PeopleScout's proprietary talent acquisition technology Affinix has been named a gold winner in the HR Software Enterprise Product of the Year category in 2019 Best in Biz Awards. Winners were determined based on scoring from prominent editors and reporters from top-tier publications in North America, including AdWeek, Associated Press, Barron's, Consumer Affairs, USA Today and Wired. Your HCM System controls the trinity of talent acquisition, management and optimization - and ultimately, multiple mission-critical performance outcomes. Affinix creates an engaging hiring process that mimics the usability of the best consumer websites to drive improved results for the talent acquisition process. Designed in response to changes in candidate preferences, skills shortages, and digital disruption, Affinix provides access to the latest talent acquisition tools in one platform.

The Chief Justice of India may have cleared the air on India's courts using artificial intelligence (AI) in their decision-making process, but some concerns remain. In a measured gesture, CJI SA Bobde clarified a statement he reportedly made a few weeks ago at an event, saying that using technologies such as AI could help deliver justice swiftly. The CJI had also said that such technologies would help streamline hearing of cases while enabling better court management. The statement made many experts raise concerns over the potential abuse of AI in the judicial decision-making processes -- an issue that's fodder for heated debates across the globe now -- including former CJI RM Lodha, who at an event in Nagpur last week, expressed concerns over the use of AI in court proceedings. Today, the explosive growth in machine learning and AI seems so enticing that almost everyone, from businesses to governments to savvy individuals, is tempted to try these emerging technologies in services and processes they deem fit and in requirement of some automatic processes.

Bias in machine learning has manifested injustice in several areas, such as medicine, hiring, and criminal justice. In response, computer scientists have developed myriad definitions of fairness to correct this bias in fielded algorithms. While some definitions are based on established legal and ethical norms, others are largely mathematical. It is unclear whether the general public agrees with these fairness definitions, and perhaps more importantly, whether they understand these definitions. We take initial steps toward bridging this gap between ML researchers and the public, by addressing the question: does a non-technical audience understand a basic definition of ML fairness? We develop a metric to measure comprehension of one such definition--demographic parity. We validate this metric using online surveys, and study the relationship between comprehension and sentiment, demographics, and the application at hand.

At the Neural Information Processing Systems (NeurIPS) conference this week in Vancouver, Canada, machine learning took center stage as 13,000 researchers explored things like neuroscience, how to interpret neural network outputs, and how AI can help solve big real-world problems. With more than 1,400 works accepted for publication, you have to choose how to prioritize your time. For Google AI chief Jeff Dean, that means giving talks at workshops about how machine learning can help confront the threat posed by climate change and how machine learning is reshaping systems and semiconductors. VentureBeat spoke with Dean Thursday about Google's early work on the use of ML to create semiconductors for machine learning, the impact of Google's BERT on conversational AI, and machine learning trends to watch in 2020. This interview has been edited for brevity and clarity.

The application of artificial intelligence (AI) and machine learning to business and IT, from intelligent IT operations (AIOps) to service management to software testing, is keeping the data revolution moving at lightning speed. That's why data science remains a popular concentration for computer science students who have the talent for math and analytics. And it's why more organizations are clamoring for data scientists who can help make decisions faster and put their businesses ahead of competitors. To help you keep up, TechBeacon assembled this list of leading data scientists to follow on Twitter. Plus: Get the 2019 Forrester Wave for ESM.

Professor Hao Li used to think it could take two to three years for the perfection of deepfake videos to make copycats indistinguishable from reality. But now, the associate professor of computer science at the University of Southern California, says this technology could be perfected in as soon as six to 12 months. Deepfakes are realistic manipulated videos that can, for example, make it look a person said or did something they didn't. "The best possible algorithm will not be able to distinguish," he says of the difference between a perfect deepfake and real videos. Li says he's changed his mind because developments in computer graphics and artificial intelligence are accelerating the development of deepfake applications.

WIRE)--Citrine Informatics has been named an Enterprise of the Year Gold winner in the Best in Biz Awards, the only independent business awards program judged by prominent editors and reporters from top-tier publications in North America. Citrine Informatics' artificial intelligence technology is used by the world's largest materials and chemicals companies to accelerate the product development cycle. Since 2011, Best in Biz Awards' entrants have spanned the spectrum, from the most innovative local companies and start-ups to some of the most recognizable global brands. With more than 700 entries, the 9th annual program attracted a record number of entries from an impressive array of public and private companies of all sizes and spanning all geographic regions and industries in the U.S. and Canada. Best in Biz Awards 2019 honors were conferred in 80 different categories, including Company of the Year, Fastest-Growing Company, Most Innovative Company, Best Place to Work, Customer Service Department, Executive of the Year, Most Innovative Product, Enterprise Product, Best New Service, CSR Program, Event and Blog of the Year.

Ludwig van Beethoven's unfinished Tenth Symphony will finally be completed using artificial intelligence to mark the 250th anniversary of his birth next year. A few notes scribbled in his notebook are all the German composer left of his symphony before his death in 1827. Now, a team of musicologists and programmers is racing to complete a version of the piece using sophisticated computer software to predict what Beethoven had planned. Beethoven died leaving just a few notes for his Tenth Symphony. Sophisticated computer software will be used to complete Beethoven's work. Pictured: Lettering in his native city, Bonn, to promote'Beethoven Year' in 2020 to celebrate 250th anniversary of his birth.

Sougwen Chung is an internationally renowned multi-disciplinary artist and researcher, whose work explores the dynamics of humans and systems. Chung is a former research fellow at MIT's Media Lab and a pioneer in the field of human-machine collaboration. In 2019, she was selected as the Woman of the Year in Monaco for achievement in the Arts & Sciences. For the uninitiated, what is human-machine collaboration? Sougwen Chung: Human-machine collaboration is a perspective of technology not as a tool, but as a collaborator.

BERLIN – A few notes scribbled in a notebook are all that German composer Ludwig van Beethoven left of his 10th Symphony before his death in 1827. Now, a team of musicologists and programmers is racing to complete a version of the piece using artificial intelligence, ahead of the 250th anniversary of his birth next year. "The progress has been impressive, even if the computer still has a lot to learn," said Christine Siegert, head of archives at Beethoven House in the composer's hometown of Bonn. Siegert said she was "convinced" that Beethoven would have approved since he too was an innovator at the time, citing his compositions for the panharmonicon -- a type of organ that reproduces the sounds of wind and percussion instruments. And she insisted the work would not affect his legacy because it would never be regarded as part of his oeuvre. The final result of the project will be performed by a full orchestra on April 28 next year in Bonn, a centerpiece of celebrations for a composer who defined the romantic era of classical music.