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 ...
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 ...
IEEE

Autonomous Task Offloading of Vehicular Edge Computing With Parallel Computation Queues

Abstract: This work considers a parallel task execution strategy in vehicular edge computing (VEC) networks, where edge servers are deployed along the roadside to process offloaded computational tasks ...