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.

How do AI coding agents work? We look under the hood.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
IEEE

A Multiscale Recalibration Attention Network With Adaptive Grouped Convolution for Bearing Fault Diagnosis via Transfer Learning

Abstract: Addressing the critical challenges of limited labeled data and operational variability in bearing fault diagnosis, a multiscale recalibration attention network (MRAN) integrated with ...
Edhat

AI Helps Explain How Covert Attention Works And Uncovers New Neuron Types

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — ...
IEEE

V-DCRNN: Virtual Network-Based Diffusion Convolutional Recurrent Neural Network for Estimating Unobserved Traffic Data

Abstract: Several studies have analyzed traffic patterns using Vehicle Detector (VD) and Global Positioning System (GPS) data. VD records the speed of vehicles passing through detectors, GPS data ...