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 ...

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 ...
IEEE

A Path Planning Framework for Robots Based on Improved Parallel Sampling RRT and Offset Guidance DWA

Abstract: The path planning is one of the critical technologies for robots to achieve the autonomous operation, enabling to quickly find a safe path in dynamic environments. However, relying on global ...
Business Wire

Parallel Bio Secures $21 Million in Series A to Advance Human-First Drug Discovery

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Parallel Bio, a biotech company pioneering human-first drug discovery, today announced it has raised $21 million Series A funding, led by AIX Ventures. The round ...
IEEE

RL-Based Hybrid CPU Scaling for Soft Deadline Constrained Tasks in Container Clouds

Abstract: Existing CPU scaling approaches have limitations that can lead to inefficient resource allocation and increased penalty costs for tasks with soft deadlines running in container clouds. First ...