Tenstorrent, an AI and machine learning hardware startup based in Toronto, Canada, today emerged from stealth with over $34 million in funding and an all-in-one computer system dubbed Grayskull. Cofounder and CEO Ljubisa Bajic, a former Nvidia senior architect who previously served as director of integrated circuit design at AMD, claims that Grayskull’s architecture eliminates unnecessary…
CyberMDX, a provider of cybersecurity solutions tailored to health care systems, today revealed that it raised $20 million in funding. CEO Amir Magner said it’ll enable the company to bolster its platform and R&D to assist hospital IT, information security, and…
Logistics and supply chain analytics startup SourceDay today announced that it raised $12.5 million in venture capital financing. The bulk of the tranche will be put toward SourceDay’s go-to-market strategy, according to CEO Tom Kieley, and toward helping customers…
Microsoft claims its AI framework spots fake news better than state-of-the-art baselines
April 8, 2020
In a study published this week on the preprint server Arxiv.org, Microsoft and Arizona State University researchers propose an AI framework — Multiple sources of Weak Social Supervision (MWSS) — that leverages engagement and social media signals to detect fake news. They say that after training and testing the model on a real-world data set, it outperforms a number of state-of-the-art…
Node today announced the close of a $6 million funding round to enable developers and businesses with little machine learning experience or coding ability to deploy AI in areas like contact centers or talent and customer retention. The round was led by Mark Cuban, with…
Most of Apple’s key executives and engineers are anonymous, never appearing on stage or in news stories, but Rubén Caballero is an exception — a long-term wireless engineering VP who helped develop multiple iPhones dating back to the original model, and reportedly…
Carnegie Mellon, Google, and Stanford researchers write in a paper that they’ve developed a framework for using weak supervision — a form of AI training where the model learns from large amounts of limited, imprecise, or noisy data — that enables robots to efficiently explore a challenging environment. By learning to reach only areas of its surroundings relevant to tasks as opposed to every…
In a paper published on the preprint server Arxiv.org this week, IBM researchers describe SeizureNet, a machine learning framework that learns the features of seizures to classify various types. They say that it achieves state-of-the-art classification accuracy on a popular…
If you’ve ever used Apple’s Siri, you probably know the digital assistant has specific strengths and weaknesses, including annoyances that have stopped some people from using it at all. Instead of a top-to-bottom refresh of the service, Apple has spent nearly a decade…
Stanford researchers propose AI in-home system that can monitor for coronavirus symptoms
April 8, 2020
During the “COVID-19 and AI” livestream event run by the Stanford Institute of Human-Centered AI (HAI), Stanford professor and HAI codirector Dr. Fei-Fei Li presented a concept for an AI-powered in-home system that could track a resident’s health, including for signs of COVID-19, while ensuring privacy.
It’s designed to keep seniors, many of whom live alone, connected to family or medical…
