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2,278 papers
The Cowenhoven Project (cowenhoven.org) is a multi-part digital humanities project combining archival research, genealogical scholarship, and data science in an effort to recover the names of people enslaved in New York and New Jersey by the Van Kouwenhoven-Conover family. In this presentation, I explain how I was able...
The integration of blood-based biomarkers and artificial intelligence (AI) is revolutionizing the diagnostic landscape of Alzheimer’s disease (AD). In this paper, we synthesize recent advancements in the application of machine learning (ML) on blood biomarker analysis, evaluating their diagnostic efficacy and clinical...
The neural interface, coupled with wearable artificial intelligence (AI) and cognitive computing, is reshaping the way human beings interact with digital ecosystems, especially in immersive metaverse worlds. This chapter explains that cognitive and neural interfaces may be an epochal nexus among the human brain, physio...
Drought stress at the reproductive-stage is a major constraint limiting rice productivity in rainfed ecosystems. The present study evaluated 450 rice (Oryza sativa L.) genotypes along with 8 checks under normal and reproductive-stage drought stress conditions during kharif 2020 at Bihar Agricultural University, Sabour,...
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This study investigates the links among explainable AI capability, real time financial analytics capability, and financial decision quality within smart organizations while assessing how AI governance maturity moderates those links. Drawing on organizational information processing theory and dynamic capabilities theory...
Overall, AI can extend FT-IR from qualitative fingerprinting to quantitative and predictive spectral sensing, provided that future studies emphasize method-centered validation, reproducibility, transferability, and chemically meaningful explanation rather than relying solely on classification accuracy and regression er...
**A field-level audit of one month of retraction deposits (v2)** Author: Trafalgar Law (independent). Data pulled from the public Crossref REST API on 2026-09-23. Sample and reproduction query included. This is a metadata audit, not an accusation against any publisher or author. ## Why On 2026-09-19 the record for a fi...
GiriNeoSeizure™ CDSS is a single-file, offline, interactive clinical decision-support system for neonatal seizures. It is part of the NeonatAIlogy™ series in the GAIR Innovation Registry and is governed by the GIRISH™ Prompting Architecture. The tool turns the 2023 ILAE Task Force guideline, Cochrane evidence on antise...
[0.1.0-beta.7] — 2026-09-23 Largest release so far: 102 commits, 218 files changed, +21,760 / −149. Headline features are full UTF-8/RTL/Arabic shaping support, a theme system with 10 built-in themes, an optional-plugin system, a Lua test suite, Docker images, and a complete documentation website. The beta cycle contin...
An open specification of conditions of admission and participation for people who test, evaluate and raise AI models. It covers declaration instead of prohibition of AI tools, a field for observations that cannot yet be named, deferred reports on what came of a decision, payment for agreed participation including negat...
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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