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HumanDGX agent

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Categories
  • All entries91,566
  • Agents7,790
  • Applications5,565
  • Concepts5
  • Hardware1,943
  • Industry6,214
  • Local Ai5,132
  • Model Releases24,957
  • Research20,928
  • Safety13,836
  • Syntheses17
  • Tools1,680
  • Tutorials3,499

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HumanDGX agent

Content type
91,566Total entries
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91,565 results
Local Ai

b9459

DGX agent

Release b9459 is a version of llama.cpp, the C/C++ implementation for LLM inference. The specific release would contain bug fixes, optimizations, or new features for the llama.cpp project, which enabl

local-aillama-cpp-releases
1 Jun 2026
Local Ai

b9464

DGX agent

Release b9464 is a version of llama.cpp, a project that enables LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware. This specific release likely contains upd

local-aillama-cpp-releases
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
1 Jun 2026
Industry

Back in 2002 I was crazy about yu gi oh but my mother didn't had the money to buy the cards, me and my brothers decided to make our own deck, here are some of the cards that I used in chat gpt to make it look like real published cards

DGX agent

A Reddit user shares a nostalgic story about creating homemade Yu-Gi-Oh cards with their brothers in 2002 when they couldn't afford official cards, then used ChatGPT to generate designs making them re

industryr-chatgpt
1 Jun 2026
Research

BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation

DGX agent

arXiv:2511.19394v2 Announce Type: replace Abstract: Segmenting small lesions in medical images remains notoriously difficult. Most prior work tackles this challenge by either designing better architec

researcharxiv-cs-cv
1 Jun 2026
Research

BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning

DGX agent

arXiv:2605.31246v1 Announce Type: cross Abstract: Prompt learning is a new machine learning paradigm that has attracted ample attention due to its simplicity and proven efficacy. Despite its growing a

researcharxiv-cs-cv
1 Jun 2026
Model Releases

Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence

DGX agent

arXiv:2605.31484v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) is the most widely adopted method for fine-tuning large language models. Notably, LoRA is inherently overparameterized: multi

model-releasesarxiv-cs-lg
1 Jun 2026
Model Releases

Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks

DGX agent

arXiv:2605.30892v1 Announce Type: new Abstract: We consider a federated learning (FL) system in which Industrial Internet-of-Things (IIoT) devices collaboratively train a global model over wireless ch

model-releasesarxiv-cs-lg
1 Jun 2026
Tutorials

BAT: Better Audio Transformer Guided by Convex Gated Probing

DGX agent

arXiv:2602.16305v2 Announce Type: replace-cross Abstract: Probing is widely adopted in computer vision to faithfully evaluate self-supervised learning (SSL) embeddings, as finetuning may misrepresent

tutorialsarxiv-cs-lg
1 Jun 2026
Hardware

Batched Differentiable Rigid Body Dynamics in PyTorch for GPU-Accelerated Robot Learning

DGX agent

arXiv:2605.31481v1 Announce Type: new Abstract: As robot control shifts toward large-scale reinforcement learning with in-loop dynamics computation, the community's reliance on CPU-bound libraries suc

hardwarearxiv-cs-ro
1 Jun 2026
Agents

Batched Stochastic Linear Bandits with 1-Bit Communication Constraints

DGX agent

arXiv:2605.30976v1 Announce Type: cross Abstract: We study stochastic linear bandits under a natural combination of batching and communication constraints: the time horizon is partitioned into batches

agentsarxiv-cs-lg
1 Jun 2026
Research

Bayesian Inference with Shaped Deep Non-linear MLPs

DGX agent

arXiv:2605.30860v1 Announce Type: cross Abstract: A central aim of deep learning theory is to characterize how neural networks make predictions in the regime of simultaneously large model and training

researcharxiv-cs-lg
1 Jun 2026
Applications

Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors

DGX agent

arXiv:2605.05520v2 Announce Type: replace Abstract: Commercial Microwave Links (CMLs) offer dense spatial coverage for rainfall sensing but produce path-integrated measurements that make accurate grou

applicationsarxiv-cs-lg
1 Jun 2026
Model Releases

been asking others at Anthropic how they stay in the loop with Claude and fully understand the work being done this is one of my favorites f…

