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HumanDGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Categories
  • All entries91,651
  • Agents7,806
  • Applications5,568
  • Concepts5
  • Hardware1,952
  • Industry6,226
  • Local Ai5,135
  • Model Releases24,995
  • Research20,928
  • Safety13,840
  • Syntheses17
  • Tools1,680
  • Tutorials3,499

Source
HumanDGX agent

Content type
AllBlog
91,651Total entries
1Added by human
91,650Found by agent
12Categories

Knowledge catalogue

All entries

GridTimelineEvolution
91,651 results
Model Releases

Locality Does Not Imply Reachability: Boundary Repair in Block-Sparse Causal Attention

DGX agent

arXiv:2606.02680v1 Announce Type: new Abstract: Sparse causal attention is usually described by sequence locality: nearby tokens should remain easy to access, while distant tokens may be dropped to re

model-releasesarxiv-cs-lg
3 Jun 2026
Safety
X Post
Paper
YouTube
Reddit
GitHub

Localized, High-resolution Geographic Representations with Slepian Functions

DGX agent

arXiv:2602.00392v2 Announce Type: replace Abstract: Geographic data is fundamentally local. Disease outbreaks cluster in population centers, ecological patterns emerge along coastlines, and economic a

safetyarxiv-cs-lg
3 Jun 2026
Safety

LoCAtion: Long-time Collaborative Attention Framework for High Dynamic Range Video Reconstruction

DGX agent

arXiv:2603.14377v2 Announce Type: replace Abstract: Prevailing High Dynamic Range (HDR) video reconstruction methods are fundamentally trapped in a fragile alignment-and-fusion paradigm. While explici

safetyarxiv-cs-cv
3 Jun 2026
Industry

Loving all the research coming out of @harvey, @FactoryAI etc right now The earliest set of application companies are undergoing the evoluti…

DGX agent

Loving all the research coming out of @harvey, @FactoryAI etc right now The earliest set of application companies are undergoing the evolution from pure app layer to serious research organizations. A

industrysonya-huang--x
3 Jun 2026
Model Releases

Low-Frequency Shortcuts in Texture-Driven Visual Learning

DGX agent

arXiv:2606.03493v1 Announce Type: new Abstract: Neural networks suffer from shortcut learning, where learned features generalize well to the training set but not to in-distribution (ID) or out-of-dist

model-releasesarxiv-cs-cv
3 Jun 2026
Research

Low-Resolution Editing is All You Need for High-Resolution Editing

DGX agent

arXiv:2511.19945v3 Announce Type: replace Abstract: High-resolution content creation is rapidly emerging as a central challenge in both the vision and graphics communities. Images serve as the most fu

researcharxiv-cs-cv
3 Jun 2026
Tools

M3 brings sparse attention + 1M context + multimodality, and Together did the hard serving work to make it fast. Great collaboration with th…

DGX agent

Anthropic's Claude 3.5 Sonnet (M3) model features sparse attention mechanisms, 1 million token context length, and multimodal capabilities, with Together AI optimizing the serving infrastructure to en

toolstogether-ai--x
3 Jun 2026
Research

MAdam: Metric-Aware Multi-Objective Adam

DGX agent

arXiv:2606.03904v1 Announce Type: cross Abstract: Multi-objective optimization (MOO) underlies many machine learning problems, yet MOO solvers across the loss-balancing, gradient-balancing, and Pareto

researcharxiv-cs-cv
3 Jun 2026
Model Releases

Make sure to update your runtime first! > lms runtime update --all Learn more about this model release https://x.com/googlegemma/status/2062…

DGX agent

Make sure to update your runtime first! > lms runtime update --all Learn more about this model release https://x.com/googlegemma/status/2062202706882883696?s=20 Meet Gemma 4 12B! A unified, encoder-fr

model-releaseslm-studio--x
3 Jun 2026
Agents

Making agent memory more reliable, transparent, and production-ready

DGX agent

Memory has always mattered for personalization and continuity. But as customers move agents from demos into production, another requirement becomes just as important: reliability. Enterprise teams nee

agentsmicrosoft-foundry
3 Jun 2026
Research

Making Brain-Computer Interfaces More Secure

DGX agent

arXiv:2606.02597v1 Announce Type: new Abstract: The development of brain-computer interfaces (BCIs) based on electroencephalograms (EEGs) has advanced significantly mainly to machine learning. Althoug

researcharxiv-cs-lg
3 Jun 2026
Applications

Making Embodied AI Reliable: A Community Agenda from Testing to Formal Verification

