Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Those who triumph in coupling the connectionist approach of machine learning techniques with the symbolic reasoning underscoring AI’s knowledge base make these technologies much more efficient, ...

Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

While the startup originally developed its data “feature store” software for providing data to machine learning systems, Tecton has enhanced its system to provide relevant, reliable data for ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Twitter has just scooped up machine-learning start-up Whetlab for an undisclosed sum. “We’ve acquired [Whetlab] to accelerate Twitter’s machine learning efforts,” Twitter tweeted on its Engineering ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...