Monthly Archives: July 2021

Anthony Bourdain Doc Recreates His Voice Using Artificial Intelligence and 10-Plus Hours of Audio – IndieWire

Posted: July 18, 2021 at 5:27 pm

Roadrunner, the Anthony Bourdain documentary from 20 Feet from Stardom Oscar winner Morgan Neville, takes a page from documentaries like Alex Gibneys Sinatra: All or Nothing at All in allowing the late chef and television personality to narrate his own story through the use of archival audio. Neville and his team culled through over a dozen hours of audio from Bourdains film, TV, audiobook, radio, and podcast appearances. But there are three instances in Roadrunner where Neville needed Bourdain narration that did not exist, so he turned to an artificial intelligence system that could recreate Bourdains voice.

As reported by The New Yorker in a recent interview with Neville: There is a moment at the end of the films second act when the artist David Choe, a friend of Bourdains, is reading aloud an e-mail Bourdain had sent him: Dude, this is a crazy thing to ask, but Im curious Choe begins reading, and then the voice fades into Bourdains own: . . . and my life is sort of shit now. You are successful, and I am successful, and Im wondering: Are you happy? I asked Neville how on earth hed found an audio recording of Bourdain reading his own e-mail.There were three quotes there I wanted his voice for that there were no recordings of, Neville explained. So he got in touch with a software company, gave it about a dozen hours of recordings, and, he said, I created an A.I. model of his voice.'

If you watch the film, other than that line you mentioned, you probably dont know what the other lines are that were spoken by the A.I., and youre not going to know, Neville added. We can have a documentary-ethics panel about it later.

In a separate interview with GQ magazine, Neville confirmed his team fed more than ten hours of Tonys voice into an AI model so that his voice could be recreated. The bigger the quantity, the better the result, the director added. We worked with four companies before settling on the best.

Neville continued, We also had to figure out the best tone of Tonys voice: His speaking voice versus his narrator voice, which itself changed dramatically over the years. The narrator voice got very performative and sing-songy in the No Reservation years. I checked, you know, with his widow and his literary executor, just to make sure people were cool with that. And they were like, Tony would have been cool with that. I wasnt putting words into his mouth. I was just trying to make them come alive.

The decision to use A.I. to recreate Bourdains speaking voice is already generating backlash on social media ahead of the documentarys release. As film critic Sean Burns posted, When I wrote my review I was not aware that the filmmakers had used an A.I. to deepfake Bourdains voice for portions of the narration. I feel like this tells you all you need to know about the ethics of the people behind this project.

Roadrunner opens in theaters July 16 from Focus Features.

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Harvard Astrophysicist Says We May Need Artificial Intelligence to Speak With Alien Life – ComicBook.com

Posted: at 5:27 pm

The government's highly anticipated UFO report was released earlier this month, stopping short of confirming the existence of alien life. With no legitimate confirmation that extraterrestrials walk among us, believers continue to speculate. One of the most prominent of those speculators is Harvard professor Avi Loeb, an astrophysicist who previously hypothesized aliens could have visited Earth as recently as in 2017. Now, the theoretical physicist says we may need to continue fleshing out the planet's artificial intelligence technology should we stand a chance to speak with aliens if they eventually find themselves crashlanded on the planet.

In a new opinion piece shared on Scientific American, Loeb breaks down the steps he'd recommend governmental officials take in trying to communicate with alien life found on this planet. As the physicist explains, the use of artificial intelligence would decrease the chances of any human error during communication, hopefully removing any opportunity to send "mixed messages" to potential alien research vessels or probes.

"Humanity should avoid sending mixed messages to these probes, because that would confuse our interpretation of their response," Loeb writes in his piece.

In April, Loeb wrote a separate piece on the lack of an international structure that would deal with such an "invasion." In the latest piece in the journal, published July 12th, Loeb backs up his previous thoughts.

"Any decision on how to act must be coordinated by an international organization such as the United Nations and policed consistently by all governments on Earth," he adds. "In particular, it would be prudent to appoint a forum composed of our most accomplished experts in the areas of computing (to interpret the meaning of any signal we intercept), physics (to understand the physical characteristics of the systems with which we interact) and strategy (to coordinate the best policy for accomplishing our goals)."

That's when the physicist suggests our best bet would be to send our artificial intelligence to meet with that of the hypothetical alien craft, all in an attempt to minimize errors.

