Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

Explanation-driven manipulation represents a structural vulnerability in AI-assisted decision making. Attackers do not need to compromise training data, model parameters, or system infrastructure.

Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...

As artificial intelligence reshapes and transforms how we live and work across industries, a question demands our attention: ...

Enterprises are not short on AI ambition. What they lack is a governance model that keeps pace with how AI is actually being ...

Illinois legislators have introduced a package of AI bills that would create a comprehensive regulatory framework for AI, covering areas such as education, employment, and professional services, and ...

Researchers developed an AI model that guides material synthesis by predicting multiple viable production pathways.

As AI workloads move from centralized cloud infrastructure to distributed edge devices, design priorities have fundamentally ...

OpenAI’s latest coding-focused AI model is being promoted as a major leap forward for software development—faster prototyping ...

A look at how different MCPs and AI agents can be targeted and how, in practice, enterprise AI becomes part of a ...

In 2026, Amazon’s reported $200 billion push into artificial intelligence is reshaping the competitive landscape across cloud computing, enterprise software, ...