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.

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

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 ...

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 ...

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 ...

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.

Two undergraduates will be first learning to work with mice under the supervision of a postdoc in the lab, then they will lead behavioral studies that measure different learning and memory functions.

Artificial intelligence (AI) & machine learning (ML) are areas that enable computers and machines to think and learn, and they are the two powerhouses driving innovation across industries today.

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.

Today, the plastics industry stands at the threshold of a technological revolution, with artificial intelligence and machine learning poised to transform everything from material development to ...