Knowledge catalogue
Useful artificial intelligence has arrived, and if Nvidia Chief Executive Jensen Huang is right, it is about to reshape not only data centers but also the structure of the global economy and the tech
arXiv:2605.30361v1 Announce Type: cross Abstract: Spiking Neural Networks (SNNs) offer compelling energy efficiency on neuromorphic hardware, yet their training remains challenging because the discret
🆕Grok Imagine’s Video Agent Moment: Cosmos, xAI, World Models, Generative UI, & the Codex Phase for Video! https://www.latent.space/p/video-agents @EthanHe_42, former @xai world model lead and @nvidia
arXiv:2605.31000v1 Announce Type: cross Abstract: Training Large Language Models (LLMs) on heterogeneous clusters presents significant challenges for collective communication, as hardware from multipl
NVIDIA Cosmos 3 uses a mixture-of-transformers architecture that pairs a reasoning transformer with a generation transformer, enabling it to understand object interactions and spatial-temporal relatio
So much great work lately from Nvidia, the 'King of American Open-source AI'! - Crossed 1,000 total public repositories on @huggingface (820 models, 249 datasets & 57 spaces) & almost 60,000 followers
Intel plans to ship its Crescent Island AI GPU in 2026, targeting Nvidia and AMD on cost and power efficiency. The chip uses cheaper LPDDR5X memory and is designed to run in air-cooled server racks ra
It's cool to see that the http://hf.co/blog has become progressively a major source of learning and news about AI for the community. Just look at the recent content created & major announcements & tut
Ian King / Bloomberg: Jensen Huang says Anthropic, OpenAI, and SpaceX are among the first big users for Nvidia's new Vera CPUs, which are 1.8x faster for AI workloads than x86 chips — Nvidia Corp. sai
arXiv:2602.15018v2 Announce Type: replace-cross Abstract: Neurosim is a fast, real-time, high-performance library for simulating sensors such as dynamic vision sensors, RGB cameras, depth sensors, and
The NVIDIA AI Cloud ecosystem is accelerating the global buildout of AI factory infrastructure. Partners are expanding capacity to meet growing demand from enterprises, startups, nations, AI labs and
Nvidia announced development of a 550 billion parameter language model, positioning itself as a leading open-source AI research organization competing with traditional academic and independent labs. T
Nvidia Corp. today introduced a system-on-chip designed to power Windows laptops and compact desktops. RTX Spark, as the processor is called, will roll out alongside Windows upgrades that will make th
NVIDIA DSX OS is an open source, modular software platform designed for operating and scaling multi-tenant AI factories. It provides foundational technologies for building and operating AI factories,
As factories move from isolated automation to plant-wide intelligence, manufacturers need AI systems that can connect live machine signals, quality systems, work instructions and operational alerts in
Not content with just providing the infrastructure for the next generation of artificial intelligence agents, Nvidia Corp. is also providing the tools for developers to build them. At Nvidia GTC Taipe
Nvidia Corp. said early Monday at the Computex conference in Taipei that it’s gearing up the production of its forthcoming Vera Rubin platform, which is set to become the foundation of a new generatio
Cosmos3-Super-Image2Video is a 64B model for temporally coherent image-to-video generation . NVIDIA's Cosmos platform is designed to accelerate Physical AI development by enabling machines to understa
Cosmos3-Super-Text2Image is a 64 billion parameter omnimodal world model capable of generating high-quality images from text inputs as part of NVIDIA's Cosmos 3 foundation model platform. The model is
NVIDIA Vera is a purpose-built CPU for agentic AI and reinforcement learning, delivering twice the efficiency and 50% faster performance than traditional rack-scale CPUs. The processor helps AI factor
arXiv:2602.07721v3 Announce Type: replace-cross Abstract: KV-cache retrieval is essential for long-context LLM inference, yet existing methods struggle with distribution drift and high latency at scal
arXiv:2605.31463v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) has become the dominant architecture for frontier language models. To meet this demand, production frameworks have built opti
arXiv:2605.30728v1 Announce Type: new Abstract: Machine learning (ML) training and inference often process data sets far exceeding GPU memory capacity, forcing them to rely on PCIe for on-demand tenso
arXiv:2605.30409v1 Announce Type: cross Abstract: Real-time streaming video-to-video editing (V2V) is critical for interactive applications such as live broadcasting and gaming, yet it remains a formi
arXiv:2605.30716v1 Announce Type: cross Abstract: Generating clinically useful pathology reports for pathology cases from whole-slide images (WSIs) is challenging due to gigapixel resolution, long vis
arXiv:2605.30541v1 Announce Type: new Abstract: Full waveform inversion (FWI) is the gold standard for subsurface imaging, with applications from carbon sequestration to energy and mineral exploration
Taiwan is home to more than 500 NVIDIA ecosystem partners. More than 1 million NVIDIA MGX rack components for NVIDIA Vera Rubin infrastructure come together in Taiwan, from across 25 factory sites. As
the decade of agents! @theemozilla We have been working closely with @nvidia to ensure Hermes Agent works smoothly on their new @NVIDIARTXSpark superchip and integrates with the new OpenShell runtime,
Nvidia's announcement that it's getting into the consumer laptop chip space with RTX Spark is huge. Apple has proved for years that Arm-based chips can perform incredibly well while also delivering gr
This pod was an incredible gift to the community: not only our first pod about @xAI, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific area
