Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

By Atharva Agrawal Growing up in the Tiger Capital of India, Nagpur, a city surrounded by some of the country’s most eminent wildlife sanctuaries, including Pen ...

Abstract: Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning also requires ...

The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...

AMD is hiring a Senior AI/ML Lead in Hyderabad to lead the design, development, deployment, and optimization of AI/ML ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...

Google has announced LiteRT, the universal on-device AI framework, a significant milestone in a time when artificial intelligence is quickly shifting from cloud-based servers to consumers' own devices ...