Search: “models”

Anatomy-Aware Text-Visual Fusion with Dual-Perspective Prompts for Fine-Grained Lumbar Spine Segmentation

arXiv:2504.03476v2 Announce Type: replace Abstract: Accurate lumbar spine segmentation is crucial for diagnosing spinal disorders. Existing methods typically use coarse-grained segmentation strategies

researcharxiv-cs-cv

Content type

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Industry

And the more distributed and open-source AI will be, the more jobs and wealth it will create!

DGX agent

And the more distributed and open-source AI will be, the more jobs and wealth it will create! I have changed my mind on how AI will impact jobs in America. Previously, I believed AI would replace many

industryclem-delangue--x

24 Apr 2026

Tutorials

Architecture of an AI-Based Automated Course of Action Generation System for Military Operations

arXiv:2604.20862v1 Announce Type: new Abstract: The automation system for Course of Action (CoA) planning is an essential element in future warfare. As maneuver speeds increase, surveillance ranges ex

tutorialsarxiv-cs-ai

Association Is Not Similarity: Learning Corpus-Specific Associations for Multi-Hop Retrieval

arXiv:2604.20850v1 Announce Type: cross Abstract: Dense retrieval systems rank passages by embedding similarity to a query, but multi-hop questions require passages that are associatively related thro

hardwarearxiv-cs-ai

b8909

b8909 is an intermediate build release of llama.cpp, reflecting the project's practice of publishing multiple releases in a single day . llama.cpp is a C/C++ implementation enabling LLM inference with

b8913

b8913 is a release of llama.cpp, a C/C++ implementation for LLM inference . The release follows the project's rapid development cycle where multiple releases are published in a single day . This speci

b8918

The search results don't contain specific details about release b8918. Based on the context from the source and other release information found, b8918 is an intermediate build version of llama.cpp, th

b8922

The search did not return specific information about the b8922 release. Based on the available information about llama.cpp's release cycle and naming convention, b8922 is an intermediate build release

Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions

arXiv:2604.21849v1 Announce Type: cross Abstract: Bayesian Optimal Experimental Design (BOED) provides a rigorous framework for decision-making tasks in which data acquisition is often the critical bo

Biomedical systems biology workflow orchestration and execution with PoSyMed

arXiv:2604.20906v1 Announce Type: cross Abstract: The rapid growth of scientific software has created practical barriers for bioinformatics research. Although powerful statistical, artificial intellig

agentsarxiv-cs-ai

Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation

arXiv:2604.21854v1 Announce Type: new Abstract: Artificial intelligence now decides who receives a loan, who is flagged for criminal investigation, and whether an autonomous vehicle brakes in time. Go

Tools

btw the hot skills of today become the posttrain targets of tomorrow

Skills that are currently in high demand in tech tend to become the focus of formal training and educational programs in the future, as the market evolves and best practices are codified. This reflect

toolsswyx--x

CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction

arXiv:2604.21573v1 Announce Type: new Abstract: Spatial transcriptomics (ST) enables spatially resolved gene profiling but remains expensive and low-throughput, limiting large-cohort studies and routi

safetyarxiv-cs-cv

Cosmological Analysis with Calibrated Neural Quantile Estimation and Approximate Simulators

arXiv:2411.14748v2 Announce Type: replace-cross Abstract: A major challenge in extracting information from current and upcoming surveys of cosmological Large-Scale Structure (LSS) is the limited avail

DDN and Google Cloud are redefining AI storage infrastructure for the agentic era

As enterprises pivot from AI experimentation to production deployment, AI storage infrastructure is emerging as the critical bottleneck determining whether massive chip investments deliver real return

hardwaresiliconangle

Deep Interest Mining with Cross-Modal Alignment for SemanticID Generation in Generative Recommendation

arXiv:2604.20861v1 Announce Type: cross Abstract: Generative Recommendation (GR) has demonstrated remarkable performance in next-token prediction paradigms, which relies on Semantic IDs (SIDs) to comp

DeepAgents - it’s all you need - batteries included if you want, but all the hooks you need to adjust to your needs

DeepAgents is a framework or tool that provides comprehensive, ready-to-use components for building AI agents while maintaining flexibility for customization. The 'batteries included' approach suggest

agentsharrison-chase--x

Differentially Private De-identification of Dutch Clinical Notes: A Comparative Evaluation

arXiv:2604.21421v1 Announce Type: cross Abstract: Protecting patient privacy in clinical narratives is essential for enabling secondary use of healthcare data under regulations such as GDPR and HIPAA.

