Financial institutions have long trusted one comforting idea about AI risk: When the system is uncertain, risky, or wrong, a ...

ChatGPT Image 2.0 suggests that AI image generation is evolving into visual reasoning and verifiable AI, with implications for the future of physical intelligence.

Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and useful AI outputs.

The industry framing of "what can AI do?" is mismatched with how AI is deployed today, and the conclusions can leave firms a ...

Protégé uses AI to immediately turn plain-language questions into strategic business insights grounded in trusted data and ...

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, making early and accurate diagnosis essential for improving patient outcomes.

As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained ...

The debate over the BCCI's exclusion from RTI highlights a complex relationship between trust and accountability in Indian ...

Lung cancer diagnosis relies heavily on interpreting complex computed tomography (CT) images, where accuracy can vary ...

A closely watched case now pending before the Second Circuit could reshape how banks handle a category of fraud claims long understood — based ...