Scientific ideas sometimes have to wait decades for technology to catch up. Statistical algorithms developed at the Yerevan ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Dhubaib, principal technologist at Rubrik, explores how data complexity and task complexity serve to increase uncertainty when working with AI systems and trusting the quality of the summaries they ...

When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...

Enterprise data masking tools help organizations protect sensitive data while still making it usable for testing, analytics, ...

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Abstract: The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images and ...

The integration of multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics, has revolutionized our understanding of complex biological processes. This topic is centered ...

It will take years to transform business, but the journey begins now. by Marco Iansiti and Karim R. Lakhani Contracts, transactions, and the records of them are among the defining structures in our ...

Abstract: Unmanned aerial vehicles are evolving rapidly and being deployed in increasingly varied contexts. As their roles broaden, acoustics is gaining prominence as a complementary, passive source ...