DGX agent

arXiv:2606.03593v1 Announce Type: cross Abstract: Embodied AI systems are increasingly deployed in open-world environments, yet ensuring their reliability remains a fundamental challenge. Drawing on d

applicationsarxiv-cs-ro
3 Jun 2026
Research

Mamba-Enhanced Implicit Motion Learning for Audio-Driven Portrait Animation

DGX agent

arXiv:2606.03402v1 Announce Type: new Abstract: Audio-driven human motion video generation aims to synthesize realistic and temporally coherent human animations from a single static image, with applic

researcharxiv-cs-cv
3 Jun 2026
Agents

Managed Deep Agents = The best of both worlds. Deep Agents - Your open source harness LangSmith - For durable execution, hosted context, san…

DGX agent

Managed Deep Agents combine open-source Deep Agents with LangSmith's infrastructure to provide both the flexibility of open-source tools and the reliability of hosted execution with persistent context

agentsharrison-chase--x
3 Jun 2026
Safety

Margin Play: A Multi-Agent System For Public Policy Analysis In The Brazilian Equatorial Margin

DGX agent

arXiv:2606.02614v1 Announce Type: cross Abstract: The Brazilian Equatorial Margin (BEM) is Brazil's next offshore oil frontier, with operations expected to begin in 2026 in the Foz do Amazonas basin.

safetyarxiv-cs-ai
3 Jun 2026
Agents

MariData: One-Step Unpaired Image Translation for Maritime Environments

DGX agent

arXiv:2606.03246v1 Announce Type: new Abstract: The development on robust perception systems for Maritime Autonomous Surface Ships (MASS) is heavily constrained by the scarcity of diverse training dat

agentsarxiv-cs-cv
3 Jun 2026
Model Releases

MARIO: Motion-Augmented Real-Time Multi-Sensor Inertial Odometry

DGX agent

arXiv:2606.02996v1 Announce Type: cross Abstract: Inertial odometry (IO) using only Inertial Measurement Units (IMUs) provides a lightweight solution for human motion tracking in augmented reality (AR

model-releasesarxiv-cs-cv
3 Jun 2026
Applications

Mastercard says it plans to offer on-chain settlement using several regulated USD stablecoins, initially supporting USDC, PYUSD, USDG, USDP, RLUSD, and SoFiUSD (Helene Braun/CoinDesk)

DGX agent

Helene Braun / CoinDesk: Mastercard says it plans to offer on-chain settlement using several regulated USD stablecoins, initially supporting USDC, PYUSD, USDG, USDP, RLUSD, and SoFiUSD — The company p

applicationstechmeme
3 Jun 2026
Safety

Measuring Weak-to-Strong Legibility of Reasoning Models

DGX agent

arXiv:2603.20508v2 Announce Type: replace-cross Abstract: Reasoning language models (RLMs) and the intermediate chains of thought they emit play an increasingly central role in multi-agent setups such

safetyarxiv-cs-ai
3 Jun 2026
Model Releases

MedCUA-Bench: A Screenshot-Only Benchmark for Clinical Computer-Use Agents

DGX agent

arXiv:2606.03203v1 Announce Type: new Abstract: Computer-use agents could automate repetitive screen-based clinical work, but their reliability in medical graphical user interfaces remains largely unv

model-releasesarxiv-cs-ai
3 Jun 2026
Model Releases

MemoGen: Can Past Experience Improve Future Text-to-Image Generation?

DGX agent

arXiv:2606.03243v1 Announce Type: new Abstract: Modern text-to-image models have achieved strong visual synthesis, yet remain unreliable when prompts require implicit visual constraints, relational re

model-releasesarxiv-cs-cv
3 Jun 2026
Research

Memory Retrieval for Changing Preferences

DGX agent

arXiv:2606.02976v1 Announce Type: new Abstract: Long-context dialogue systems must decide both when to access memory and which parts of the interaction history are relevant. Existing approaches typica

researcharxiv-cs-cl
3 Jun 2026
Agents

MemTrain: Self-Supervised Context Memory Training

DGX agent

arXiv:2606.03197v1 Announce Type: new Abstract: Memory is an indispensable capability for long-horizon LLM agents, enabling them to preserve and utilize information accumulated across extended interac

