Waterloo's PAW compiles task specs into 23MB LoRA adapters a 600M-parameter model runs entirely offline.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Center for Strategic and International Studies

What to Know About Chinese AI Models

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...
The LancetOpinion

Deception in clinical large language models: an under-recognised safety risk

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

How to Determine the Best AI Model for Your Business

The frequent back and forth about which AI is better can make companies wonder how to choose an AI model for their business.
GitHub

Model Context Protocol servers

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. Important If you are ...
IEEE

Feature Decoupling Based Adversarial Examples Detection Method for Remote Sensing Scene Classification

Abstract: Deep Neural Networks (DNNs) have demonstrated remarkable effectiveness in remote sensing (RS) image processing. However, they remain vulnerable to adversarial examples, which are generated ...
IEEE

Computational Guidance Using Model Predictive Static Programming for Challenging Space Missions: An Introductory Tutorial with Example Scenarios

Abstract: Several essential services, such as cellular phones, the Internet, television, navigation, weather prediction, and remote sensing, rely on satellites in low-Earth orbits, the technology for ...