Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

The list below is comprised of enterprise-level tools that include AI capability and have been vetted and approved by CU Boulder for faculty, staff and/or students. AI tools and integrations are ...

Artificial intelligence isn't science fiction anymore. For some enterprises, the technology already provides many benefits. With machine learning algorithms, for example, applications can "learn" from ...

Machine learning workflows often involve time-consuming, repetitive -- and tedious -- tasks. Automated machine learning tools streamline these processes, saving time, reducing manual effort for ...

Many developers associate machine learning and large language models with Python. That makes sense because Python was the first choice for many early adopters, and it remains popular today. But ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...