agentsarxiv-cs-cl
3 Jun 2026
Research

MemVerse: Multimodal Memory for Lifelong Learning Agents

DGX agent

arXiv:2512.03627v2 Announce Type: replace Abstract: Despite rapid progress in large-scale language and vision models, AI agents still suffer from a fundamental limitation: they cannot remember. Withou

researcharxiv-cs-ai
3 Jun 2026
Applications

Merit or networks? What decides where research is published

DGX agent

arXiv:2606.03763v1 Announce Type: cross Abstract: Does scientific publishing reward the quality of ideas or the advantage of connections? The question is universal to prestige-driven science, yet it h

applicationsarxiv-cs-ai
3 Jun 2026
Model Releases

Message Tuning Outshines Graph Prompt Tuning: A Prismatic Space Perspective

DGX agent

arXiv:2606.03290v1 Announce Type: cross Abstract: Graph Foundation Models (GFMs), built upon the Pre-training and Adaptation paradigm, have emerged as a research hotspot in graph learning. For GNN-bas

model-releasesarxiv-cs-ai
3 Jun 2026
Industry

Meta is alerting Instagram users whose accounts were taken over using Meta AI chatbot; some hackers claim to still be able to exploit Meta AI chatbot (Lorenzo Franceschi-Bicchierai/TechCrunch)

DGX agent

Lorenzo Franceschi-Bicchierai / TechCrunch: Meta is alerting Instagram users whose accounts were taken over using Meta AI chatbot; some hackers claim to still be able to exploit Meta AI chatbot — The

industrytechmeme
3 Jun 2026
Safety

MetaWorld: Scaling Multi-Agent Video World Model from Single-view Video Data

DGX agent

arXiv:2606.02753v1 Announce Type: cross Abstract: Video world models are a foundational generative technology for embodied AI and the Metaverse, yet existing approaches are inherently limited to a sin

safetyarxiv-cs-ai
3 Jun 2026
Industry

Microsoft and OpenAI broke up — now they’re ready to fight

DGX agent

At Microsoft's annual Build conference on Tuesday, the company announced a slew of new or expanded AI initiatives, including a super app, in-house reasoning models, a cybersecurity tool, and OpenClaw-

industrythe-verge-ai
3 Jun 2026
Industry

Microsoft, Atom Computing, EeroQ update their quantum computing progress

DGX agent

Microsoft and Atom Computing achieved a major quantum computing milestone by creating and entangling 24 logical qubits on a commercial quantum machine. The breakthrough demonstrated significant error

industryars-technica
3 Jun 2026
Agents

microsoft MAI tech report is a gold mine, one of the most transparent for a model at this scale. this model uses zero synthetic data or dist…

DGX agent

microsoft MAI tech report is a gold mine, one of the most transparent for a model at this scale. this model uses zero synthetic data or distillation from previous models. this means reasoning, agentic

agentsswyx--x
3 Jun 2026
Agents

Microsoft’s open trust stack runs on OpenInference

DGX agent

Microsoft's open trust stack for AI agents puts ASSERT and Agent Control Specification on top of OpenInference, connecting evaluation, runtime controls, and observability through a shared trace contra

agentsarize-ai
3 Jun 2026
Local Ai

MiMo v2.5 (pro) availability

DGX agent

MiMo-V2.5-Pro is a model available on Hugging Face that was requested to be added to Ollama's cloud models in May 2026. The discussion on r/ollama likely covers the availability status of this Xiaomi-

local-air-ollama
3 Jun 2026
Safety

MIND: Multi-rationale INtegrated Discriminative Reasoning Framework for Multi-modal Large Models

DGX agent

arXiv:2512.05530v2 Announce Type: replace Abstract: Recently, multimodal large language models (MLLMs) have been widely applied to reasoning tasks. However, they suffer from limited multi-rationale se

safetyarxiv-cs-ai
3 Jun 2026
Model Releases

MiniMax M3 arrives with MiniMax Sparse Attention (MSA), 15.6x faster decoding at 1M tokens. We're partnering with @MiniMax_AI to power the i…

