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State-of-the-art AI systems are remarkably capable, but they suffer from a key limitation: statisticity. Algorithms are trained once on a dataset and rarely again, making them incapable of learning new information without retraining. This is as opposed to the human brain, which learns constantly, using knowledge…
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As part of Microsoft’s research in ways to use machine learning and AI to improve security defenses, the company has released an open-source attack toolkit to let researchers create…
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As more organizations begin employing AI in production environments, it’s clear not everyone has completely thought through how AI will fundamentally change their business. Most of the…
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Salesforce’s Tableau arm is making a case for employing AI to drive a new era of business science using analytics applications infused with machine learning algorithms the average end user can easily employ.
Tableau has added support for Einstein Discovery to the 2021.1 update of its namesake analytics…
Securiti releases AI-powered data privacy and security platform to provide unified controls
April 8, 2021
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The proliferation of network configurations has added new layers of complexity to digital security. As enterprises embrace approaches like multi-cloud deployments and APIs, it can be more…
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CrowdAI, a computer vision development platform, today announced that it closed a $6.25 million series A financing round led by Threshold Ventures. The fundraising coincides with the launch…
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Facebook today open-sourced a dataset designed to surface age, gender, and skin tone biases in computer vision and audio machine learning models. The company claims that the corpus — Casual Conversations — is the first of its kind featuring paid people who explicitly provided their age and gender as opposed…
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Klevu, a company developing AI products that personalize ecommerce search and discovery experiences, today announced it has closed a $12 million series A round. This marks the launch of…
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“Offensive AI” will enable cybercriminals to direct attacks on enterprises while flying under the radar of conventional, rules-based detection tools. That’s according a new survey…
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The past several years have made it clear that AI and machine learning are not a panacea when it comes to fair outcomes. Applying algorithmic solutions to social problems can magnify biases against marginalized peoples; undersampling populations always results in worse predictive accuracy. But bias in AI…
