Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Abstract: Multi-scalar multiplication (MSM) is the primary computational bottleneck in zero-knowledge proof protocols. To address this, we introduce FAMA, an FPGA-oriented MSM accelerator developed ...
Abstract: This paper aims to provide a comparative analysis of low-power design methods for the implementation of the Arithmetic Logical Unit using Fin- Field Effective Transistor. The study evaluates ...
Abstract: This paper focuses on the multi-objective resource allocation problem in multi-agent systems, where the objective is to find an optimal allocation policy. To solve this problem, we propose ...
Abstract: At terahertz (THz) band, the beam tunnel size becomes very small and requires an in-depth analysis of electron beam focusing behavior for a THz traveling wave tube (TWT). A nonlaminar beam ...
Abstract: Glass manufacturing processes often yield complex defects such as bubbles, stones, and scratches. While machine vision systems powered by deep learning offer effective defect detection, real ...
Abstract: SNN deployment faces a dilemma: rate codes are power-hungry while temporal codes lack noise resilience. This paper proposes an SNN algorithm-hardware co-design, which uses sparse coding and ...
More than 800 U.S. TikTok users shared their data with The Washington Post. We used it to find out why some people become power users, spending hours per day scrolling. Each circle in the chart ...
🛍️ Amazon Big Spring Sale: 100+ editor-approved deals worth buying right now 🛍️ By Andrew Paul Published Mar 27, 2026 2:43 PM EDT Add Popular Science (opens in a new tab) Adding us as a Preferred ...
Abstract: Wind turbine blade design is a complex multi-objective optimization challenge, requiring a balance between aerodynamic efficiency, structural integrity, and cost minimization. This study ...
If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
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