The Russian invasion of Ukraine is happening not only by land, sea, and air, but through computers and the internet.
“We’re seeing the world’s first hybrid war,” Microsoft President Brad Smith said at an event in Seattle on Wednesday.
Earlier on Wednesday Microsoft released a report about the so-called hybrid war, detailing Russia’s cyberattack activity in Ukraine. The company has seen at least six Russia-aligned nation-state actors launch more than 237 operations against Ukraine. Microsoft
Lithium-ion batteries have been the mainstay in the electric battery industry for more than 20 years. But, in this clip from “The High Energy Show” on Motley Fool Live, recorded on April 5, Fool.com contributors Jason Hall, Travis Hoium, Lou Whiteman, and Tyler Crowe discuss some significant advantages of the solid-state battery, as well as the risks and costs of scaling this particular industry.
Jason Hall: These are companies for folks that don’t know are working on solid-state battery technology.
Travis Hoium: What is the advantage of solid-state?
Lou Whiteman: A lot of them. For one thing, the
Leading RWE platform Aetion to support the development of NESTcc’s Analytics Core offering, contributing to NESTcc’s RWE initiatives
ARLINGTON, Va. and NEW YORK, April 21, 2022 /PRNewswire/ — Today, the National Evaluation System for health Technology Coordinating Center (NESTcc), an initiative of the Medical Device Innovation Consortium (MDIC), announced a first-of-its-kind, five-year strategic partnership with Aetion, a leading real-world evidence (RWE) analytics provider, to advance the use of RWE in the medical device and diagnostics ecosystem.
“NESTcc has made great strides over the last several years to advance the use of RWE,” said Sandra
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!
It is a conundrum throughout the enterprise sector: artificial intelligence (AI) and machine learning (ML) modeling delivers great business value across a variety of use cases. But achieving this requires significant time and monetary investments in AI infrastructure.
And many organizations aren’t there yet — meaning that engineers often spend the majority of their time performing manual tasks and infrastructure management rather than building, training and deploying models.
“Enterprises
