complete contradiction to what Shloka says about the depth of his depression, thereby allowing him to evade death. So, whats the message that comes along with Nakul? That our inherent urge to survive and the hope that maybe theres some light at the end of the dark tunnel, something that is literally spelt out by Inspector Bir Singh, is what makes us immortal. Not in the literal sense of course. But in the metaphorical sense, as in our actions live on in the minds of others. Yes, it might need some fuel but it is there.

Then lets come to Karima Upadhyay, played viscerally by Heeba Shah. She is the embodiment of death itself. She has become death by seeing and delivering so many deaths in her life. She even says that she feels like she is born to kill. During one particular scene involving Ratnabali Bhattacharjees Maria and her daughter at a restaurant where some man misbehaves with the little child, it seems like she has some respect for the concept of life. However, if you have seen the series and the way she treats Maria and her daughter while attempting to kill Nakul, youll notice that she has nothing inside her. And that very nothingness inside her is what makes her immortal. The raging drive that exists within her helps her surpass the pain of being stabbed or the emotional distress of losing her lover (I am guessing Vikram was her lover). Additionally, it is that very rage which helps her stay in her preys mind tax-free. But the drive only comes to an end when she falls into the tricks of the catalyst. Whos the catalyst you ask? Well, its Shloka.

Shloka is another layered son-of-a-b*tch who neither respects life nor respects death. She lies to people to save their life. She lies to people to push them over the edge. She lies to herself to the extent that she doesnt even know (or may she does and we dont know) that her husband is dead or alive. Hence she doesnt have satisfaction in life nor a painless death. I am going to be honest with you, and this might make me look like a douche, but I never felt the chemistry between Shloka and Nakul. It always felt like she was finding the next person who she can control, just like she probably controlled Dibakar (her husband), and she made the mistake of thinking that Nakul was the one. However, in reality it was Upadhyay who had the ability to match her skills and play the same game of life and death that she was playing. Once that was over, you could see the level of disinterest she had on her face while going to meet Nakul. I know these are little details which makes the show worth watching and are much more interesting than the overarching narrative about the amrit and Dr. Goldfish.

So, in my opinion, said overarching narrative actually muddles the intricacies that writers Anirban Dasgupta and Dibya Chatterjee have woven into Nakuls story. I understand that they have delved into the campier aspects of Afsos' story and instilled it with a sense of mythology. However, since it largely feels so haphazard and incomplete by the end of the last episode that I felt like it robbed the show of its comforting, oddball charm. I feel like if the show wouldve stuck to its core messaging about finding the source of your immortality i.e. the thing that will help us stay long after we are gone, it wouldve stuck its landing a little. That said, since Afsos stands on the shoulders of Anubhuti Kashyap, Gulshan Devaiah and more, it deserves your attention and all the deconstruction you can subject it to.

Cover image courtesy: Amazon Prime Video India

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Understanding 'Afsos': What Does This Gulshan Devaiah Dark Comedy Want To Say? - Mashable India

Mo Isom speaks on intimacy during Convocation week – Lee Clarion Online

Mo Isom, a New York Times bestselling author and national speaker, returned to Lee for spring 2020 Convocation and spoke in two separate sermons focused on restoring relationships with Christ through intimacy and discernment.

In college, Isom was an All-American goalkeeper for the Louisiana State University (LSU) womens soccer team. She was also the first woman to try out for an SEC mens football team.

Isom was a favorite speaker among students since she first visited Lee in fall 2018. Because of this, she was invited to return and speak at Convocation. Starting the day with chapel, Isom spoke on the lack of true intimacy in the younger generation.

I think theres a number of different reasons as to why healthy intimacy alludes us. I do think there is a root of seeing few and being involved in very few truly healthy intimate relationships, said Isom. We see imperfect people trying to walk in a very broken world. Inevitably, we wound one another in the process. I think a lot of people in this generation are struggling to understand the fullness of intimacy because it hasnt been modeled well.

Isom currently has two published books Wreck My Life and Sex, Jesus, and the Conversations the Church Forgot. The latter book focuses on conversations about sex, sexuality, immortality and addiction that are often forgotten in the modern-day church.

