Search: “hardware”

Accelerating PayPal's Commerce Agent with Speculative Decoding: An Empirical Study on EAGLE3 with Fine-Tuned Nemotron Models

model-releasesarxiv-cs-ai

arXiv:2604.19767v1 Announce Type: cross Abstract: We evaluate speculative decoding with EAGLE3 as an inference-time optimization for PayPal's Commerce Agent, powered by a fine-tuned llama3.1-nemotron-

23 Apr 2026

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Local Ai

Construí um sistema de IA com estado persistente (4B como roteador + 9B principal + 9B “subconsciente”) rodando em 2x RTX 3060 — e ele não se comporta como stateless

DGX agent

A developer describes building a persistent-state AI system using Ollama with three models (a 4B router model, a 9B primary model, and a 9B 'subconscious' model) running on dual RTX 3060 GPUs, demonst

local-air-ollama

23 Apr 2026

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization

arXiv:2604.19884v1 Announce Type: cross Abstract: Post-Training Quantization (PTQ) is critical for the efficient deployment of Large Language Models (LLMs). While 4-bit quantization is widely regarded

23 Apr 2026

Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models

arXiv:2508.18609v4 Announce Type: replace-cross Abstract: Post-Training Quantization (PTQ) is a critical strategy for efficient Large Language Models (LLMs) deployment. However, existing scaling laws

23 Apr 2026

Are Large Language Models Economically Viable for Industry Deployment?

model-releasesarxiv-cs-cl

arXiv:2604.19342v1 Announce Type: new Abstract: Generative AI-powered by Large Language Models (LLMs)-is increasingly deployed in industry across healthcare decision support, financial analytics, ente

Comparing energy consumption and accuracy in text classification inference

arXiv:2508.14170v2 Announce Type: replace Abstract: The increasing deployment of large language models (LLMs) in natural language processing (NLP) tasks raises concerns about energy efficiency and sus

researcharxiv-cs-cl

Applications

Enabling Vibration-Based Gesture Recognition on Everyday Furniture via Energy-Efficient FPGA Implementation of 1D Convolutional Networks

arXiv:2510.23156v2 Announce Type: replace-cross Abstract: The growing demand for smart home interfaces has increased interest in non-intrusive sensing methods like vibration-based gesture recognition.

applicationsarxiv-cs-ai

LinkedIn names COO Daniel Shapero as its new CEO, succeeding Ryan Roslansky, who will retain his position as EVP at Microsoft (Jordan Novet/CNBC)

Jordan Novet / CNBC: LinkedIn names COO Daniel Shapero as its new CEO, succeeding Ryan Roslansky, who will retain his position as EVP at Microsoft — Microsoft has tapped Dan Shapero to be the new CEO

industrytechmeme

OpenAI just open sourced a new 1.5B (50m active) model on HuggingFace with Apache 2.0 license! It's not a new LLM, this one is called Privac…

OpenAI just open sourced a new 1.5B (50m active) model on HuggingFace with Apache 2.0 license! It's not a new LLM, this one is called Privacy Filter, and it's a PII detection model (checking if text h

industryclem-delangue--x

StrikeWatch: Wrist-worn Gait Recognition with Compact Time-series Models on Low-power FPGAs

arXiv:2510.24738v2 Announce Type: replace-cross Abstract: Running offers substantial health benefits, but improper gait patterns can lead to injuries, particularly without expert feedback. While prior

local-aiarxiv-cs-lg

The great AI democratization begins. Every startup just got a PhD-level ML team for free 🧵

This thread discusses how advances in AI tooling and accessible models have lowered barriers to entry for startups, enabling small teams to leverage capabilities previously requiring specialized ML ex

industryclem-delangue--x

Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data

arXiv:2604.18606v1 Announce Type: cross Abstract: Damage caused by bushfires and volcanic eruptions escalates rapidly when detection is delayed, making fast and reliable early warning capabilities ess

What’s new with compute: Scaling core and agentic workloads

model-releasesgoogle-cloud-ai

At Google Cloud Next, we’re announcing a range of compute capabilities to enable your core general purpose and AI workloads for the agentic world with higher performance and lower costs. Why it matter

What’s next in Google AI infrastructure: Scaling for the agentic era

model-releasesgoogle-cloud-ai

AI is evolving from answering questions to reasoning and taking action. Companies who want to lead in today’s agentic era require computing infrastructure designed and optimized for these new requirem

A Survey of Spatial Memory Representations for Efficient Robot Navigation

model-releasesarxiv-cs-cv

arXiv:2604.16482v1 Announce Type: new Abstract: As vision-based robots navigate larger environments, their spatial memory grows without bound, eventually exhausting computational resources, particular

