Daily Archives: February 6, 2021

Bingo and AI The changing relation between entertainment and artificial intelligence

Artificial Intelligence has been on the tech agenda for more than two decades now, although its impact on our day-to-day lives is perhaps yet to be fully realized. Perceptions of AIs innovation are broad and have altered over time.

For many, AI is an exciting new tool that will improve the quality of our lives, at home and work, by being able to deliver functions that will save us time and enhance our experiences in the world of leisure and entertainment. But for others, AI is perceived as a threat to our livelihoods. Old-fashioned perceptions push the narrative that technology must be managed and developed slowly or not developed at all to protect our ways of life.

This has contributed to AI receiving only sporadic funding and being dismissed by some as a pipe dream. However, we will discuss the positive impact that AI is having on the world of digital entertainment, and in particular in the world of bingo and online casino gaming.

Although many may not realize AI is already readily utilized as a part of several mainstream digital entertainment experiences. For example, Netflix viewers will receive recommendations of what to watch next based on the technology. AI is used to interpret data and produce an algorithm that displays film and TV suggestions that will likely appeal to the user based on their previous habits. In this instance, AI is helping to deliver a much more bespoke, personalized experience to paying subscribers.

In gaming, AI can be used to set a difficultly level based on the players abilities and can make configuration recommendations to enhance the players experience. Where human guidance is not possible, AI helps to keep new players on track.

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Other gaming sectors, such as online casino gaming, have contrasting relationships with AI. Some platforms utilize the technology in a similar way to traditional console titles to automatically change personalization. It can also be usedto speed up manualprocesses, such as repeating a previous bet or warning the player against twisting in a game of blackjack when they have a good hand.Others instead use more tried and tested innovations such as random number generators to ensure games are fair.

Some businesses in the casino sector have adopted the technology to try and enhance the experience for players. Sue Dawson from Best New Bingo Sites explains how In real money online gaming, AI can be used for targeting marketing and advertising so that players receive promotional offers that are tailored to their preferences and behavior. For instance, you might receive an offer of free spins for the slot game you play most oftenat the time of day youre most likely to play. The games themselves are strictly regulated, though, and must use verified RNG to ensure that all players have the same chance of winning.

Source: Pexels

As is the case in any area of technology, its fascinating to speculate what the future may hold for AI. Already developers are experimenting with its use in spheres like art and even literature. Art AI Gallery offers images for sale that have been generated by artificial intelligence, while developers have experimented with using AI to write plays, make music, and script films.

Its clear from the evidence that AI is already a major part of many lives, and as the technology behind it advances, its likely that will see further leaps forward taken in the years and decades to come.

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Bingo and AI: The changing relation between entertainment and artificial intelligence - Analytics Insight

Artificial intelligence (AI) is poised to change lives. From fueling medical discoveries to smart collars that can decipher and display the emotions of our household pets, this emerging technology is enabling organisations to innovate. According to IDC[1], by 2025, AI-powered enterprises will see a 100% increase in productivity and new product introduction success rates, higher than those of their non-intelligent peers. By being able to anticipate the market and operational changes with AI, organisations will respond much faster than their competitors. They will be agile enough to adapt to changes in the market and innovate.

Hence, accelerating AI solutions for businesses should be the focus for organizations in India. For example, HPC workloads are becoming more data centric and adding AI technologies to advance the capabilities of traditional HPC modeling and simulation. In the next few years, HPC technologies, such as HPC-enabled machine learning training, will go from experimentation models to production models. As CTOs and CIOs in India look to create an enterprise infrastructure that provides robust performance and scalability for large and highly complex AI models while keeping deployment costs low, the answer may lie in HPC for three key reasons:

Data analytics: Businesses relying heavily on data analytics generate new insights which improve efficiencies and give them a competitive edge. However, when it comes to analysing large sets of unstructured data that are exponentially increasing in volume and velocity, traditional IT infrastructure is often hamstrung due to slow storage speeds. To adapt to significantly larger data sets and compute-intensive analytics processes, researchers are looking to exascale computing systems, capable of performing one quintillion calculations per second. Powered with HPC, these advanced performance systems are expected to have a profound impact in the faster identification of pandemics, discovery of effective medication and indication of hazardous weather conditions before they happen.

