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  • All entries125,137
  • Agents10,465
  • Applications7,094
  • Companies3
  • Concepts7
  • Hardware2,731
  • Industry6,792
  • Local Ai6,928
  • Model Releases35,970
  • Research29,269
  • Safety19,341
  • Syntheses31
  • Tools1,777
  • Tutorials4,729

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23 Apr 2026

Elon Musk says Tesla plans to use Intel's 14A process technology to make chips at its Terafab project, which would make Tesla the first major customer for 14A (Reuters)

ApplicationsDGX agent

Reuters: Elon Musk says Tesla plans to use Intel's 14A process technology to make chips at its Terafab project, which would make Tesla the first major customer for 14A — Tesla (TSLA.O) CEO Elon Musk s

Energy-Based Open-Set Active Learning for Object Classification

ApplicationsDGX agent

arXiv:2604.20083v1 Announce Type: cross Abstract: Active learning (AL) has emerged as a crucial methodology for minimizing labeling costs in deep learning by selecting the most valuable samples from a

Enterprises are leaving major AI customer experience gains on the table

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Enterprises are investing heavily in AI customer experience, but many experiments are stalling out before ever going live. The culprit is a confidence gap, according to Chris Mina (pictured), chief pr

Explainability in Generative Medical Diffusion Models: A Faithfulness-Based Analysis on MRI Synthesis

ApplicationsDGX agent

arXiv:2602.09781v2 Announce Type: replace-cross Abstract: This study investigates the explainability of generative diffusion models in the context of medical imaging, focusing on Magnetic resonance im

Federated Learning over Blockchain-Enabled Cloud Infrastructure

ApplicationsDGX agent

arXiv:2604.20062v1 Announce Type: new Abstract: The rise of IoT devices and the uptake of cloud computing have informed a new era of data-driven intelligence. Traditional centralized machine learning

From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context

ApplicationsDGX agent

arXiv:2508.07117v3 Announce Type: replace Abstract: Graph Neural Networks (GNNs) have emerged as powerful tools for learning over structured data, including text-attributed graphs (TAGs), which are co

From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation

ApplicationsDGX agent

arXiv:2511.19176v3 Announce Type: replace Abstract: Recipe recommendation has become an essential task in web-based food platforms. A central challenge is effectively leveraging rich multimodal featur

Healthcare AI succeeds or fails on the strength of its data foundation

ApplicationsDGX agent

Healthcare has long operated in data silos — payers, providers and patients each holding fragmented pieces of the same clinical story. That fragmentation, once accepted as the cost of doing business,

Heterogeneous Layered Structures Can Modulate Human Softness Perception

ApplicationsDGX agent

arXiv:2604.20092v1 Announce Type: cross Abstract: Human softness perception in haptics has mainly been studied using mechanically homogeneous objects, despite the fact that many real-world objects exh

Human-like Content Analysis for Generative AI with Language-Grounded Sparse Encoders

ApplicationsDGX agent

arXiv:2508.18236v4 Announce Type: replace Abstract: The rapid development of generative AI has transformed content creation, communication, and human development. However, this technology raises profo

I didn't specify which Bathers, so can't quite tell if this is one of the 200+ Cezanne painted or a Fauvist reaction or some sort of amalgam…

ApplicationsDGX agent

This post by Ethan Mollick discusses uncertainty about identifying a specific 'Bathers' artwork, noting the ambiguity of whether it references one of Cézanne's 200+ paintings on the subject, a Fauvist

If you're interested in production doc parsing, come check out LlamaParse: https://cloud.llamaindex.ai/

ApplicationsDGX agent

LlamaParse is a document parsing tool offered by LlamaIndex that specializes in extracting and processing information from production documents. The tool appears designed to handle complex document fo

Improving Large-Scale Recommender Systems with Auxiliary Learning

ApplicationsDGX agent

arXiv:2510.02215v3 Announce Type: replace Abstract: Training large-scale recommendation models under a single global objective implicitly assumes homogeneity across user populations. However, real-wor

Internal memo: Amazon is replacing white-collar job titles at its Ring and Blink units with the designation 'builder', and 'builder leaders' for managers (Greg Bensinger/Reuters)

ApplicationsDGX agent

Greg Bensinger / Reuters: Internal memo: Amazon is replacing white-collar job titles at its Ring and Blink units with the designation “builder”, and “builder leaders” for managers — During Amazon's (A

Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments

ApplicationsDGX agent

arXiv:2511.17069v3 Announce Type: replace Abstract: AI-driven automated scoring systems offer scalable and efficient means of evaluating complex student-generated responses. Yet, despite increasing de

JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy

ApplicationsDGX agent

arXiv:2604.20100v1 Announce Type: new Abstract: Robotic autonomy in open-world environments is fundamentally limited by insufficient data diversity and poor cross-embodiment generalization. Existing r

Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation

ApplicationsDGX agent

arXiv:2411.16719v4 Announce Type: replace Abstract: Domain randomization through synthesis is a powerful strategy to train networks that are unbiased with respect to the domain of the input images. Ra

Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots

ApplicationsDGX agent

arXiv:2408.07295v4 Announce Type: replace-cross Abstract: A major challenge in humanoid robotics is designing a unified interface for commanding diverse whole-body behaviors, from precise footstep seq

Learning to Solve the Quadratic Assignment Problem with Warm-Started MCMC Finetuning

ApplicationsDGX agent

arXiv:2604.20109v1 Announce Type: cross Abstract: The quadratic assignment problem (QAP) is a fundamental NP-hard task that poses significant challenges for both traditional heuristics and modern lear

LTX just dropped an HDR IC-LoRA beta: EXR output, built for production pipelines

ApplicationsDGX agent

LTX released an HDR IC-LoRA beta that enables precise control over video generation by transferring structure and motion from reference videos, supporting features like EXR output for professional wor

Manila-based Salmon, a consumer finance app targeting underbanked Filipinos, raised 60M in equity and 40M in debt; it raised 310M to date, 160M in equity (Kate Park/TechCrunch)

ApplicationsDGX agent

Kate Park / TechCrunch: Manila-based Salmon, a consumer finance app targeting underbanked Filipinos, raised 60M in equity and 40M in debt; it raised 310M to date, 160M in equity — The Philippines has

Meta Additive Model: Interpretable Sparse Learning With Auto Weighting

ApplicationsDGX agent

arXiv:2604.20111v1 Announce Type: cross Abstract: Sparse additive models have attracted much attention in high-dimensional data analysis due to their flexible representation and strong interpretabilit

No More Marching: Learning Humanoid Locomotion for Short-Range SE(2) Targets

ApplicationsDGX agent

arXiv:2508.14098v2 Announce Type: replace-cross Abstract: Humanoids operating in real-world workspaces must frequently execute task-driven, short-range movements to SE(2) target poses. To be practical

Omni, which is building a 'semantic translation layer' for enterprise data, raised a 120M Series C led by Iconiq at a 1.5B valuation, up from $650M in 2025 (Lily Mae Lazarus/Fortune)

ApplicationsDGX agent

Lily Mae Lazarus / Fortune: Omni, which is building a “semantic translation layer” for enterprise data, raised a 120M Series C led by Iconiq at a 1.5B valuation, up from $650M in 2025 — For years, com

On-Meter Graph Machine Learning: A Case Study of PV Power Forecasting for Grid Edge Intelligence

ApplicationsDGX agent

arXiv:2604.19800v1 Announce Type: cross Abstract: This paper presents a detailed study of how graph neural networks can be used on edge intelligent meters in a microgrid to forecast photovoltaic power

One change over the last six months is that in every big company I talk, at least a few senior people absolutely get AI — they experiment (a…

ApplicationsDGX agent

One change over the last six months is that in every big company I talk, at least a few senior people absolutely get AI — they experiment (a lot of OpenClaw, surprisingly) & they have an intuitive sen

Our newest voice model is 20+ points ahead of the nearest competitor on Sierra's leaderboard. Pretty massive upgrade from our OG model from …

ApplicationsDGX agent

Our newest voice model is 20+ points ahead of the nearest competitor on Sierra's leaderboard. Pretty massive upgrade from our OG model from December, with significantly improved realism and tool calli

Overcoming the Modality Gap in Context-Aided Forecasting

ApplicationsDGX agent

arXiv:2603.12451v3 Announce Type: replace Abstract: Context-aided forecasting (CAF) holds promise for integrating domain knowledge and forward-looking information, enabling AI systems to surpass tradi

Physics-informed Active Polarimetric 3D Imaging for Specular Surfaces

ApplicationsDGX agent

arXiv:2602.19470v2 Announce Type: replace Abstract: 3D imaging of specular surfaces remains challenging in real-world scenarios, such as in-line inspection or hand-held scanning, requiring fast and ac

Quantum Adaptive Self-Attention for Quantum Transformer Models

ApplicationsDGX agent

arXiv:2504.05336v3 Announce Type: replace-cross Abstract: Integrating quantum computing into deep learning architectures is a promising but poorly understood endeavor: when does a quantum layer actual

RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings

ApplicationsDGX agent

arXiv:2604.20256v1 Announce Type: new Abstract: A common strategy in transfer learning is few shot fine-tuning, but its success is highly dependent on the quality of samples selected as training examp

running 3 async deepagents in parallel for real time investigation for manufacturing plant downtime. I believe these are the most capable ag…

ApplicationsDGX agent

running 3 async deepagents in parallel for real time investigation for manufacturing plant downtime. I believe these are the most capable agents in the world right now @LangChain @hwchase17 @lguaman.

