Economists have noticed that betting markets like Kalshi and Polymarket are pretty good at predicting not just political ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

AI is moving from “interesting tool” to “invisible teammate.” It is now time to focus on more advanced skills that let you design, supervise and multiply that teammate’s impact, especially in ...

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...

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.

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

Teradata (NYSE: TDC) today announced the availability of its foundational enterprise-grade Data Analyst AI agent on Google Cloud Marketplace, enabling organizations to integrate advanced analytics and ...

UpGuard, a leader in cybersecurity and risk management, released new research highlighting a critical security vulnerability within developer workflows. UpGuard's analysis of more than 18,000 AI agent ...

AI is searching particle colliders for the unexpected ...

AI weather and climate prediction is more accessible than ever for scientists, startups, developers, enterprises and government agencies worldwide. At the American Meteorological Society’s Annual ...

If you like to prepare for winter weather days ahead of time, you may find yourself frustrated by rapidly shifting and varying snowstorm predictions. As much as it might be more convenient if ...

This project predicts house prices based on multiple features such as: House size (sqft) Number of bedrooms Age of the house A Linear Regression model is trained on historical housing data and ...