Isom is currently in the process of writing her third book which takes a deeper look into the messages she spoke at Convocation intimacy with Christ.

It centers around the very things we spoke about [in chapel]. Intimacy with God. To know my God and be known by God what does that really mean? said Isom. It sent me on this beautiful and layered journey where I explored true intimacy with God. He revealed some really beautiful layers of how the physical model of intimacy that Hes given us parallels our model of intimacy with Him.

Isom first began her writing career as a college student blogger. Studying broadcast journalism, Isom did not foresee book publishing in her future. After one of her blog posts reached over 250,000 views, Isom realized the impact of her words.

I just shared when the Lord gave me a word, said Isom. I remember after I got engaged to my husband Jeremiah, I wrote a post called I just got engaged and immediately doubted my decision. Heres why I still said yes. It went, like, psycho-viral. I had a literary agent reach out to me after that post.

Isom accepted a two-book deal with a publishing company, starting her career as a writer. Isom stated that at the beginning of the whole process, she had no grand plan for what was to come. She said it all comes from the faithfulness to just listen and obey.

I think that when we sort of give [God] our faithful obedience and earnest heart, Hes the one who leads the way, said Isom. Its really cool. I never thought I would write books.

Isom did not shy away from the traditionally taboo topic of physical intimacy and the shame which can accompany it. She paralleled the captivity of the Egyptians in the Bible to the lack of intimacy and depth in relationships that enslave this generation.

I believe that the Spirit of the Living God is calling His children out of captivity and back to His heart, said Isom.

To combat this atmosphere of enslavement, Isom often uses jarring and descriptive language in her messages such as adulterous hearts. She uses this language to draw a connection from physical intimacy to connect her audience back to true intimacy with Christ.

The Lord opened my eyes to the prophetic parallel between the physical interactions that we see in the natural, and the same interactions that we see in the spiritual, said Isom. Its really beautiful to me to see that God gave us this physical act that deeply resonates with us. Everyone in the audience jeers and jars at those words because its a very intricate thing that we all recognize and understand in our flesh.

Isom believes using this descriptive language enlivens the ideas and messages she is attempting to portray.

[These words] bring it to life for us. Suddenly, its easier to understand, said Isom.

Isom concluded her Convocation message Tuesday evening with a call to action and a heartfelt prayer for the student body.

Convocation will continue with a concluding message from Mark Walker on Wednesday night.

For more information about Mo Isom, visit her website here.

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Mo Isom speaks on intimacy during Convocation week - Lee Clarion Online

Lost Odyssey Brilliantly Explores The Tragedy Of Being Immortal – Kotaku

Last month, I wrote about the first leg of Lost Odyssey and how much I was enjoying it. The second disc and first half of the third have been even better. The worldbuilding is mysterious and intriguing, with each new section making me want to know more about the immortals Im playing as. The narrative gets richer with each new set piece, the bond the characters have growing as they face off against enemies that come in a variety of forms.

Lost Odysseys storytelling acts almost like a counter argument against magic and immortality. About halfway into the game, your party enters the great city of Gohtza. Its a technological marvel, revolutionized by magic industry. But when you talk to the citizens, they reveal that many people have lost their jobs due to magic automating their positions. Although the new industries have great benefits, theyve also resulted in a stratified society where those who arent part of the elite are suffering. The contrast between the wealthy aristocrats and the people in Low Town is stark.

Adjacent to Gohtza is the city of Kent. Their people have been decimated by the magical meteor which struck them at the battle in the opening of the game. They are full of hatred at the immortal they blame for their loss (good thing they dont recognize said immortal is the protagonist, Kaim!).

The argument for immortality doesnt fare much better. The burden of long life takes a terrible emotional toll on those who carry it. You learn at the end of Disc 1 that Kaims wife, Sarah, is still alive. During their search for Sarah, the party hears rumors about an Old Sorceress who is very dangerous. You have to confront her since she has sealed off a cave your party needs to cross.

