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 ...
Electronics For You

Smart Bicycle Reads Rider Intent

A new control system uses machine learning to distinguish intentional turns from instability and provide stabilisation ...
CMSWire

HubSpot Acquires Warmly to Boost AI Agents

The CRM giant adds person-level intent data and AI go-to-market agents as it deepens its agentic platform push.
Tech Xplore

New smart bicycle can tell when riders mean to turn—and when they may be falling

Two-wheeled vehicles with conventional stability-control systems must lean to change direction, making it difficult for rider ...
IEEE

LLNet: An Intent-Driven Approach to Instructing Softwarized Network Devices Using a Small Language Model

Abstract: Traditional network management requires manual coding and expertise, making it challenging for non-specialists and experts to handle increasing devices and applications. In response, ...
IEEE

Mental Health Safety and Depression Detection in Social Media Text Data: A Classification Approach Based on a Deep Learning Model

Abstract: Social media expansion enables real-time mental health monitoring particularly for depression detection through its platforms. Traditional depression detection techniques, however, struggle ...