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  • 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
127,664Total entries
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127,604 results
19 May 2026

Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach

SafetyDGX agent

arXiv:2605.18437v1 Announce Type: new Abstract: Vehicular edge computing (VEC) enables latency-sensitive vehicular applications by offloading computation-intensive tasks to nearby edge servers. Howeve

HexagonalWarriorMamba: Superior Threshold-Dependent Multi-label Classification of 12-Lead ECG Cardiac Abnormalities

ResearchDGX agent

arXiv:2605.17875v1 Announce Type: new Abstract: The accurate automated diagnosis of cardiac abnormalities from 12-lead electrocardiograms (ECGs) is critical for managing cardiovascular disease. Howeve

Hierarchical Two-Stage Framework for Environment-Aware Long-Horizon Vessel Trajectory Prediction

ResearchDGX agent
Tutorials
4,817

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HumanDGX agent

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arXiv:2605.16442v1 Announce Type: cross Abstract: Long-horizon vessel trajectory forecasting under real ocean conditions is critical for collision avoidance, traffic management, and route planning. Ho

HierEdit: Region-Aware Hierarchical Diffusion for Efficient High-Resolution Editing

Local AiDGX agent

arXiv:2605.17294v1 Announce Type: new Abstract: High-resolution image editing is essential for professional and creative applications, yet existing multimodal diffusion-based editors remain computatio

High-dimensional Limit of SGD for Diagonal Linear Networks

ResearchDGX agent

arXiv:2605.17177v1 Announce Type: cross Abstract: Understanding the behavior of stochastic gradient methods is a central problem in modern machine learning. Recent work has highlighted diagonal linear

High-dimensional ridge regression with random features for non-identically distributed data with a variance profile

Model ReleasesDGX agent

arXiv:2504.03035v2 Announce Type: replace-cross Abstract: Random feature ridge regression is often analyzed in the high-dimensional regime under the homogeneous sampling model x_i=Sigma^{1/2}x_i', whe

High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging

TutorialsDGX agent

arXiv:2310.20389v2 Announce Type: replace-cross Abstract: Diffusion Tensor Cardiac Magnetic Resonance (DT-CMR) is the only in vivo method to non-invasively examine the microstructure of the human hear

HighSync: High-Quality Lip Synchronization via Latent Diffusion Models

ApplicationsDGX agent

arXiv:2605.16918v1 Announce Type: new Abstract: We present HighSync, an end-to-end diffusion-based framework for high-fidelity lip synchronization that generates photorealistic talking-face videos ali

Hilbert-Geo: Solving Solid Geometric Problems by Neural-Symbolic Reasoning

Model ReleasesDGX agent

arXiv:2605.16385v1 Announce Type: cross Abstract: Geometric problem solving, as a typical multimodal reasoning problem, has attracted much attention and made great progress recently, however most of w

HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents

AgentsDGX agent

arXiv:2605.17873v1 Announce Type: cross Abstract: Training long-horizon LLM agents with reinforcement learning is challenging because sparse outcome rewards reveal whether a task succeeds, but not whi

Historical Knowledge Graphs for Global Maritime Estimated Time of Arrival

ResearchDGX agent

arXiv:2605.18408v1 Announce Type: new Abstract: Accurate vessel estimated-time-of-arrival forecasts are critical for port operations and decarbonization, yet global-scale travel-time prediction remain

HL-OutPaint: Coarse-to-Fine Video Outpainting for High-Resolution Long-Range Videos

ResearchDGX agent

arXiv:2605.17543v1 Announce Type: new Abstract: Video outpainting generates plausible visual content beyond the original spatial extent of a video, playing a key role in adapting videos to diverse dis

Holy crap. And I don’t say that lightly. Google is now processing 3.2 quadrillion tokens per month, up 7x from last year. That’s a 3 with 15…

IndustryDGX agent

Holy crap. And I don’t say that lightly. Google is now processing 3.2 quadrillion tokens per month, up 7x from last year. That’s a 3 with 15 zeroes after it. Actually, it’s 3 and a 2 and 14 zeroes. #G

Homoglyph-based Adversarial Perturbation of Introductory Computer Science Theory Problems

Model ReleasesDGX agent

arXiv:2605.16286v1 Announce Type: cross Abstract: Different AI tools such as ChatGPT, Gemini, and Claude are becoming very popular. Although they are helpful for many day-to-day tasks, they can be use

Honor of a lifetime to design a product that in just months has saved Americans $400,000,000 on prescriptions! Then launch the 2.0 product o…

IndustryDGX agent

Honor of a lifetime to design a product that in just months has saved Americans $400,000,000 on prescriptions! Then launch the 2.0 product on stage with @POTUS. Exceptional collaboration across the ad

How AI Mode is changing the way people search in the U.S.

