Tech Times

AI Chart Understanding Breakthrough: MIT-IBM Dataset Lets Small Models Beat GPT-4o

MIT and IBM released ChartNet, a 1.7-million-sample synthetic training dataset that lets compact open-source vision-language ...
IEEE

Group-Aware Robot Navigation in Crowds Using Spatio-Temporal Graph Attention Network With Deep Reinforcement Learning

Abstract: Robots are becoming essential in human environments, requiring them to behave in a socially compliant manner. Although previous learning-based methods have shown potential in social ...
Semiconductor Engineering

Using Graph Attention for Virtual Metrology in Semiconductor Manufacturing (Intel Foundry, ASU)

Researchers from Arizona State University and Intel Foundry have published “Graph Attention-Based Virtual Metrology for Film ...
Semiconductor Engineering

The Sub-2nm Paradox

Reducing variation in manufacturing, monitoring behavior over time, and targeting specific workloads can have a big impact on ...