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 ...

One Basic Excel Formula Generates Auto-Updating Visual Dashboards

Discover how to replace traditional Excel chart objects with clean, customizable in-cell visualizations using a single ...
IEEE

1+1>2: A Dual-Function Defense Framework for Adversarial Example Mitigation

Abstract: Current state-of-the-art plug-and-play countermeasures for mitigating adversarial examples (i.e., purification and detection) exhibit several fatal limitations, impeding their deployment in ...
IEEE

Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion

Abstract: The Chamfer Distance (CD) is a cornerstone objective function for point cloud completion, yet its inherent symmetric weighting mechanism limits the quality of the generated results. By ...