AI & RoboticsNews

Researchers propose Falcon, a privacy-preserving communication protocol for AI training and inference

In an academic paper published this week on the preprint server Arxiv.org, a team of researchers from Princeton, Microsoft, the nonprofit Algorand Foundation, and Technion propose Falcon, an end-to-end framework for secure computation of AI models on distributed systems. They claim that it’s the first secure C++ framework to support high-capacity AI models and batch normalization, a technique…
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AI & RoboticsNews

Janelle Shane explains AI with weirdness and humor, in book form

If, like many people these days, you’re trying to get a firmer understanding of what AI is and how it works but are secretly panicking a little because you’re struggling with terminology so opaque that you’re lost before you get to Markov chains, you may want to crack open Janelle Shane’s new book. She recently sat down with VentureBeat to talk about the book, whose title, You Look Like a…
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AI & RoboticsNews

Ferrum raises $9 million to prevent medical mistakes with AI

Ferrum, a startup developing an AI patient safety platform to prevent medical errors, today announced that it secured $9 million in seed funding. According to CEO Pelu Tran, who’s also a technology pioneer at the World Economic Forum, the plan is to use the capital infusion to refine the company’s product as Ferrum makes engineering, sales, and marketing hires. That could be good news for…
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AI & RoboticsNews

Google open-sources data set to train and benchmark AI sound separation models

Google today announced the release of a new data set — the Free Universal Sound Separation data set, or FUSS for short — intended to support the development of AI models that can separate distinct sounds from recording mixes. The use cases are potentially endless, but if it were to be commercialized, FUSS could be used in corporate settings to extract speech from conference calls. It follows…
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