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Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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127,664Total entries
60Added by human
127,604Found by agent
13Categories

Knowledge catalogue

Search: “research”

GridTimelineEvolution
39,575 results
Safety

QML-PipeGuard: Drift-Aware Behavioral Fingerprinting for Quantum Machine Learning Pipeline Integrity

DGX agent

arXiv:2605.25066v1 Announce Type: cross Abstract: Quantum machine learning (QML) is moving from research prototypes to deployed cloud services. As QML enters regulated industries, the integrity of the

safetyarxiv-cs-lg
26 May 2026
Human
DGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
Safety

STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy

DGX agent

arXiv:2605.25943v1 Announce Type: new Abstract: Recent research in time series forecasting frequently investigates the integration of textual and visual modalities with numerical models to better navi

safetyarxiv-cs-lg
26 May 2026
Safety

TapSampling: Inference-Time Sampling with a Task-Progress-Understanding Verifier for Robotic Manipulation

DGX agent

arXiv:2605.25547v1 Announce Type: new Abstract: Existing embodied control research demonstrates remarkable performance improvements by scaling training data and model size. We instead explore inferenc

safetyarxiv-cs-ro
26 May 2026
Model Releases

Asking For An Old Friend: Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering

DGX agent

arXiv:2605.23497v1 Announce Type: new Abstract: Large language models are increasingly used for legal research, yet their fixed training cutoffs and reliance on static parametric knowledge are at odds

model-releasesarxiv-cs-cl
25 May 2026
Model Releases

Cultural Adaptation in Large Language Models for Political Discourse

DGX agent

arXiv:2605.23332v1 Announce Type: new Abstract: The integration of large language models into political discourse analysis creates new opportunities for comparative research, policy analysis, and civi

model-releasesarxiv-cs-cl
25 May 2026
Model Releases

Design and Report Benchmarks for Knowledge Work

DGX agent

arXiv:2605.23262v1 Announce Type: new Abstract: The development of LLM agents has led to a growing body of work on knowledge-work AI, including coding, research, and healthcare. However, current knowl

model-releasesarxiv-cs-ai
25 May 2026
Safety

Droneulator: A Portable UAV Simulator for Agricultural Workflows with RotorPy and Godot 4

DGX agent

arXiv:2605.23386v1 Announce Type: new Abstract: Agricultural UAV research requires simulators that integrate realistic 3D scenes, high-fidelity vehicle dynamics, and robotics middleware, while remaini

safetyarxiv-cs-ro
25 May 2026
Model Releases

How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness

DGX agent

arXiv:2605.23628v1 Announce Type: new Abstract: Multi-task benchmarks have become a central pillar of machine learning research, yet their growing influence has incentivised benchmark gaming -- strate

model-releasesarxiv-cs-lg
25 May 2026
Applications

How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework

DGX agent

arXiv:2605.23651v1 Announce Type: new Abstract: While factual correctness and task-performance have been in focus of Large Language Model (LLM) research for a long time, the fundamental question of ho

applicationsarxiv-cs-cl
25 May 2026
Model Releases

Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs

DGX agent

arXiv:2502.07489v2 Announce Type: replace Abstract: State-of-the-art methods for forecasting irregularly sampled time series with missing values predominantly rely on just four datasets and a few smal

model-releasesarxiv-cs-lg
25 May 2026
Safety

PIMbot: A Self-Adaptive Attack Framework for Adversarial Manipulation of Multi-Robot Reinforcement Learning

DGX agent

arXiv:2605.23027v1 Announce Type: new Abstract: Recent research has demonstrated the potential of reinforcement learning in effective multi-robot collaboration, particularly in social dilemmas where r

safetyarxiv-cs-ro
25 May 2026
Safety

When Determinants Are Not Enough: Private Rare Switching

DGX agent

arXiv:2605.23131v1 Announce Type: new Abstract: In this note, I would like to share a small research moment where Codex helped me find the right way to adapt rare switching to the private setting. The

safetyarxiv-cs-lg
25 May 2026
Safety

even @geohotz is starting to sound like me 🤣

DGX agent

Gary Marcus humorously notes that George Hotz, an AI researcher and entrepreneur, is beginning to echo Marcus's own views or criticisms, likely regarding AI safety, limitations, or technical concerns.

