Tufts University researchers are using AI and machine learning to more quickly identify potential narrow-spectrum antibiotics ...

The following seven companies represent the vanguard of this movement, driving the industry's technical and strategic evolution.

By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

ICLR 2026 is wrapping up today, closing out nearly a week of presentations, debates, and research showcases from leading AI ...

New capabilities accelerate underpayment recovery and denial appeals resolution - helping health systems recover more ...

AI-enabled smart grids use real-time predictive analytics and machine learning to match supply with demand, improving efficiency.

Environmental journalists are pairing satellite imagery and machine learning to expose illegal mining across the Amazon.

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...

Launching a digital wallet today involves far more than enabling payments. As the digital wallet trends 2026 show high adoption of digital wallets, so do the challenges like increasingly sophisticated ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...