Search: “industry”

Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems

model-releasesarxiv-cs-lg

arXiv:2604.18351v1 Announce Type: cross Abstract: Recommender systems have advanced markedly over the past decade by transforming each user/item into a dense embedding vector with deep learning models

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Applications

Deep Hierarchical Knowledge Loss for Fault Intensity Diagnosis

DGX agent

arXiv:2604.16459v1 Announce Type: cross Abstract: Fault intensity diagnosis (FID) plays a pivotal role in intelligent manufacturing while neglecting dependencies among target classes hinders its pract

applicationsarxiv-cs-cv

21 Apr 2026

do not miss. one of the INSANE gets courtesy of @osanseviero and the @GoogleDeepMind london avengers. if you always felt out of the loop on …

do not miss. one of the INSANE gets courtesy of @osanseviero and the @GoogleDeepMind london avengers. if you always felt out of the loop on the SOTA on Imagegen, today or otherwise, this is the best 4

toolsswyx--x

Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM

arXiv:2604.17233v1 Announce Type: new Abstract: Personalized image aesthetics assessment (PIAA) aims to predict an individual user's subjective rating of an image, which requires modeling user-specifi

researcharxiv-cs-cv

'Faithful to What?' On the Limits of Fidelity-Based Explanations

arXiv:2506.12176v5 Announce Type: replace Abstract: In explainable AI, surrogate models are commonly evaluated by their fidelity to a neural network's predictions. Fidelity, however, measures alignmen

Local Ai

Fringe Projection Based Vision Pipeline for Autonomous Hard Drive Disassembly

arXiv:2604.17231v1 Announce Type: new Abstract: Unrecovered e-waste represents a significant economic loss. Hard disk drives (HDDs) comprise a valuable e-waste stream necessitating robotic disassembly

local-aiarxiv-cs-cv

Local Ai

Mira-Embeddings-V1: Domain-Adapted Semantic Reranking for Recruitment via LLM-Synthesized Data

arXiv:2604.17738v1 Announce Type: new Abstract: Candidate sourcing for recruiters is best viewed as a two-stage retrieval and reranking pipeline with recall as the primary objective under a limited re

local-aiarxiv-cs-cl

Tutorials

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations

arXiv:2604.18146v1 Announce Type: cross Abstract: Recently, large language models (LLMs) have advanced recommendation systems (RSs), and recent works have begun to explore how to integrate LLMs into i

tutorialsarxiv-cs-cl

Neural Adjoint Method for Meta-optics: Accelerating Volumetric Inverse Design via Fourier Neural Operators

arXiv:2604.17425v1 Announce Type: new Abstract: Meta-optics promises compact, high-performance imaging and color routing. However, designing high-performance structures is a high-dimensional optimizat

researcharxiv-cs-lg

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation

arXiv:2604.16310v1 Announce Type: cross Abstract: Evaluating Retrieval-Augmented Generation (RAG) systems using static multi-turn datasets fails to capture the dynamic nature of real-world dialogues.

applicationsarxiv-cs-cl

Agents

Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding

arXiv:2510.15253v3 Announce Type: replace Abstract: Document understanding is critical for applications from financial analysis to scientific discovery. Current approaches, whether OCR-based pipelines

agentsarxiv-cs-cl

Style-Based Neural Architectures for Real-Time Weather Classification

arXiv:2604.18251v1 Announce Type: new Abstract: In this paper, we present three neural network architectures designed for real-time classification of weather conditions (sunny, rain, snow, fog) from i

researcharxiv-cs-cv

Why AI Readiness Is an Organizational Learning Problem, Not a Technology Purchase

arXiv:2604.16369v1 Announce Type: cross Abstract: Global corporate AI investment reached $252.3 billion in 2024, yet only 6% of firms report significant earnings impact. This article argues that AI pr

safetyarxiv-cs-cl

AEGIS: Anchor-Enforced Gradient Isolation for Knowledge-Preserving Vision-Language-Action Fine-Tuning

model-releasesarxiv-cs-cv

arXiv:2604.16067v1 Announce Type: cross Abstract: Adapting pre-trained vision-language models (VLMs) for robotic control requires injecting high-magnitude continuous gradients from a flow-matching act

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt

model-releasesarxiv-cs-ai

arXiv:2512.24625v2 Announce Type: replace-cross Abstract: Accurate traffic prediction is essential for Intelligent Transportation Systems, including ride-hailing, urban road planning, and vehicle flee

Colossal Biosciences said it cloned red wolves. Is it for real?

