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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

Evaluation of Lightweight Cryptography Algorithms of National Institute of Standards and Technology: Structural Design, Security Assessment and Implementation Performance

Abstract: In response to the growing demand for efficient and secure cryptographic solutions in resource-constrained environments, the National Institute of Standards and Technology (NIST) initiated a ...
IEEE

Problem-Solving Using Logic and Reasoning, Mathematics, Algorithms, Python and Generative AI

Abstract: Problem-solving is essential in various fields, including business, technology, and everyday life. It often involves a combination of experience, knowledge, intuition, and rational analysis.
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 ...
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 ...