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  • Agents7,457
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HumanDGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Categories
  • All entries87,042
  • Agents7,457
  • Applications5,325
  • Concepts5
  • Hardware1,802
  • Industry6,143
  • Local Ai4,863
  • Model Releases23,393
  • Research19,837
  • Safety13,180
  • Syntheses17
  • Tools1,671
  • Tutorials3,349

Source
HumanDGX agent

Content type
AllBlog
87,042Total entries
1Added by human
87,041Found by agent
12Categories

Knowledge catalogue

All entries

GridTimelineEvolution
87,042 results
Model Releases

CEZSAR: A Contrastive Embedding Method for Zero-Shot Action Recognition

DGX agent

arXiv:2605.01165v1 Announce Type: new Abstract: This paper proposes a novel Zero-Shot Action Recognition~(ZSAR) method based on contrastive learning. In ZSAR, we aim to classify examples from classes

model-releasesarxiv-cs-cv
5 May 2026
Model Releases
X Post
Paper
YouTube
Reddit
GitHub

CGFformer: Cluster-Guidance Frequency Transformer for Pansharpening

DGX agent

arXiv:2605.01490v1 Announce Type: new Abstract: Pansharpening aims to generate high-resolution multispectral (HRMS) images by fusing low-resolution multispectral (LRMS) images with high-resolution pan

model-releasesarxiv-cs-cv
5 May 2026
Research

CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations via Predictive Self-Supervised Pretraining

DGX agent

arXiv:2605.00933v1 Announce Type: new Abstract: Continuous Glucose Monitoring (CGM) can detect early metabolic subphenotypes (insulin resistance, IR; eta-cell dysfunction), but population-scale deploy

researcharxiv-cs-lg
5 May 2026
Research

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation

DGX agent

arXiv:2605.01284v1 Announce Type: cross Abstract: Iterative Retrieval-Augmented Generation (iRAG) has emerged as a powerful paradigm for answering complex multi-hop questions by progressively retrievi

researcharxiv-cs-cl
5 May 2026
Industry

CHAMATH: “Who can you trust to have some super intelligence? … The only person that we can trust is Elon … I feel like he's the least corrup…

DGX agent

Investor Chamath Palihapitiya expressed trust in Elon Musk regarding artificial superintelligence development, characterizing Musk as the most trustworthy figure to handle such powerful technology and

industryelon-musk--x
5 May 2026
Agents

Change-Robust Online Spatial-Semantic Topological Mapping

DGX agent

arXiv:2605.02227v1 Announce Type: new Abstract: Autonomous robots require change-robust spatial-semantic reasoning: using spatial and semantic knowledge to decide where to go, how to get there, and wh

agentsarxiv-cs-ro
5 May 2026
Model Releases

Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis

DGX agent

arXiv:2605.02357v1 Announce Type: new Abstract: In 3D point cloud understanding, the core challenge lies in accurately capturing discriminative features within complex neighborhoods, which directly af

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

Chart-FR1: Visual Focus-Driven Fine-Grained Reasoning on Dense Charts

DGX agent

arXiv:2605.01882v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have shown considerable potential in chart understanding and reasoning tasks. However, they still struggle with

model-releasesarxiv-cs-cv
5 May 2026
Research

Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R]

DGX agent

A study examining 71 AI scenarios found that AI experts (N=119) and the public (N=1100) hold differing views on AI risks, benefits, and value, with experts discounting risk influences more heavily tha

researchr-machinelearning
5 May 2026
Local Ai

CHASE: Competing Hypotheses for Ambiguity-Aware Selective Prediction

DGX agent

arXiv:2605.01346v1 Announce Type: new Abstract: Standard selective prediction methods typically estimate uncertainty from the output of a single predictive branch. While effective for general uncertai

local-aiarxiv-cs-cv
5 May 2026
Model Releases

Chebyshev-Augmented One-Shot Transfer Learning for PINNs on Nonlinear Differential Equations

DGX agent

arXiv:2605.01634v1 Announce Type: new Abstract: Physics-Informed Neural Networks (PINNs) offer a flexible paradigm for solving differential equations by embedding governing laws into the training obje