"Ultimately, we might need to employ our own AI in order to properly interpret the alien AI. The experience will be as humbling as relying on our kids to make sense of new content on the internet by admitting that their computer skills exceed ours," Loeb writes. "The quality of expertise and AI might be more important than physical strength or natural intelligence in determining the outcome of a technological battlefield."

You can read Loeb's entire piece here.

Cover photo by Marcos del Mazo/LightRocket via Getty Images

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Finance automation: automate and create value in your finance team – The Drum

Posted: at 5:27 pm

There has been a huge focus on automation and digitization over the last few years. With the rise of machine learning and AI, business owners are looking at more and more areas within their business where they can utilize this technology.

If youre not already automating your bookkeeping, then you need to.

Here are my top five areas that you can start automating today.

Here are the areas of accounts payable you can start automating straight away:

Use a recurring bills function

Use an app such as hubdoc to collect all of your bills into your accounts system

Utilize the email bill to your accounts system straight from your inbox

Integrate your PO system for seamless PO generation and bill matching

Get your employees to submit their expenses directly to your accounts package

Implementing some of these will save time and duplication of tasks and allow your workflow to be more efficient.

Automating our accounts receivable, in particular credit control, has been a huge time-saver.

Here are some of the accounts receivable functions that can be easily automated:

Debtor chasing

Integrated invoicing with your operating system

Setting up automatically emailed invoices direct to your customer (useful if you send regular invoices that are consistent amounts)

If you only do one of these, I absolutely recommend implementing a debtor-chasing app that integrates to your system. This will send automatic chasing emails from a template and at intervals set by you. While you will have to pay for one of these services, the time you will win back makes it worthwhile.

Importing your bank and credit card transactions is an easy time-saver.

Reconciliations are so much simpler as the transactions are imported daily, and this cuts down human error as they are automatically imported. They match off quickly with invoices and bills, which are in the system awaiting payment. The whole process is so much quicker and easier and you have better visibility of your balances on a daily basis. Most systems automatically remember where you coded similar transactions too, so are auto-populated.

Are you still managing cash flow on Google sheets or even a spreadsheet? If so, stop now.

The best piece of automation we have implemented within the finance function without a doubt is our cash-flow management.

We use an external cloud-based cash flow tool (there are many available with a quick Google) and this integrates to our accounts software.

Some of the benefits of using an integrated cash flow tool include:

Real-time cash flow updates (due to integrations with accounts and automated daily banking reconciliations)

Planned to pay dates for bills and invoices are updated automatically as they get updated in the accounts system

Full visibility of when client/supplier invoices are due

Variance tracking of cash in and out

Scenario planning/cash flow modelling

Ability to add your forecasts in to give a realistic look of where cash will likely be at any given time in future months

My final recommendation for automation has to be your management accounts. This is not an easy area to automate and we have had to use multiple data specialists to start pulling this together, but the end result presents information in a more user-friendly way for all relevant stakeholders of the business in one place.

You can go from manually compiling a spreadsheet with data, leaving you open to error, to populating a more sophisticated version using imports from trial balances and data from other areas such as operations and sales.

We are now working towards an integrated dashboard, which populates a monthly report using data straight from our accounts package and from other data sources in the business.

This will give us a complete BI Dashboard, which can be tailored for different areas of the business in an easy-to-interpret way and that takes a fraction of the time to put together, meaning month-end reporting is quicker and more accurate. Who doesnt want to save time during month end?

Before we automated these areas, a huge amount of our time was taken up on basic bookkeeping and administration. Once we had automation processes in place, it enabled us time to focus more strategically on the business, and this is where the finance team is best utilized. We also have the added knowledge of knowing our data is more accurate due to the integration of systems with less manual entry.

If you can automate some of these areas you will most definitely allow your finance team more time to add real value to your business instead of being bogged down by mundane administrative tasks.

Julie Rodrrigues is finance manager at Hallam.

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How Automation is Helping Industry Adapt to Today’s Workforce Reality – Automation World

Posted: at 5:27 pm

From increasing use of automation and starting wages that are considered too low to the lackluster image of industrial work, theres no shortage of opinions about the factors contributing to the current shortage of skilled workers in the industrial production industries. Confronted with a shortage of available workers, industrial companies are increasingly turning to technology to maintain their operations.

