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 ...

What if we allow AI in not just classrooms but exam halls as well

Explore the need for clear AI guidelines in higher education to enhance student skills and address academic integrity ...
Security Boulevard

Cut your coding agent’s cost with Sonar Vortex

New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...

Where To Go To Read About Podcasting

Podcasting has multiple access points and communications tools for podcasters, users, advertisers, and interested parties.
IEEE

An Adaptive Sampling Method Based on Expected Improvement Function and Residual Gradient in PINNs

Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...
IEEE

Model Predictive Contouring Control With Barrier and Lyapunov Functions for Stable Path-Following in UAV Systems

Abstract: In this study, we propose a novel method that integrates Nonlinear Model Predictive Contour Control (NMPCC) with an Exponentially Stabilizing Control Lyapunov Function (ES-CLF) and ...