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 ...

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

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 ...

AVEVA has introduced four AI tools to help engineers analyse, solve, and automate challenges in engineering and design ...

At the inaugural Columbia SPS Faculty Summit on AI Teaching and Learning, faculty and industry experts explored AI’s emerging ...

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 ...

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.

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.

The study also found Louisiana companies posted 151% more AI and machine-learning jobs than data infrastructure roles.