applicationsarxiv-cs-ai

Do Masked Autoencoders Improve Downhole Prediction? An Empirical Study on Real Well Drilling Data

arXiv:2604.20909v1 Announce Type: new Abstract: Downhole drilling telemetry presents a fundamental labeling asymmetry: surface sensor data are generated continuously at 1~Hz, while labeled downhole me

Doubly Saturated Ramsey Graphs: A Case Study in Computer-Assisted Mathematical Discovery

arXiv:2604.21187v1 Announce Type: cross Abstract: Ramsey-good graphs are graphs that contain neither a clique of size s nor an independent set of size t. We study doubly saturated Ramsey-good graphs,

applicationsarxiv-cs-ai

Enabling and Inhibitory Pathways of University Students' Willingness to Disclose AI Use: A Cognition-Affect-Conation Perspective

arXiv:2604.21733v1 Announce Type: new Abstract: The increasing integration of artificial intelligence (AI) in higher education has raised important questions regarding students' transparency in report

Equity Bias: An Ethical Framework for AI Design

arXiv:2604.21907v1 Announce Type: cross Abstract: Equity Bias is a philosophical and practical framework for building smarter, more equitable AI systems. Grounded in hermeneutic philosophy and epistem

Even More Guarantees for Variational Inference in the Presence of Symmetries

arXiv:2604.21407v1 Announce Type: new Abstract: When approximating an intractable density via variational inference (VI) the variational family is typically chosen as a simple parametric family that v

everyones gonna be here!

everyones gonna be here! I’ll be in San Francisco from May 9-16 for @LangChain Interrupt 🦜 If you’re around, DM me, I’d love to chat about applied AI, agents, and running agentic systems in production

agentsharrison-chase--x

FCC: Router ban includes portable hotspots, but not phones with hotspot features

The FCC has expanded its foreign-made router ban to also cover consumer Wi-Fi hotspots and LTE/5G home-internet devices, though existing products and phones with hotspot features are not affected. Cel

industryars-technica

From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges

arXiv:2604.21391v1 Announce Type: cross Abstract: Bridging high-level semantic understanding with low-level physical control remains a persistent challenge in embodied intelligence, stemming from the

local-aiarxiv-cs-ai

FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment

arXiv:2604.21321v1 Announce Type: new Abstract: Monitoring frying oil degradation is critical for food safety, yet current practice relies on destructive wet-chemistry assays that provide no spatial i

safetyarxiv-cs-cv

Gmd: Gaussian mixture descriptor for pair matching of 3D fragments

arXiv:2604.21519v1 Announce Type: new Abstract: In the automatic reassembly of fragments acquired using laser scanners to reconstruct objects, a crucial step is the matching of fractured surfaces. In

local-aiarxiv-cs-cv

Tutorials

Graph Neural Network-Informed Predictive Flows for Faster Ford-Fulkerson and PAC-Learnability

arXiv:2604.21175v1 Announce Type: new Abstract: We propose a learning-augmented framework for accelerating max-flow computation and image segmentation by integrating Graph Neural Networks (GNNs) with

tutorialsarxiv-cs-lg

GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA

arXiv:2604.21290v1 Announce Type: new Abstract: Vision Graph Neural Networks (ViGs) represent an image as a graph of patch tokens, enabling adaptive, feature-driven neighborhoods. Unlike CNNs with fix

hardwarearxiv-cs-cv

GSpaRC: Gaussian Splatting for Real-time Reconstruction of RF Channels

arXiv:2511.22793v2 Announce Type: replace Abstract: Channel state information (CSI) is essential for adaptive beamforming and maintaining robust links in wireless communication systems. However, acqui

hardwarearxiv-cs-lg

H-EFT-VA: An Effective-Field-Theory Variational Ansatz with Provable Barren Plateau Avoidance

arXiv:2601.10479v2 Announce Type: replace-cross Abstract: Variational Quantum Algorithms (VQAs) are critically threatened by the Barren Plateau (BP) phenomenon. In this work, we introduce the H-EFT Va

local-aiarxiv-cs-lg

Human Presence Detection via Wi-Fi Range-Filtered Doppler Spectrum on Commodity Laptops

arXiv:2603.10845v3 Announce Type: replace-cross Abstract: Human Presence Detection (HPD) is key to enable intelligent power management and security features in everyday devices. In this paper we propo

researcharxiv-cs-ai

Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization

arXiv:2604.21567v1 Announce Type: cross Abstract: Supply chain resilience and efficiency are vital in industries characterized by volatile demand and uncertain supply, such as textiles and personal pr

applicationsarxiv-cs-ai

I'm always baffled how most investors seem to obsess over top revenue growth numbers these days and seem to take that as a universal predict…