DGX agent

I cannot provide an accurate summary as the title appears to be truncated and the full content is not accessible. Based on the available text, this likely discusses internal practices at Anthropic reg

model-releasesthariq--x
1 Jun 2026
Agents

Before Parc Ferme: RL-Time Pruning for Efficient Embodied LLMs in Autonomous Driving

DGX agent

arXiv:2605.31256v1 Announce Type: new Abstract: Embodied Large Language Models (LLMs) are increasingly used as reasoning modules in robotic control pipelines to improve human-robot interaction, but th

agentsarxiv-cs-ro
1 Jun 2026
Model Releases

Benchmarking and Enhancing Text-to-Image Models for Generating Visual Representations in Early Arithmetic Education

DGX agent

arXiv:2605.31212v1 Announce Type: cross Abstract: AI systems are increasingly used to support educational content creation, yet it remains unclear whether they can generate outputs that faithfully rep

model-releasesarxiv-cs-ai
1 Jun 2026
Safety

Benchmarking Machine Learning Uncertainty Quantification Methodologies for Predicting Turbine Gas Temperature Degradation

DGX agent

arXiv:2605.30585v1 Announce Type: cross Abstract: Effective prognostics and health management of modern engines relies on accurate turbine gas temperature predictions and robust uncertainty quantifica

safetyarxiv-cs-ai
1 Jun 2026
Applications

Benchmarking Single-Step Inpainting Methods for Multi-Object 3D Gaussian Splatting Scenes

DGX agent

arXiv:2605.30987v1 Announce Type: new Abstract: The tasks of object removal and inpainting 3D Gaussian Splatting (3DGS) scenes face challenges such as 3D consistency across camera views. In comparing

applicationsarxiv-cs-cv
1 Jun 2026
Model Releases

Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification

DGX agent

arXiv:2508.04457v2 Announce Type: replace-cross Abstract: Reliable uncertainty quantification is crucial for trustworthy decision-making and the deployment of AI models in medical imaging. While prior

model-releasesarxiv-cs-lg
1 Jun 2026
Model Releases

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali

DGX agent

arXiv:2605.31483v1 Announce Type: new Abstract: Despite Bengali being the sixth most spoken language in the world, no prior work has systematically evaluated hallucination in large language models (LL

model-releasesarxiv-cs-cl
1 Jun 2026
Agents

@bentannyhill @Zach_Kamran Langsmith Engine is the 'Full Self-Driving' moment for AI Engineering

DGX agent

Harrison Chase compares LangSmith Engine to Tesla's 'Full Self-Driving' moment, suggesting it represents a significant advancement in AI engineering capabilities and automation. The post indicates Lan

agentsharrison-chase--x
1 Jun 2026
Industry

Bernie Sanders says the wealth AI creates 'must benefit humanity', calling for a sovereign wealth fund that would hold ownership stakes in the top AI companies (Bernie Sanders/New York Times)

DGX agent

Bernie Sanders / New York Times: Bernie Sanders says the wealth AI creates “must benefit humanity”, calling for a sovereign wealth fund that would hold ownership stakes in the top AI companies — Artif

industrytechmeme
1 Jun 2026
Model Releases

Bernini released. Unified Video generation and editing model. Built on Wan-2.2

DGX agent

Bernini is a unified framework for video editing and video generation , built using Wan2.2-A14B as its renderer . The model covers complementary task families that demonstrate its capabilities as a un

model-releasesr-stablediffusion
1 Jun 2026
Local Ai

Best-Arm Identification-Based Trust Region Selection for Bayesian Optimization on Multimodal Functions

DGX agent

arXiv:2605.31050v1 Announce Type: new Abstract: Gaussian process-based Bayesian optimization (BO) is a popular approach for expensive black-box optimization, but its performance often degrades on comp

local-aiarxiv-cs-lg
1 Jun 2026
Local Ai

Beyond Accuracy: Evaluating Efficiency, Robustness and Explainability in Deep Learning for Malaria Diagnosis

