Abstract: In this work, an effective and efficient optimization strategy for 3-D inductors based on through-silicon via (TSV) is proposed. This strategy is based on the nondominated sorting genetic ...
Atmospheric aerosols influence climate forcing, air quality, visibility, and human health, but their properties vary widely across space and time. Satellite instruments equipped with multi-angle and ...
Interoperable Intelligence Inc. offers Corpus Router for enterprises running production AI at scale. Built on Corpus OS, Corpus Router delivers intelligent multi-model and multi-framework routing, ...
3d
Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
North York, ON, United States, February 17th, 2026, FinanceWireUpdated Algorithm Demonstrates 77.3% Win Rate and Superior ...
Welcome to the artifact repository of OSDI'25 accepted paper: Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD! This repository contains the ...
In trading, discussions often center on strategies, indicators, or market predictions. Yet behind the numbers lies a quieter factor that often determines whether a system can endure: position sizing.
This library provides many important arithmetic methods(e.g. Shift, Shuffle, NarrowSaturate) and constants for vector types, making it easier for you to write cross-platform SIMD code. It takes full ...
A new technical paper titled “Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration” was published by researchers at Purdue University and ...
Gary Illyes from Google said that despite what people are saying, he did not confirm Google uses MUVERA - Multi-Vector Retrieval via Fixed Dimensional Encodings. He said that Google might use ...
Abstract: Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization ...
Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...
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