From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

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

Meta AI has released LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges of managing datasets in large-scale machine learning projects. Built on the ...

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.

The University of Texas at Austin was the top recipient of National Science Foundation grants in fiscal year 2024 – a sign of ...

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 rate of generative AI adoption outstrips longer-standing forms of AI, as well as enterprise forecasts. Project failure rates appear to be elevated, as organizations attempt to deliver generative ...

Artificial intelligence and machine learning projects require a lot of complex data, which presents a unique cybersecurity risk. Security experts are not always included in the algorithm development ...

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

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 is often sold as a tool to speed the clean energy transition, but the technology’s own appetite for ...