In the last five years, the discovery and significant interest in twisted bilayer graphene gave rise to an entirely new subfield in advanced materials science and quantum physics: twistronics. In a ...

In a new era of industrial revolution, intelligence is key. Knowing how product design can affect manufacturability or how production processes can affect finished quality helps manufacturers make ...

NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

Princeton Plasma Physics Laboratory published a new paper last week, marking significant results from the lab’s artificial intelligence research. In the paper, published in Nature Communications, PPPL ...

The rapid rise of machine learning and artificial intelligence has resulted in a mass of complex computational and operational challenges that some engineers are trying to tackle with evolutionary ...

SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to ...

A novel remote inference capability places machine learning models at the assembly and test house, without any sensitive data leaving the assembly and test house. In semiconductor manufacturing, a low ...

SAN RAMON, CA / ACCESSWIRE / January 16, 2024 / Grid Dynamics Holdings, Inc. (NASDAQ:GDYN) (Grid Dynamics), a leader in enterprise-level digital transformation services and solutions, today proudly ...

A urosepsis prediction model based on 6 factors demonstrated strong performance among a Chinese cohort. A large-scale study of 33,579 urinary stones from Southern China, published in the International ...

The general public became aware of the deep connection between big data analytics and public health during the COVID-19 pandemic. Even the most casually interested person eagerly shared metrics and ...