Today we’re announcing London as Runway’s European HQ, and doubling down on our investment in the UK AI ecosystem. In under two years, our London team has become central to our research, including fou
arXiv:2605.31040v1 Announce Type: new Abstract: Developing effective representations for register transfer level (RTL) designs is crucial for accelerating the hardware design workflow. Existing approa
We have been working closely with @nvidia to ensure Hermes Agent works smoothly on their new @NVIDIARTXSpark superchip and integrates with the new OpenShell runtime, which connects Hermes to @Microsof
We have worked with @nvidia to integrate their official Agent Skills catalog into the Hermes Skills Hub. These skills teach your agent how to use CUDA-X libraries, Omniverse and Physical AI workflows,
We 💚 open source So much great work lately from Nvidia, the 'King of American Open-source AI'! - Crossed 1,000 total public repositories on @huggingface (820 models, 249 datasets & 57 spaces) & almost
NVIDIA Cosmos 3 is an open-source omni-model designed for physical AI reasoning and action tasks, representing an advancement in multimodal AI systems. The model integrates multiple modalities to enab
Microsoft and NVIDIA are partnering to develop laptop chips based on Grace and Blackwell architectures to compete with Apple Silicon's six-year market dominance. This collaboration aims to challenge A
This post from Dylan Patel discusses how PC graphics capabilities were limited before Jensen (likely referring to Jensen Huang of NVIDIA) introduced revolutionary GPU technology, and suggests that the
New York Times: Wirescreen analysis of 3,800 Chinese military procurement records finds 500+ instances since 2019 where the PLA sought Nvidia chips, including the A100 and A800 — An analysis of six ye
Reuters: A look at AMD CEO Lisa Su's and Nvidia CEO Jensen Huang's contrasting China playbooks, with Su keeping a lower profile; China accounts for ~20% of AMD's revenue — When AMD CEO Lisa Su arrived
is the word for this “rug pull”? 🚨 SPACEX MAY BE THE BIGGEST INSIDER CASHOUT IN MARKET HISTORY. SpaceX is expected to IPO at a valuation of up to $2 TRILLION. That would instantly make it larger than
Ina Fried / Axios: Sources: Microsoft and Nvidia will unveil the first Windows PCs powered by Nvidia SoCs, including devices from Surface and Dell, at Computex and Build 2026 — The company best known
These are some of my LLM assisted contributions from the past month. Nothing amazing, but I'm slowly getting better at it. Atm, using Qwen3.6 27B exclusively. For hardware - switching between M2 Ultra
卧槽！你随便扔一首 YouTube 歌，它就能直接拆成 6 条独立音轨——人声、鼓、贝斯、吉他、钢琴、其他……全给你扒出来！ 这工具叫 StemDeck，GitHub 开源项目，本地跑全程不上传、不注册、不花钱！它基于 Demucs 模型，拆完后给你一个接近 DAW 的界面： 静音、独奏、拉推子、缩波形、设循环、单轨下载、混音导出……想怎么玩就怎么玩。硬核亮点： 本地全速运行：自动识别 GPU，A
Wall Street Journal: A profile of OpenAI President Greg Brockman, who is overseeing product in his new role and has become an important ambassador for AI to the Trump administration — After years in t
Sean McLain / Wall Street Journal: As robotaxi companies attempt to scale in the US, they face increasing scrutiny and mounting criticism from drivers, law enforcement, and local governments — As auto
We took the Hot Wings Challenge to NVIDIA GTC 🌶️ @realDanFu (VP of Kernels) and @sarung (VP of Customer Success) answered some questions around AI, one spicy wing at a time. Some people sweat. Some pe
This post likely discusses how approaching a situation with fear or negative expectations can create a self-fulfilling prophecy, resulting in aversion or disgust toward that outcome. Dylan Patel appea
Why AI's increasing output is going to be one of the hardest economic measurement problems in history. AI 'Dark Output' could end up being the majority of economic activity, but a challenge to measure
AI Dark Output: The Visible Cost of Invisible Output Why AI's increasing output is going to be one of the hardest economic measurement problems in history. AI 'Dark Output' could end up being the majo
B9403 is an intermediate build release of llama.cpp, an open-source project enabling LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware locally and in the cl
arXiv:2508.03221v5 Announce Type: replace-cross Abstract: Despite the remarkable progress of diffusion models in image generation, recent studies reveal their vulnerability to backdoor attacks via cov
arXiv:2605.29155v1 Announce Type: cross Abstract: In the literature, actor-critic model predictive control (AC-MPC) integrates MPC with reinforcement learning to enable high-performance control of com
This post demonstrates a comprehensive observability solution using Amazon Managed Grafana dashboards that provides a holistic view of both quality and quantity for LLMs served on Amazon SageMaker AI
arXiv:2605.29428v1 Announce Type: cross Abstract: We present DEtection in phase-folded Light curves with cOntrastive Scoring (DELOS), a contrastive-learning-based framework designed to search for shal
arXiv:2602.06036v2 Announce Type: replace Abstract: Autoregressive large language models (LLMs) deliver strong performance but require inherently sequential decoding, leading to high inference latency
arXiv:2605.30010v1 Announce Type: new Abstract: Video large language models (Video-LLMs) have demonstrated strong capabilities in video understanding tasks. However, their practical deployment is stil
Elon Musk: “I don't think most people understand just how quickly machine intelligence is advancing. It's much faster than almost anyone realizes, even within Silicon Valley and certainly outside Sili
arXiv:2605.29505v1 Announce Type: new Abstract: Online 3D scene perception in real time is essential for robotics, AR/VR, and autonomous systems, particularly in edge computing scenarios where computa
Hot take on what comes next, after the sudden decline of tokenmaxxing: - OpenAI will struggle - with the decline of tokenmaxxing Anthropic will struggle (aside from this quarter) to make a profit - Go