Tools designed to verify and monitor physical AI systems offer value, but human oversight is needed to prevent accidents and unexpected behavior.

While the increased adoption of AI within enterprises is generally positive for employees and pushes business innovation forward, it is also raising difficult questions for security teams, such as how ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

The integration of artificial intelligence (AI) and machine learning (ML) into ammonia refrigeration systems and process safety management (PSM) is no longer a futuristic concept; it is a present-day ...

Governments around the world — including the U.S., UK and Australia — are increasingly recognizing the transformative power of artificial intelligence and machine learning (ML) in public service ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

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 ...

Apple is expected to push its Gemini-trained Apple Foundation Models and new chatbot-like Siri functions during WWDC, but ...

Researchers working in a Merck & Co. laboratory. Merck cites its development of its next-generation KRAS G12C inhibitor MK-1084 as an example of its successful leveraging of artificial intelligence ...

The US National Institute of Standards and Technology (NIST) has warned that there are significant challenges and limitations for mitigating attacks on AI and machine learning (ML) systems. The agency ...