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This paper makes the physical case that biological and artificial civilizations diverge on cosmic timescales — not because of conflict or capability differences, but because of thermodynamics. It introduces the biological expansion imperative: biological complexity requires continuous energy throughput, which forces ci...
The increasing complexity, ageing, and operational demands of urban infrastructure have created a need for intelligent approaches to continuous monitoring and predictive maintenance. Digital Twins (DTs) have emerged as a promising technology for creating dynamic virtual representations of physical infrastructure, while...
Al-Bajrawiya - Solving the Ohaj Talisman Habib Allah Abkar Mohamed Ahmed - In Collaboration with Meta AI1. Linguistic Key +2011080505785 Ahabialla14@gmail.com Kassala: Kassala is in eastern Sudan neighborhood with Eretria is our topic this day. 1. The (Ohaj) Code is OOOhaaaaj famous word in Kassla: Ohaj = Au-Had. In Be...
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Abstract The impact of new technologies such as artificial intelligence, cloud computing, mobile systems and technologies of e-resources creates a significant need for change in the university library in a digital way. With these technologies, libraries have changed their focus from student learning and user engagement...
“Shift left” moved security activities toward the earliest artifact of the software development lifecycle (SDLC): source code. Autonomous coding agents invalidate the premise that code is that earliest artifact. An agent equipped with a shell, a package manager, credentials, and tool connectors performs security-releva...
【目的】 跨城市路网形态比较常依赖开放地理空间数据(OSM)与主成分分析(PCA)构建低维表征,但既有研究多预设离散分类范式,且普遍忽视数据质量异质性、空间尺度推移与特征共线性对主成分轴语义的构造性干扰。本文旨在检验跨城市路网形态主成分表征的前提假设是否成立,对数据适用性、空间尺度与特征共线性等关键测量条件实施系统审计,评估低维形态...
CP-AnemiC Trustworthy AI Reproducibility Package v1.0.0 Initial reproducibility release accompanying the manuscript: "Case Study on Conjunctival Anemia Screening in Medical Images: An Explainable AI-Based Decision Support System." This release includes: Analysis and evaluation scripts Cleaned Jupyter notebooks Derived...
Multi-agent work often outlives individual sessions and processes. A successor must identify not only an output but also the current task and attempt, the results submitted and accepted, and the evidence and authority for the next change. This paper systematically describes and studies FCoP 4.0, a protocol that express...
Abstract The impact of new technologies such as artificial intelligence, cloud computing, mobile systems and technologies of e-resources creates a significant need for change in the university library in a digital way. With these technologies, libraries have changed their focus from student learning and user engagement...
Institutional Intelligence, Living Experiments & Traceable Accountability The Report Card of 500 Institutions: Why Modern Systems Have Files but No Memory Publication Number: #143Corpus: Longitudinal Institutional Intelligence Research Corpus (LIIRC)Resource Type: Publication / Working Paper / Institutional BenchmarkLi...
This work presents a theoretical architecture for continually adapting AI systems organized around three distinct timescales: (1) fast transformer key-value context for immediate interaction, (2) medium-term persistent recurrent memory with decaying importance and consolidation, and (3) slow, controlled parameter adapt...
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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