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 ...
The Manila Times

Cequence Platform 9.0 Puts an AI Security Expert in Every Team's Hands

Platform 9.0 lets any team, AI assistant, or agent query, investigate, and act on API security data directly; comes audit-ready across 25 global compliance frameworks ...
IEEE

Optimizing Query-by-Example Spoken Term Detection with Audio-to-Token Sequence Clustering and Query-Guided Retrieval

Abstract: Query-by-Example Spoken Term Detection (QbE-STD) retrieves relevant audio files corresponding to a spoken query, without relying on explicit word-level textual transcriptions. In ...
How-To Geek on MSN

Every web developer needs to try these 3 open-source TUIs before starting their next project

Semi-automate multi-protocol API calls, construct jq queries at the speed of light, or transform strings to and from any ...
IEEE

GAME-RL: Generating Adversarial Malware Examples Against API Call Based Detection via Reinforcement Learning

Abstract: The adversarial example presents new security threats to trustworthy detection systems. In the context of evading dynamic detection based on API call sequences, a practical approach involves ...