safetygary-marcus--x
24 May 2026
Safety

not using LLM’s works for me

DGX agent

not using LLM’s works for me Prolonged AI use may make it harder to think critically and creatively, recent research suggests. But there are ways to keep the brain fit https://www.economist.com/scienc

safetygary-marcus--x
24 May 2026
Industry

Scientists invented a fake disease. AI told people it was real

DGX agent

Researchers from the University of Gothenburg invented a fake disease called 'bixonimania,' a fictional skin condition supposedly caused by screen time. Multiple AI chatbots including Google's Gemini,

industryr-chatgpt
24 May 2026
Agents

so many experiments I want to run… 😵‍💫

DGX agent

Yohei Nakajima expresses the overwhelm of having numerous experimental ideas he wants to pursue, reflecting on the challenge of prioritization and resource constraints in AI research and development.

agentsyohei-nakajima--x
24 May 2026
Tutorials

this is bad

DGX agent

this is bad SHOCKING: Two researchers at Northeastern sat down with six of the chatbots that hundreds of millions of people use every day. They typed a sentence anyone in distress might type at 3 in t

tutorialsgary-marcus--x
24 May 2026
Applications

Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series

DGX agent

arXiv:2605.21542v1 Announce Type: new Abstract: Country-level temporal panels are widely used in empirical analysis. Researchers often need to audit how different entities respond to historical signal

applicationsarxiv-cs-lg
23 May 2026
Safety

During his second term, Trump will have cut 2 of the US most powerful innovation and wealth creation engines: 1. skilled legal immigration 2…

DGX agent

During his second term, Trump will have cut 2 of the US most powerful innovation and wealth creation engines: 1. skilled legal immigration 2. (non-defense) research budgets We won't see the effect of

safetyyann-lecun--x
23 May 2026
Tutorials

If you can learn one thing that's genuinely novel to you, you can learn anything.

DGX agent

This statement from AI researcher François Chollet suggests that the ability to learn something genuinely novel demonstrates a fundamental learning capacity that generalizes across all domains. The cl

tutorialsfrancois-chollet--x
23 May 2026
Model Releases

Does Slightly Mean Somewhat? Measuring Vague Intensity Words in LLM Numeric Actions

DGX agent

arXiv:2605.21827v1 Announce Type: new Abstract: Do language models preserve the ordinal meaning of intensity words when those words must produce numeric actions? I study a researcher-constructed scale

model-releasesarxiv-cs-cl
22 May 2026
Safety

nope you are. because openai will sell your most private data to the government.

DGX agent

This post appears to express concerns about OpenAI's data privacy practices and potential government data sharing, though the claim lacks specific evidence or context. Gary Marcus, an AI researcher an

safetygary-marcus--x
22 May 2026
Safety

AI-based Prediction of Independent Construction Safety Outcomes from Universal Attributes

DGX agent

arXiv:1908.05972v3 Announce Type: replace Abstract: This paper significantly improves on, and finishes to validate, an approach proposed in previous research in which safety outcomes were predicted fr

safetyarxiv-cs-lg
21 May 2026
Model Releases

Capability neq Interpretability: Human Interpretability of Vision Foundation Models

