Developers can now build, test, and deploy applications powered by OpenAI’s gpt-oss models within the AI development platform ...

Researchers at IMDEA Materials Institute have developed a streamlined and industrially scalable methodology to design and ...

Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

The Precision Summit, presented by Continental Diamond Tool, is a manufacturing open house that invites anyone with an interest in manufacturing, CNC grinding and automation to attend at the United ...

The Perot Museum in Dallas is opening "Bug Lab," an interactive exhibit that explores the world of insects through giant models and hands-on activities.

Google DeepMind is launching an on-device Gemini Robotics model that can run on robots without an internet connection.

The study leverages machine learning to combine multiple diagnostic metrics, achieving higher accuracy and reliability than conventional approaches. The model was trained on extensive datasets and ...

To our knowledge, to date, however, there are no widely utilized machine learning (ML) models that predict development of CLL. Therefore, the objective of this study was to leverage readily available ...

Home Tech Features The god in the machine An AI model with superhuman intelligence could soon become reality. Should we be worried?

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

MiniMax reports that the M1 model was trained using large-scale reinforcement learning (RL) at an efficiency rarely seen in this domain, with a total cost of $534,700.