Aaron Crews, director for modernization solutions and consulting at Emerson said the personnel shortage in manufacturing has lasted long enough that organizations are now hyper-focused on helping existing workers be more efficient and effective. And the key to doing more with fewer personnel is ensuring personnel have clear, contextualized visibility into their processes and equipment no matter where they are.

Aaron Crews, director for modernization solutions and consulting at Emerson.He clarified his point by noting that plants dont need the highest level of expertise all the time, instead they need smart systems that determine when expert help is needed, and then deliver information in context to experts wherever they are. Todays workers are mobile, and control systems embracing mobility help personnel be more effective. Organizations expect digital tools to drive DCS (distributed control systems) data from the plant level to the enterprise, where smaller groups of experts can manage entire fleets across the country or across the globe without the expense and delay of travel.

More continuous processing industry customers are using advanced and state-based control to capture expert knowledge and encapsulate it in control logic, said Crews. As experts retire, the knowledge they have built up over years in the plant can be captured as automated control strategies to ensure the control of critical process variables permanently resides in the control structure and are performed reliably every time.

Josh Eastburn, director of technical marketing at Opto 22.Josh Eastburn, director of technical marketing at Opto 22, said they have seen customers use remote access and data acquisition, built on edge computing, to reduce the need for on-site labor by as much as 50%. He cited an example of how Engenuity Inc., an oil and gas industry OEM, is using these technologies to validate pressure testing of blowout preventers and well control equipment.

Despite the ability of technology to reduce the number of workers needed in industrial operations, some contend that manufacturing and processing industries increasing deployment of modern technologies can also be an important factor in attracting the workforce of the future.

Jesse Hill, process industry manager at Beckhoff Automation.Jesse Hill, process industry manager at Beckhoff Automation, said, Embracing new technologies is key to providing a pool of talent for the process industries. A generation of engineers with experience in traditional process technologies such as 4-20mA, HART, Foundation Fieldbus, etc., is exiting the workforce. Now, processing facilities need to replace this talent with a younger workforce that is schooled on emerging technologies, which is where their interest lies.

He cited Beckhoffs TwinCAT automation software as an example of this because it gives engineers the capability to program in the language they are most familiar with or that suits the application best, whether thats real time code using object-oriented extensions of IEC 61131-3, standard PLC function blocks, or interfacing to computer science standard languages, such as .Net or Python. Also, advanced functionality like analytics, machine learning, and simulation using MatLab/Simulink can be implemented directly in the standard engineering environment and deployed on our scalable industrial PCs.

Michael Risse, vice president and chief marketing officer at Seeq.The hiring benefits of using technologies the younger workforce is more familiar with is a key realization more companies should be aware of, according to Michael Risse, vice president and chief marketing officer at Seeq (a supplier of industrial analytics software). We dont see a labor issue [impacting the available workforce] so much as an enabling employee discussion, or even a demand from younger employees, he said.Younger generations expect something better than the 30-year-old tradition of spreadsheets and historians. They are frequently comfortable with coding or scripting and, based on consumer experiences, they expect innovation in their software. Of course, that means they [expect to be able to] work from anywhere and the solutions [they use] must provide collaboration, like Google docs.

Kevin Finnan, Yokogawa industry consultant.Kevin Finnan, Yokogawa industry consultant said, Our robotics portfolio addresses the dirty and dangerous [aspects of process industry work] by using robots to venture into hazardous industrial areas. As a result, one of our customers in the process of digital transformation is changing the role of process operators [in its plants] to production analysts. This means these workers will transition away from constant attention to their screens to monitor the condition of the process at a given moment. Instead of responding to unplanned events, they will support optimization. Their focus will be on automation performance and solving performance shortcomings.

Hill added, The more we can implement these types of new technologies, the better chance we have to recruit and retain this talent in our industry. [In fact], this is an area where I think remote access can help in recruitment. Many in this next generation of engineers may not be as enthusiastic about putting on fire-resistant smocks, steel-toe shoes and hard hats to go to work every day. If much of this engineering and monitoring can be done from comfortable offices, this will lead to higher recruitment of talent into the process industries.