Acceleration of AI deployments: According to a study, in India, almost 70% of organisations are currently investing in Artificial Intelligence to deliver better business results. As HPC and AI continue to converge and evolve to involve more use cases across industries, the possibilities are nearly endless. Organisations are increasingly looking for pre-designed and pre-validated solutions to generate value instead of constructing IT infrastructure. To help companies with roadblocks involved in setting up an AI system, large vendors are also beginning to introduce reference architectures together with HPC infrastructure for data scientists and researchers working. With HPC and software combined, launching new AI applications is becoming easier and faster. Technology vendors are helping data scientists focus less on maintaining AI systems but more on experimenting, exploring and uncovering insights. Organizations do not need to walk their AI journey alone. By collaborating and working with end-to-end technology infrastructure providers, organisations can co-design and customise unique HPC infrastructures to meet AI research, development and AI model deployment needs.

Growing support for HPC globally and in India: The business benefits of AI are being increasingly recognised, with infrastructure providers now helping the research community and customers capitalise on HPC, expanding it from a niche market to a broader audience. More than ever, customers and partners have access to guidance from technology vendors on how to kick-start their AI initiatives including design, installation, maintenance and most importantly, delivering tangible business outcomes for their organisations. Organisations are focused on promoting open collaboration, bringing together the wide-ranging experience and knowledge of technology developers, service providers and end-users in a worldwide forum that promotes the advancement of innovative, powerful HPC and AI solutions.

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Harnessing the Power of Artificial Intelligence with High-Performance Computing: Dell Technologies - CRN - India - CRN.in

Trend Spotting

Taking into account the fast-changing fashion trends, it goes without saying that anticipating fashion trends is not only tricky but also a time-consuming task. Manually researching the previously popular styles, social media fashion trends, and customer preferences, analysts were expected to spot the upcoming trends. The guesswork done by the professionals may or may not be ac

curate. Besides the hassles of manual work, spotting fashion trends can also pose cost issues before fashion brands if not forecasted rightly. Instead, if the brands invest in leveraging AI, they can cut down all the problems quickly.

The AI tool, trained with quality and quantity data, will analyze past fashion data, check out the customer demand and preferences, gauge competitors moves, and identify the market trends. After processing the data, the AI tool will give accurate details on trendy styles and designs within minutes. With AI, fashion brands can bolster their apparel business by tracking the latest fashion trends in just minutes, which would otherwise take days or even months.

Realizing the potential of AI in design, many tech giants are already making big moves by integrating the technology for their benefit. For instance, a group of professionals inAmazon developed an AI toolthat is capable of analyzing and learning the images that are entered, and then generating an altogether new fashion design by itself. Besides, the industry behemoth - Amazon - has developed another AI application that can analyze and process the fed pictures, thereby giving a conclusion on whether a particular style will look trendy or not. Not only Amazon, but there are dozens of other such tech giants who have already embarked on their AI journey, streaming their design creation process completely.IBM, in collaboration with Tommy Hilfiger and The Fashion Institute of Technology (FIT) is using AIto empower designers in boosting the pace of the product development lifecycle.

With customers becoming restless, irritated, and grumpy on not receiving quick assistance or service, fashion retailers are faced with constant pressure to offer what customers want almost instantaneously. Several industry giants have already come up with the newest technology-powered applications that promote enhanced customer experience, one that goes beyond personalized ads, notification alerts on price drops, or chatbot assistance. Using this sophisticated technology, fashion brands strive to put customization at the forefront for customers during their buying journey. There areAI-powered personal stylist appsin the market that allow users to browse clothes online or to click pictures of their clothes. Giving these images as inputs, the app will recommend the best style according to the user's body type, complexion, and preferences while keeping the fashion trends in mind. From providing customers with personalized advertisement notifications to alerting them on price drops to clearing their doubts or queries with chatbots to now being a personal stylist and providing instant outfit suggestions, fashion brands can meet their aim ofelevating customer experience with the help of AI. With AI being able to act as both, design assistants for designers and personal stylist for consumers, it is pretty much clear that the impact of the technology is more than what we ever imagined.

The emergence of trend-setting technology, AI, has changed the way businesses carry out their processes. And, the discussion weve had, is a proof of the fact that the apparel industry is no exception. With a majority of big fashion brands already tapping into the benefits and applications of AI, it is undeniable that soon the technology will become mainstream in medium-sized companies and startups also. So, for garment companies, who haven't planned to adopt AI yet, the right time to plan and kick-start their digital transformation journey is today. After all, no one would want to be left behind in the digital race, isnt it?