That ends up taking your party to Kaims old house. Within its walls, your party uses a series of magic mirrors to travel from the decrepit state the mansion has become to the past where everything is spick and span.

The dissolution and messy remains are metaphorical for the Old Sorceresss state of mind. She is surrounded by four Bodies of Thought, each utilizing one of the elements. They take turns attacking her from all angles, but never turn their attack against the party. The partys goal is to save her from killing herself. Since each of the Bodies is comprised of a different element, you have to be careful how you fight.

During the battle, the Old Sorceress will unleash a desperate scream. This changes up all the elements so that an approach that worked previously wont be effective anymore and might actually hurt her. Its only after you defeat all the Bodies of Thought that you realize Sarah is underneath the veil of the Old Sorceress. Driven to depression by the realization that her daughter was dead, she had been torturing herself for decades.

Even after destroying the Bodies of Thought, Sarahs depression nearly overwhelms her again. Its only thanks to her grandchildren, Cooke and Mack, singing an old lullaby, that Sarah finds some semblance of serenity. As Sarah realizes Kaim is back, they slowly make their way through the world together, supporting each other through their grief. Kaim is driven by his desire to avenge his daughter, while Sarah finds motivation in the love of her grandchildren.

Having a kid of our own gave this situation much more gravity. More than any of the Dream flashbacks or cutscenes, this battle revealed so much about the plight of immortality. What would seeing the deaths of those dear to them, and the number of them accumulating with the passing centuries, do to their minds? What seems like a boon for Sarah and Kaim is actually a curse. Their desolation increases with every passing year. Theres an understandable reason why Kaim doesnt seem all that eager to retrieve his memories.

Their amnesia takes on an entirely new wrinkle when they confront the man who caused their memory loss, Gongora. Gongora is a fellow immortal and a powerful magician who wants to build a magic engine called the Grand Staff. In your first battle against him in the Experimental Staff, he annihilates your party. Im so grateful for this gameplay/narrative choice. Multiple RPGs come to mind where you confront an ultimate villain for the first time and proceed to give them a spanking. The villain laughs it off and says something along the lines of, Ill be back for you later. But because youve already defeated them, they dont seem as deadly anymore (one of the examples that immediately comes to mind is Seymour from FFX).

In Lost Odyssey, theres no doubt who has the upper hand. But its not just Gongoras physical and magical abilities that make him so powerful. Having retained all his memories, he accuses Kaim and his fellow immortal of being traitors to a noble cause. Their memory loss was a punishment for their misdeeds. This accusation makes them question if their odyssey is even a righteous one. But Gongora seems to be struggling against demons of his own as hes in a mentally fraught state in the Experimental Staff. Its not clear yet whos on the right. It would make for a surprising twist if it turned out that Gongora is actually fighting for a good cause, while Kaim and company, having lost their memories, are actually the villains. As Kaim states, If the record of a thousand years shows that I am really a traitor, then Ill have to accept that, and pay the price.

Magic has obvious positive effects, like being able to heal the people around them. But in the merchant town of Saman, its had a strange influence. The villagers walk around in a zombified state, shrouded in a purple aura, giving free rein to their egos. One of the wealthy merchants in the city openly brags about the wealth hes accumulated through corrupt methods. A man in the Erlio Family House spends all his time talking to a doll. Cant you see Im quite occupied right now? Stop bothering me, he snaps at you. Then to the doll, Darling, I love you so much. You are the one that I love the most in this world. A car called Zak laughs at you and calls you pathetic. Another car called Jack complains, Ugh, every day I go around dealing with rude people and carrying their heavy bags. Then they kick me when Im not running well. If youve ever wondered what your car thinks of you, magic can tell you the truth.

Its these weird encounters in each of the towns that reminds me so much of what I love and have missed about JRPGs. Every city feels like a brand new experience full of quirky denizens. Its been a long time since Ive been this excited about seeing whats next in the journey.