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Artificial Intelligence (AI) Chipsets Market to Exhibit an Exceptional CAGR of 38.9% by 2027; Implementation of Risk Management Solutions to Intensify…

Posted: at 5:27 pm

The Report Lists the Key Companies in the Artificial Intelligence (AI) Chipsets Market: NVIDIA Corporation, Intel Corporation, Xilinx, Inc., Samsung Electronics Co., Ltd., Micron Technology, Inc., Kneron, Alibaba Group Holding Limited, Qualcomm Technologies, Inc., IBM, Alphabet Inc., Microsoft Corporation, Amazon Web Services (AWS), Advanced Micro Devices, Inc. (AMD), General Vision, Inc., Huawei Technologies Co., Ltd., Graphcore Limited, MediaTek Inc., Fujitsu Limited, Wave Computing, Inc., Mythic Inc., Koniku Inc, Tenstorrent Inc., SambaNova Systems Inc, Kalray Corporation, XMOS Limited, GreenWaves Technologies

Pune, India, July 16, 2021 (GLOBE NEWSWIRE) -- The global artificial intelligence (AI) chipsets market size is expected to reach USD 108.85 billion by 2027, exhibiting a CAGR of 38.9% during the forecast period. The increasing implementation of 3D technology along with neural networks & deep learning technologies will promote the healthy growth of the market during the forecast period, states Fortune Business Insights, in a report, titled Artificial Intelligence (AI) Chipsets Market Size, Share & COVID-19 Impact Analysis, By Chipset Type (Graphics Processing Unit (GPU), Field Programmable Gate Arrays (FPGAs), Application-specific Integrated Circuit (ASIC) and Others), By Application (Natural Language Processing (NLP), Robotic Process Automation (RPA), Machine Learning, Computer Vision and Others), By Computing Technology (Cloud Computing and Edge Computing), By Function (Training and Inference), By Industry (Consumer Electronics, Healthcare, BFSI, IT & Telecom, Manufacturing, Automotive, Retail, and Others), and Regional Forecast, 2020-2027. The market size stood at USD 8.14 billion in 2019.

The whole world is battling with the novel coronavirus, leaving numerous industries distraught. The authorities of several countries have initiated lockdown to prevent the spread of this deadly virus. Such plans have caused disturbances in the production and supply chain. But, with time and resolution, we will be able to combat this stern time and get back to normality. Our well-revised reports will help companies to receive in-depth information about the present scenario of every market so that you can adopt the necessary strategies accordingly.

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Request Sample PDF Brochure: https://www.fortunebusinessinsights.com/enquiry/request-sample-pdf/artificial-intelligence-ai-chipsets-market-104500

The report on AI Chipsets Market accentuates:

All-inclusive analysis of the AI Chipsets Market

Dynamic insights into the segments

Extensive data about dominant regions

Key information about prominent players

Latest developments

AI Chipsets Market drivers and restraints

COVID-19 Influence

Regional Analysis:

Emergence of Startup Companies to Propel Market in Asia Pacific

Asia Pacific is expected to dominate the global Artificial Intelligence (AI) Chipsets Market owing to the developing economies such as South Korea, India, China. The growing acceptance of AI-based solutions will foster healthy growth of the market in the region. The government of Singapore has created an AI Ethics Advisory Council as a part of its AI Strategy to deploy AI applications across various industries in 2018.

The strong startup ecosystem is expected to further drive the market in Asia Pacific. Europe is expected to hold the largest share in the global market owing to the presence of AI solution providers in the European countries. The growing focus on R&D investments coupled with the adoption of AI technologies will consequently bolster the growth of the market in Europe. The Middle East and Africa is expected to grow rapidly during the forecast period owing to the smart city initiatives in the region. Ask For Customization: https://www.fortunebusinessinsights.com/enquiry/customization/artificial-intelligence-ai-chipsets-market-104500

Popularity of AI-based Solutions to Boost Market During Coronavirus

The production of AI chipsets has been greatly affected by the coronavirus. According to the index of industrial production (IIP) data, in 2020, the manufacturing sector production registered a decline of 11.1% in July, as covid-19 lockdown slows down the manufacturing process.

However, the demand for such chipsets has improved immensely during the pandemic because of the adoption of AI among various industries. Various industries such as automotive, manufacturing, and others have implemented AI solutions to ease up processes. Besides, the focus on advanced AI-based solutions by prominent players will aid the market amid coronavirus. For instance, in May 2020, Nvidia Corporation expanded its EGX Edge AI platform by introducing new products called the EGX Jetson Xavier NX and EGX A100.

