With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...
Abstract: The rapid development of Large Language Model (LLM) agents has facilitated the advancement of multi-agent systems, where cognitive knowledge sharing is crucial for the execution of complex ...
Abstract: The exponential increase of stream data in the big data era poses critical challenges for SQL queries on compressed streams. These challenges are exacerbated by diverse computational demands ...
Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...
Nvidia Corp. today announced a new flagship graphics processing unit, Rubin, that provides five times the inference performance of Blackwell. The GPU made its debut at CES alongside five other data ...
1 College of Electromechanical Engineering, Qingdao University of Science and Technology, Shandong Province, China 2 Shandong Gaomi Technician Institute, Shandong Province, China For the low ...
You know how much it can get in the way of ordinary living if you've ever had the pins-and-needles feeling in your feet or the dull, nagging soreness that makes even short walks uncomfortable. It's ...
On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...
ABSTRACT: This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and ...
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