If you want to capture something wolflike, it’s best to embark before dawn. So on a morning this January, with the eastern horizon still pink-hued, I drove with two young scientists into a blanket of

researchmit-tech-review

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS)

model-releasesarxiv-cs-ai

arXiv:2604.15547v1 Announce Type: cross Abstract: The fundamental challenge of using Large Language Models (LLMs) for reliable, enterprise-grade analytics, such as sentiment prediction, is the conflic

Geometric regularization of autoencoders via observed stochastic dynamics

arXiv:2604.16282v1 Announce Type: new Abstract: Stochastic dynamical systems with slow or metastable behavior evolve, on long time scales, on an unknown low-dimensional manifold in high-dimensional am

IA-CLAHE: Image-Adaptive Clip Limit Estimation for CLAHE

model-releasesarxiv-cs-cv

arXiv:2604.16010v1 Announce Type: new Abstract: This paper proposes image-adaptive contrast limited adaptive histogram equalization (IA-CLAHE). Conventional CLAHE is widely used to boost the performan

Local Ai

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction

arXiv:2602.07303v3 Announce Type: replace-cross Abstract: Log anomaly detection is crucial for uncovering system failures and security risks. Although logs originate from nested component executions w

local-aiarxiv-cs-ai

LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance

model-releasesarxiv-cs-ai

arXiv:2604.15589v1 Announce Type: cross Abstract: Existing research on large language models (LLMs) for automated code compliance has primarily focused on performance, treating the models as black box

NEW paper from NVIDIA. EDA tools like ABC have been hand-tuned by humans for decades. New research from NVIDIA shows they can evolve themsel…

NEW paper from NVIDIA. EDA tools like ABC have been hand-tuned by humans for decades. New research from NVIDIA shows they can evolve themselves. The work introduces the first self-evolving logic synth

model-releasesdair-ai--x

Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountability

arXiv:2604.16106v1 Announce Type: cross Abstract: The Project of AI is a world-building endeavor, wherein those who fund and develop AI systems both operate through and seek to sustain networks of pow

safetyarxiv-cs-ai

this is probably the best writeup we have on what makes agents production grade - there’s a lot of failure modes for agents we’ve learned ov…

applicationsharrison-chase--x

this is probably the best writeup we have on what makes agents production grade - there’s a lot of failure modes for agents we’ve learned over the years, most of which are articulated here Also it’s b

TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings

arXiv:2508.16860v2 Announce Type: replace-cross Abstract: Pretrained Language Models or PLMs are transformer-based architectures that can be used in bug triaging tasks. PLMs can better capture token s

applicationsarxiv-cs-ai

Hardware

A look at Dylan Patel's SemiAnalysis, an AI newsletter and research firm that expects $100M+ in 2026 revenue from subscriptions and AI supply chain research (Abram Brown/The Information)

Abram Brown / The Information: A look at Dylan Patel's SemiAnalysis, an AI newsletter and research firm that expects $100M+ in 2026 revenue from subscriptions and AI supply chain research — For Dylan

hardwaretechmeme

19 Apr 2026

And its not just economists: I am an economic sociologist, there are plenty of us, and management scholars and organizational psychologists,…

applicationsethan-mollick--x

And its not just economists: I am an economic sociologist, there are plenty of us, and management scholars and organizational psychologists, and many other scholars looking at topics related AI & work

19 Apr 2026

if you guys come to @aiDotEngineer Singapore i will personally lead a tour to the best cai fan i know! may 15-17 still recruiting a couple s…

if you guys come to @aiDotEngineer Singapore i will personally lead a tour to the best cai fan i know! may 15-17 still recruiting a couple speakers, dm if mutuals and want a VIP tour of 🇸🇬 @wynavira C

toolsswyx--x

19 Apr 2026

Dario is not as different from Sam as people seem to think.

Gary Marcus argues that Dario Amodei (Anthropic CEO) and Sam Altman (OpenAI CEO) share more similarities in their approaches to AI development and safety than commonly perceived, despite their public

safetygary-marcus--x

18 Apr 2026

recommended viewing. specifically because cristina is awesome. first ever talk is a keynote in front of a huge audience and she didn't even …

recommended viewing. specifically because cristina is awesome. first ever talk is a keynote in front of a huge audience and she didn't even flinch. inspiring and really happy she's on the team. https:

toolsswyx--x

18 Apr 2026

When looking at deep learning profiles, one of the most obvious tells between a mediocre and great candidate is whether they list PyTorch or…

researchfrancois-chollet--x

Francois Chollet discusses a hiring signal for identifying high-quality deep learning candidates based on their choice of machine learning frameworks, suggesting PyTorch proficiency (or lack thereof)

