Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Chinese tech firm Meituan launched a new artificial intelligence model on Tuesday that it said was the first of its size to be trained using domestically developed computer chips. The country is ...

Unconventional AI Inc. has developed an artificial intelligence architecture that could improve the power efficiency of image ...

DeepReinforce today released Ornith-1.0, a family of open-source coding models built around a mechanism most RL-trained agents avoid: the model itself writes the training harness that guides its own ...

2 Govt ITIs To Be Upgraded ...

Some TV and film vets are taking gigs in the world of Reinforcement Learning from Human Feedback, helping smooth out Gen AI ...

Abstract: In this article, a Pareto-guided active learning surrogate model is presented for electric machine optimization. Monte Carlo dropout is integrated into the surrogate model to address the ...

Is AI leaving the era of "turn-based" chat? Right now, all of us who use AI models regularly for work or in our personal lives know that the basic interaction mode across text, imagery, audio, and ...

FRESNO, Calif. (KFSN) -- A new machine donation is advancing medical training at UCSF Fresno's Clinical Skills and Simulation Center, giving students and physicians greater access to advanced ...

Pediatric varicella encephalitis is a rare but serious complication of varicella, which has a significant impact on patient prognosis. Early clinical diagnosis is still challenging due to atypical ...

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...