A team of scientists at Texas Tech University Health Sciences Center (TTUHSC) has published new evidence suggesting that the ...

One near-term application of world models is in the entertainment industry, where they can create interactive and realistic ...

One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...

Abstract: Data voids significantly compromise the reliability of Digital Bathymetry Models (DBMs) for critical applications such as oceanographic research and resource exploration. Traditional ...

This study by Zhidong Cao, Xiangyu Zhang, and Daniel Dajun Zeng systematically examines the technical, cognitive, and reasoning attributes of Large language models (LLMs). It positions LLMs as a novel ...

Expectations are like elbows - stop it - everyone has them. When it comes to the Washington Commanders, it seems just about everybody has an opinion or assertion as to how good or bad they’ll be in ...

There's a new player in the AI race, and it's a whole country. Switzerland has just released Apertus, its open-source national Large Language Model (LLM) that it hopes would be an alternative to ...

In recent months, the AI industry has started moving toward so-called simulated reasoning models that use a "chain of thought" process to work through tricky problems in multiple logical steps. At the ...

Microsoft is moving more of the data governance workload to users, but says that this will lead to greater accountability and transparency. Microsoft Fabric users will soon face more work to set up ...

LGND AI Inc. has raised $9 million in funding to enhance its namesake cloud platform, which helps artificial intelligence models process satellite images. The startup announced the seed round on ...

Luxury watches are a stable investment with low market volatility, a study found. Rolex models like showed stronger value growth over a 15-year period, sales report said. Pre-owned watch data ...

A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more accurately than traditional sensor-based approaches, according to a recently ...