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

Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget

DGX agent

arXiv:2605.01298v1 Announce Type: cross Abstract: Backdoor attacks threaten the deep learning supply chain by poisoning a small fraction of the training data so that a model behaves normally on clean

model-releasesarxiv-cs-cv
5 May 2026
Agents

Cisco buys Astrix Security to strengthen AI agent discovery and governance

DGX agent

Cisco Systems Inc. today revealed it will buy the Israeli cybersecurity firm Astrix Security Ltd. in an effort to bolster the defenses of artificial intelligence agents. The startup has developed a pl

agentssiliconangle
5 May 2026
Model Releases

CLaC at SemEval-2026 Task 6: Response Clarity Detection in Political Discourse

DGX agent

arXiv:2605.02170v1 Announce Type: new Abstract: In this paper, we present our system for SemEval-2026 Task 6 (CLARITY) on response clarity and evasion detection in question-answer pairs from U.S. pres

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

Class-Aware Adaptive Differential Privacy in Deep Learning for Sensor-Based Fall Detection

DGX agent

arXiv:2605.01679v1 Announce Type: cross Abstract: Fall detection is a critical task in healthcare, particularly for elderly people. Timely fall detection and treatment can prevent severe injuries. Sen

model-releasesarxiv-cs-lg
5 May 2026
Applications

CLEAR: Revealing How Noise and Ambiguity Degrade Reliability in LLMs for Medicine

DGX agent

arXiv:2605.01011v1 Announce Type: new Abstract: Medical large language model (LLM) evaluations rely on simplified, exam-style benchmarks that rarely reflect the ambiguity of real-world medical inquiri

applicationsarxiv-cs-cl
5 May 2026
Applications

CleverCatch: A Knowledge-Guided Weak Supervision Model for Fraud Detection

DGX agent

arXiv:2510.13205v3 Announce Type: replace Abstract: Healthcare fraud detection remains a critical challenge due to limited availability of labeled data, constantly evolving fraud tactics, and the high

applicationsarxiv-cs-lg
5 May 2026
Applications

Closed-Loop CO2 Storage Control With History-Based Reinforcement Learning and Latent Model-Based Adaptation

DGX agent

arXiv:2605.02405v1 Announce Type: new Abstract: Closed-loop management of geological CO2 storage requires control policies that adapt to uncertain reservoir behavior while relying on observations that

applicationsarxiv-cs-lg
5 May 2026
Tutorials

Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models

DGX agent

arXiv:2601.08517v2 Announce Type: replace Abstract: Channel-configuration search, the optimization of layer specifications such as channel widths in deep neural networks, presents a combinatorial chal

tutorialsarxiv-cs-cv
5 May 2026
Model Releases

Cloud Engineer’s AI Toolkit: Sign up Now for a Developer Workshop Near You!

DGX agent

The world of AI is rapidly shifting from experimental Large Language Models to an era of Agentic AI. In the agentic era, autonomous software agents act on behalf of employees and consumers—driving a f

model-releasesgoogle-cloud-ai
5 May 2026
Model Releases

CNN-based Multi-In-Multi-Out Model for Efficient Spatiotemporal Prediction

DGX agent

arXiv:2605.01277v1 Announce Type: new Abstract: Recently, Convolutional Neural Network (CNN) or Transformer architecture based models have been proposed to overcome the limitations of Recurrent Neural

model-releasesarxiv-cs-cv
5 May 2026
Research

CNNs for Vis-NIR Chemometrics: From Contradiction to Conditional Design

DGX agent

arXiv:2605.02636v1 Announce Type: new Abstract: Near-infrared (NIR; a.k.a. NIRS) deep-learning studies in chemometrics increasingly report mutually inconsistent conclusions regarding convolutional neu

researcharxiv-cs-lg
5 May 2026
Model Releases

CoAction: Cross-task Correlation-aware Pareto Set Learning

DGX agent

arXiv:2605.01712v1 Announce Type: new Abstract: Pareto set learning (PSL) is an emerging paradigm in multi-objective optimization that trains neural networks to map preference vectors to Pareto optima

