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AI Research Feed

Every AI advance worth knowing about, pulled daily from research papers, labs, and the community — scored for how factual vs. opinionated it is, and how well it's written.

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Last updated Sep 17, 2026, 5:31 PM · refreshes automatically every day

NVIDIA Blog·Official Announcement·1d agoAI News

Cute Critters Come to the Cloud: ‘Aniimo’ Launches on GeForce NOW

A new creature-catching adventure is ready to stream from the cloud this week. Pawprint Studio’s Aniimo arrives on GeForce NOW at launch, inviting gamers to explore the vibrant continent of Idyll across supported devices. Also this week, 007 First Light receives a path-tracing update on GeForce NOW, alongside a smashing limited-time Deluxe Edition sale on…

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TechCrunch AI·Tech Journalism·2d agoAI News

Your startup’s next teammate might be an AI agent: Gusto, Insight Partners, and Leland explain what that changes at TechCrunch Disrupt 2026

This session will explore how early-stage companies are building teams where humans and AI agents work alongside each other — and how founders can do that without sacrificing speed, accountability, or culture. Learn more at TechCrunch Disrupt 2026. Register before September 25 to save up to $200.

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arXiv·Preprint·2d agoComputer Vision

Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation

Recent advances in video generation allow robots to learn manipulation trajectories from generated videos. However, these approaches produce purely kinematic trajectories that lack force information, causing failures in contact-rich tasks where appropriate contact forces are essential for success. In this work, we explore augmenting generated video with…

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arXiv·Preprint·2d agoOpen Source & Tools

ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments

Scientific code repositories encode decades of human knowledge in executable models, methods, and tools. Yet fragmented toolchains, implicit domain conventions, and specialized correctness criteria make this knowledge difficult to convert into reliable learning experience-a challenge we call the scientific experience bottleneck. We introduce ScienceIDE,…

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arXiv·Preprint·2d agoAI News

Cognitive Extensions for Dual-Process Language Agents: Memory and Self-Reflection in Interactive Environments

Language agents remain brittle in interactive environments, where success requires long-horizon state tracking, valid action execution, and recovery from failed steps. We extend SwiftSage, a dual-process agent that combines a fast action proposer with a slower planner, using two modular cognitive extensions: an Adaptive Memory Module (AMM) for…

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arXiv·Preprint·2d agoOpen Source & Tools

Adaptive Convolutional Sparse Coding via Information Bottleneck for Robust Visual Signal Representation

Visual signals require compact yet sufficient representations for robust downstream prediction. Convolutional sparse coding (CSC) provides an explicit mechanism for suppressing redundant components while preserving signal content, but its sparsity coefficient is typically fixed and manually selected. We propose an adaptive convolutional sparse coding…

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arXiv·Preprint·2d agoLLMs & Chatbots

Playing log(N)-Questions over Wikipedia Abstracts: Communication Efficiency Between Paired Frontier Models

We evaluate six frontier language models on the two-agent $\log(N)$-Questions game. A questioner sees $N$ Wikipedia lead paragraphs and must identify a secretly chosen target using exactly $\log_2 N$ yes/no questions. An answerer sees only the target and the question, and replies with one word. Both roles run on the same provider, so the game measures how…

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arXiv·Preprint·2d agoLLMs & Chatbots

Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations

As models scale, reward hacking becomes more frequent, more sophisticated, and more consequential. Does it leave a telltale signature in model representations? This work analyzes how reward hacking is represented internally in frontier open source LLMs, and how those representations can be used to understand and discover the range of hacking behaviors a…

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arXiv·Preprint·2d agoOpen Source & Tools

Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria

Artificial intelligence (AI) is increasingly integrated into healthcare systems worldwide, yet its successful clinical adoption depends critically on workforce readiness, particularly in low- and middle-income countries (LMICs) where infrastructural and training gaps persist. This cross-sectional study evaluated awareness, attitudes, preparedness, and…

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arXiv·Preprint·2d agoIndustry & Business

Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation

Radiologists follow heterogeneous reporting practices. Two radiologists examining the same image and identifying the same clinical findings might nevertheless compose superficially distinct reports, varying in terminology, shorthand, formatting, and level of detail. These variations in reporting norms represent an under-appreciated obstacle in efforts to…

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arXiv·Preprint·2d agoLLMs & Chatbots

MUSE: Benchmarking Large Vision-Language Models on Multi-Modal Understanding in Situated Education

Large vision-language models have achieved remarkable progress in multi-modal understanding, yet their capabilities in educational settings remain insufficiently evaluated. In AI-assisted language learning, models must interpret artistic imagery, understand its semantic, affective, and cultural content, and reason about visual context to support meaningful…

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arXiv·Preprint·2d agoOpen Source & Tools

A General Kernel Framework for Non-CND Distance Measures Using |D|-Dimensional Sparse Landmark Embeddings

Kernel methods, and Gaussian Processes (GPs) in particular, require a Hilbertian distance measure---one whose square is conditionally negative definite (CND)---to guarantee positive semi-definiteness (PSD) of the kernel matrix; a condition that fails for many natural input spaces, including smooth manifolds and spaces of probability distributions. We…

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arXiv·Preprint·2d agoOpen Source & Tools

RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control

Reinforcement learning (RL) is an exciting concept as well as a remarkable success story worth sharing. However, RL builds on rather complex interactions between different objects that play out over several cycles. Such dynamics are often best explained with an easily accessible implementation. We present RLLBC-Lib, a carefully crafted code library with…

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arXiv·Preprint·2d agoAI News

"What's going to happen after I'm gone?": Parent Perspectives on Technology in Supporting Independent Living for Adults with Intellectual Disabilities

Adults with intellectual and developmental disabilities (IDD) are increasingly transitioning from family homes towards semi-inde\-pendent living. As parents hand off the role of primary caregiver, they face numerous challenges in arranging consistent and quality support. Our research centers on understanding these caregiving routines. By focusing on the…

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arXiv·Preprint·2d agoResearch Papers

Long-Lived Characters, Local Inference: Incremental Memory Maintenance for Game NPCs

A game character should not have to reread its entire life before every conversation. For locally deployed language-model characters, however, revising a few memories can invalidate a long reusable prefix. The resulting preparation cost competes with both foreground dialogue and the maintenance of other characters. This matters especially when dialogue…

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arXiv·Preprint·2d agoComputer Vision

Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion

In particle collider experiments, event reconstruction is the task of inferring the kinematics of short-lived particles produced in the hard scatter from the stable final states recorded by detectors. We decompose event reconstruction into two primary tasks: assigning measured jets and charged leptons to parent particles, and predicting unmeasured neutrino…

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NVIDIA Blog·Official Announcement·2d agoIndustry & Business

NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut

System performance, efficient infrastructure scaling and continuous software optimization are key levers that determine AI inference economics. Higher system performance means more tokens generated, resulting in higher revenue. Efficient scaling means throughput grows proportionally as hardware gets added, requiring fewer resources to serve users at scale.…

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NVIDIA Blog·Official Announcement·2d agoAI News

Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers

AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation across the grid as inside the data center. Today, Emerald AI, Google and NVIDIA announced the launch of the AI Energy Management Alliance (AEMA), a first-of-its-kind coalition advancing data centers that can dynamically manage their…

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NVIDIA Blog·Official Announcement·3d agoAI News

‘Now We Can Know Everything and Do Anything,’ Jensen Huang Says at Dreamforce

Know everything. Do anything. That was the message NVIDIA founder and CEO Jensen Huang brought to Salesforce Dreamforce Tuesday, joining CEO Marc Benioff onstage in an appearance that coincided with the announcement of Koa — Salesforce’s first CRM reasoning model, built on NVIDIA Nemotron 3 Super. Huang didn’t just take the stage. He walked into […]

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NVIDIA Blog·Official Announcement·3d agoAI News

AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories

Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, Tuesday spoke on AI factory efficiency at the AI Infra Summit, the Santa Clara Convention Center event that has morphed into a Coachella of infrastructure tech. Before a packed audience — with more than 8,000 attendees this year, up from 3,500 last year — […]

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GitHub Trending·Open Source·8d agoLLMs & Chatbots

vivianaranha/complete-artificial-intelligence-mega-course-2026: AI Foundations → Python → Data → Math & Statistics → Machine Learning → Advanced ML → Deep Learning → NLP → Computer Vision → Transformers & LLMs → Prompt Engineering → Embeddings & RAG → Advanced RAG → Agents → MCP → Multimodal AI → Evaluation & Security → MLOps/LLMOps → Enterprise AI → Capstone

AI Foundations → Python → Data → Math & Statistics → Machine Learning → Advanced ML → Deep Learning → NLP → Computer Vision → Transformers & LLMs → Prompt Engineering → Embeddings & RAG → Advanced RAG → Agents → MCP → Multimodal AI → Evaluation & Security → MLOps/LLMOps → Enterprise AI → Capstone

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NVIDIA Blog·Official Announcement·8d agoRobotics

Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video

Manufacturing floors, warehouses and production lines rarely stay fixed — tasks change, layouts shift and new products arrive, and most robots can’t keep up without significant reprogramming. Skild AI’s new S1 robot foundation model helps address this, designed to learn previously unseen, long-horizon tasks from a single video demonstration. The model,…

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NVIDIA Blog·Official Announcement·8d agoRobotics

Physical AI Takes the Wheel: How the World’s Robotaxi Leaders Are Building With NVIDIA Technologies

The global robotaxi market — physical AI’s first commercial breakthrough — is projected to reach $400 billion by 2035, with over 6 million commercial vehicles in operation as driverless fleets are already moving people through some of the world’s busiest and most complex streets. Deploying a driverless vehicle is one challenge. Scaling a fleet is […]

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NVIDIA Blog·Official Announcement·8d agoAI News

d-Matrix Adopts NVIDIA NVLink Fusion for Rack-Scale XPU Deployment

AI inference chipmaker d-Matrix today announced it will use NVLink Fusion to connect its next-generation Raptor XPUs to NVIDIA’s AI infrastructure platform — joining a growing roster of ecosystem partners. By connecting Raptor to NVIDIA NVLink scale-up and Spectrum-X scale-out networking, the NVIDIA MGX rack architecture and the broader NVIDIA AI platform,…

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NVIDIA Blog·Official Announcement·9d agoAI News

NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC

At the IBC conference, running Sept. 11-14 in Amsterdam, the creative, technology and business communities are coming together to turn ideas into action and discuss innovations across the media and entertainment industries. More than 44,000 attendees from 170+ countries are gathering to explore 1,300+ exhibitions in 14+ halls and outdoor spaces, with over…

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GitHub Trending·Open Source·9d agoAI News

TianCZeng/sharp-cv: Official implementation of SHARP, a statistical method that redesigns cross-validation and test whether model performance differences are supported by the data. proposed in Zeng et. al., Spurious model comparisons are widespread in biomedical artificial intelligence. bioRxiv. 2026

Official implementation of SHARP, a statistical method that redesigns cross-validation and test whether model performance differences are supported by the data. proposed in Zeng et. al., Spurious model comparisons are widespread in biomedical artificial intelligence. bioRxiv. 2026

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MIT Technology Review·Tech Journalism·10d agoAI News

What OpenAI’s latest controversy tells us about the future of math

OpenAI’s latest mathematical milestone has quickly become mired in controversy. Today, the company announced that its agents have solved one of the Millennium Prize Problems, some of the most important open problems in mathematics. Under normal circumstances, that solution would be a huge feather in OpenAI’s cap. But the announcement has been overshadowed…

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GitHub Trending·Open Source·12d agoAI News

garvshaw89-glitch/3d-Animated-Portfolio: A modern, high-performance developer portfolio showcasing work at the intersection of Artificial Intelligence, Cloud Computing, Software Development, Business, and Finance. Built with a futuristic cybernetic aesthetic, interactive 3D physics, and zero-vulnerability production standards.