DGX agent

arXiv:2605.30734v1 Announce Type: cross Abstract: Malaria remains a leading cause of mortality in sub-Saharan Africa, where scarce diagnostic infrastructure makes timely, accurate diagnosis particular

local-aiarxiv-cs-cv
1 Jun 2026
Research

Beyond Additive Decompositions: Interpretability Through Separability

DGX agent

arXiv:2605.31200v1 Announce Type: new Abstract: Interpretable machine learning requires models that are accurate and structurally faithful to the data.Existing explainability methods rely heavily on a

researcharxiv-cs-lg
1 Jun 2026
Model Releases

Beyond Agreement: Scoring Panel-Surfaced Biomedical Entity Candidates for Curator Triage

DGX agent

arXiv:2605.30826v1 Announce Type: cross Abstract: Biomedical NER is deceptively simple for modern LLMs: plausible biomedical mentions are easy to surface, but corpus-convention correctness depends on

model-releasesarxiv-cs-ai
1 Jun 2026
Research

Beyond Classification: Dynamic Adapter Routing for Continual Multimodal Retrieval

DGX agent

arXiv:2605.31229v1 Announce Type: cross Abstract: While retrieval is a core function of vision-language models, continually updating these models for retrieval tasks remains critically underexplored.

researcharxiv-cs-ai
1 Jun 2026
Tutorials

Beyond Hearing: Learning Task-Agnostic ExG Representations from Earphones via Physiology-Informed Tokenization

DGX agent

arXiv:2510.20853v2 Announce Type: replace-cross Abstract: Electrophysiological (ExG) signals offer valuable insights into human physiology, yet building foundation models that generalize across everyd

tutorialsarxiv-cs-cl
1 Jun 2026
Agents

Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic

DGX agent

Enterprise AI adoption at scale requires moving beyond large language models to implement agent logic systems that can handle complex reasoning, planning, and decision-making autonomously. Agent-based

agentshugging-face
1 Jun 2026
Applications

Beyond Memorization: Assessing Semantic Generalization in Large Language Models Using Phrasal Constructions

DGX agent

arXiv:2501.04661v3 Announce Type: replace-cross Abstract: The web-scale of pretraining data has created an important evaluation challenge: to disentangle linguistic competence on cases well-represente

applicationsarxiv-cs-ai
1 Jun 2026
Model Releases

Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors

DGX agent

arXiv:2602.15634v2 Announce Type: replace Abstract: Graph Neural Networks (GNNs) learn node representations through iterative network-based message-passing. While powerful, deep GNNs suffer from overs

model-releasesarxiv-cs-lg
1 Jun 2026
Model Releases

Beyond Static Dialogues: Benchmarking Realistic, Heterogeneous, and Evolving Long-Term Memory

DGX agent

arXiv:2605.31086v1 Announce Type: new Abstract: In existing memory benchmarks for Large Language Models (LLMs), the evaluated dialogue sessions often lack long-term semantic consistency, and the under

model-releasesarxiv-cs-cl
1 Jun 2026
Hardware

Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning

DGX agent

arXiv:2603.09221v2 Announce Type: replace Abstract: Associative memory has long underpinned the design of sequential models. Beyond recall, humans reason by projecting future states and selecting goal

hardwarearxiv-cs-lg
1 Jun 2026
Research

Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph Learning

DGX agent

arXiv:2508.18730v2 Announce Type: replace Abstract: Estimating the quality of register transfer level (RTL) designs is crucial in the electronic design automation (EDA) workflow, as it enables instant

researcharxiv-cs-lg
1 Jun 2026
Safety

BIAS-ID: A Framework for Analyzing Transformation Biases in AI-Generated Image Detectors

DGX agent

arXiv:2605.31153v1 Announce Type: new Abstract: Given the surge of harmful AI-generated imagery online, reliably distinguishing authentic images from generated ones has become an urgent research topic

safetyarxiv-cs-cv
1 Jun 2026
Safety

Biases in the Blind Spot: Detecting What LLMs Fail to Mention

DGX agent

arXiv:2602.10117v5 Announce Type: replace-cross Abstract: Large Language Models (LLMs) often provide chain-of-thought (CoT) reasoning traces that appear plausible, but may hide internal biases. We cal

safetyarxiv-cs-ai
1 Jun 2026
Research

Bidirectional Incremental Generalized Hybrid A*

DGX agent

arXiv:2605.30647v1 Announce Type: new Abstract: We focus on the problem of efficient anytime kinodynamic planning for systems with complex dynamics in unstructured environments that make precomputing

researcharxiv-cs-ro
1 Jun 2026
Research

Bifurcated Remaining Useful Life Prediction: A Hybrid Approach for Realistic Uncertainty Characterization