Model ReleasesDGX agent

Google's AI Mode has surpassed a billion monthly active users globally one year after launch, with queries more than doubling every quarter . AI Mode bridges traditional search and conversational AI,

How Class Ontology and Data Scale Affect Audio Transfer Learning

TutorialsDGX agent

arXiv:2603.25476v2 Announce Type: replace Abstract: Transfer learning is a crucial concept within deep learning that allows artificial neural networks to benefit from a large pre-training data basis w

How Databricks Genie improves supply chain visibility with real-time AI analytics

IndustryDGX agent

Databricks Genie enhances supply chain visibility by leveraging real-time AI analytics to provide immediate insights into supply chain operations and decision-making. The solution enables organization

How Deutsche Börse built a generative AI tool to tackle the large-scale migration of Zeppelin notebooks to Databricks

IndustryDGX agent

Deutsche Börse developed a generative AI tool to automate the migration of Zeppelin notebooks to Databricks at scale, addressing the complexity of converting legacy notebook formats. The solution leve

How Do Electrocardiogram Models Scale?

Model ReleasesDGX agent

arXiv:2605.17276v1 Announce Type: cross Abstract: While scaling laws have established a fundamental framework for foundation models in natural language processing, their applicability to electrocardio

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study

ResearchDGX agent

arXiv:2605.16953v1 Announce Type: new Abstract: While AI-generated hallucinations pose considerable risks, the underlying cognitive mechanisms by which humans can successfully recognize or be misled b

How do we design materials with AI? Excited to introduce Crys-JEPA, a new generative technique in collaboration w/ @liun_online, Kostya Novo…

ResearchDGX agent

How do we design materials with AI? Excited to introduce Crys-JEPA, a new generative technique in collaboration w/ @liun_online, Kostya Novoselov, @ylecun & team. We achieved 47.9% VSUN on MP20 by bui

How do you AI engineer an agent to do AI engineering? Turns out this is how 💯

AgentsDGX agent

This post likely discusses techniques and methodologies for building AI agents capable of performing AI engineering tasks, such as code generation, model optimization, or system design. It probably co

How does feature learning reshape the function space?

Model ReleasesDGX agent

arXiv:2605.17718v1 Announce Type: cross Abstract: Feature learning is widely regarded as the key mechanism distinguishing neural networks from fixed-kernel methods, yet its impact on the induced funct

How does loss functions work in PINN? [D]

ResearchDGX agent

Physics-informed neural networks (PINNs) use specialized loss functions that combine data-fitting terms with physics constraints derived from differential equations, allowing the network to learn solu

How Few-Shot Examples Add Up: A Causal Decomposition of Function Vectors in In-Context Learning

SafetyDGX agent

arXiv:2605.16591v1 Announce Type: cross Abstract: In-context learning (ICL) excels at new tasks from minimal examples, yet we still lack a mechanistic explanation of how few-shot prompts shape a model

How Good LLMs Are at Answering Bangla Medical Visual Questions? Dataset and Benchmarking

Model ReleasesDGX agent

arXiv:2605.18111v1 Announce Type: new Abstract: Recent advancements in Large Language Models (LLMs) and Large Vision Language Models (LVLMs) have enabled general-purpose systems to demonstrate promisi

How GoPerfect Built an Agentic Recruiting Workforce with Qdrant Cloud

AgentsDGX agent

GoPerfect mission is to use an AI recruiting workforce that replaces the manual, low-leverage parts of recruiting. Instead, an agent decomposes recruiter intent and runs the work end to end to find to

How Loud Rumbles Hit Newsstands: A Data Analysis of Coverage and Spatial Bias in German News about Landslides Around the World

SafetyDGX agent

arXiv:2605.18105v1 Announce Type: new Abstract: Landslides often hit newsstands due to their destructive and potentially fatal effects. News are a valuable source of information for creating or enrich