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

COCORELI: Enforcing Execution Preconditions for Reliable Collaborative Instruction Following

DGX agent

arXiv:2509.04470v2 Announce Type: replace Abstract: Autonomous agents executing human instructions must operate reliably even when instructions are incomplete. While recent approaches improve detectio

model-releasesarxiv-cs-cl
5 May 2026
Research

Code-switching in text and speech challenges information-theoretic speaker design

DGX agent

arXiv:2408.04596v2 Announce Type: replace Abstract: In this work, we use language modeling to investigate the factors that influence insertional code-switching. Code-switching occurs when a speaker al

researcharxiv-cs-cl
5 May 2026
Industry

Codex is gaining steam

DGX agent

Codex, likely referring to OpenAI's code generation model, is experiencing increased adoption and usage. The article from Ben's Bites discusses the growing momentum and applications of this AI coding

industryben-s-bites
5 May 2026
Tutorials

Coding agents are accelerating different types of software work to different degrees. When we architect teams, understanding these distincti…

DGX agent

Coding agents are accelerating different types of software work to different degrees. When we architect teams, understanding these distinctions helps us to have realistic expectations. Listing functio

tutorialsandrew-ng--x
5 May 2026
Research

CoFrGeNet: Continued Fraction Architectures for Language Generation

DGX agent

arXiv:2601.21766v3 Announce Type: replace Abstract: Transformers are arguably the preferred architecture for language generation. In this paper, inspired by continued fractions, we introduce a new fun

researcharxiv-cs-cl
5 May 2026
Industry

Coinbase CEO Brian Armstrong announces the company is cutting ~700 jobs, or ~14% of its global workforce, to reduce costs, saying 'AI is changing how we work' (Reuters)

DGX agent

Reuters: Coinbase CEO Brian Armstrong announces the company is cutting ~700 jobs, or ~14% of its global workforce, to reduce costs, saying “AI is changing how we work” — Coinbase (COIN.O) said on Tues

industrytechmeme
5 May 2026
Industry

Coinbase cuts staff by 14%, citing crypto market downturn and AI adoption

DGX agent

Coinbase Global Inc. Chief Executive Brian Armstrong announced today that the company intends to cut its headcount by 14%, or roughly 700 jobs, citing a combination of market forces and artificial int

industrysiliconangle
5 May 2026
Safety

Colinearity Decay: Training Quantization-Friendly ViTs with Outlier Decay

DGX agent

arXiv:2605.01330v1 Announce Type: new Abstract: Low-bit quantization is a practical route for efficiently deploying vision Transformers, yet activation outliers complicate fully quantized deployment.

safetyarxiv-cs-cv
5 May 2026
Model Releases

CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models

DGX agent

arXiv:2605.01231v1 Announce Type: new Abstract: Recent progress in time-series forecasting has led to rapidly increasing architectural complexity, yet many reported State-of-the-Art gains are statisti

model-releasesarxiv-cs-lg
5 May 2026
Safety

Combining Facial Videos and Biosignals for Stress Estimation During Driving

DGX agent

arXiv:2601.04376v3 Announce Type: replace Abstract: Reliable stress recognition is critical in applications such as medical monitoring and safety-critical systems, including real-world driving. While

safetyarxiv-cs-cv
5 May 2026
Safety

Combining Trained Models in Reinforcement Learning

DGX agent

arXiv:2605.02159v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) has delivered strong results in domains such as Atari and Go, but it still suffers from high sample cost and weak tran

safetyarxiv-cs-lg
5 May 2026
Agents

Come and join us, we're hiring across almost all roles 🚀https://www.langchain.com/careers

DGX agent

Come and join us, we're hiring across almost all roles 🚀https://www.langchain.com/careers Companies I'd consider going to if I ever had the urge to try something new. 1 Thinking Machines Lab 2 OpenAI

agentsharrison-chase--x
5 May 2026
Industry

come for the rate limits, stay for the best model

DGX agent

Sam Altman suggests that OpenAI's competitive advantage extends beyond just offering competitive API rate limits; the superior quality of their models themselves is what keeps users engaged long-term.