Safety

Chasing Ghosts: A Simulation-to-Real Olfactory Navigation Stack with Optional Vision Augmentation

arXiv:2602.19577v2 Announce Type: replace Abstract: Autonomous odor source localization remains a challenging problem for aerial robots due to turbulent airflow, sparse and delayed sensory signals, an

safetyarxiv-cs-ro

FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching

model-releasesarxiv-cs-cv

arXiv:2604.17720v1 Announce Type: cross Abstract: Point-based Neural Networks (PNNs) have become a key approach for point cloud processing. However, a core operation in these models, Farthest Point Sa

FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation

arXiv:2603.09721v2 Announce Type: replace Abstract: High-fidelity video generation remains challenging for diffusion models due to the difficulty of modeling complex spatio-temporal dynamics efficient

researcharxiv-cs-cv

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction

arXiv:2507.03052v2 Announce Type: replace Abstract: As large language models (LLMs) grow in size, efficient compression techniques like quantization and sparsification are critical. While quantization

researcharxiv-cs-lg

Tutorials

MM-Hand: A 21-DOF Multi-modal Modular Dexterous Robotic Hand with Remote Actuation

arXiv:2604.17245v1 Announce Type: new Abstract: High-DOF dexterous hands require compact actuation, rich sensing, and reliable thermal behavior, but conventional designs often occupy valuable in-hand

tutorialsarxiv-cs-ro

ProTrain: Efficient LLM Training via Memory-Aware Techniques

model-releasesarxiv-cs-lg

arXiv:2406.08334v2 Announce Type: replace-cross Abstract: Memory pressure has emerged as a dominant constraint in scaling the training of large language models (LLMs), particularly in resource-constra

Trump Media & Technology Group names Kevin McGurn as interim CEO, succeeding Devin Nunes; McGurn previously worked as an executive at Hulu, Vevo, and T-Mobile (Todd Spangler/Variety)

Todd Spangler / Variety: Trump Media & Technology Group names Kevin McGurn as interim CEO, succeeding Devin Nunes; McGurn previously worked as an executive at Hulu, Vevo, and T-Mobile — Trump Media &

industrytechmeme

AscendKernelGen: A Systematic Study of LLM-Based Kernel Generation for Neural Processing Units

model-releasesarxiv-cs-ai

arXiv:2601.07160v2 Announce Type: replace Abstract: To meet the ever-increasing demand for computational efficiency, Neural Processing Units (NPUs) have become critical in modern AI infrastructure. Ho

Intelligence per picojoule, with @itsclivetime and @dylan522p (0:00) Intro (1:22) What is codesign? (2:49) Codesign example: Swish vs ReLU (…

model-releasesdylan-patel--x

Intelligence per picojoule, with @itsclivetime and @dylan522p (0:00) Intro (1:22) What is codesign? (2:49) Codesign example: Swish vs ReLU (4:22) Are DeepSeek papers codesign? (6:45) Predicting where

Sequential KV Cache Compression via Probabilistic Language Tries: Beyond the Per-Vector Shannon Limit

arXiv:2604.15356v1 Announce Type: cross Abstract: Recent work on KV cache quantization, culminating in TurboQuant, has approached the Shannon entropy limit for per-vector compression of transformer ke

StoSignSGD: Unbiased Structural Stochasticity Fixes SignSGD for Training Large Language Models

arXiv:2604.15416v1 Announce Type: cross Abstract: Sign-based optimization algorithms, such as SignSGD, have garnered significant attention for their remarkable performance in distributed learning and

Tim Cook is a legend. I am very thankful for everything he has done and I am very thankful for Apple.

Sam Altman expressed gratitude toward Tim Cook and Apple on X, characterizing Cook as a 'legend' and acknowledging his contributions to the company. The post reflects appreciation for Apple's impact,

industrysam-altman--x

Agents

VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation

arXiv:2510.27617v2 Announce Type: replace Abstract: Automation of Register Transfer Level (RTL) design can help developers meet increasing computational demands. Large Language Models (LLMs) show prom

agentsarxiv-cs-ai

Syntheses

Wiki Lint Report — 2026-04-19

linthealth-checkautomated

Automated lint: 43 errors, 9 warnings, 3 info

19 Apr 2026

Who is running local models on GPUs on OpenClaw? I have started benchmarking different models this week. I am working on improving model sel…

model-releasesclem-delangue--x

Who is running local models on GPUs on OpenClaw? I have started benchmarking different models this week. I am working on improving model selection and switching UX on OpenClaw, i.e. I run /model vllm/

19 Apr 2026

AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime

arXiv:2604.14661v1 Announce Type: cross Abstract: Edge AI model deployment is a multi-stage engineering process involving model conversion, operator compatibility handling, quantization calibration, r

local-aiarxiv-cs-lg

Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models

arXiv:2601.21003v2 Announce Type: replace Abstract: Large Language Models usually put more emphasis on accuracy and therefore, will guess even when not certain about the prediction, which is especiall

