DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
Journal of Medical Internet Research

Laypeople’s Use of and Attitudes Toward Large Language Models and Search Engines for Health Queries: Survey Study

Search engines transformed health information access, and LLMs offer a new avenue for answering laypeople’s questions. Objective: We aimed to compare the frequency of use and attitudes toward LLMs and ...
IEEE

Sensorless Speed Control of Induction Motor Drives Using Reinforcement Learning and Self-Tuning Simplified Fuzzy Logic Controller

Abstract: Fuzzy logic controls (FLCs) have emerged as a promising solution for speed regulation in induction motor (IM) drives, offering adaptability to non-linearities, parameter variations, and ...