Scalable AI Inference: Performance Analysis and Optimization of AI Model Serving

ApplicationsDGX agent

arXiv:2604.20420v1 Announce Type: cross Abstract: AI research often emphasizes model design and algorithmic performance, while deployment and inference remain comparatively underexplored despite being

Seeing Further and Wider: Joint Spatio-Temporal Enlargement for Micro-Video Popularity Prediction

ApplicationsDGX agent

arXiv:2604.20311v1 Announce Type: cross Abstract: Micro-video popularity prediction (MVPP) aims to forecast the future popularity of videos on online media, which is essential for applications such as

Semantic-guided Gaussian Splatting for High-Fidelity Underwater Scene Reconstruction

ApplicationsDGX agent

arXiv:2509.00800v3 Announce Type: replace Abstract: Accurate 3D reconstruction in degraded imaging conditions remains a key challenge in photogrammetry and neural rendering. In underwater environments

SpaceX's S-1 excerpts list 'manufacturing our own GPUs' among the 'substantial capital expenditures' it is undertaking, with the size of the expenditure TBD (Reuters)

ApplicationsDGX agent

Reuters: SpaceX's S-1 excerpts list “manufacturing our own GPUs” among the “substantial capital expenditures” it is undertaking, with the size of the expenditure TBD — SpaceX may be tackling one of th

Stateless Decision Memory for Enterprise AI Agents

ApplicationsDGX agent

arXiv:2604.20158v1 Announce Type: new Abstract: Enterprise deployment of long-horizon decision agents in regulated domains (underwriting, claims adjudication, tax examination) is dominated by retrieva

Structured Disagreement in Health-Literacy Annotation: Epistemic Stability, Conceptual Difficulty, and Agreement-Stratified Inference

ApplicationsDGX agent

arXiv:2604.19943v1 Announce Type: new Abstract: Annotation pipelines in Natural Language Processing (NLP) commonly assume a single latent ground truth per instance and resolve disagreement through lab

Surrogate modeling for interpreting black-box LLMs in medical predictions

ApplicationsDGX agent

arXiv:2604.20331v1 Announce Type: cross Abstract: Large language models (LLMs), trained on vast datasets, encode extensive real-world knowledge within their parameters, yet their black-box nature obsc

Synthetic Flight Data Generation Using Generative Models

ApplicationsDGX agent

arXiv:2604.20293v1 Announce Type: new Abstract: The increasing adoption of synthetic data in aviation research offers a promising solution to data scarcity and confidentiality challenges. This study i

Think fast!

ApplicationsDGX agent

Think fast! Introducing Grok Voice Think Fast 1.0 A state-of-the-art voice model built for complex, multi-step workflows with snappy responses and high accuracy. It takes the top spot on the Tau Voice

Three insights you might have missed from theCUBE’s coverage of HPE World Quantum Day

ApplicationsDGX agent

Quantum computing, artificial intelligence and high-performance computing will play complementary roles in driving the next era of technology innovation. That is, if the industry can figure out a way

Towards Certified Unlearning for Deep Neural Networks

ApplicationsDGX agent

arXiv:2408.00920v4 Announce Type: replace Abstract: In the field of machine unlearning, certified unlearning has been extensively studied in convex machine learning models due to its high efficiency a

Towards reconstructing experimental sparse-view X-ray CT data with diffusion models

ApplicationsDGX agent

arXiv:2602.12755v2 Announce Type: replace Abstract: Diffusion-based image generators are promising priors for ill-posed inverse problems like sparse-view X-ray Computed Tomography (CT). As most studie

TSMC says it will hold off on using ASML's most advanced high-NA EUV machines, costing upwards of €350M apiece, for chip production through 2029 to save money (Bloomberg)

ApplicationsDGX agent

Bloomberg: TSMC says it will hold off on using ASML's most advanced high-NA EUV machines, costing upwards of €350M apiece, for chip production through 2029 to save money — Taiwan Semiconductor Manufac