AI Chipset Market Report Scope and segmentation:

Report Coverage

Details

Forecast Period

2020 to 2027

Forecast Period 2021 to 2028 CAGR

38.9%

2027 Value Projection

USD 108.85 Billion

Base Year

2019

Market Size in 2019

USD 8.14 Billion

Historical Data for

2016 to 2018

No. of Pages

160

Segments covered

Chipset Type, Application, Computing technology, Function, Industry

Growth Drivers

Popularity of AI-based Solutions to Boost Market During Coronavirus

Rapid Digital Transformation to Drive CRM Market Growth

Emergence of Startup Companies to Propel Market in Asia Pacific

Pitfalls & Challenges

Lack of Skilled AI Workforce to Inhibiting the Market

Speak To Analyst: https://www.fortunebusinessinsights.com/enquiry/speak-to-analyst/artificial-intelligence-ai-chipsets-market-104500

Key Development:

July 2019: MediaTek Inc. announced the launch of its new AI chipset - "MTK i700" that is featured with high-speed edge AI computation for rapid image recognition, AR applications, smart homes, stores, and factories, etc.

The Report Lists the Key Companies in the Artificial Intelligence (AI) Chipsets Market:

NVIDIA Corporation (California, United States)

Intel Corporation (California, United States)

Xilinx, Inc. (California, United States)

Samsung Electronics Co., Ltd. (Suwon-si, South Korea)

Micron Technology, Inc. (Idaho, United States)

Kneron (California, United States)

Alibaba Group Holding Limited (Hangzhou, China)

Qualcomm Technologies, Inc. (California, United States)

International Business Machines Corporation (IBM) (New York, United States)

Alphabet Inc. (Google LLC) (California, United States)

Microsoft Corporation (Washington, United States)

Amazon Web Services (AWS) (Washington, United States)

Advanced Micro Devices, Inc. (AMD) (California, United States)

General Vision, Inc. (California, United States)

Huawei Technologies Co., Ltd. (Shenzhen, China)

Graphcore Limited (Bristol, United Kingdom)

MediaTek Inc. (Hsinchu, Taiwan)

Fujitsu Limited (Tokyo, Japan)

Wave Computing, Inc. (California, United States)

Mythic Inc. (Texas, United States)

Koniku Inc (California, United States)

Tenstorrent Inc. (Ontario, Canada)

SambaNova Systems Inc (California, United States)

Kalray Corporation (Isere, France)

XMOS Limited (Bristol, United Kingdom)

GreenWaves Technologies (Isere, France)

Quick Buy - Artificial Intelligence (AI) Chipsets Market

https://www.fortunebusinessinsights.com/checkout-page/104500

Table Of Content:

Introduction

Key Takeaways

Market Dynamics

Macro and Micro Economic Indicators

Drivers, Restraints, Opportunities and Trends

Impact of COVID-19

Short-term Impact

Long-term Impact

Competition Landscape

Business Strategies Adopted by Key Players

Consolidated SWOT Analysis of Key Players

Porters Five Force Analysis

Global Artificial Intelligence (AI) Chipsets Market Share Analysis and Matrix, 2019

Key Market Insights and Strategic Recommendations

Profiles of Key Players (Would be provided for 10 players only)

Overview

Key Management

Headquarters etc.

Offerings/Business Segments

Key Details (Key details are subjected to data availability in public domain and/or on paid databases)

Employee Size

Key Financials

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Facebook is notifying some users whose posts were removed by automation – Yahoo Tech

Posted: at 5:27 pm

Facebook is testing a change that will let users know when their post was removed as a result of automation. The new experiment comes in response to the Oversight Board, which has said the social network should be more transparent with users about how their posts are removed.

The company revealed the new test in a new report that provides updates on how Facebook is handling the Oversight Boards policy recommendations. The test comes in response to one of the first cases the Oversight Board took up, which dealt with an Instagram post meant to raise awareness of breast cancer that the company removed under its nudity rules.

Facebook restored the post, saying its automated systems had made a mistake, and updated Instagrams rules to allow for health-related nudity. But the Oversight Board had also recommended that Facebook alert users in cases when a post was removed with automation rather than as a result of a human content reviewer. Facebook previously said it would test this change, which is now in effect.