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How Artificial intelligence is Transforming the Apparel Industry - BBN Times

Pilot-less jetliners may still be far off in the future due to several reasons, public trust in automated systems not being the least of them. However, this does not mean the software technology to support such operations has not developed in leaps and bounds. While there are several start-ups in tech-driven unmanned airborne vehicles, lets take a look at how the two main aircraft manufacturers use artificial intelligence in the quest for safe autonomous flight.

Artificial Intelligence (AI) is a divisive subject. Some herald it as the key solution to everything from Alzheimers and cancer to food shortages and climate change. Others, more pessimistically or dystopically inclined, say it will be the end of humanity or, at the very least, take most of our jobs.

One thing is for certain, though; AI is here to stay, and it will have a massive impact on our everyday lives in the future. Aviation is often critiqued for having been slow on the ball when it comes to AI. However, things have begun to change, and its various applications will transform the industry in the decades to come.

Data-driven sophisticated algorithms will revolutionize everything from ticket pricing, air traffic control, crew and maintenance schedules to aircraft assembly, natural language processing in the cockpit. And, of course, it will have an enormous impact on more advanced technology such as autonomous vision-based navigation or pilot-less planes, if you will.

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A little over a year ago, on January 16th, 2020, Airbus completed the first fully automatic vision-based take-off and landing within the framework of its Autonomous Taxi, Take-Off and Landing (ATTOL) project. Rather than relying on an Instrument Landing System (ILS), the AI-controlled take-off was governed by image-recognition software installed on the aircraft.

Image recognition is softwares ability to identify people, places, objects, etc., in images. You are involved in it every time you respond to a prompt to identify yourself as a human online by clicking on all the images containing a cross-walk, traffic light, or motorcycle. In the video below, it is clearly distinguishable how the software reads the visual input of the aircrafts surroundings to perform the take-off procedure.

The ATTOL project was completed in June last year. However, Airbus has stated that its goal is for autonomous technologies to improve flight operations and overall performance not to reach autonomous flight as a target in itself. Pilots, the planemaker says, will remain at the heart of operations.

Over in the other corner, in December 2020, Boeing completed a series of test-flights exploring how high-performance uncrewed aircraft can operate together controlled by AI using onboard command and data sharing. Aircraft were added one by one over a period of ten days until five operated as an autonomous unit, reaching speeds of up to 167 miles per hour.

The tests demonstrated our success in applying artificial intelligence algorithms to teach the aircrafts brain to understand what is required of it, Emily Hughes, director of Phantom Works, Boeings prototyping arm for its defense branch, said in a statement shared with Vision Systems Design at the time.

With the size, number and speed of aircraft used in the test, this is a very significant step for Boeing and the industry in the progress of autonomous mission systems technology, Hughes continued.

While Decembers test-flights were part of its defense part of the business, Boeing stated that the technologies developed from the program would not only inform its developmental Airpower Teaming System (ATS) but apply to all future autonomous aircraft.

Meanwhile, Boeings subsidiary Aurora Flight Sciences, part of Boeing NeXt, is building smaller autonomous flight vehicles. This includes the Centaur, configured for autonomous flight featuring a detect-and-avoid technology supported by radar.

How soon would you get on a crewless aircraft? Are you excited about the prospects of autonomous flight? What do you consider to be the main issues? Let us know in the comments.

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How Airbus And Boeing Are Using Artificial Intelligence To Advance Autonomous Flight - Simple Flying

BASEL, Switzerland--(BUSINESS WIRE)--Syngenta Crop Protection is collaborating with artificial intelligence (AI) and deep learning company Insilico Medicine to accelerate the invention and development of new, more effective crop protection solutions that protect crops from diseases, weeds and pests, while also protecting ecosystems. By bringing new solutions to farmers faster and more efficiently through innovation, Syngenta will help them meet the ongoing challenges they face, in order to enhance productivity and meet global demand for affordable, quality food.

This collaboration with Insilico Medicine means that Syngenta can harness the immense potential and scope of AI to develop the next generation of sustainable crop protection solutions as part of Syngentas $2bn commitment to innovation and sustainability, said Camilla Corsi, Head Crop Protection Research at Syngenta. This will further transform agriculture by providing farmers around the world with the tools they need to produce healthy, nutritious, affordable and sustainably grown food in the most efficient way, while also minimizing the environmental impact.

