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Chips that run on thermal noise could cut AI image generation energy use 10,000 times

Thermodynamic computing crossed a credibility threshold this week as peer-reviewed papers from Lawrence Berkeley National ...

Quantum X Labs Validates Continuous-Data Quantum Sampling Workflow and Achieves Significant GPU Acceleration with NVIDIA CUDA-Q

Quantum X Labs Inc. (the "Company") (NASDAQ: QXL) today announced that the CliniQuantum operation, has successfully validated ...
techtimes

Cognition SWE-1.7: RL on Top of RL Yields Near-Frontier Code at Low Cost

Cognition launched SWE-1.7 on Wednesday, the most capable model it has trained, and with it made a specific claim about reinforcement learning that the broader AI research community will be evaluating ...

Kunal Gaurav Is Building the Risk Architecture Prediction-Market Lending Still Lacks

The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, proprietary impact models, first-passage analysis, and optimal-transport ...
IEEE

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

Abstract: The sample selection approach is popular in learning with noisy labels. The state-of-the-art methods train two deep networks simultaneously for sample selection, which aims to employ their ...