Palantir, NVIDIA and Teradata lead as Big Data demand surges, with AI tools and infrastructure reshaping how industries ...

There is some uncertainty around the timeline to value with agentic AI. The lack of clarity owes largely to the velocity of ...

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

As AI continues to dominate the technology landscape, the data underlying the information these artificial intelligence solutions train on is under more scrutiny than ever. Here, data professionals ...

In supply planning, optimization is critical. Optimization, another solution used by supply chain software vendors for over two decades, is now considered a form of AI. Optimization works, it delivers ...

Network automation is becoming a must-have for enterprises as networks get more complex and AI projects multiply. Traditional ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

"It's an arms race to be able to consume the right kind of data in the right kind of way to be able to make the right decisions," Citadel's CTO said.

Believers claim some form of artificial general intelligence or superintelligence could emerge by the end of the decade, but ...

In life science research, data comes in many forms - structured clinical trial tables, semi-structured instrument outputs, and unstructured lab notes or images. This “variety” makes it difficult to ...