AI models like ChatGPT and Claude overestimate how smart humans really are

A new study suggests AI models like ChatGPT and Claude consistently overestimate how rational humans really are, leading them ...
The Brighterside of News on MSN

AI models tested in a classic economics game reveal major differences from human thinking

We are living at a time when large language models increasingly make choices once reserved for people. From writing emails to ...
CNET

How Smart Do We Want AI to Be? World Models May Understand Things Better Than We Do

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
American Council on Science and HealthOpinion

The Science (and Pseudoscience) of Everyday Life

Everyday life is full of small behaviors we treat as moral choices, scientific truths, or acts of civic virtue—often without ...
IEEE

Supply Chain Stress Testing for Tariff Shocks and Trade Conflicts: Methods, Models, and Reciprocal Influence of Operations and Economics

Abstract: This article is induced by novel decision-making settings entailed in supply chains in the wake of the global tariff crisis in spring 2025. Their context and scope differ from traditional ...

Scientists Built a Working Brain—And Now the ‘Possibilities Are Endless,’ a Scientist Says

Even consciousness could reveal its secrets someday with this realistic simulation, researchers hope. It will not only ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
IEEE

Advanced Deep Learning Models for Real-Time Image Recognition: Bridging the Gap between Accuracy and Speed

Abstract: Cutting-edge deep learning algorithms have improved image recognition. This study aims to balance real-time image identification speed and accuracy. Analysis of deep-learning architectures ...