AI & RoboticsNews

Dtex raises $17.5 million to detect cyberthreats with AI while preserving privacy

Cybersecurity threat remediation provider Dtex today announced it has raised $17.5 million. The funds will be used to expand into new and existing verticals, including banking and financial services, critical infrastructure, government, defense, pharmaceuticals, life sciences, and manufacturing. Dtex differentiates itself in the multi-billion-dollar threat intelligence market with a GDPR-compliant…
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AI & RoboticsNews

How Microsoft, OpenAI, and OECD are putting AI ethics principles into practice

Microsoft’s AI ethics committee helped craft internal Department of Defense contract policy, and G20 member nations wouldn’t have passed AI ethics principles if it weren’t for Japanese leadership. That’s according to a case study examining projects at Microsoft, OpenAI, and OECD out this week. Published Tuesday, the UC Berkeley Center for Long-Term Cybersecurity (CLTC) case study examines…
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AI & RoboticsNews

Facebook’s AI detects gender bias in text

In a technical paper published this week, Facebook researchers describe a framework that decomposes gender bias in text along several dimensions, which they used to annotate data sets and evaluate gender bias classifiers. If the experimental results are any indication, the…
AI & RoboticsNews

PinkLion’s Jennifer Bonine: AI is dramatically changing game testing

Presented by PinkLion.AI “Now that we’re all in this unique situation with COVID-19, do we have an opportunity to do something dramatically different together?” asked Jennifer Bonine, co-founder and CEO of PinkLion.AI, at GamesBeat 2020. “What are some of the new strategies we’re going to leverage in our companies to change the way we’ve been doing things and re-architect how we look…
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AI & RoboticsNews

OpenAI begins publicly tracking AI model efficiency

OpenAI today announced it will begin tracking machine learning models that achieve state-of-the-art efficiency, an effort it believes will help identify candidates for scaling and achieving top overall performance. To kick-start things, the firm published an analysis suggesting that since 2012, the amount of compute needed to train an AI model to the same performance on classifying images in a…
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