Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Less than a year after holding that generic machine-learning patents are abstract in Recentive Analytics, Inc. v. Fox Corp., the Federal Circuit ...

IMSA mentioned machine learning for diagnostics, wireless networking and RFID applications as a potential area for discussion ...

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...