Search: “hardware”

arXiv:2604.05672v3 Announce Type: replace Abstract: Vision-Language-Action (VLA) models have emerged as a powerful paradigm for open-world robot manipulation, but their practical deployment is often c

This Reddit thread discusses running Ollama on a resource-constrained 8GB CPU-only ARM VPS, addressing common challenges such as out-of-memory errors and model response looping. For purely CPU-only se

arXiv:2604.13946v1 Announce Type: cross Abstract: Automated code generation remains a persistent challenge in software engineering, as conventional multi-agent frameworks are often constrained by stat

arXiv:2604.13413v1 Announce Type: new Abstract: Diffusion language models (DLMs) have emerged as a promising paradigm for large language models (LLMs), yet the non-deterministic behavior of DLMs remai

arXiv:2604.13075v1 Announce Type: new Abstract: Effective de-escalation is critical for law enforcement safety and community trust, yet traditional training methods lack scalability and realism. While

arXiv:2604.13279v1 Announce Type: new Abstract: Fall detection in elderly care requires not only accurate classification but also reliable explanations that clinicians can trust. However, existing pos

arXiv:2604.13788v1 Announce Type: cross Abstract: Imitation learning (IL) policies in robotics deliver strong performance in controlled settings but remain brittle in real-world deployments: rare even

arXiv:2405.20836v3 Announce Type: replace-cross Abstract: Solving time-dependent Partial Differential Equations (PDEs) is one of the most critical problems in computational science. While Physics-Info

Hi! I'm here with *another launch*, it just happens to be extremely niche, nerdy, and probably only for a handful of people. In the desktop app, Claude Cowork and Code now have a little Bluetooth API

Editor’s note: Today we hear from Perry Nightingale, SVP of Creative AI at WPP about the workflow that cuts training time for humanoid robots from days to minutes — plus access to the open-source code

This r/StableDiffusion post is a community-driven benchmark comparing multiple quantization formats — fp8, nvfp4, fp16, and INT8 — of Baidu's ERNIE Image Turbo text-to-image model, using a standardize

Qwen3.6 is a model available through Ollama's model library, representing Alibaba's Qwen series of large language models optimized for local deployment. The model can be accessed and run through the O

arXiv:2604.13345v1 Announce Type: new Abstract: The paper presents design and prototype implementation of an edge based object detection system within the new paradigm of AI agents orchestration. It g

A Reddit thread from the r/ollama community where a user seeks assistance with the initial setup and configuration of Ollama, a tool for running large language models locally. The discussion likely co

arXiv:2604.14021v1 Announce Type: new Abstract: Maintaining stable internal representations of continuous variables is fundamental for effective robotic control. Continuous attractor networks provide

🎬 Ollama Gemma Day Recap: SGLang at the Ollama Gemma 4 Party in Palo Alto 🍾 Last night, @ollama hosted a packed Gemma Day at the Palo Alto office alongside the @GoogleDeepMind Gemma team. SGLang was i

arXiv:2604.13672v1 Announce Type: new Abstract: The `spotoptim` package implements surrogate-model-based optimization of expensive black-box functions in Python. Building on two decades of Sequential

arXiv:2604.13560v1 Announce Type: new Abstract: Multi-task learning (MTL) improves generalization and data efficiency by jointly learning related tasks through shared representations. In the widely us

arXiv:2604.13951v1 Announce Type: new Abstract: This study evaluates colorectal risk factors and compares classical models against Quantum Neural Networks (QNNs) for anastomotic leak prediction. Analy

arXiv:2604.13315v1 Announce Type: new Abstract: High-resolution data in spatial and temporal contexts is imperative for developing climate resilient cities. Current datasets for monitoring urban param

arXiv:2604.13323v1 Announce Type: new Abstract: Many robot planning tasks require satisfaction of one or more constraints throughout the entire trajectory. For geometric constraints, manifold-constrai

arXiv:2604.13654v1 Announce Type: new Abstract: Vision-and-Language Navigation for Unmanned Aerial Vehicles (UAV-VLN) represents a pivotal challenge in embodied artificial intelligence, focused on ena