TSMC SVP Kevin Zhang says the company plans to open an advanced chip packaging plant in Arizona by 2029 and that construction has begun (Reuters)

ApplicationsDGX agent

Reuters: TSMC SVP Kevin Zhang says the company plans to open an advanced chip packaging plant in Arizona by 2029 and that construction has begun — Taiwan Semiconductor Manufacturing Co (2330.TW) plans

TSMC unveils its process technology roadmap through 2029, aiming to launch a new node yearly for client applications and every two years for AI and HPC (Anton Shilov/Tom's Hardware)

ApplicationsDGX agent

Anton Shilov / Tom's Hardware: TSMC unveils its process technology roadmap through 2029, aiming to launch a new node yearly for client applications and every two years for AI and HPC — Still no High-N

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection

ApplicationsDGX agent

arXiv:2603.26842v2 Announce Type: replace-cross Abstract: Time series anomaly detection (TSAD) is essential for maintaining the reliability and security of IoT-enabled service systems. Existing method

VTouch++: A Multimodal Dataset with Vision-Based Tactile Enhancement for Bimanual Manipulation

ApplicationsDGX agent

arXiv:2604.20444v1 Announce Type: cross Abstract: Embodied intelligence has advanced rapidly in recent years; however, bimanual manipulation-especially in contact-rich tasks remains challenging. This

Wan-Image: Pushing the Boundaries of Generative Visual Intelligence

ApplicationsDGX agent

arXiv:2604.19858v1 Announce Type: new Abstract: We present Wan-Image, a unified visual generation system explicitly engineered to paradigm-shift image generation models from casual synthesizers into p

What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization

ApplicationsDGX agent

arXiv:2601.17609v2 Announce Type: replace Abstract: In domains like medicine and finance, large-scale labeled data is costly and often unavailable, leading to models trained on small datasets that str

Wow these are terrible replies. So many Elara Vances (sorry couple of real humans)

ApplicationsDGX agent

The post appears to be a critical observation about poor-quality responses, possibly referring to multiple instances of an AI character or persona named 'Elara Vance' appearing in generated content, w

22 Apr 2026

A Bolu: A Structured Dataset for the Computational Analysis of Sardinian Improvisational Poetry

ApplicationsDGX agent

arXiv:2604.19584v1 Announce Type: new Abstract: The growing interest of Natural Language Processing (NLP) in minority languages has not yet bridged the gap in the preservation of oral linguistic herit

A South Korean court sentences a former Samsung researcher to seven years in prison for leaking semiconductor tech to China's CXMT, helping it develop HBM (Reuters)

ApplicationsDGX agent

Reuters: A South Korean court sentences a former Samsung researcher to seven years in prison for leaking semiconductor tech to China's CXMT, helping it develop HBM — A South Korean court said on Wedne

Adaptive MSD-Splitting: Enhancing C4.5 and Random Forests for Skewed Continuous Attributes

ApplicationsDGX agent

arXiv:2604.19722v1 Announce Type: cross Abstract: The discretization of continuous numerical attributes remains a persistent computational bottleneck in the induction of decision trees, particularly a

AI needs a strong data fabric to deliver business value

ApplicationsDGX agent

Artificial intelligence is moving quickly in the enterprise, from experimentation to everyday use. Organizations are deploying copilots, agents, and predictive systems across finance, supply chains, h

Also agree with this. AI's ability to do consistent pacing is a problem. Here, the poem anchors enough of the comic that it is okay, but sta…

ApplicationsDGX agent

Also agree with this. AI's ability to do consistent pacing is a problem. Here, the poem anchors enough of the comic that it is okay, but static, though with a few good moments. But fiction writing and

An advantage of the humanities — of reading & seeing a wide range of great works from many perspectives & cultures — is that you develop you…

ApplicationsDGX agent

An advantage of the humanities — of reading & seeing a wide range of great works from many perspectives & cultures — is that you develop your sense of taste. In a world where anyone can produce a floo

As everyone knows, the internet has millions of images of art galleries filled with paintings of otters sitting on airplanes, which is the o…

ApplicationsDGX agent

As everyone knows, the internet has millions of images of art galleries filled with paintings of otters sitting on airplanes, which is the only reason these stochastic parrot AIs can produce outputs l

AutoAdapt: Automated domain adaptation for large language models

ApplicationsDGX agent

Deploying large language models (LLMs) in real-world, high-stakes settings is harder than it should be. In high-stakes settings like law, medicine, and cloud incident response, performance and reliabi

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