The Motley Fool reports AI data centers are driving significant energy demand, with projections showing they could consume up ...

Auddia recently said it would expand the use of the expanded LT350 platform for the autonomous vehicle industry. ・The company’s portfolio now includes 16 issued and pending patents covering modular ...

New patent strengthens LT350's canopy based AI deployment architecture that turns the airspace of parking lots into distributed AI inference datacenters at the edge Portfolio now spans 14 issued and 2 ...

AI video models can be talked out of the truth. Even after seeing the right answer, they cave to confident users, rewrite reality, and invent fake explanations to justify it. AI is wrong enough, often ...

Fusion and advanced energy segments are transitioning from research-driven exploration to execution-focused development. As technologies are developed, attention is focused on building the ...

This isn't about rejecting large models; it's about having the engineering discipline to use smaller, specialized models ...

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

McKinsey identifies four coordinated steps that connect strategy, technology, and people to build strong foundational data ...

Purpose-built small language models provide a practical solution for government organizations to operationalize AI with the ...

A new Bloom Energy report finds power availability emerging as the defining constraint on AI data center growth, driving gigawatt campuses, onsite generation, and shifts in U.S. data center markets.

Abstract: As the proportion of renewable energy sources (RESs) rises, power prediction deviations and low security margins have become critical. In the intraday stage, system op erators must revise ...