18 Apr 2026

Agents

An Intelligent Robotic and Bio-Digestor Framework for Smart Waste Management

arXiv:2604.14882v1 Announce Type: cross Abstract: Rapid urbanization and continuous population growth have made municipal solid waste management increasingly challenging. These challenges highlight th

agentsarxiv-cs-lg

Building Trust in the Skies: A Knowledge-Grounded LLM-based Framework for Aviation Safety

arXiv:2604.13101v1 Announce Type: cross Abstract: The integration of Large Language Models (LLMs) into aviation safety decision-making represents a significant technological advancement, yet their sta

safetyarxiv-cs-ai

Chronological Knowledge Retrieval: A Retrieval-Augmented Generation Approach to Construction Project Documentation

arXiv:2604.14169v1 Announce Type: new Abstract: In large-scale construction projects, the continuous evolution of decisions generates extensive records, most often captured in meeting minutes. Since d

researcharxiv-cs-cl

ControlFoley: Unified and Controllable Video-to-Audio Generation with Cross-Modal Conflict Handling

model-releasesarxiv-cs-cv

arXiv:2604.15086v1 Announce Type: cross Abstract: Recent advances in video-to-audio (V2A) generation enable high-quality audio synthesis from visual content, yet achieving robust and fine-grained cont

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI

arXiv:2403.10559v3 Announce Type: replace Abstract: This report investigates the history and impact of Generative Models and Connected and Automated Vehicles (CAVs), two groundbreaking forces pushing

International Conference on Learning Representations (ICLR) 2026

researchapple-ml-research

ICLR 2026 is a major international conference on machine learning and deep learning where Apple's research team will present their latest work and innovations in representation learning. The conferenc

Last week, Anthropic announced Project Glasswing alongside Claude Mythos Preview, a model they described as so powerful at finding vulnerabi…

model-releasesemad-mostaque--x

Last week, Anthropic announced Project Glasswing alongside Claude Mythos Preview, a model they described as so powerful at finding vulnerabilities they couldn't release it. The announcement featured A

Practical estimation of the optimal classification error with soft labels and calibration

arXiv:2505.20761v3 Announce Type: replace Abstract: While the performance of machine learning systems has experienced significant improvement in recent years, relatively little attention has been paid

Robustness of Vision Foundation Models to Common Perturbations

arXiv:2604.14973v1 Announce Type: cross Abstract: A vision foundation model outputs an embedding vector for an image, which can be affected by common editing operations (e.g., JPEG compression, bright

researcharxiv-cs-cv

TOPCELL: Topology Optimization of Standard Cell via LLMs

arXiv:2604.14237v1 Announce Type: new Abstract: Transistor topology optimization is a critical step in standard cell design, directly dictating diffusion sharing efficiency and downstream routability.

Towards Verified and Targeted Explanations through Formal Methods

arXiv:2604.14209v1 Announce Type: new Abstract: As deep neural networks are deployed in safety-critical domains such as autonomous driving and medical diagnosis, stakeholders need explanations that ar

Tutorials

Vultr CEO J.J. Kardwell Talks AI Capacity Shortage, How to Fix It, and How Demand is Changing: HumanX 2026

Vultr CEO J.J. Kardwell discusses the current shortage of AI computing capacity, potential solutions to address infrastructure constraints, and how customer demand patterns for AI services are evolvin

tutorialsvultr

A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot

model-releasesarxiv-cs-lg

arXiv:2604.13763v1 Announce Type: cross Abstract: To date, various paradigms of soft-Computing have been used to solve many modern problems. Among them, a self organizing combination of fuzzy systems

Accelerating the cyber defense ecosystem that protects us all

OpenAI discusses efforts to strengthen collective cybersecurity defenses through collaboration and technology advancement within the broader cyber defense ecosystem. The article likely covers OpenAI's

model-releasesopenai

Bias-Corrected Adaptive Conformal Inference for Multi-Horizon Time Series Forecasting

arXiv:2604.13253v1 Announce Type: new Abstract: Adaptive Conformal Inference (ACI) provides distribution-free prediction intervals with asymptotic coverage guarantees for time series under distributio

Great to be at HumanX with @Silverside_AI @LumaLabsAI and @krea_ai The SF frontier AI builder community keeps getting stronger. We're not do…

Great to be at HumanX with @Silverside_AI @LumaLabsAI and @krea_ai The SF frontier AI builder community keeps getting stronger. We're not done yet. Keep track of when and where you can meet up with th

toolsfireworks-ai--x

Robust Verification of Controllers under State Uncertainty via Hamilton-Jacobi Reachability Analysis

arXiv:2511.14755v2 Announce Type: replace-cross Abstract: As perception-based controllers for autonomous systems become increasingly popular in the real world, it is important that we can formally ver