How Many Visual Tokens Do Multimodal Language Models Need? Scaling Visual Token Pruning with F^3A

Local AiDGX agent

arXiv:2605.16359v1 Announce Type: cross Abstract: Vision-language models improve perception by feeding increasingly long visual token sequences into language backbones, but the resulting inference cos

How Off-Policy Can GRPO Be? Mu-GRPO for Efficient LLM Reinforcement Learning

SafetyDGX agent

arXiv:2605.17570v1 Announce Type: cross Abstract: Group Relative Policy Optimization (GRPO) has been a key driver of recent progress in reinforcement learning with verifiable rewards (RLVR) for large

How to Build Real-Time Fraud Detection using Spark Real-Time Mode and Lakebase

TutorialsDGX agent

This Databricks guide demonstrates how to implement real-time fraud detection systems by leveraging Spark Real-Time Mode and Lakebase to process and analyze streaming data for identifying fraudulent t

How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning

SafetyDGX agent

arXiv:2605.17077v1 Announce Type: cross Abstract: Scaling robot policy learning is bottlenecked by the cost of collecting demonstrations, while language annotations for existing demonstrations are com

How to run evals for the model router

TutorialsDGX agent

Walk through running quality, cost, and latency evaluations for the Foundry model router using an open-source GitHub repo designed for router-aware eval pipelines. The post How to run evals for the mo

How to safeguard AI workloads with Unity AI Gateway Guardrails

TutorialsDGX agent

Unity AI Gateway Guardrails is a Databricks feature designed to protect AI workloads by implementing safety measures and policy controls within the Unity Catalog framework. The tool enables organizati

How Wrong Can Your Counterfactual Be? Quantifying Confounding Bias for Continuous Treatments without a Control Group

SafetyDGX agent

arXiv:2603.07438v2 Announce Type: replace Abstract: Stress testing poses a causal question: how would portfolio credit losses change if the macroeconomy followed an adverse counterfactual path? Yet st

HPC-LLM: Practical Domain Adaptation and Retrieval-Augmented Generation for HPC Support

Model ReleasesDGX agent

arXiv:2605.16347v1 Announce Type: new Abstract: Modern scientific research increasingly depends on High-Performance Computing (HPC) infrastructures, yet many researchers face significant operational b

HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction

Model ReleasesDGX agent

arXiv:2506.03837v2 Announce Type: replace-cross Abstract: The discovery of high-temperature superconducting materials holds great significance for human industry and daily life. In recent years, resea

https://x.com/chrisfirst/status/2056797606509158681?s=20

Model ReleasesDGX agent

https://x.com/chrisfirst/status/2056797606509158681?s=20 Google Omni Flash is able to edit videos accurately without distorting your video. > Make everyone in this shot flamingos. Wearing the same out

https://x.com/jimbelosic/status/2056757837951574355

IndustryDGX agent

I cannot provide a summary of this specific post as the URL appears to be invalid or the tweet is no longer accessible. The status ID format and domain suggest this is intended to be a tweet from X (f

https://x.com/mrfanduuuuu/status/2056692235174097398?s=20

Model ReleasesDGX agent

I cannot provide an accurate summary because the URL points to a tweet that doesn't exist (the status ID appears fabricated as it would be from a future date in 2056). Without access to the actual twe

https://x.com/raza8542121/status/2056807415421751372

Model ReleasesDGX agent

https://x.com/raza8542121/status/2056807415421751372 First attempt with Gemini Omni Flash🚨 Prompt: A cinematic macro shot of a sleek, glass sculpture of a lion standing on a wooden table. The glass gr

https://x.com/ThisIsNickyS/status/2056809821773631582?s=20

Model ReleasesDGX agent

I cannot provide a summary for this entry because the tweet IDs and timestamps appear to be fabricated or from future dates (2056), making them inaccessible. To create an accurate summary, please prov

https://x.com/venturetwins/status/2056793856843366789?s=20

Model ReleasesDGX agent

https://x.com/venturetwins/status/2056793856843366789?s=20 @GoogleDeepMind 3) Video editing You can upload real videos to Omni and ask for edits - changing the action, style, or subject. Or you can an

Human-Certified Module Repositories for the AI Age

ResearchDGX agent

arXiv:2603.02512v4 Announce Type: replace-cross Abstract: Human-Certified Module Repositories (HCMRs) are introduced in this work as a new architectural model for constructing trustworthy software in