Theres a lot of variety in the gameplay and boss battles. In the Experimental Staff, some of the areas are giant puzzles where youre shifting machines and opening up new pathways. Wind caves, slippery slopes, and thieving enemies, make the ice canyon a grueling trial. The battle preceding the Experimental Staff, which is against a Mantala, can be extremely difficult if you dont plan each step. Thats because every time you attack the Mantala, it hides in the ocean and summons smaller Mantas in its place. You have to time your attacks, defensive maneuvers, and spells to perfectly align the strongest blows on the Mantala. Otherwise, the battle can go forever.

Fortunately, theres not that much grinding to do when it comes to experience points. Any time you enter a new area, your characters will level up quickly to where they should be. The reason you still need to engage in fights is to increase skill link levels from the mortals and get SP from bands to learn new abilities. I did find a way to grind my characters beyond their normal levels at the Numara Atolls. Silver Kelolons dot the beach side (theyre akin to the metal slimes of Dragon Quest in giving you a heck of a lot of EXP). If your party has gained the Gamble spell, which is done by praying at all the Kelolon statues in Tosca Village, it makes beating the Silver Kelelons feasible on a predictable basis. I overpowered my characters within a few battles.

Each of the characters gets their chance to shine in battles and more importantly, the story. In an optional cutscene with Ming when you escape Numara, she sees a monument off the shore and recalls a past battle. She saved the city by turning a huge Arthrosaurus into stone, which was how the monument came to be. But the flashback causes her pain and its not clear why, making me wonder about her past. Cooke and Mack are always getting into trouble, including one scene where they hijack a magical train in the hopes of communicating with their mother again. Their hopefulness through some of the darker moments in the game help the characters cope with their circumstances. Jansen, the comic relief, turns against his benefactor, Gongora, in favor of the immortals. He lifts up the bag of gold Gongora had bribed him with and says hed throw it back out of a sense of outrage, but then decides to keep it since he figures thered be no point in giving up the money. Jansen always remains in character, even in his outrage.

The dreams in the first disc focused on Kaims memories. In the second, there are several dreams that your pirate immortal, Seth, regains, and theyre heartbreaking. That is, if you take the time to read them. As I mentioned in the first part of my Lost Odyssey retrospective, I really wish there could have been a way for these sequences to have been more seamlessly integrated. The way it currently stands, the two things that take me out of the immersion of the gameplay are the long load screens (I know Im playing off disc, but some of these load screens are really distracting) and the dreams. I want to read them as theyre very good, but every time I do, it feels like Im being sucked away from the world. At the same time, I realize theyre an additional layer, meant to add texture to the narrative, and entirely optional. Just their existence is something Im grateful for. Who knew reading the story about a shoemaker could be so emotional?

I know some people, including myself, have described Lost Odyssey as a spiritual successor to Final Fantasy. While theres some truth to that, especially due to the developers being who they are, theres also a lot the game does to weave together its own distinctive identity. This middle act is where the game went from being a lost odyssey to an epic one. I cant wait to see how it all ends.

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Lost Odyssey Brilliantly Explores The Tragedy Of Being Immortal - Kotaku

Bill Nye impresses while dancing to Lizzo on New York Fashion Week runway – WTHR

NEW YORK (WTHR) Bill Nye the Science Guy might be in line for a few new modeling gigs after a video of him walking the runway at New York Fashion Week went viral.

The famed scientist was walking in the Blue Jacket Fashion Show, according to CNN Style. The show is put on by the Prostate Cancer Foundation to raise awareness and money for prostate cancer research. Designers donate their blue jacket designs, and athletes, celebrities and public figures act as models.

Yankees pitcher CC Sabathia, CNN anchor Don Lemon, actor Omar Sharif, Jr. and others graced the runway, but none made a splash quite as large as Nye's.

Jessica Weiss sat front row at the show, and posted the video of Nye dancing down the runway in a blue floral blazer to Lizzo's hit song, "Juice" on TikTok.

"When he started dancing to 'Juice' by Lizzo I knew it would be very popular because they are both iconic," Weiss told CNN. She wasn't wrong. The video has more than 170,000 likes on TikTok. A Twitter user posted the video to her account, where it has been viewed nearly 15 million times and had more than 830,000 likes.

