Nature

A Chinese AI model taught itself basic physics — what discoveries could it make?

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.

New software toolbox enables brain-like models to learn directly from data

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
Nature

'Tiny' AI model beats massive LLMs at logic test

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...

Is the AI Bubble Real, or Is Relentless Learning Quietly Winning Today?

Is the AI bubble bursting or just noise? Explore continual learning, nested learning, and introspection, plus fixes for ...

Meta’s SPICE framework pushes AI toward self-learning without human supervision

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data ...
IEEE

An Ensemble Deep Learning Model for Vehicular Engine Health Prediction

Abstract: Predictive maintenance has gained importance across various industries, including the automotive sector. It is very challenging to detect vehicle failures in advance due to the intricate ...
Journal of Medical Internet Research

Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study

Conclusions: Our study developed model IBE to predict the incidence of mumps in Yunnan province, offering a potential tool for early detection of mumps outbreaks. The performance of model IBE ...

Phase diagram map of ferroelectric properties unlocked with AI in seconds

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...
IEEE

Model Self-Supervised Federated Learning for Heterogeneous Fingerprint Localization

Abstract: Fingerprint localization is emerging as one of the most important indoor positioning methods, especially with the development of deep learning (DL). To avoid potential privacy leakage of ...