Day: October 19, 2020
Lightspeed-Backed Rephrase.ai Enables Businesses To Generate Videos On The Fly With AI/ML – Inc42 Media
Every couple of months you can expect a collage of plain-looking portraits of human faces driving up chatter on social media with the headline asking you to guess which among them are real people and which are generated by AI. The technique which allows computer engineers to create these kinds of lifelike faces was invented…
Defense Official Calls Artificial Intelligence the New Oil – Department of Defense
Artificial intelligence is the new oil, and the governments or the countries that get the best datasets will unquestionably develop the best AI, the Joint Artificial Intelligence Center’s chief technology officer said Oct. 15. Speaking on a panel about AI superpowers at the Politico AI Summit, Nand Mulchandani said AI is a very large technology and…
Artificial Intelligence Method Builds in Error for Better Models – HealthITAnalytics.com
By Jessica Kent October 19, 2020 – An emerging method builds error and uncertainty into artificial intelligence models, ultimately leading to more efficient, precise tools in many areas of research – including healthcare. Researchers at the University of Delaware and the University of Massachusetts Amherst discuss the new approach in a paper published in the journal…
A new approach to artificial intelligence that builds in uncertainty – Science Daily
They call it artificial intelligence — not because the intelligence is somehow fake. It’s real intelligence, but it’s still made by humans. That means AI — a power tool that can add speed, efficiency, insight and accuracy to a researcher’s work — has many limitations. It’s only as good as the methods and data it…
A global collaboration to move artificial intelligence principles to practice – MIT News
Today, artificial intelligence — and the computing systems that underlie it — are more than just matters of technology; they are matters of state and society, of governance and the public interest. The choices that technologists, policymakers, and communities make in the next few years will shape the relationship between machines and humans for decades to…
93% of SOCs implementing AI and ML for threat detection
A study by Micro Focus has found that 93% of security operations centres (SOCs) have looked to AI and ML tools for threat detection A rise in cyber threats has proved a major concern among organisations. As well as the common use of AI and ML when addressing threat detection, 89% of SOCs expect to…
NXP Announces Expansion of its Scalable Machine Learning Portfolio and Capabilities
NXP Image NXP expands scalable machine learning capabilities NXP expands scalable machine learning capabilities NXP makes a strategic investment with Au-Zone Technologies to expand eIQ™ Machine Learning development environment NXP is the lead technology partner for Arm Ethos-U65 microNPU (Neural Processing Unit), that will be integrated into future i.MX applications processors Powering a new wave…
Microsoft planning a new ML/AI based approach for testing its update features – TechnoSports
Windows is the dominating OS of home and office desktop. With Windows 10 being Microsofts preferred OS as of now, the Redmond-based giant is pushing its updates for the latest OS build to improve the user experience of its platform. But there is one problem with every major update of Windows 10 since its initial…
5 ways machine learning is transforming IT monitoring in 2020 – TechHQ
As IT monitoring teams face increasing challenges, machine learning can help provide cost-efficient and effective solutions 19 October 2020 Artificial intelligence (AI) and machine learning (ML) have been vital in taking pressure off of internal processes. Source: Unsplash. As IT infrastructures become increasingly complex, it has become imperative for IT leaders to create new monitoring…
Is Artificial Intelligence Closer to Common Sense? – InfoQ.com
Key Takeaways Intelligent software agents must use common sense in order to reason. Common-sense knowledge is required before intelligent software agents can anticipate how people and the physical world react. Deep learning models do not currently understand what they produce, and have no common-sense knowledge. The Commonsense Transformers (COMET) project attempts to train models with…