Of course, Twitter users had their fun making the video even more entertaining with hilarious video edits and commentary.

Bill Nye the flyest guy. It has a ring to it.

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Bill Nye impresses while dancing to Lizzo on New York Fashion Week runway - WTHR

Time is Still a Mystery to Einsteins Dreams Author – The New York Times

As he tells it, he began worrying about getting old long ago, while he was still a young graduate student at Caltech. When he talked to other graduate students there, I could see that they wanted to do physics, come hell or high water, for the rest of their life, he said. And I didnt quite feel that way.

He ran in a fast crowd. Alan was one of the amazing cadre of Kip Thorne relativity students in the 70s, said Michael Turner, a cosmologist and former Caltech student now retired from the University of Chicago. (In 2017, Dr. Thorne, with Barry Barish and Rainer Weiss, won the Nobel Prize in Physics for the discovery of gravitational waves.) Richard Feynman, Caltechs resident eccentric genius, would drop by and dazzle them with impromptu blackboard calculations.

I could see their minds working and just see that they just had a very, very high capacity and ability to see things, Dr. Lightman said.

Dr. Lightman would go on to have his own moments. He described one such incident in a memoir, Searching for the Stars from an Island in Maine, when, early in his research career, a difficult calculation fell suddenly into place: My head was floating off my shoulders. I felt weightless. I was floating. And I had no sense of my self, where I was, or who I was. I did have a feel of rightness.

Many scientists will tell you these are the most precious moments in their lives. Dr. Lightman said that it had happened to him five or six times in his scientific career. But he believes most theorists dry up by the age of 40 or so. You just seem to have more of what it takes at a young age, he said. Its kind of like athletic limberness.

In 1989, at age 41, he joined M.I.T. with a rare joint appointment in physics and humanities.

I love physics, but what was even more important to me was leading a creative life, Dr. Lightman said. And I knew that writers could continue doing their best work later in life.

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Time is Still a Mystery to Einsteins Dreams Author - The New York Times

Its that time when love is in the air – The New Indian Express

Express News Service

Spring is in the air, and so is love. Valentines Day is around the corner and notwithstanding the moral police and the prissy prudes, love will have its day, a day when love can be expressed in unequivocal terms to those we truly care about.It is so difficult to talk about those we love whereas we have a hundred things to say about those we dont. This is where literature and its bards come to our aid and we find ourselves quoting lines that speak to us directly.

The Bard of all times says in a sonnet: Love alters not with his brief hours and weeks/ But bears it out to the edge of doom. My all-time favourite lines are from W B Yeats: I have spread my dreams under your feet/ Tread softly because you tread upon my dreams. In another poem, he says, Yet one man loved the pilgrim soul in you and loved the sorrows of your changing face.

In The Anniversary, the metaphysical poet John Donne draws us to the immortality of love: All other things to their destruction draw/ Only our love hath no decay/ This no tomorrow hath, nor yesterday. And Christopher Marlowe says, albeit to a vision of Helen, Thou art fairer than the evening air clad in the beauty of a thousand stars. I have yet to come across a more pristine expression of beauty. A good friend wanting to propose to the girl he loved gifted her a book, Of Human Bondage, and the flyleaf said. Leading you to an overwhelming question... Never has Eliot been set to better account. No doubt the question was answered in the affirmative.

In the initial years of love with all its hyperbole and metaphor, Shelley would come to the rescue: The desire of the moth for the star/ the night for the morrow/ The devotion to something afar/ From the sphere of our sorrow. Jalaluddin Rumi, the Sufi mystic, says true love is close to divinity: I am ashamed/ to call this love human/ and afraid of God/ to call it divine. As we get on in years and love has only ripened with the years, we have Walt Whitmans words, There we two content, happy in being together, speaking little, perhaps not a word.

And yet while these lines resonate with their relevance across time, the best words are from oneself from the core of ones being as when my husband said to me, I miss you all the time, I miss you even while you are with me. A paradox I thought at that time but with years I learnt all love is an eternal missing. Happy Valentines Day!