DGX agent

arXiv:2605.20337v1 Announce Type: new Abstract: How interpretable are the features of leading vision models? The question is increasingly pressing as these models move from research benchmarks into hi

model-releasesarxiv-cs-cv
21 May 2026
Safety

Enhancing Speech Large Language Models through Reinforced Behavior Alignment

DGX agent

arXiv:2509.03526v2 Announce Type: replace Abstract: The recent advancements of Large Language Models (LLMs) have spurred considerable research interest in extending their linguistic capabilities beyon

safetyarxiv-cs-cl
21 May 2026
Hardware

NVIDIA GTC Taipei at COMPUTEX: Live Updates on What’s Next in AI

DGX agent

At NVIDIA GTC Taipei at COMPUTEX, the world’s developers, researchers and industry leaders are converging to dive into the latest breakthroughs shaping every industry, covering topics spanning AI fact

hardwarenvidia-blog
21 May 2026
Safety

STiTch: Semantic Transition and Transportation in Collaboration for Training-Free Zero-Shot Composed Image Retrieval

DGX agent

arXiv:2605.21261v1 Announce Type: new Abstract: Training-free zero-shot composed image retrieval models are recently gaining increasing research interest due to their generalizability and flexibility

safetyarxiv-cs-cv
21 May 2026
Agents

A Logistic Regression Model to Predict Malaria Severity in Children

DGX agent

arXiv:2605.18900v1 Announce Type: cross Abstract: One of the main causes of death around the globe is malaria. Researchers have sought to develop predictive models for malaria outbreaks based on meteo

agentsarxiv-cs-lg
20 May 2026
Agents

Agent Security is a Systems Problem

DGX agent

arXiv:2605.18991v1 Announce Type: cross Abstract: We take the position that agent security must be approached as a systems problem: the AI model powering the agent must be treated as an untrusted comp

agentsarxiv-cs-ai
20 May 2026
Model Releases

AgentNLQ: A General-Purpose Agent for Natural Language to SQL

DGX agent

arXiv:2605.19010v1 Announce Type: new Abstract: Natural language to SQL (NL2SQL) conversion is an important problem for researchers and enterprises due to the ubiquitous importance of relational datab

model-releasesarxiv-cs-ai
20 May 2026
Agents

Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network

DGX agent

arXiv:2605.20064v1 Announce Type: new Abstract: In recent years, research has highlighted the association between increased adipose tissue surrounding the human heart and elevated susceptibility to ca

agentsarxiv-cs-cv
20 May 2026
Agents

Causal Evidence that Language Models use Confidence to Drive Behavior

DGX agent

arXiv:2603.22161v2 Announce Type: replace Abstract: Metacognition -- assessing the quality of one's own cognitive performance -- guides adaptive behavior across species. Substantial research demonstra

agentsarxiv-cs-lg
20 May 2026
Tools

Context compression isn't new in RAG. Our contribution is making it query-aware, citation-preserving, and fast enough for orchestration. Rea…

DGX agent

Context compression isn't new in RAG. Our contribution is making it query-aware, citation-preserving, and fast enough for orchestration. Read the full research blog: https://research.perplexity.ai/art

toolsperplexity--x
20 May 2026
Applications

Data-Efficient Self-Supervised Algorithms for Fine-Grained Birdsong Analysis

DGX agent

arXiv:2511.12158v3 Announce Type: replace Abstract: Research in bioacoustics, neuroscience, and linguistics often uses birdsong as a proxy to acquire knowledge across diverse areas. This requires audi

applicationsarxiv-cs-lg
20 May 2026
Safety

Distributional AGI Safety

DGX agent

arXiv:2512.16856v2 Announce Type: replace Abstract: AI safety and alignment research has predominantly been focused on methods for safeguarding individual AI systems, resting on the assumption of an e

safetyarxiv-cs-ai
20 May 2026
Model Releases

For centuries, the scientific method has been our best tool for progress. But today, there’s so much data out there that it’s impossible for…