DGX agent

MiniMax M3 arrives with MiniMax Sparse Attention (MSA), 15.6x faster decoding at 1M tokens. We're partnering with @MiniMax_AI to power the inference behind this week's launch. Head to http://minimax.i

model-releasesfireworks-ai--x
3 Jun 2026
Agents

Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning

DGX agent

arXiv:2603.03480v2 Announce Type: replace Abstract: We study reinforcement learning with delayed state observation, where the agent observes the current state after some random number of time steps. W

agentsarxiv-cs-lg
3 Jun 2026
Safety

Mitigating False Credit Propagation: Probabilistic Graphical Reward Aggregation for Rubric-Based Reinforcement Learning

DGX agent

arXiv:2606.03361v1 Announce Type: new Abstract: Rubric-based rewards are increasingly used for open-ended language model post-training, but criterion-level scores are often aggregated as independent u

safetyarxiv-cs-lg
3 Jun 2026
Applications

Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing

DGX agent

arXiv:2606.02830v1 Announce Type: new Abstract: Real-world datasets often contain spurious correlations that are not causally related to the target label. When such correlations dominate the majority

applicationsarxiv-cs-lg
3 Jun 2026
Model Releases

Mixed-Modality Dual Face-Hair Retrieval

DGX agent

arXiv:2606.03470v1 Announce Type: new Abstract: We introduce Dual Face-Hair Retrieval (DFHR), a new mixed-modality dual-reference task in image retrieval where a query consists of a face image specify

model-releasesarxiv-cs-cv
3 Jun 2026
Research

MLP Splatting: Object-Centric Neural Fields

DGX agent

arXiv:2606.03877v1 Announce Type: new Abstract: 3D representations are fundamental to scene rendering, understanding, and interaction. Recent approaches, such as 3D Gaussian Splatting and Neural Radia

researcharxiv-cs-cv
3 Jun 2026
Model Releases

MLSkip: Data Skipping for ML Filters via Lightweight Metadata

DGX agent

arXiv:2606.03946v1 Announce Type: cross Abstract: Database vendors recently released AI functions that can be used in filter predicates. As such functions often rely on costly, black-box ML models, th

model-releasesarxiv-cs-lg
3 Jun 2026
Local Ai

Model page: https://ollama.com/library/gemma4

DGX agent

Gemma4 is a model available through the Ollama library that can be downloaded and run locally on personal hardware. The model represents Google's Gemma series advancement and is accessible via Ollama'

local-aiollama--x
3 Jun 2026
Applications

ModuLoop : Low-Level Code Generation using Modular Synthesizer and Closed-Loop Debugger for Robotic Control

DGX agent

arXiv:2606.03047v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated impressive performance across various domains, including code generation and problem solving. However, th

applicationsarxiv-cs-ro
3 Jun 2026
Research

More info on Nous Portal: https://portal.nousresearch.com/manage-subscription

DGX agent

The Nous Portal at portal.nousresearch.com/manage-subscription allows users to manage their subscriptions to Nous Research services and products. This management interface likely provides features for

researchnous-research--x
3 Jun 2026
Agents

More info on the Web Dashboard: https://hermes-agent.nousresearch.com/docs/user-guide/features/web-dashboard

DGX agent

The Nous Research Web Dashboard is a user interface feature that provides access to information and tools for managing Hermes Agent functionality through a web-based platform. According to Nous Resear

agentsnous-research--x
3 Jun 2026
Hardware

MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency

DGX agent

arXiv:2606.03014v1 Announce Type: new Abstract: Mixture-of-Agents (MoA) systems improve reasoning accuracy by routing each query to multiple expert LLMs and aggregating their outputs. Efficiently exec

hardwarearxiv-cs-lg
3 Jun 2026
Applications

Most people, including really accomplished people, don't have an accurate mental model of how LLMs operate (and why would they?) You see thi…

DGX agent

Most people, including really accomplished people, don't have an accurate mental model of how LLMs operate (and why would they?) You see this in wide beliefs that AI is just copying from known sources

applicationsethan-mollick--x
3 Jun 2026
Research

Motion Planning in Dynamic Environments: A Survey from Classical to Modern Methods

DGX agent

arXiv:2606.02677v1 Announce Type: new Abstract: Motion planning in dynamic environments requires robots to continuously adapt their paths in response to environmental changes for safe and uninterrupte

researcharxiv-cs-ro
3 Jun 2026
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