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Even the best AI models can’t reliably do simple math

A new study digs into why modern AI models stumble over multi-digit multiplication and what kind of training finally makes ...
IEEE

Asynchronous Distributed Nonsmooth Composite Optimization via Computation-Efficient Primal-Dual Proximal Algorithms

Abstract: This paper focuses on a distributed nonsmooth composite optimization problem over a multiagent networked system, in which each agent is equipped with a local Lipschitz-differentiable ...
GitHub

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...
IEEE

Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects

Abstract: With the increasing penetration of renewable energy and flexible loads in smart grids, a more complicated power system with high uncertainty is gradually formed, which brings about great ...
manilastandard

Ateneo, Manila Observatory develop algorithm to track elusive rain-triggering ‘shear lines’

The HIMAWARI8 satellite image for Jan. 16, 2017, shows cold cloud tops and deep convection attributed to a shear line, indicated by the white dotted line. Shear lines account for up to 20 percent of ...
Business Standard

Instagram's new 'Your Algorithm' tool lets users personalise Reels feed

Instagram is introducing a new feature that gives users more control over the Reels suggestions in their feed. According to Instagram’s blog, the tool is called “Your Algorithm,” which lets users see ...