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

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

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 ...

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

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.

From a converted factory in Memphis to a planned $20B, 2-gigawatt campus in Mississippi, Elon Musk’s xAI is building “AI ...

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 ...

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 ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

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.