Переведенные статьи

ARM Institute expands RoboticsCareer.org into physical AI

Robust.AI chooses Aptiv PULSE sensor for Gen 3 Carter mobile robot

Hirebotics offers no-code, explosion-proof cobot for painting

Orbbec shows AI-powered vision systems at Automate 2026

General Intuition raises $320M to use video game data to train robots

How compact cobot integration enhances autonomous mobile robot applications

We know how to build smarter robots. Now, we need to learn smarter ways to test them

AGIBOT produces 15,000th robot, marking a milestone in embodied AI deployment

Advantages of hypoid gearing over worm, bevel and bevel-planetary

MBody AI expands service robotics operations to eleven states and Canada

BMW Group deploys Figure 03 humanoid after tests with previous version

Insights behind Kinisi’s acquisition by Bear Robotics

Sonair ADAR One 3D ultrasonic sensor is now safety-certified

Soft, robotic cells from morph embed physical AI into hardware

Queue raises funding to build fully autonomous pharmacy

Teradar enters paid evaluation program with German automaker for terahertz vehicle sensing technology

Limitless Labs raises $20 million to expand AI platform for CNC programming and precision manufacturing

ABB Robotics and Psyonic use human-generated data to advance robotic dexterity

People want robots in warehouses and factories, not hospitals or schools, Hexagon study finds

Flexiv launches new ‘adaptive robots’ for industrial automation

Goodwood Festival of Speed unveils Future Lab lineup for 2026

Kawasaki Robotics showcases 8-axis Physical AI robot and intelligent automation technologies at Automate 2026

Air Cargo Under Strain: The Consequences of FAA Flight Reductions on Global Supply Chains

How AI Navigation is Improving the Performance of Robotic Pool Cleaners

Best Wholesale Voice Providers in 2026: What Carriers Should Look for in a Termination Partner

Agibot reaches new milestone as its 15,000th humanoid robot rolls off production line

SVT Robotics surpasses four billion transactions on its Softbot automation platform

Hirebotics launches ‘no-code explosion-proof’ collaborative robot for industrial painting

Dürr implementing a CO2-efficient paint shop with cross-plant system integration

How to build a WordPress website for an industrial business

DiARC: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Models

Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare

Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training

Model Forensics: Investigating Whether Concerning Behavior Reflects Misalignment

Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

Yuvion VL: A Multimodal Foundation Model for Adversarial Content and AI Safety

CrossPool: Efficient Multi-LLM Serving for Cold MoE Models through KV-Cache and Weight Disaggregation

ZONOS2 Technical Report

FP8 is All You Need (Part 2): Efficient Ozaki-Bailey Style FFT Through Tensor-core Garner Reformulation and Kulisch Escape Route

On the Position Bias of On-Policy Distillation

When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model

An Empirical Study of OpenPangu Quantization on Ascend NPUs

Contagion Networks: Evaluator Preference Propagation in Multi-Agent LLM Systems

Hierarchical Control in Multi-Agent Games: LLM-based Planning and RL Execution

Lost at the End: Primacy Bias in Multimodal Retrieval-Augmented Question Answering

Adaptive Turn-Taking for Real-time Multi-Party Voice Agents

$\tau$-Rec: A Verifiable Benchmark for Agentic Recommender Systems

When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks?

Energy-Structured Low-Rank Adaptation for Continual Learning

The Strongest Teacher Is Not Always the Best Teacher: Student-Centric Answer Selection

Coloring the Noise: Adversarial Sobolev Alignment for Faithful Image Super Resolution

Do Vision Models Truly Forget? New Findings from Representation-Level Certification of Visual Unlearning in Vertical Federated Learning

FormalASR: End-to-End Spoken Chinese to Formal Text

EAGT: Echocardiography Augmentation for Generalisability and Transferability

ELF: Embedded Language Flows

Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout

Uncertainty-Aware Reward Discounting for Mitigating Reward Hacking

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers

GenMatter: Perceiving Physical Objects with Generative Matter Models

LiveClawBench: Benchmarking LLM Agents on Complex, Real-World Assistant Tasks

From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales

Can LLMs Reason About Attention? Towards Zero-Shot Analysis of Multimodal Classroom Behavior

IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models

HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering

EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning

Measuring the Redundancy of Decoder Layers in SpeechLLMs

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction

An Interpretable, Controllable Time-Varying IIR Denoiser for On-Device Assistive Hearing

Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training

Event-Grounded Question Answering over Long Audio via Structured Retrieval

When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting

Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs

Robustness of Constraint Automata for Description Logics with Concrete Domains

Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting

Reasoning-Enhanced Rare-Event Prediction with Balanced Outcome Correction

DDSA: Dual-Domain Strategic Attack for Spatial-Temporal Efficiency in Adversarial Robustness Testing

Psychometric Comparability of LLM-Based Digital Twins

Pixelwise Uncertainty Quantification of Accelerated MRI Reconstruction

Trust Region Masking for Long-Horizon LLM Reinforcement Learning

Hybrid coupling with operator inference and the overlapping Schwarz alternating method

Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification

LieSolver: PDE-Constrained Learning for IBVPs via Lie Symmetries

A Primer on SO(3) Action Representations in Deep Reinforcement Learning

MetaBreak: Jailbreaking Online LLM Services via Special Token Manipulation

Deep Neural Networks Inspired by Differential Equations

Ranking Before Serving: Low-Latency LLM Serving via Pairwise Learning-to-Rank

Unbiased Binning for Fairness-aware Attribute Representation

Freshness and the Limits of Heuristic Trend Detection in Temporal RAG

SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes

LinkAnchor: An Autonomous LLM-Based Agent for Issue-to-Commit Link Recovery

Calibrating Biophysical Models for Grape Phenology Prediction via Multi-Task Learning

SIDA: Synthetic Image Driven Zero-shot Domain Adaptation

PRISON: Unmasking the Criminal Potential of Large Language Models

Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems

DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domain

ReFreeKV: Towards Threshold-Free KV Cache Compression

The Minimal Search Space for Conditional Causal Bandits

Derivation of effective gradient flow equations and dynamical truncation of training data in Deep Learning

Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook

iCost: A Novel Instance-Complexity-Based Cost-Sensitive Learning Framework

Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story Worlds

A Pipeline for Generating Longitudinal Synthetic Clinical Notes Using Large Language Models

AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems

What the LLM Should Not Say: Boundary-Aware Context Grounding for A Seven-Channel EEG Agent

AI Snitches Get Glitches: Towards Evading Agentic Surveillance

POTracker: Optimizing Large Language Models for Standard-Compliant Power Outage Report Generation

Agent-as-a-Router: Agentic Model Routing for Coding Tasks

Your AI Travel Agent Would Book You a Bullfight: An Agentic Benchmark for Implicit Animal Welfare in Frontier AI Models

The Shift Toward Open and Reproducible AI Research

Artificial Intelligence Index Report 2026

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters

Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models

RedKnot: Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention

Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image Editing

Distilling Answer-Set Programming Rules from LLMs for Neurosymbolic Visual Question Answering

AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization

Algorithms for Deciding the Safety of States in Fully Observable Non-deterministic Problems: Technical Report

SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms

Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching

Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models

Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMs

GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Models

Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context

SciFig: Towards Automating Editable Figure Generation for Scientific Papers

Towards Benign Memory Forgetting for Selective Multimodal Large Language Model Unlearning

Chronic Kidney Disease Prognosis Prediction Using Transformer

PreferThinker: Reasoning-based Personalized Image Preference Assessment

Symmetry-Aware Transformer Training for Automated Planning

Agentic Episodic Control

"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets

DexCompose: Reusing Dexterous Policies for Multi-Task Manipulation with a Single Hand

Which Nash Equilibrium? Solver-Dependent Selection on Zero-Sum Nash Polytopes

Agentic Hardware Design as Repository-Level Code Evolution

Towards Automating Scientific Review with Google's Paper Assistant Tool

Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation

How Width and Data Shape Generalization Scaling Laws in Quadratic Neural Networks

Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software

Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching

Towards Value-Constrained Credit Assignment in Fully Delegated AI Cooperatives

HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration

The Remittance Blueprint: Data-driven Intelligence for Sri Lanka

Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction

LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior

CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association

Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models

Toward Robust In-Context Segmentation via Concept Guidance

Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection

PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation

From Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond

Higher-Order Fourier Neural Operator: Explicit Mode Mixer for Nonlinear PDEs

BiDeMem: Bidirectional Degradation Memory for Explainable Image Restoration

OSOR: One-Step Diffusion Inpainting for Effect-Aware Object Removal

STAG: Spatio-temporal Evolving Structural Representation of Action Units for Micro-expression Recognition

OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators

Single and Multi Truth Data Fusion using Large Language Models

ToolPrivacyBench: Benchmarking Purpose-Bound Privacy in Tool-Using LLM Agents

MultiHashFormer: Hash-based Generative Language Models

Can LLMs Judge Better Than They Generate? Evaluating Task Asymmetry, Mechanistic Interpretability and Transferability for In-Context QA

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions

Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution

MLVC: Multi-platform Learned Video Codec for Real-World Deployment

Dialogue to Detection: A Multimodal Hybrid NLP Pipeline for Insurance Fraud Detection

Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation

SHARD: cell-keyed residual splitting for alignment-resistant private dense retrieval

ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering

From Black-Box to Clinical Insight: A Multi-Stage Explainable Framework for Speech-Based Cognitive Impairment Detection

Reasoning Beyond Prediction: From Data-Driven to Causal Software Engineering

VASAE: Naming SAE Dictionary Directions with Vocabulary-Aligned Anchoring

Two-Stage Fine-Tuning for Protein Sequence Generation with Targeted Amino-Acid Composition

Agentic AI-Powered Re-Identification: An Emerging, Scalable Threat to Mobility Microdata Privacy

Home3D 1.0: A High-Fidelity Image-to-3D Asset Generation System for Interior Design

Reflect-R1: Evidence-Driven Reflection for Self-Correction in Long Video Understanding

Every Step of the Way: Video-based Parkinsonian Turning Step Counting

Triadic Werewolf: A Jester Role for Multi-Hop Theory of Mind in LLMs

SEADA: An efficient methodology for optimizing mixed-precision DNNs on multi-precision spatial architectures

A Study of Temporal Fusion Strategies for Named Entity Recognition in Historical Texts

SpatialUAV: Benchmarking Spatial Intelligence for Low-Altitude UAV Perception, Collaboration, and Motion

S$^2$-VLA: State-Space Guided Vision-Language-Action Models for Long-Horizon Manipulation

GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets

Applicability of memorization indicators for early spotting of overfitting while recalibrating sEMG-decoders on low sample sizes

WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks

Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling

Pepti-drift: Toxicity-Repulsive Drifting for Antigen-Conditioned Discrete Peptide Generation

Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting

Optimizing Teacher-Student Partitioning for Scalable Knowledge Distillation on HPC Systems

Position Bias Correction is Insufficient for One-Pass Attention Sorting

NLL-Guided Full-Attention Layer Selection for Training-Free Sliding-Window Adaptation

SHIFT: Gate-Modulated Activation Steering for Knowledge Conflict Mitigation in Retrieval-Augmented Generation

Output-Space Allocation Costs for Calibration-Guided LLM Compression: An Empirical Study

Improving Adversarial Robustness via Activation Amplification and Attenuation

RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance

Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?

From General-Purpose Audio Tagging to Spatially Grounded Sound Event Localization and Detection

Flexformer: Flexible Linear Transformer with Learnable Attention Kernel

End-to-End Dynamic Sparsity for Resource-Adaptive LLM Inference

KG2Cypher: Data-Centric Pipeline for Building Enterprise Text-to-Cypher Systems

Bifocal Diffusion Language Models: Asymmetric Bidirectional Context for Parallel Generation

Enhancing Numerical Prediction in LLMs via Smooth MMD Alignment

Do Speech Emphasis Models Generalize across Languages and Emotions?

The Simulacrum: Decision-Theoretic Pretraining for Near-Optimal Time-Series Forecasting and Inference

Low-Agreeableness Persona Conditioning for Safe LLM Fine-Tuning

Room for Error: Large-Scale Simulation of Over-the-Air Acoustic Attacks

What Was That Again? Certified Robustness for Automatic Speech Recognition

Class-frequency Guided Noise Schedule for Diffusion Models

Halt Fast! Early Stopping for Certified Robustness

Deployment-Side Adaptiveness in Multi-Horizon Volatility Forecasting

Mitigating LLM-based p-Hacking by Preregistering for the Next LLM

CBD: API-Only LLM Black-Box Unlearning through Controlled Behavioral Divergence

From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models

Explainable AI for Biodiversity Monitoring and Ecological Image Analysis

Reconstructing the Developmental Trajectory of Adipocytes in Human Adipose Tissue Using Single-Cell RNA Sequencing