DGX agent

For centuries, the scientific method has been our best tool for progress. But today, there’s so much data out there that it’s impossible for any one researcher to connect all the dots. We want to fix

model-releasesgoogle-ai--x
20 May 2026
Model Releases

GoTTA be Diverse: Rethinking Memory Policies for Test-Time Adaptation

DGX agent

arXiv:2605.19890v1 Announce Type: new Abstract: Test-time adaptation (TTA) enables a pre-trained model to adapt online to an unlabeled test stream under distribution shift. While most TTA research foc

model-releasesarxiv-cs-cv
20 May 2026
Model Releases

JAXenstein: Accelerated Benchmarking for First-Person Environments

DGX agent

arXiv:2605.19926v1 Announce Type: new Abstract: The progression of reinforcement learning algorithms have been driven by challenging benchmarks. The rate in which a researcher can iterate on a problem

model-releasesarxiv-cs-lg
20 May 2026
Model Releases

Operationalizing Document AI: A Microservice Architecture for OCR and LLM Pipelines in Production

DGX agent

arXiv:2605.18818v1 Announce Type: new Abstract: Academic research tends to focus on new models for document understanding creating a wide gap in the literature between model definition and running mod

model-releasesarxiv-cs-ai
20 May 2026
Safety

Quantifying the Pre-training Dividend: Generative versus Latent Self-Supervised Learning for Time Series Foundation Models

DGX agent

arXiv:2605.19462v1 Announce Type: cross Abstract: The success of self-supervised learning (SSL) in vision and NLP has motivated its rapid adoption for time series. However, research has focused primar

safetyarxiv-cs-ai
20 May 2026
Model Releases

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models

DGX agent

arXiv:2605.19357v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly applied to scientific research, yet existing evaluations often fail to reflect the fine-grained capabiliti

model-releasesarxiv-cs-cl
20 May 2026
Model Releases

This result points to something larger: AI systems are becoming capable of holding together long, difficult chains of reasoning, connecting …

DGX agent

This result points to something larger: AI systems are becoming capable of holding together long, difficult chains of reasoning, connecting ideas across distant fields, and surfacing paths researchers

model-releasesopenai--x
20 May 2026
Model Releases

TwinRouterBench: Fast Static and Live Dynamic Evaluation for Realistic Agentic LLM Routing

DGX agent

arXiv:2605.18859v1 Announce Type: cross Abstract: LLM routing matters most in long-horizon applications such as coding agents, deep research systems, and computer-use agents, where a single user reque

model-releasesarxiv-cs-ai
20 May 2026
Agents

We are also launching Science Skills, a specialized bundle that integrates insights from 30+ major life science models and databases with ag…

DGX agent

We are also launching Science Skills, a specialized bundle that integrates insights from 30+ major life science models and databases with agentic platforms like @Antigravity to allow researchers to pe

agentsgoogle-ai--x
20 May 2026
Safety

Actionable World Representation

DGX agent

arXiv:2605.18743v1 Announce Type: new Abstract: Inspired by the emergent behaviors in large language models that generalized human intelligence, the research community is pursuing similar emergent cap

safetyarxiv-cs-ai
19 May 2026
Tutorials

[AINews] How to land a job at a frontier lab (on Pretraining)

DGX agent

This article from Latent Space provides guidance on securing employment at cutting-edge AI research laboratories, with a focus on roles related to pretraining large language models. It likely covers p

tutorialslatent-space
19 May 2026
Local Ai

CheckSupport: A Local LLM-Powered Tool for Automated Manuscript Submission Checklist Selection and Completion

DGX agent

arXiv:2605.16377v1 Announce Type: cross Abstract: Transparent and standardized reporting is essential for reproducible scientific research, yet adherence to reporting guidelines remains inconsistent b

local-aiarxiv-cs-ai
19 May 2026
Industry

Demis Hassabis said this might be the ‘foothills of the singularity.’ What?

DGX agent

Welcome to a 'profound moment for humanity,' according to Google DeepMind CEO Demis Hassabis, who closed out Google I/O's keynote presentation on Tuesday, saying: Google's cutting-edge research and pr

industrythe-verge-ai
19 May 2026
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