Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Why complex reasoning models could make misbehaving AI easier to catch

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

One and done is not enough: Study challenges traditional evolutionary research

Every living being must cope with a changing world—summer gives way to winter, one year it floods and the next is a drought.
Tech Xplore on MSN

New computer vision method links photos to floor plans with pixel-level accuracy

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...
Investopedia

The Agency Problem: Two Infamous Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Understanding Backward Induction in Game Theory: Process and Examples

Explore how backward induction helps solve game theory problems by working from the end backward to determine optimal actions ...
The New York Times

Climate and Environment

Trump Media plans to merge with a company developing nuclear fusion technology, putting the president’s financial interests in competition with other energy companies over which his administration ...