Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Imagine teaching someone to draw complex, scientific diagrams by only describing the picture. That’s the idea behind CoSyn, a new tool from Penn Engineering and the Allen Institute for AI. CoSyn uses ...

MongoDB MDB is laying the groundwork for sustained subscription growth through a focused, long-term approach. The company is ...

Rapidly-evolving smart grid technologies add complexity for electric utilities working to maintain a balanced network and ...

While some business leaders buy large language models, others build their own. Here are five things you need to know.

Unfortunately, my initial hands-on testing with corrupted datasets reveals a fundamental enterprise problem: impressive capabilities paired with insufficient transparency about data transformations.

Generally, the birth of football’s data revolution is dated back to the mid-2000s, although companies such as Opta and ...

Learn more about how Microsoft Sentinel data lake accelerates AI adoption, empowering teams to detect and respond faster ...

Choosing the right generative AI architecture is crucial for professional problem-solving applications. Generalist models ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it ...

Mathematics may not be the first thing people associate with Alzheimer’s disease research. But for Pedro Maia, an assistant professor of mathematics and data science at The University of Texas at ...