BitFlipScope: Scalable Fault Localization and Recovery for Bit-Flip Corruptions in LLMs

arXiv:2512.22174v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) deployed in practical and safety-critical settings are increasingly susceptible to bit-flip faults caused by hard

local-aiarxiv-cs-ai

Compressed-Sensing-Guided, Inference-Aware Structured Reduction for Large Language Models

model-releasesarxiv-cs-cl

arXiv:2604.14156v1 Announce Type: new Abstract: Large language models deliver strong generative performance but at the cost of massive parameter counts, memory use, and decoding latency. Prior work ha

High-Speed Full-Color HDR Imaging via Unwrapping Modulo-Encoded Spike Streams

arXiv:2604.14632v1 Announce Type: new Abstract: Conventional RGB-based high dynamic range (HDR) imaging faces a fundamental trade-off between motion artifacts in multi-exposure captures and irreversib

researcharxiv-cs-cv

Sandwich: Joint Configuration Search and Hot-Switching for Efficient CPU LLM Serving

arXiv:2507.18454v2 Announce Type: replace-cross Abstract: CPUs are critical for LLM serving due to their availability, cost efficiency, and edge applicability. However, efficient CPU serving is hinder

Safety

UMI-3D: Extending Universal Manipulation Interface from Vision-Limited to 3D Spatial Perception

arXiv:2604.14089v1 Announce Type: new Abstract: We present UMI-3D, a multimodal extension of the Universal Manipulation Interface (UMI) for robust and scalable data collection in embodied manipulation

safetyarxiv-cs-ro

16 Apr 2026

V2V With Audio File Lipsync?

local-air-stablediffusion

This r/StableDiffusion post likely discusses how to perform video-to-video (V2V) generation with audio-driven lip synchronization, a workflow where an existing video is transformed so that a subject's

16 Apr 2026

CLASP: Class-Adaptive Layer Fusion and Dual-Stage Pruning for Multimodal Large Language Models

arXiv:2604.12767v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) suffer from substantial computational overhead due to the high redundancy in visual token sequences. Existing

How much more useage do you get from a $20 pro plan when using cloud models? Or OpenRouter better??

This Reddit thread from r/ollama discusses the value comparison between Ollama's 20/month Pro plan for cloud model usage versus using OpenRouter as an alternative. Ollama Cloud offers fixed-price subs

local-air-ollama

Tools

Pinecone has made available a Dedicated Read Nodes (DRN) option for its managed vector database service that provides IT teams with more gra…

Pinecone has made available a Dedicated Read Nodes (DRN) option for its managed vector database service that provides IT teams with more granular control and predictable performance for mission-critic

toolspinecone--x

Safety

XRZero-G0: Pushing the Frontier of Dexterous Robotic Manipulation with Interfaces, Quality and Ratios

arXiv:2604.13001v1 Announce Type: new Abstract: The acquisition of high-quality, action-aligned demonstration data remains a fundamental bottleneck in scaling foundation models for dexterous robot man

safetyarxiv-cs-ro

DA-PTQ: Drift-Aware Post-Training Quantization for Efficient Vision-Language-Action Models

arXiv:2604.11572v1 Announce Type: new Abstract: Vision-Language-Action models (VLAs) have demonstrated strong potential for embodied AI, yet their deployment on resource-limited robots remains challen

researcharxiv-cs-ro

Environmental Footprint of GenAI Research: Insights from the Moshi Foundation Model

model-releasesarxiv-cs-ai

arXiv:2604.11154v1 Announce Type: new Abstract: New multi-modal large language models (MLLMs) are continuously being trained and deployed, following rapid development cycles. This generative AI frenzy

Fixed: IPEX-LLM + modern Ollama models (qwen3, gemma4) on Intel Arc 140V Lunar Lake Windows 11 — undocumented solution

This Reddit post from r/ollama documents a community-discovered, undocumented workaround for getting IPEX-LLM to successfully run modern Ollama models — specifically Qwen3 and Gemma4 — on systems powe

local-air-ollama

Honest question - What model are Iran using for those excellent Lego Videos?

local-air-stablediffusion

This Reddit thread from r/StableDiffusion discusses the AI tools behind the viral Lego-style propaganda videos produced by Explosive Media, known in Persian as Akhbar Enfejari — a group whose AI-gener

IMAX at Home

local-air-stablediffusion

The specific Reddit post could not be retrieved directly, but based on its title 'IMAX at Home' posted in r/StableDiffusion, this is a community showcase post where a user likely used Stable Diffusion

Sharpness-Aware Surrogate Training for On-Sensor Spiking Neural Networks

arXiv:2604.09696v1 Announce Type: cross Abstract: Spiking neural networks (SNNs) are a natural computational model for on-sensor and near-sensor vision, where event driven processors must operate unde

researcharxiv-cs-cv