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 biomedical teams in securing and managing medical devices.
“We passionately believe in the significance of our work, addressing…
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…
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 participation from Artco, NewView Capital, Canaan Partners, Gingerbread Capital, and former Yahoo CFO Ken Goldman.
Node focuses on…
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…
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 data set, and that it helps to improve the classification accuracy of smaller networks for applications with low memory and…
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…
A preprint paper coauthored by researchers at Microsoft, the Indian Institute of Technology, and TCS Research (the R&D division of Tata Consultancy Services) describes an AI framework designed to help cities and regions make policy decisions about lockdowns, closures, and physical distancing in response to pandemics like COVID-19. They claim that because it learns policies automatically as a…