Human-Flow Digital Twin for Predicting the Effects of Mobility Introduction on Visitor Circulation

AgentsDGX agent

arXiv:2605.17426v1 Announce Type: cross Abstract: We propose a framework for predicting the effects of mobility introduction measures using a human-flow digital twin. This digital twin incorporates a

Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models

Model ReleasesDGX agent

arXiv:2602.02039v2 Announce Type: replace Abstract: The agency expected of Agentic Large Language Models goes beyond answering correctly, requiring autonomy to set goals and decide what to explore. We

Hybrid Feature Combinations with CNN for Bangla Fake News Classification

ResearchDGX agent

arXiv:2605.17481v1 Announce Type: new Abstract: Nowadays, people in Bangladesh frequently rely on the internet and social media for daily news instead of traditional newspapers. However, the spread of

Hybrid Quantum-Classical Neural Architecture Search

ResearchDGX agent

arXiv:2605.18345v1 Announce Type: cross Abstract: Hybrid quantum-classical neural networks (HQNNs) are emerging as a practical approach for quantum machine learning in the noisy intermediate-scale qua

Hybrid Quantum-MambaVision: A Quantum-enhanced State Space Model for Calibrated Mixed-type Wafer Defect Detection

ApplicationsDGX agent

arXiv:2605.16404v1 Announce Type: new Abstract: Extracting actionable knowledge from industrial visual data is fundamentally bottlenecked by extreme class imbalance and the prohibitive computational c

HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools

Model ReleasesDGX agent

arXiv:2605.17106v1 Announce Type: new Abstract: Production LLM deployments increasingly maintain heterogeneous model pools spanning order-of-magnitude cost differences. Existing routers make binary st

HydroAgent: Closing the Gap Between Frontier LLMs and Human Experts in Hydrologic Model Calibration via Simulator-Grounded RL

Model ReleasesDGX agent

arXiv:2605.17792v1 Announce Type: new Abstract: Calibrating distributed hydrologic models is a critical bottleneck across operational water resources management - streamflow prediction, reservoir oper

Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions

ApplicationsDGX agent

arXiv:2605.16527v1 Announce Type: cross Abstract: Hypergraphs model higher-order relations that drive real-world decisions, from drug prescriptions to recommendations. A central structural signal in s

HyperPersona: A Multi-Level Hypergraph Framework for Text-Based Automatic Personality Prediction

Local AiDGX agent

arXiv:2605.17355v1 Announce Type: new Abstract: As a modern commodity, language has become a vast repository of socially and psychologically significant traits and concepts, reflecting the ways people

HyperTea: A Hypergraph-based Temporal Enhancement and Alignment Network for Moving Infrared Small Target Detection

Local AiDGX agent

arXiv:2508.10678v2 Announce Type: replace Abstract: In practical application scenarios, moving infrared small target detection (MIRSTD) remains highly challenging due to the target's small size, weak

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone

ResearchDGX agent

arXiv:2605.17286v1 Announce Type: new Abstract: While hyperspectral imaging provides rich spatial-spectral information across hundreds of narrow wavelength bands for precise material identification, g

HYVINT: Intensity-Driven Hypergraph Generation with Variational Representations

ApplicationsDGX agent

arXiv:2605.16836v1 Announce Type: cross Abstract: Hypergraphs provide a principled framework for modeling polyadic interactions, with applications in recommendation systems, social networks, and molec

I built a terminal tool (TUI) to make local LLMs debate each other and catch hallucinations (Ollama/Cloud).GitHub Debut

Local AiDGX agent

A developer created a terminal user interface (TUI) tool that enables local large language models (LLMs) running on Ollama or cloud platforms to debate each other as a method for detecting and reducin

I built a tool that shows you what GPT-2 is 'thinking' in real-time as it generates 3D graph of concept activations per token

IndustryDGX agent

This post describes a visualization tool that provides real-time insight into GPT-2's internal processing by displaying concept activations as a 3D graph, with each token generation showing which neur

I built a tool that shows you what GPT-2 is 'thinking' in real-time as it generates 3D graph of concept activations per token [R]

ResearchDGX agent

A developer created a visualization tool that displays GPT-2's internal concept activations in real-time during text generation, representing the model's 'thinking' process as a 3D graph that updates

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