Weve launched a test on Facebook to assess the impact of telling people more about whether automation was involved in enforcement, facebook writes in its report. People in the test now see whether technology or a Facebook content reviewer made the enforcement decision about their content. We will analyze the results to see if people had a clearer understanding of who removed their content, while also watching for a potential rise in recidivism and appeals rates. The company added that it will provide an update on the test later this year.

The report also shed some additional insight into how the company is working with the Oversight Board. The report notes that between November 2020 and March 2021 it referred 26 cases to the board, though its only chosen to take up three one of which was in response to its suspension of Donald Trump. (Notably, the latest report only covers the first quarter of 2021, so it doesnt address the boards recommendations in response to Trumps suspension.)

Though the Oversight Board has only weighed in on a handful of cases, its decisions have resulted in a few policy changes by Facebook that could have a much broader effect. However, in some areas, the company has declined to follow up on its policy suggestions, such as one that Facebook study its own role in enabling the events of January 6th. In a blog post, the company noted that the size and scope of the boards recommendations go beyond the policy guidance that we first anticipated when we set up the board, and several require multi-month or multi-year investments.

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Artificial Intelligence the hottest skill to have in post-pandemic world: Survey – Mint

Posted: at 5:27 pm

Mumbai: Five skills, including artificial intelligence and adaptability, can future-proof workforce in a post-pandemic world, according to a global study by Randstad RiseSmart.

Of these skills, which also include creativity, blockchain, and affiliate marketing, artificial intelligence has emerged as one of the hottest skills to have, according to the study which surveyed HR professionals and employees across several regions including India.

"AI's demand is only set to increase as technology adoption continues. Being a highly scientific field, employees seeking to upskill in this area have taken on a pragmatic approach that translates knowledge into real-world skills and helps them develop capabilities to create data sets, build machine learning models, and use Python and/or R programming to deliver measurable results," said Randstad RiseSmart in a statement.

According to the World Economic Forum, 50% of employees worldwide will need reskilling as technology adoption increases, and this need has likely only increased given the pandemic.

The survey findings add adaptability and creativity as the next best skill to have. Having the right know-how and being able to adapt to changing trends, destabilization, industry shifts can make all the difference to how business functions today, and hence will see strong demand from employers. "When the pandemic set in, businesses had to transform their operating models practically overnight. Being able to adapt to changing situations with ease, and in an efficient manner is a sign of a strong leader," Randstad RiseSmart revealed.

Among a global pool of 1,099 HR professionals and 1,142 employees, across eight countries and 20 industries, the survey took into consideration 152 HR professionals and 154 individual employees from India, representing businesses of all sizes.

Also, blockchain, which was initially designed to be a technology to support, Bitcoin has now evolved into a revolutionary means of handling data and doing business in a digital world. As the demand for blockchain technologies in daily operations increases, so has the demand for resources with a strong knowledge of the same. "Within this space, employers have laid emphasis on identifying and recruiting talent with a strong knowledge of understanding cryptography, distributed computing, security, and consensus algorithms," the survey added.

With large-scale unrest and uncertainty in the market, trust between consumers and brands is at an all-time low. In order to remedy this, affiliate marketing is emerging as an important skill today. Being an affiliate marketer involves constantly ideating to solve problems and bring in solutions that will restore customers faith in brands. From research and analytics to planning and executing well-crafted campaigns that deliver measurable results, affiliate marketing has a lot of potentials to change the face of the sales game.

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Artificial intelligence will soon be assisting your platform migrations – ZDNet

Posted: at 5:27 pm

Can artificial intelligence be employed to understand the context of computer code and write its own? There have been impressive strides being made in this direction, promising to make the work of developers -- and non-developers working with low-code/no-code platforms -- more productive, and more focused on the business at hand.

Last year, Intel, in conjunction with Massachusetts Institute of Technology and Georgia Institute of Technology, announced the creation of an automated engine designed to learn what a piece of software intends to do by studying the structure of the code and analyzing syntactic differences of other code with similar behavior. The goal of the effort "is to democratize the creation of software," said Justin Gottschlich, principal scientist at Intel. "When fully realized, machine programming will enable everyone to create software by expressing their intention in whatever fashion that's best for them, whether that's code, natural language or something else."

