XPENG-Peking University Collaborative Research Accepted by AAAI 2026: Introducing a Novel Visual Token Pruning Framework for Autonomous Driving

XPENG, in collaboration with Peking University, has had its paper "FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning" accepted by AAAI 2026, one of the ...
Morning Overview on MSN

A quantum trick is shrinking bloated AI models fast

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...
Semiconductor Engineering

Small Vs. Large Language Models

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

How Artificial Intelligence Interacts with Human Language by Integrating Large Language Models

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...