Cross-Platform Chinese Offensive Comment Detection via Dual-Threshold Hard Example Mining

HybridCodec: Modeling Discrete and Continuous Representations for Efficient Speech Language Models

Global Explanations for Multivariate Time Series Forecasting Models via $K$-Order Markov Approximations

Narrative-UFET: Narrative Generation for Ultra-Fine Entity Typing

Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding

CoIn: Comprehensive 2D-3D Inpainting with Gaussian Splatting Guidance

SceneBot: Contact-Prompted General Humanoid Whole Body Tracking with Scene-Interaction

Retroactive Advantage Correction: Closed-Form V-Trace Bias Correction for Delay-Aware RLHF

Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC

PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration

hia-gat: A Heterogeneous Interaction-Aware Graph Attention Network For Frame-Level Traffic Conflict Risk Prediction On Freeways

On the Inseparability of Instructions and Data in Shared-Embedding Sequence Models

Benchmarking Multi-Modal Graph-based Social Media Popularity Prediction

The Context-Ready Transformer

Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge

DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection

Speculative Refinement: A Hybrid Autoregressive Diffusion Decoding Strategy and Its Behavior Across Benchmarks

Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents

GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana

Not All Relations Rotate Alike: Transformation-Aware Decoupling for Viewpoint-Robust 3D Scene Graph Generation

Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder

Towards Evaluation of Implicit Software World Models in Coding LLMs

Automated brain tumor detection in MRI images using CNN and ResNet architectures

SidConArena: An Environment Evaluating Agents in Open-Ended,Positive-Sum Bargaining Game

Agentic Publication Protocol: An Attempt to Modernize Scientific Publication

CalBrief: A Pilot Diagnostic Benchmark for Evidence-Calibrated Scientific Briefing with Large Language Models

OverFlowLight: Real-Time Gridlock Prevention and Traffic Signal Optimization for Urban Intersections

Position: The Term "Machine Unlearning" Is Overused in LLMs

DataStates-LLM: Scalable Checkpointing for Transformer Models Using Composable State Providers

Agent-Native Immune System: Architecture, Taxonomy, and Engineering

Tandem Reinforcement Learning with Verifiable Rewards

AI-Driven Synthesis for High-Tech System Design: Automating Innovation

Ontology-Guided Evidence Path Inference for Multi-hop Knowledge Graph Question Answering

JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications

Lifted Causal Inference

RelBall: Relation Ball with Quaternion Rotation for Knowledge Graph Completion

Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing

NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning

ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents

Grounded Iterative Language Planning: How Parameterized World Models Reduce Hallucination Propagation in LLM Agents

Understanding Rollout Error in Graph World Models

Towards Reliable and Robust LLM Planning: Symbolic Feedback-Driven Iterative Self-Refinement Framework

ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation

MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy

DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums

Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models

Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning

When Does Personality Composition Matter for Multi-Agent LLM Teams?

AI-Model Network: Concept, Current State and Future

DeepSeek Releases DSpark, a Speculative Decoding Framework That Accelerates DeepSeek-V4 Per-User Generation 60–85% Over MTP-1

Liquid AI Ships LFM2.5-230M with llama.cpp, MLX, vLLM, SGLang, and ONNX Support for On-Device Inference

Building a Stable Fable 5 Traces Workflow in Colab: Parsing Tool Calls, Auditing Data, and Training Baselines

OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing

Top 6 No-Code Tools for AI Engineers/Developers

Meet EverOS: An Open Source Markdown-First Agent Memory Runtime With Hybrid BM25 + Vector Retrieval and Self-Evolving Skills

NVIDIA BioNeMo Agent Toolkit Turns Biomolecular Models Into Callable Skills for AI Agents in Drug Discovery

PyGraphistry Implementation Workflow for Interactive Graph Intelligence Pipelines in Security Analytics and Risk Investigation

OpenClaw Releases iOS and Android Companion Node Apps That Connect a Phone to a Self-Hosted AI Agent Gateway

Meta AI Releases Brain2Qwerty v2: A Non-Invasive MEG Brain-to-Text Pipeline Decoding Typed Sentences at 61% Word Accuracy

Principal Drift

Stop Getting Good at Protocols. Get Good at Agent Experience.

