Washington has become fixated on artificial intelligence. Congress holds hearings on AI. Investors pour billions into AI ...

Virtually every company in the economy is rushing to integrate AI technology, robotics and automation into its business model, but a handful of companies have AI products and services at the very core ...

The words “artificial intelligence” (AI) have been used to describe the workings of computers for decades, but the precise meaning shifted with time. Today, AI describes efforts to teach computers to ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

AI adoption is expanding across industries as companies integrate data analytics, generative AI, and automation into everyday operations to support faster and more informed business decisions. AI now ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Will artificial intelligence ever be able to reason, learn and solve problems at levels comparable to humans? Four experts at the University of California San Diego believe the answer is yes – and ...

To a layperson, technology and biological life may seem like opposite poles. However, the tech industry regularly draws lessons from living organisms, striving to build tools and systems that not only ...

Artificial intelligence (AI) holds significant potential to advance Sustainable Development Goals by enabling data-driven insights and optimizations. In this analysis, we review 792 articles that ...

The emergence of publicly accessible artificial intelligence (AI) large language models such as ChatGPT has given rise to global conversations on the implications of AI capabilities. Emergent research ...

The Israeli Medical Association has published a position paper that sets boundaries for the growing use of artificial intelligence systems in medicine.

Many of the challenges we address here were evident to the pioneers of medical decision analysis of the 1950s 7 and to scholars in subsequent decades 8-11 who conducted careful and creative studies of ...