Insilico Medicine has a proven track record and has delivered significant advances in pharmaceutical research, using AI and deep learning to design, synthesize and validate new ingredients. The same approach also has the potential to transform the development of new crop protection solutions that help keep plants safe, from planting to harvesting. Working closely with Syngenta, Insilico Medicine will use their AI-powered small molecule generative chemistry technology not only to invent molecules for active ingredients faster, but also actively design molecules that are more sustainable and environmentally friendly.

We are very happy to collaborate with a company that is dedicated to developing safe and sustainable solutions for growers, said Alex Zhavoronkov, PhD, founder, and CEO, Insilico Medicine. Our artificial intelligence is designed from the ground up to produce very precise chemistry to protect human health, while ensuring short-term and long-term safety. This expertise is extremely valuable for crop sciences, and especially so for businesses whose top priority is the safety of their products. Syngenta is a progressive company with many brilliant scientists, and we will be working together to use artificial intelligence for the benefit of agriculture.

Our reputation as a global leader in innovation is built on a foundation of collaboration and our understanding of the challenges faced by growers, Camilla Corsi also noted. Working together with Insilico Medicine, combining our skills, knowledge and technologies, will help ensure that new and more effective crop protection solutions will be in the hands of farmers sooner.

About Syngenta

Syngenta is one of the worlds leading agriculture companies, comprising of Syngenta Crop Protection and Syngenta Seeds. Our ambition is to help safely feed the world while taking care of the planet. We aim to improve the sustainability, quality and safety of agriculture with world class science and innovative crop solutions. Our technologies enable millions of farmers around the world to make better use of limited agricultural resources. Syngenta Crop Protection and Syngenta Seeds are part of Syngenta Group with 49,000 people in more than 100 countries and is working to transform how crops are grown. Through partnerships, collaboration and The Good Growth Plan we are committed to accelerating innovation for farmers and nature, striving for carbon neutral agriculture, helping people stay safe and healthy and partnering for impact.

To learn more visit http://www.syngenta.com and http://www.goodgrowthplan.com

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About Insilico Medicine

Insilico Medicine develops software that leverages generative models, reinforcement learning (RL), and other modern machine learning techniques for the generation of new molecular structures with specific properties. Insilico Medicine also develops software for the generation of synthetic biological data, target identification, and the prediction of clinical trials outcomes. The company integrates two business models; providing AI-powered drug discovery services and software through its Pharma.AI platform (www.insilico.com/platform/) and developing its own pipeline of preclinical programs. The preclinical program is the result of pursuing novel drug targets and novel molecules discovered through its platforms. Since its inception in 2014, Insilico Medicine has raised over $52 million and received multiple industry awards. Insilico Medicine has also published over 100 peer-reviewed papers and has applied for over 25 patents. Website http://insilico.com/

Data protection is important to us. You are receiving this publication on the legal basis of Article 6 para 1 lit. f GDPR (legitimate interest). However, if you do not wish to receive further information about Syngenta, just send us a brief informal message and we will no longer process your details for this purpose. You can also find further details in our privacy statement.

Cautionary Statement Regarding Forward-Looking Statements

This document may contain forward-looking statements, which can be identified by terminology such as expect, would, will, potential, plans, prospects, estimated, aiming, on track and similar expressions. Such statements may be subject to risks and uncertainties that could cause the actual results to differ materially from these statements. For Syngenta, such risks and uncertainties include risks relating to legal proceedings, regulatory approvals, new product development, increasing competition, customer credit risk, general economic and market conditions, compliance and remediation, intellectual property rights, implementation of organizational changes, impairment of intangible assets, consumer perceptions of genetically modified crops and organisms or crop protection chemicals, climatic variations, fluctuations in exchange rates and/or commodity prices, single source supply arrangements, political uncertainty, natural disasters, and breaches of data security or other disruptions of information technology. Syngenta assumes no obligation to update forward-looking statements to reflect actual results, changed assumptions or other factors.

2021 Syngenta. Rosentalstrasse 67, 4002 Basel, Switzerland. The Syngenta logo are trademarks of a Syngenta Group Company. All other trademarks are the property of their respective owners.

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Syngenta Crop Protection and Insilico Medicine to Harness Artificial Intelligence to Transform Sustainable Product Innovation - Business Wire