Global trade is evolving at an unprecedented pace, presenting customs authorities with the dual challenge of facilitating trade while safeguarding security and ensuring optimal revenue ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Nous Research, the open-source artificial intelligence startup backed by crypto venture firm Paradigm, released a new competitive programming model on Monday that it says matches or exceeds several ...

Abstract: Research on mitigating errors in computing and communication systems has grown with their widespread use. In quantum computing, error correction is crucial ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

Abstract: Accurate drug–drug interaction (DDI) prediction is crucial for optimizing the efficacy of combination therapies and minimizing adverse effects. Most existing methods rely on single features ...