Google noted that machine learning has a few maintenance challenges on top of all of the challenges of traditional code: unique hardware and software …

Trusted Business Insights presents an updated and Latest Study on Machine Learning Market Market 2019-2029.

Constellation Research named CognitiveScale on the Constellation ShortList™ for Artificial Intelligence and Machine Learning Best-of-Breed …

Cable TV news is a primary source of information for millions of Americans each day. The people that appear on cable TV news and the topics they talk about shape public opinion and culture. While many newsrooms and monitoring organizations routinely audit the content of news broadcasts, these efforts typically involve manually counting who and what is on the air. But now researchers at the Brown Institute for Media Innovation at Stanford University have launched the Stanford Cable TV News Analyzer, an interactive tool that gives the public the ability to not only search transcripts but also compute the screen time of public figures in nearly 24/7 TV news broadcasts from CNN, Fox News and MSNBC dating back to January 2010. The site is updated daily with the previous day's coverage, and enables searches of over 270,000 hours of news footage. The Analyzer increases transparency around these broadcasters' editorial decisions by using modern AI techniques to automatically measure who is on the news and what they talk about.

The pandemic and upcoming US presidential election have made misinformation even more dangerous than usual. So, as part of its Defending Democracy Program, Microsoft is rolling out new tools to combat misinformation, specifically deepfakes. The new Microsoft Video Authenticator will analyze still photo and video images and share how likely it is that the media is artificially manipulated. Users will see a confidence score, or percentage chance, that the media is manipulated, and in videos, that score will show in real-time on each frame. Microsoft says the tool works by detecting subtle elements that might not be detectable by the human eye.

NEWS RELEASE GEORGIAN COLLEGE ************************* As artificial intelligence continues to rapidly transform the way organizations and their employees work, Georgian College's new graduate certificate program, Artificial Intelligence – Architecture, Design and Implementation, will help prepare the next generation of graduates for careers in one of today's fastest-growing transformational technologies. The program starts this January at the Barrie Campus. Students will acquire the necessary background to become AI system designers, programmers, implementers, or machine learning analysts. With a strong focus on applied skills, they'll learn how to design and implement supervised, unsupervised and reinforcement learning solutions for a variety of situations and solve AI challenges for a diverse set of industries. "The AI computing paradigm radically changes the functionality and capabilities of computer systems, and through this program students will solve complex AI challenges and power next generation businesses through the application of machine learning," said Tim Krywulak, Associate Dean, Design and Visual Arts.

Blackline Safety Corp. (TSX.V: BLN), a global leader of gas detection and connected safety solutions, announced today that its Blackline Vision data science team is launching testing with select clients for its first artificial intelligence (AI) software module, which will help organizations gain further operational insights for improved workforce safety, quality and productivity. This press release features multimedia. Blackline Vision's AI Gas Leak Detection module focuses on the automatic early detection of gas leaks by identifying patterns in low-level gas readings streamed to the Blackline Safety Cloud from G7 wearable gas monitors. Advance detection and proactive maintenance will enable gas leaks to be identified early, minimizing unexpected future downtime while keeping everyone safe. The initial client testing phase will run through December 2020.

Laika, the stop motion animation studio behind films like Coraline and Kubo and the Two Strings, isn't afraid to embrace new technology. We chronicled how it used 3D printing to add a whole new level of detail to 2012 film Paranorman. Now, the studio has its sights set on something even more ambitious: Artificial intelligence. Laika has partnered with Intel to use machine learning tools to clean up artifacts that used to require thousands of hours of manual artist labor. As Jeff Stringer, Laika's director of production technology explains, the company 3D prints shapes for facial performances, which animators painstakingly tweak to create natural and emotive motion-capture characters.

01, 2020 (GLOBE NEWSWIRE) — Artificial intelligence, primarily in the form of machine learning, has made great strides over the past decade. In order …

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