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 ...

Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new ...

Beauty R&D is shifting toward “materials intelligence,” using AI and atom-level simulation to model ingredient interactions, cut trial-and-error, reduce waste, and speed the development of safer, ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

A California-based company is set to deliver more than 600 machine-learning infused strike drones ...

In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...

Artificial intelligence and machine learning (AI/ML) are no longer emerging capabilities inside enterprise environments. In 2025, they became a persistent operating layer for how work gets done.

A pioneering AI-enabled multi-cancer blood test, developed with the NHS in England, will be among the headline innovations ...

People with spinal cord injuries often lose movement even though their brains still send the right signals. Researchers ...

Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...