OpenAIGPT-3(Generative Pre-trained Transformer) also can be employed to automatically generate computer code. A development manager could "start things off in the project using a tool with GPT-3 features to build the foundation of the application," writes Vincent Tabora in Becoming Human. "By this I mean the skeleton from which the rest of the application will be built upon. The manager can simply type their requirements and the tool will generate what the manager wants. This saves project requirements for additional staff who would otherwise be responsible for building the initial application. After the skeleton has been generated, more advanced developers can come in with the rest of the project requirements to complete the application."

Along with creating new applications, AI for coding may also smooth the way for moving applications and systems to modern platforms. In a recentinterview, Maja Vukovi, an IBM Fellow at the company's Watson Research Center, explained how a client was struggling with millions of lines of code, and her team was able to employ AI to assist in migrating the code to new platforms. "Their mission-critical application has ballooned to over 1.5 million lines of code," she relates. "Decades of adding migrating combining different systems. Moreover, this evolution of the code happened by multiple development teams, some of which moved out to different roles, or are not even in the organization anymore. And there may not be even any documentation left."

It took the company's IT team more than two years of struggling with the legacy code, with no results, Vukovi says. "And why is that? Well, we as humans were not built to go and look through 1.5 million lines of code and understand what business functions are buried in there."

Enter AI. "We built an AI model that helped us, in a very short amount of time, to comb through all the code in this application, she explains. "The AI model helped us to identify just which parts of the code are obsolete or no longer in use, which parts of code are redundant, and also which parts of code can be grouped in more manageable groups of code -- or rather, microservices."

Not only did AI help the IBM team recommend suitable business-function-driven microservices, "but we can also use AI to help generate code for target microservices, further simplifying the time, she continues. "It saves the time and effort for the developers. It can also tell you where the gaps are, what else needs to be done to make those microservices fully executable. This simplifies and accelerates the entire application refactoring process tremendously -- our clients have thousands of applications in their portfolio."

This demonstration project was for one application with 1.5 million lines of code that took two years to do manually, Vukovi emphasizes. "Imagine if you have to modernize thousands of applications. You want to compress that time from a multi-year effort to something that you can do in months, or weeks."

Along these lines, IBM launched an initiative called CodeNet intended to facilitate the application of AI to code snippets, she says. Her team is making more than 14 million samples of code available as part of the open source dataset available on GitHub. The project is intended to provide for code what ImageNet, with its database of 14 million images, provided developers and researchers with identified images. "Our team has extracted the most representative code samples that can help us or help AI train and better help developers write software. Our AI for code technology is going to fundamentally change how we think about coding," Vukovi predicts.

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Two of the biggest topics facing miners are electrification and automation – Mining Journal

Posted: at 5:27 pm

Auto-mate solutions & implementations manager Damien Williams believes that may bring the best of both those worlds.

To his mind automation will bring the best out of electric vehicles and electrification will make it much easier to automate equipment.

"It's not really one driving the other or one hindering the other," he said.

"They are almost symbiotic."

Consider what is happening in the automotive sphere.

The internal combustion engine has ruled the automotive world for more than one century and the approach has been pretty much unchanged for all that time. The engine feeds into the drive train that turns the wheels and moves the car forward.

Electric vehicle makers have turned to wheel motors, replacing the drive train and all the complications that come with that. It makes for a much simpler approach.

Mining truck makers are already across this of course. Electric drive haul trucks have been making use of wheel motors for decades. Yes, those trucks use a diesel engine but that is just the power source for the wheel motors. It could theoretically be a battery.

Williams said this approach would benefit automation.

"Let's get the energy source driving the components directly," he said.

Williams' argument is that by removing the drivetrain and hydraulic gearboxes and replacing them with electric motors, automation systems become much more effective.

Removing those components removes the "noise".

"It's a reduction of input-output complexity," Williams said.

"Your control of that machine can be much tighter.

"You are taking away layers of conversion."

Williams said that approach became even more effective when applied to other pieces of equipment such as drills where diesel engines play an even bigger part driving hydraulics and air compressors.

"In addition to the myriad of transfer systems you have to monitor, parasitic loss occurs from the moment the piston fires until it activates the movement or pressure of hydraulic fluid or air. Without these steps you can be more accurate and economical in your autonomous control, critical on conventional drills where the air supply can directly impact the quality of the holes being drilled," he said.

Williams argues that using electric motors to provide the drill torque could give an even better outcome, particularly when considering introducing automation to the drilling process.

