AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

AI: How does this technological revolution fit with the pharmaceutical regulators who oversee the pharmaceutical sector at ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...

Many businesses are grappling with how to use artificial intelligence securely. There are major concerns regarding sensitive ...

The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in ...

Physical AI marks a transition from robots as programmed tools to robots as adaptable collaborators. That transition will ...

Generative AI (GenAI) has catapulted from a curiosity to a central force in enterprise technology. Its ability to generate text, code, images, and insights on demand has made it indispensable for ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language ...