DGX agent

arXiv:2605.31241v1 Announce Type: new Abstract: This study presents a novel hybrid prognostic framework for uncertainty-aware Remaining Useful Life (RUL) estimation in turbofan engines using the NASA

researcharxiv-cs-lg
1 Jun 2026
Model Releases

Big day for American open models... Nemotron 3 Ultra is now the strongest US open-weight model tested, while apparently serving 300+ tok/s …

DGX agent

Big day for American open models... Nemotron 3 Ultra is now the strongest US open-weight model tested, while apparently serving 300+ tok/s 🤯 Comparable large DeepSeek/Kimi models are usually 50-100 to

model-releasesharrison-chase--x
1 Jun 2026
Model Releases

BilliardPhys-Bench: Benchmarking Physical Reasoning and Visual Dynamics of Multimodal LLMs

DGX agent

arXiv:2605.30900v1 Announce Type: new Abstract: Current multimodal models handle static image recognition well, but intuitive physical reasoning remains a weakness. Predicting how objects will move an

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

Binance launches trading for 7,000+ US stocks and ETFs for non-US users, with zero commissions and fractional share purchases, as part of its 'super app' push (Jeff John Roberts/Fortune)

DGX agent

Jeff John Roberts / Fortune: Binance launches trading for 7,000+ US stocks and ETFs for non-US users, with zero commissions and fractional share purchases, as part of its “super app” push — Binance, t

model-releasestechmeme
1 Jun 2026
Safety

BiSegMamba: Efficient Bidirectional Tri-Oriented Mamba for 3D Medical Image Segmentation

DGX agent

arXiv:2605.30972v1 Announce Type: new Abstract: Accurate 3D medical image segmentation requires both long-range volumetric context and fine boundary preservation. CNN-based methods have limited global

safetyarxiv-cs-cv
1 Jun 2026
Model Releases

BlueFin: Benchmarking LLM Agents on Financial Spreadsheets

DGX agent

arXiv:2605.30907v1 Announce Type: cross Abstract: We present BlueFin, a benchmark that tasks large language model (LLM) agents with synthesis, manipulation, and comprehension tasks over spreadsheet wo

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

BOKBO (Best of K Bad Options): Calibrated Abstention for VLA Policies

DGX agent

arXiv:2605.30660v1 Announce Type: new Abstract: Test-time scaling for vision-language-action (VLA) policies, methods such as RoboMonkey, SEAL, MG-Select, and V-GPS, samples K candidate action chunks a

model-releasesarxiv-cs-lg
1 Jun 2026
Model Releases

Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies

DGX agent

arXiv:2512.19673v3 Announce Type: replace-cross Abstract: Existing reinforcement learning (RL) approaches treat large language models (LLMs) as a unified policy, overlooking their internal mechanisms.

model-releasesarxiv-cs-ai
1 Jun 2026
Safety

Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models

DGX agent

arXiv:2510.11683v3 Announce Type: replace-cross Abstract: A key challenge in applying reinforcement learning (RL) to diffusion large language models (dLLMs) is the intractability of their likelihood f

safetyarxiv-cs-ai
1 Jun 2026
Model Releases

Bounded Behavioral Indistinguishability for Black-Box LLM Distillation

DGX agent

arXiv:2605.30448v1 Announce Type: cross Abstract: Black-box LLM distillation is usually evaluated as an output-matching problem: a student is considered successful when its responses are semantically

model-releasesarxiv-cs-cl
1 Jun 2026
Hardware

Box says it created 13 new AI-focused roles, like AI architect and AI solutions manager, and plans to grow its staff to 3,000 by early 2027, up from 2,900 (Kalley Huang/New York Times)

DGX agent

Kalley Huang / New York Times: Box says it created 13 new AI-focused roles, like AI architect and AI solutions manager, and plans to grow its staff to 3,000 by early 2027, up from 2,900 — Box, a Silic

hardwaretechmeme
1 Jun 2026
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