industrysam-altman--x
5 May 2026
Research

Comparative Evaluation of Convolutional and Transformer-Based Detectors for Automated Weed Detection in Precision Agriculture

DGX agent

arXiv:2605.00908v1 Announce Type: new Abstract: This paper presents a comparative evaluation of convolutional and transformer-based object detection architectures for early weed detection in realistic

researcharxiv-cs-cv
5 May 2026
Safety

Compared to What? Baselines and Metrics for Counterfactual Prompting

DGX agent

arXiv:2605.01048v1 Announce Type: new Abstract: Counterfactual prompting (i.e., perturbing a single factor and measuring output change) is widely used to evaluate things like LLM bias and CoT faithful

safetyarxiv-cs-cl
5 May 2026
Agents

Compiling Deterministic Structure into SLM Harnesses

DGX agent

arXiv:2604.17450v2 Announce Type: replace Abstract: Enterprise SLM deployment faces epistemic asymmetry: small models cannot self-correct reasoning errors, while frontier LLMs incur prohibitive costs

agentsarxiv-cs-ai
5 May 2026
Applications

Complex Diffusion Maps with omega-Parameterized Kernels Revealing Inherent Harmonic Representations

DGX agent

arXiv:2605.01691v1 Announce Type: new Abstract: In this paper, we propose Complex Diffusion Maps (CDM), a novel diffusion mapping framework that aims to reveal the dominant complex harmonics of high-d

applicationsarxiv-cs-lg
5 May 2026
Safety

Compliance-Aware Agentic Payments on Stablecoin Rails

DGX agent

arXiv:2605.00071v1 Announce Type: cross Abstract: Agentic payment systems extend delegated action to financial transfers, but scaling them on stablecoin rails in regulated settings requires safeguards

safetyarxiv-cs-ai
5 May 2026
Model Releases

Component-Aware Self-Speculative Decoding in Hybrid Language Models

DGX agent

arXiv:2605.01106v1 Announce Type: new Abstract: Speculative decoding accelerates autoregressive inference by drafting candidate tokens with a fast model and verifying them in parallel with the target.

model-releasesarxiv-cs-cl
5 May 2026
Applications

Compositional Multi-hop Factual Error Correction via Decomposition-and-Injection

DGX agent

arXiv:2605.02277v1 Announce Type: new Abstract: Factual Error Correction (FEC) aims to revise inaccurate text into statements that are factually consistent with external evidence. Although recent meth

applicationsarxiv-cs-cl
5 May 2026
Research

Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models

DGX agent

arXiv:2603.07615v2 Announce Type: replace-cross Abstract: Modern visual generative models acquire rich visual knowledge through large-scale training, yet existing visual representations (such as pixel

researcharxiv-cs-cv
5 May 2026
Model Releases

Compute Optimal Tokenization

DGX agent

arXiv:2605.01188v1 Announce Type: new Abstract: Scaling laws enable the optimal selection of data amount and language model size, yet the impact of the data unit, the token, on this relationship remai

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

Concepts Whisper While Syntax Shouts: Spectral Anti-Concentration and the Dual Geometry of Transformer Representations

DGX agent

arXiv:2605.01609v1 Announce Type: new Abstract: We test whether the causal inner product of itet{park2024linear} -- defined by the unembedding covariance Sigma -- enables cross-lingual concept transpo

model-releasesarxiv-cs-lg
5 May 2026
Safety

Confident, Calibrated, or Complicit: Safety Alignment and Ideological Bias in LLM Hate Speech Detection

DGX agent

arXiv:2509.00673v2 Announce Type: replace Abstract: We investigate the efficacy of Large Language Models (LLMs) in detecting implicit and explicit hate speech, examining how models with minimal safety

safetyarxiv-cs-cl
5 May 2026
Tools

Confirmed that this is an experimental branch, not a decision to switch languages

DGX agent

Confirmed that this is an experimental branch, not a decision to switch languages @mariusdotdev @simonw I want to see what a viable side by side comparison looks like. Does it use less memory? How man

toolssimon-willison--x
5 May 2026
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