Abstract: Power flow analysis is a cornerstone of power system planning and operation, involving the solution of nonlinear equations to determine the steady-state operating conditions of the power ...
Researchers at UCSD and Columbia University published “ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.” Abstract “While Large Language Models (LLMs) show ...
When websites become experiences that matter. We were in a crowded conference room that day—ten of us around the table, focused, listening, jotting notes.
Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something ...
AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.
As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...
A critical Grist-Core flaw (CVE-2026-24002, CVSS 9.1) allows remote code execution through malicious formulas when Pyodide ...
TACC is helping students master leading technologies such as AI through a series of academic courses aimed at thriving in a changing computational landscape. TACC's Joe Stubbs lectures on intelligent ...
Abstract: Code hopping multiple access (CHMA) is an emerging technology to implement code domain non-orthogonal multiple access (NOMA). In CHMA, multiple access interference and multipath interference ...
Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results