Sudha Devi Nayak Email: sudhadevi_nayak@yahoo.com

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Its that time when love is in the air - The New Indian Express

In Amazon web series Afsos, black humour and a high body count on the road to immortality – Scroll.in

The new Amazon Prime Video web series Afsos is supposedly based on a novel whose author remains unidentified. Was Golpur Goru Chaande ever committed to the page or is it a joke, like the fake disclaimer that precedes the Coen brothers 1996 cult movie Fargo (This is a true story. The events depicted in this film took place in Minnesota in 1987. At the request of the survivors, the names have been changed. Out of respect for the dead, the rest has been told exactly as it occurred.)

Keep wondering. Meanwhile, there is no ambiguity about who is driving Afsos, which has unusual subject matter that makes it vastly different from other shows on streaming platforms. The irreverent series has been created by Anirban Dasgupta and Dibya Chatterjee and written by them along with Sourav Ghosh. Director Anubhuti Kashyap deftly navigates the peaks and troughs of a black comedy with lashings of existentialism and a penchant for alternative history. The cast is stellar, with the always-watchable Gulshan Devaiah in pole position as the man who doesnt want to live but is simply unable to die.

Devaiahs Nakul is a serial suicide attempter who has failed despite his best efforts. His therapist Shloka (Anjali Patil) ladles out life-affirming cliches (Quitting is not an option, Nakul!), but he is unmoved. Nakul contacts the merciful duo at the Emergency Exit agency to organise a hit on himself. Emergency Exit, which helps people reach their makers faster, is run by Maria (Ratnabali Bhattacharjee) and Vikram (Ujjwal Chopra) out of a trailer somewhere in Mumbai and has Fargo signs all over, presumably as a tribute to the Coens macabre vision.

The task of liberating Nakul from his agony is handed to the single assassin on the agencys payroll (the operation is as lean as it is mean). This grim reaper is better known by her surname, Upadhyay, and she would win the Employee of the Year award hands-down once she takes on an assignment, she will fulfill it, even if the client has a change of heart.

Upadhyay (Heeba Shah) carves notches on her hand representing her kills, but she is somehow unable to finish off Nakul. The answer has everything to do with the quest for immortality represented by Fokatiya (Robin Das), a sadhu from Uttar Pradesh. Fokatiya believes that he holds in his palms amrut, or elixir, the same fluid of eternal life written about in the holy texts. The inspector Bir (Akash Dahiya) from Uttarakhand thinks that Fokatiya is a killer. The suited-booted scientist Goldfish (Jamie Alter) predicts that by 2054, humankind will have conquered death and will live forever.

Nakul, meanwhile, chooses his side of the debate and decides that he wants to live after all. Upadhyay is unmoved. Weapons are discharged. Declarations of love are made. A police investigation gets underway. Fokatiya arrives in Mumbai, as does inspector Bir and a mysterious tourist (Danish Sait).

The game of who gets to live and who dies is a familiar one. The makers of Afsos, which is always meant to be taken lightly despite tackling metaphysical themes, have an added challenge who cares? It helps that the characters are sharply etched and mostly superbly performed, and that the deadpan comedic tone remains more or less consistent throughout the eight-episode run. When Fokatiyas elixir doesnt work as expected, a laidback Mumbai police inspector has an excellent response: its a matter for the consumer court, he says.

Theres no shortage of imagination here, only a familiar tendency to keep the strangeness coming at all costs. A track involving Shloka and the granite-hearted Upadhaya carries on for far too long, just like the series, which expands its scope to include urban legends and conspiracy theories. The regrets include the underutilisation of the talented Akash Dahiya, Danish Saits silly fake Russian number, and the underserviced Nakul-Shloka romance, which is among the reasons Nakul chooses to try living over dying. Gulshan Devaiah and Anjali Patil make a fine pair, but their connection gets lost as the chase for the man who will live forever wanders on, about and off course.

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In Amazon web series Afsos, black humour and a high body count on the road to immortality - Scroll.in