The Advanced Research Projects Agency for Health (ARPA-H) is soliciting proposals to develop two agentic AI assistants for ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Snowflake Inc. is leading off its Snowflake Summit 2025 user conference in San Francisco today by unveiling a series of new artificial intelligence capabilities intended to simplify the ways users ...

Forbes contributors publish independent expert analyses and insights. An HBS Executive Fellow, Paul Baier writes about enterprise AI. Regulated enterprises face a higher bar when pursuing AI-driven ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Artificial Intelligence and Data Science are among the fastest-growing and most transformative domains in technology today, driving innovation across industries such as healthcare, finance, retail, ...

"Artificial Intelligence, or AI, promises many benefits in all domains, and rocketry is no different," the ESA said in a ...

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

Top AI graduate programs at schools like Carnegie Mellon and Stanford are feeding a field where salaries average over $150,000—with job growth outpacing the broader market.

AI sits at the top of CEO agendas, even as governance, alignment, and execution continue to lag. The narrative of widespread ...