As of Wednesday afternoon, both primary global forecast models (GFS and ECMWF) were keeping this storm far enough offshore ...

In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Terrestrial data centers are so 2025. We're taking our large-scale compute infrastructure into orbit, baby! Or at least, that ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Claude Sonnet 4.6 is more consistent with coding and is better at following coding instructions, Anthropic said.

Subaru Crosstrek ($2,299), Jeep Wrangler ($2,307) and Honda CR-V ($2,316) are the cheapest cars to insure in 2026, according ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

• Invest in data readiness. Informatica’s CDO survey notes that data quality and readiness (43%), technical maturity (43%) and skill shortages (35%) are the top obstacles to AI success. Winning ...