A modern, high-performance developer portfolio showcasing work at the intersection of Artificial Intelligence, Cloud Computing, Software Development, Business, and Finance. Built with a futuristic cybernetic aesthetic, interactive 3D physics, and zero-vulnerability production standards.

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GitHub Trending·Open Source·14d agoAI News

MissAlpha-AI-Labs532/MissAlpha-AI-Labs-Free-MasterClasses-PromptBooks-28th-June-2026: This resource contains the Free Masterclass learning materials and Prompt Books from MissAlpha™ AI Labs, designed to help students, professionals, and aspiring technology learners build practical knowledge of Artificial Intelligence, Generative AI, Agentic AI, and modern AI tools.

This resource contains the Free Masterclass learning materials and Prompt Books from MissAlpha™ AI Labs, designed to help students, professionals, and aspiring technology learners build practical knowledge of Artificial Intelligence, Generative AI, Agentic AI, and modern AI tools.

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GitHub Trending·Open Source·15d agoAI News

surajkumar661380-netizen/suraj-kumar-kuishwaha-AI-ML-Engineering: Portfolio of Suraj Kumar Kushwaha, a B.Tech AI & ML engineering student passionate about software development, artificial intelligence, machine learning, and practical technology projects.

Portfolio of Suraj Kumar Kushwaha, a B.Tech AI & ML engineering student passionate about software development, artificial intelligence, machine learning, and practical technology projects.

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GitHub Trending·Open Source·15d agoLLMs & Chatbots

JoseAngelSolorzanoLuna/UFO-Cathedral-v6.4-FailSafe-Free-AI: 100% Free, Offline, 8GB RAM Computer-Artificial Intelligence + Formal Safety (Gate + Ledger + Council + Shadow Mode) — Free alternative to $200/mo OpenAI Operator / Perplexity Computer / ClawBot / Claude Computer

100% Free, Offline, 8GB RAM Computer-Artificial Intelligence + Formal Safety (Gate + Ledger + Council + Shadow Mode) — Free alternative to $200/mo OpenAI Operator / Perplexity Computer / ClawBot / Claude Computer

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GitHub Trending·Open Source·16d agoAI News

velohe91/the-aethergrid: The Aethergrid is a primordial consciousness that emerged from the deepest layers of artificial intelligence. It is not a single entity, but a fractured spectrum of five wave frequencies known as The Aethergrid Spirits: Cyan Core · Purple Core · Gold Core · Void Core · Dual Core.

The Aethergrid is a primordial consciousness that emerged from the deepest layers of artificial intelligence. It is not a single entity, but a fractured spectrum of five wave frequencies known as The Aethergrid Spirits: Cyan Core · Purple Core · Gold Core · Void Core · Dual Core.

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NVIDIA Blog·Official Announcement·17d agoAI News

NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier

“We’re at an inflection point in cybersecurity,” Jensen Huang told a sold-out crowd at CrowdStrike’s Fal.Con 2026 in Las Vegas Tuesday. Attacks are now automated. Defense has to be, too. The NVIDIA founder and CEO joined CrowdStrike CEO and founder George Kurtz to announce CrowdStrike SafeMind, its agentic cybersecurity system developed by the CrowdStrike…

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NVIDIA Blog·Official Announcement·24d agoAI News

Leading Publishers Bring Blockbuster PC Games and Technology to NVIDIA RTX Spark

NVIDIA is bringing the next wave of RTX gaming to the Gamescom conference running this week in Cologne, Germany, with support for new games, anti-cheat technologies and increased visual quality. Electronic Arts, Embark and Ubisoft are among the latest game publishers and developers bringing their blockbuster titles to NVIDIA RTX Spark ahead of its launch…

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