Skip to content

Category

generative ai

2,222 papers

#artificial intelligence Open access Oct 2026

The landscape of gateway STEM student success and teaching practices at R1 institutions in the United States post-COVID and post-AI

Gateway science, technology, engineering, and mathematics (STEM) courses have historically been taught primarily with didactic lectures and high-stakes examinations which can contribute to poor student outcomes. Much has changed in higher education in recent years after two historic disruptions: the COVID-19 pandemic a...

Justin Franklin Shaffer · 0 citations
#generative ai Open access Oct 2026

Two Algebraic Thresholds for Relaxations of Stable Metric TSP

Bilu–Linial stability asks whether an optimal solution remains uniquely optimal after every independent multiplicative increase of the input costs by a prescribed factor. For symmetric metric TSP, every 1.8-stable instance is solvable in polynomial time, and both the subtour relaxation and the weaker degree-only cycle-...

Sungsoo Na · 0 citations
#generative ai Open access Oct 2026

Kognitive Auslagerung oder kognitive Schuld? (Cognitive Offloading vs. Debt)

Abstract (English) Background: Kosmyna et al. (2025) reported differences in directed EEG functional connectivity during essay writing with an LLM, a search engine, or no external tool. These measurements are not alpha/beta power or a general measure of cognitive decline. Objective: This ongoing narrative research exam...

Lukas Geiger · 0 citations
#generative ai Open access Oct 2026

ILEDBV consistency-testing model: thermodynamic, stoichiometric, carbon and economic constraints on an integrated SWRO-brine valorization architecture

This version reverses the conclusions of the previous one. Peer review identified two errors in the earlier analysis; correcting them removes both the claimed energy advantage over conventional SWRO and the favorable levelized cost. The brine concentrator as originally specified is thermodynamically inadmissible. The r...

Leon Sandler · 0 citations
#artificial intelligence Open access Oct 2026

PREreview of "When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23128096. Summary This paper studies a problem that production ML teams feel but the literature mostly ignores: drift detectors are evaluated on detection accuracy under synthetic,...

Karmendra Pandey · 0 citations
#generative ai Open access Oct 2026

Consistency Testing of an Integrated SWRO-Brine Valorization Architecture: Alkalinity as the Binding Constraint

This version reverses the conclusions of the previous one. Peer review identified two errors in the earlier analysis; correcting them removes both the claimed energy advantage over conventional SWRO and the favorable levelized cost. The brine concentrator as originally specified is thermodynamically inadmissible. The r...

Leon Sandler · 0 citations
#artificial intelligence Review Open access Oct 2026

INTELLIGENT CAD/CAM INTEGRATION FOR ADAPTIVE MANUFACTURING: A SYSTEMATIC REVIEW OF AI AND IOT FRAMEWORKS IN INDUSTRY 4.0

The union of Artificial Intelligence and the Internet of Things (IoT) is transforming the way Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems are used in the Industry 4.0 production process. Based on the PRISMA 2020 reporting framework (Page et al., 2021), this report is a systematic literatu...

Madiba Krista Kundai, Madzimure Tatenda, Mafukidze Liberty et al. · 0 citations
#artificial intelligence Open access Oct 2026

PREreview of "When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23128096. Summary This paper studies a problem that production ML teams feel but the literature mostly ignores: drift detectors are evaluated on detection accuracy under synthetic,...

Karmendra Pandey · 0 citations
#generative ai Open access Oct 2026

A generative AI decision-making tool for interactive greenspace design using a pollinator habitat indicator

Generative artificial intelligence (AI) is increasingly used in landscape architecture to accelerate design development and enhance stakeholder engagement. This study presents a new landscape concept design tool to support collaborative greenspace problem-solving by integrating rapid scenario generation with a Pollinat...

Corey Dawson, Cody Kupferschmidt, Paul Manning · 0 citations
#generative ai Open access Oct 2026

Consistency Testing of an Integrated SWRO-Brine Valorization Architecture: Alkalinity as the Binding Constraint

This version reverses the conclusions of the previous one. Peer review identified two errors in the earlier analysis; correcting them removes both the claimed energy advantage over conventional SWRO and the favorable levelized cost. The brine concentrator as originally specified is thermodynamically inadmissible. The r...

Leon Sandler · 0 citations
#generative ai Open access Oct 2026

ILEDBV consistency-testing model: thermodynamic, stoichiometric, carbon and economic constraints on an integrated SWRO-brine valorization architecture

This version reverses the conclusions of the previous one. Peer review identified two errors in the earlier analysis; correcting them removes both the claimed energy advantage over conventional SWRO and the favorable levelized cost. The brine concentrator as originally specified is thermodynamically inadmissible. The r...

Leon Sandler · 0 citations
#large language models Open access Oct 2026

Pegi1727/Decolonizing-the-Algorithm-DAR-AI-Assisted-L2-Academic-Writing: Decolonizing the Algorithm (DAR) in AI-Assisted L2 Academic Writing: Epistemic Agency, Authorial Voice, and Pre–Post Research Data

Decolonizing the Algorithm (DAR) in AI-Assisted L2 Academic Writing: Epistemic Agency, Authorial Voice, and Pre–Post Research Data Description This research project investigates the Decolonizing the Algorithm (DAR) framework, a critical pedagogical approach designed to support negotiated epistemic agency and authorial...

Pegah Merrikhi · 0 citations

From tech blogs

See all →
Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

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.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.