Learn how this new standard connects AI to your data, enhances Web3 decision-making, and enables modular AI systems.

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Count data modelling comprises a suite of statistical techniques dedicated to analysing non-negative integer-valued observations. Such data often arise in a variety of contexts including epidemiology, ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

SAN FRANCISCO--(BUSINESS WIRE)--Sigma, the first data analytics solution built natively for live query on cloud data, announced today several new features* aimed at providing data engineers, data ...

Climate scientists are confronting a hard truth: some of the most widely used models are struggling to keep up with the pace ...

According to analyst Gartner, small language models (SLMs) offer a potentially cost-effective alternative for generative artificial intelligence (GenAI) development and deployment because they are ...

Not to get too lofty, but if you think about it, one could argue that our entire world is powered by data. Statistics here, IP addresses there. Ones, zeroes, and many other numbers coasting down the ...