The "noise" internal combustion engines bring to the control process means automation systems providers have to start introducing fuzzy logic to compensate.

"We can be so much more effective when we don't have to use fuzzy logic," Williams said.

"With an internal combustion engine, you have more variability in output due to the underlaying design, for example what position is each cylinder is in before it starts, what condition is it in and which one is going to fire first.

"It is so much simpler with electric motors, the design complexity is not there."

"A drive to automate EV's is going to come down to management and conversion of energy."

Williams said electrification of equipment provided other issues that would have impacts on operators.

Heating is one of them. While not such an issue in Australian operations, consider those operations where the temperature goes well below 0C.

With conventional equipment waste heat from the diesels provides that heating.

"With electric vehicle providing heating can be very energy intensive," Williams said.

"You may have to put on additional componentry.

"However, if the machine is automated, there is no operator and no need for heat."

Torque is another issue. Electric vehicles can bring an enormous amount of torque to bear, which can make for an uncomfortable ride for the operator. No operator, no need to worry about that and the full torque the machine is capable of can be brought to bear optimally.

Range anxiety is a problem facing EV use and Williams believes automation can play a role in alleviating that.

"An automation platform can be tuned to get the best productivity and efficiency for an electric drive system," he said. "if there are acceleration or speed parameters for machines that will get the best efficiency from their electric energy source we can tailor our systems to achieve this."

"In addition, automation allows us to look beyond our immediate horizon, we know a logistics and support function beyond light vehicles will be needed to support the mine of the future and so we've been investing into a fit for purpose EV platform to do just this."

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Two of the biggest topics facing miners are electrification and automation - Mining Journal

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Office workers welcome automation but worry about their jobs – BetaNews

Posted: at 5:27 pm

Workers in IT, HR, finance and other roles welcome the use of tools that automate processes and improve productivity -- but many are concerned automation might someday make their jobs less relevant.

A study by Thirdera, specialist in services for ServiceNow users, finds 83 percent of workers are using AI-powered search, chatbots, self-service portals, mobile apps, AIOps, business intelligence and dynamic scheduling tools every day, and 46 percent have been doing so for at least a year.

The most common use cases are IT service management platforms (68 percent), IT operations management platforms (57 percent) and financial management platforms (37 percent). They're also being used with CRM, ERP, HR and marketing automation platforms. Within this tools category, the most popular technologies are mobile apps (used by 69 percent of respondents), business intelligence tools (65 percent), self-service portals (53 percent), AI-powered search (44 percent), intelligent chatbots (36 percent) and dynamic scheduling tools (36 percent).

The research shows the tools are having a positive impact too, 69 percent say their productivity increased substantially by using these technologies. While 40 percent report saving at least six hours per week, and 67 percent are saving at least four hours per week. In addition 34 percent say ROI from the use of these tools was achieved in less than three months, 41 percent said three to six months, and 89 percent achieved ROI in less than a year. 48 percent of respondents have at least six business processes attached to the use of these technologies.

"These tools are tailor-made to automate employee workflows and improve productivity," says Jason Wojahn, CEO of Thirdera. "They can be used by IT to respond to service requests, HR to fulfill employee inquiries, employees to submit legal forms, and field-service managers to assign tasks. Most companies that deploy these tools experience a significant and rapid return on their investments. In our business, companies are using ServiceNow to automate these tasks and workflows end-to-end."

However, there is another side to the coin, 63 percent of respondents say they are concerned their company's use of these technologies will someday make their job functions less relevant. Other worries include technologies being too expensive (48 percent), and 38 percent saying the colleagues and/or customers they're serving with these technologies would prefer more human-to-human contact. Also, 32 percent say the tools malfunction frequently, and 26 percent think theyre hard to learn.

"The purpose of this survey was to validate our assumption that modern tech tools are improving employee workflows and productivity, which they clearly are," adds Wojahn. "What we also learned is that workers still have reservations about these tools, which means service providers like Thirdera have more work to do. For example, we need to be educating the market and showing users how more comprehensive patterns of automation can enhance their value and contributions to their organizations, and augment their ways of working rather than replace human-to-human contact."

You can find out more on the Thirdera site.

Photo Credit: Wright Studio/Shutterstock

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Office workers welcome automation but worry about their jobs - BetaNews

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