As enterprises adopt AI, many are discovering that context, not model sophistication, determines whether systems can be ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

Online recommendation is moving into a new phase as transformers begin to reshape how graph-based systems understand users, items, and their hidden connections.

ACM, the Association for Computing Machinery, today named Matei Zaharia as the recipient of the ACM Prize in Computing for ...

The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even ...

Explore how AI-driven DAOs are managing billion-dollar treasuries with autonomous agents, reshaping decentralized finance, governance, and the future of digital asset management.

The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even ...

Recent trials using quantum hardware demonstrate how advanced computing can expose hidden criminal networks and transform global financial crime prevention ...

The ANTENNA project invites the public to forecast insect population trends and compete against machine learning models using ...

Exiger, the market-leading supply chain AI company and largest provider of supply chain technology to the U.S. Government, announced today that it has achieved "Awardable" status through the Platform ...