A Reddit post on r/StableDiffusion showcasing a locally generated 12-second AI video clip styled after Hot Wheels toy car racing, produced using LTX-Video — a low-memory, open-source video generation

arXiv:2603.18104v3 Announce Type: replace Abstract: Prevailing AI training infrastructure assumes reverse-mode automatic differentiation over IEEE-754 arithmetic. The memory overhead of training relat

Mark Gurman / Bloomberg: Apple endorses the ~$11.6B Amazon-Globalstar deal, citing a “proven track record” with Amazon infrastructure; Apple holds a ~20% stake in Globalstar — Amazon.com Inc.'s takeov

Build b8797 is a sequentially numbered incremental release of llama.cpp, the open-source C/C++ library for local LLM inference maintained by ggml-org on GitHub. As part of llama.cpp's rapid, continuou

arXiv:2604.11971v1 Announce Type: new Abstract: Epileptic seizure detection from EEG signals remains challenging due to the high dimensionality and nonlinear, potentially stochastic, dynamics of neura

AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, who are building the future on our platform, there would be no Google Cloud. In this regul

arXiv:2604.12916v1 Announce Type: new Abstract: Training and transferring learning-based policies for quadrotors from simulation to reality remains challenging due to inefficient visual rendering, phy

arXiv:2604.05546v2 Announce Type: replace Abstract: Large Vision-Language Models (LVLMs) enable sophisticated reasoning over images and videos, yet their inference is hindered by a systemic efficiency

A Reddit user shared a community-made patch to enable proper FP16 support for the Ernie Image model in ComfyUI, targeting NVIDIA 20-series (Turing) GPUs. 20-series cards do not support bfloat16 , and

📽️ IC LoRAs: Control Your Video 🎤 Hosts: Purz & Julien ⏲️ April 15th – 3pm PDT / 6pm EST 📍 Live on YouTube, X, and Twitch LTX 2.3 + IC LoRAs = video control unlocked. Outpainting, character stylizatio

IC LoRAs are a technique for controlling video generation, likely enabling fine-grained stylistic or motion control through specialized LoRA (Low-Rank Adaptation) models applied to video workflows. Th

This Reddit thread from r/ChatGPT discusses whether locally-run open-source AI models can match the capabilities of frontier models like ChatGPT. Leading open-source models like Llama 3.3 70B and Deep

This Reddit thread on r/ollama discusses how to find and set up AI-powered autocomplete extensions for VS Code that work with locally running Ollama models. A popular solution involves a local AI codi

A r/StableDiffusion thread where a user seeks a Google Colab notebook cell that replicates the img2img generation style or workflow of tools like 'grok' or 'neno-banana' — likely referring to specific

arXiv:2410.04960v5 Announce Type: replace Abstract: The Segment Anything Model (SAM) is a foundational model for image segmentation tasks, known for its strong generalization across diverse applicatio

During the NBA Play-In Tournament on April 15, 2026, Amazon Prime Video's stream of the Miami Heat vs. Charlotte Hornets game went offline for nearly two minutes in overtime, with the audio feed cutti

Quantum-HPC integration may still be in its earliest chapters, but the race to build the software infrastructure it will need is already underway. As the quantum technology market matures toward a pro

arXiv:2604.12219v1 Announce Type: cross Abstract: Video Diffusion Transformers have revolutionized high-fidelity video generation but suffer from the massive computational burden of self-attention. Wh

arXiv:2604.12942v1 Announce Type: new Abstract: Real-time 3D Gaussian splatting (3DGS)-based Simultaneous Localization and Mapping (SLAM) in large-scale real-world environments remains challenging, as

arXiv:2602.18109v2 Announce Type: replace Abstract: Real-time schedulers must reason about tight deadlines under strict compute budgets. We present TempoNet, a reinforcement learning scheduler that pa

Ollama announced they are expanding cloud infrastructure capacity by adding more GPUs to meet demand, asking users for patience during the scaling process. This indicates Ollama's cloud service experi

We believe the future of intelligence is decentralized. Tonight we're opening the new @agi_inc office in SF with a dinner, gathering chipmakers, OEM partners, and investors to discuss what happens whe

As of April 2026, Latent Space published a curated ranking of the top locally-runnable AI models, providing a research-based overview of the best open-weight or self-hostable models available at that

arXiv:2604.11540v1 Announce Type: new Abstract: Current large language models require hundreds of billions of parameters yet struggle with domain-specific reasoning and tool coordination in materials