I'm always baffled how most investors seem to obsess over top revenue growth numbers these days and seem to take that as a universal prediction of future success in AI. Maybe we're finally starting to

industryclem-delangue--x

Improving Clinical Diagnosis with Counterfactual Multi-Agent Reasoning

arXiv:2603.27820v2 Announce Type: replace Abstract: Clinical diagnosis is a complex reasoning process in which clinicians gather evidence, form hypotheses, and test them against alternative explanatio

agentsarxiv-cs-cl

India's central bank cancels Paytm Payments Bank's banking license, after imposing business curbs over non-compliance with rules in January 2024 (Gopika Gopakumar/Reuters)

Gopika Gopakumar / Reuters: India's central bank cancels Paytm Payments Bank's banking license, after imposing business curbs over non-compliance with rules in January 2024 — India's central bank said

industrytechmeme

LangSmith for Startups Spotlight: @AdaptiveBuilds Adaptive is the AI-native project accounting platform built for construction. They embed A…

applicationsharrison-chase--x

LangSmith for Startups Spotlight: @AdaptiveBuilds Adaptive is the AI-native project accounting platform built for construction. They embed AI agents directly into job costing, billing, and forecasting

Lawmakers and lobbyists say the Trump administration has lobbied against legislation that would regulate AI in at least six Republican-led states (Amrith Ramkumar/Wall Street Journal)

Amrith Ramkumar / Wall Street Journal: Lawmakers and lobbyists say the Trump administration has lobbied against legislation that would regulate AI in at least six Republican-led states — ‘I am disappo

safetytechmeme

Local Neighborhood Instability in Parametric Projections: Quantitative and Visual Analysis

arXiv:2604.21617v1 Announce Type: new Abstract: Parametric projections let analysts embed new points in real time, but input variations from measurement noise or data drift can produce unpredictable s

safetyarxiv-cs-cv

Micro-DualNet: Dual-Path Spatio-Temporal Network for Micro-Action Recognition

arXiv:2604.21011v1 Announce Type: new Abstract: Micro-actions are subtle, localized movements lasting 1-3 seconds such as scratching one's head or tapping fingers. Such subtle actions are essential fo

researcharxiv-cs-cv

Misinformation Span Detection in Videos via Audio Transcripts

arXiv:2604.21767v1 Announce Type: new Abstract: Online misinformation is one of the most challenging issues lately, yielding severe consequences, including political polarization, attacks on democracy

researcharxiv-cs-cl

Not bad

Not bad I tested the same prompt on both Grok 4.3 and GPT 5.5: “Count to 10 starting from 11” ChatGPT 5.5 gave the obvious 11–20 Grok 4.3 gave 11, 10 and explained why going backwards was the only log

industryelon-musk--x

over 1.2 million AI apps on Hugging Face the biggest AI app store probably

Hugging Face has surpassed 1.2 million AI applications on its platform, establishing it as the largest AI app store. The milestone reflects the rapid growth of accessible AI development tools and the

researchdavid-ha--x

Participation and Representation in Local Government Speech

arXiv:2604.21202v1 Announce Type: cross Abstract: Local government meetings are the most common formal channel through which residents speak directly with elected officials, contest policies, and shap

safetyarxiv-cs-cl

Post-AGI Economies: Autonomy and the First Fundamental Theorem of Welfare Economics

arXiv:2604.21216v1 Announce Type: cross Abstract: The First Fundamental Theorem of Welfare Economics assumes that welfare-bearing agents are autonomous and implicitly relies on a binary distinction be

agentsarxiv-cs-ai

Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation

arXiv:2604.21556v1 Announce Type: new Abstract: The problem of probabilistic verification of a neural network investigates the probability of satisfying the safe constraints in the output space when t