AI & RoboticsNews

Applause targets AI bias by sourcing training data at scale

One of the biggest challenges — and there are many — facing the artificial intelligence (AI) realm today is inherent biases created by limited training data. Researchers have already demonstrated how Amazon’s facial analysis software, for example, distinguishes gender among certain ethnicities less accurately than other services, while Democratic presidential hopeful Senator Elizabeth…
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AI & RoboticsNews

Miso Robotics seeks $30 million in equity crowdfunding campaign

Pasadena, California-based Miso Robotics is pursuing an unconventional approach to fundraising. The robotics company announced that instead of securing a tranche from institutional investors, as is typical for young startups, it will kick off an equity crowdfunding round targeting $30 million, in collaboration with Circle’s SeedInvest and Wavemaker Labs. Reservations open this morning. For the…
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AI & RoboticsNews

Nvidia unveils Jetson Xavier NX for edge AI

Nvidia today unveiled the Jetson Xavier NX, a module for training and deploying AI systems on edge devices like drones, cars, and robots. The Xavier NX is about the size of a credit card that can achieve 21 TOPS for AI workloads, while consuming as little as 10 watts of…
AI & RoboticsNews

Adobe Max Sneaks feature AI photography, animation, and audio tools

Whenever an Adobe event offers Sneaks — quick previews of what its researchers are working on — there’s a caveat that the “projects” might not wind up in shipping products. But they often do, and if that happens with the company’s just-revealed collection of intriguing features, Adobe users can look forward to a lot of AI assistance in the foreseeable future, including tools for…
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AI & RoboticsNews

Researchers propose descriptors to prevent AI system component mismatches

AI holds enormous promise for the public sector — at least theoretically. But in practice, integrating AI components into public sector apps is limited by the fragility of those components and by mismatches among them. For example, if a machine learning model is trained on data that’s different from data in an operational environment, the component’s performance will be dramatically…
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