InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

The Karpathy Loop: Former OpenAI researcher’s autonomous agents ran 700 experiments in 2 days and gave a glimpse of where AI is heading

Karpathy's 'autoresearch' agent did not improve its own code, but it points towards systems that could as well as towards way ...
IEEE

Automatic Inductive Invariant Generation for Scalable Dataflow Circuit Verification

Abstract: Formal verification via BDD-based reachability analysis has been shown to improve the quality of dataflow circuits produced via high-level synthesis (HLS): it can restrict the generality of ...
IEEE

Learning Invariant Representation Via Contrastive Feature Alignment for Clutter Robust SAR ATR

Abstract: The deep neural networks (DNNs) have freed the synthetic aperture radar automatic target recognition (SAR ATR) from expertise-based feature designing and demonstrated superiority over ...