So Long and Thanks for All the Context

Agentic Code Review

Agent Memory

What You Bring to AI Determines the Result

Beyond Prompt Injection

The End of Tokenmaxxing

Building agentic AI applications with a modern data mesh strategy on AWS

Build self-service AWS Health analytics to find actionable health insights with AI agents powered by Amazon Bedrock

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell

Retrofit, don’t rebuild: Agentic overlays for transforming legacy enterprise services

Production-grade AI agents for financial compliance: Lessons from Stripe

How Cara pioneers domain-specific AI for enterprise insurance brokerages with AWS

Build interactive PDF text extraction from Amazon S3

Debugging production agents with Amazon Bedrock AgentCore Observability

Build an agentic AI healthcare claims pipeline with Amazon Bedrock and AWS HealthLake

Multi-tenant LLM analytics with row-level security: How we built a secure agent on AWS

Pair Nova 2 Lite with Claude for cost-optimized document processing

Implement a backup strategy for Amazon Quick Sight BI assets

Fine-tune Amazon Nova models for accurate email data extraction

Building bilingual NER for cargo logistics with Amazon Bedrock

How Outpost VFX Uses AWS to Accelerate AI Model Training for Visual Effects

Implementing resilience patterns with Amazon Bedrock and LLM gateway

Simplify multi-account access to Amazon Bedrock models with managed entitlements

Build generative UI for AI agents on Amazon Bedrock AgentCore with the AG-UI protocol

Introducing Claude Sonnet 5 on AWS: Anthropic’s most capable Sonnet model

Experimenting with the proposed Cross-Origin Storage API in Transformers.js

Shipping huggingface_hub every week with AI, open tools, and a human in the loop

Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World

Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel

Run a vLLM Server on HF Jobs in One Command

DiScoFormer: One transformer for density and score, across distributions

Featuring Every Eval Ever Results on Hugging Face Model Pages

Why Specialization Is Inevitable

ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration

The $400 million machine powering the future of chipmaking

The emergence of the web data infrastructure layer for AI

Repositioning retail for the AI era

Agent confidence on the technical frontier

AI agents are not your “coworkers”

Agriculture is ready for AI, but its data isn’t

Our latest Google Finance upgrades, including a new app

Ask an AI expert: What exactly is the full stack?

Unlocking Britain’s next era of productivity: Building a nation of AI trailblazers

What Is an Absence of Voltage Test? NFPA 70E Requirements Explained

NIST Launches Center to Drive the Manufacture of Quantum Technologies

Wachendorff IP69K Rotary Encoders and Measuring Wheel Components

More I/O Modules for the Productivity2000 PLC Series and New Productivity Suite Software Features

RECOM Power RACPRO1 Series Single-Phase Switching Power Supplies

ABB – Thomas & Betts Cable Ties and Cable Tie Tools

Newsletter Volume 28 Issue 6

Selecting Safety Components Properly | White Paper

The rise of DC: Why the future of electrical distribution requires action now

Advancing the digital energy landscape through partnership‑driven innovation

From alarm overload to action: How AI is improving service performance today

Is your electrical enclosure properly mounted? Installation decisions that prevent field failures

Electrical digital twins: Start small to turn power monitoring data into decisions

Modernization without disruption: The new mandate for utilities facing an aging grid

Why offsite management matters more than ever for refineries

Edge Computing Enables Industrial AI Without Compromising OT Integrity

Using AI to Accelerate Modular LNG Project Execution

Integrated Heat Exchanger Design and Rating—Closing the Gaps Between Process, Thermal, and Mechanical Engineering

Improving Mining Reliability with Wireless Monitoring and Edge AI

Dead Time Compensation: What Every Control Engineer Should Know Before Turning It On

Understanding Valve Operations in Heat Recovery Steam Generators

​​​Corrosion in the Chemical Industry: From Inspection to Continuous Insight​

Rethinking Reliability in Gold Mining: Why Run-to-Fail No Longer Pays in Critical Valve Service

SaaS меняет динамику предиктивного обслуживания

Объявляем участников конкурса Build-a-Thon 2026!

Автоматизация против ИИ против машинного обучения: разбираемся в терминах

Разжигая дискуссию: Взгляд назад на первые четыре эпизода