Knowledge catalogue
arXiv:2507.03787v2 Announce Type: replace Abstract: Static timing analysis is a crucial stage in the VLSI design flow that verifies the timing correctness of circuits. Timing analysis depends on the p
arXiv:2605.00837v1 Announce Type: new Abstract: Entropic regularized optimal transport (OT) via the Sinkhorn algorithm has become a fundamental tool in machine learning, yet existing implementations e
The automotive cockpit is undergoing a fundamental shift from rule-based interfaces to agentic, multimodal AI systems capable of reasoning, planning, and acting. This is enabled by an agentic AI pipel
Inference is 80-90% of the lifetime cost of a production AI system. Most AI-native teams are leaving performance and margin on the table. Here’s how Together AI, the AI Native Cloud, fixes that on @nv
arXiv:2512.08309v4 Announce Type: replace Abstract: For decades, procedural worlds have been built on procedural noise functions such as Perlin noise, which are fast and infinite, yet fundamentally li
Lambda Labs has assembled a new leadership team to develop and manage large-scale AI infrastructure capable of supporting gigawatt-level power consumption for advanced AI models. The company is positi
arXiv:2605.01058v1 Announce Type: cross Abstract: Layer-aligned distillation and convergence-based early exit represent two predominant computational efficiency paradigms for transformer inference; ye
arXiv:2605.01350v1 Announce Type: new Abstract: Detecting machine-generated text is essential for transparency and accountability when deploying large language models (LLMs). Among detection approache
arXiv:2605.01870v1 Announce Type: new Abstract: Large Language Models (LLMs) have substantially advanced the field of Natural Language Processing (NLP), achieving state-of-the-art performance across a
arXiv:2503.14505v3 Announce Type: replace Abstract: We introduce MusicInfuser, an approach that aligns pre-trained text-to-video diffusion models to generate high-quality dance videos synchronized wit
arXiv:2603.10584v2 Announce Type: replace Abstract: We introduce Marigold-SSD, a single-step, late-fusion depth completion framework that leverages strong diffusion priors while eliminating the costly
Ollama not using GPU is commonly diagnosed by running `ollama ps`—if it shows 100% CPU, Ollama isn't detecting the GPU. The issue typically has multiple causes, with common ones including driver probl
Paula Doenecke / Bloomberg: Nscale agrees to spend €695M on infrastructure in Portugal in an expansion of its Microsoft partnership, supplying 66K+ Nvidia Rubin GPUs from late 2027 — Nscale Global Hol
RadixArk Inc., a startup that provides tools for artificial intelligence developers, has raised 100 million from a group of high-profile backers. Nvidia Corp.’s NVentures fund led the seed round with
Enterprise AI has learned to generate. It has learned to reason. Now companies are asking the next question: How should AI act? Early agent systems have shown what’s possible, moving beyond simple pro
arXiv:2605.00254v1 Announce Type: cross Abstract: Mixture-of-experts (MoE) architectures have turned LLM serving into a cluster-scale workload in which communication consumes a considerable portion of
arXiv:2605.01708v1 Announce Type: cross Abstract: Contemporary systems serving large language models (LLMs) have adopted prefill-decode disaggregation to better load-balance between the compute-bound
arXiv:2605.01910v1 Announce Type: new Abstract: Autoregressive decoding becomes bandwidth-limited at long contexts, as generating each token requires reading all n_k key and value vectors from KV cach
arXiv:2605.00197v1 Announce Type: cross Abstract: Studies attempting to simulate human behavior with extit{Silicon Societies} grow in numbers while LLM-only social networks have started appearing outs
toodles from mickey mouse clubhouse was weirdly ahead of its time wake phrase: mickey mouse clubhouse launched in 2006, and “oh toodles” trained toddlers on the assistant wake phrase years before siri
We cut model cold-start times from minutes to seconds. 60x faster, saving thousands of GPU-minutes and hundreds of terabytes of transfers every day. It turns out GPUs already holding weights are faste
arXiv:2605.00650v1 Announce Type: new Abstract: Fine-tuning LLMs is necessary for various dedicated downstream tasks, but classic backpropagation-based fine-tuning methods require substantial GPU memo
This Modal blog post describes a performance optimization technique for multimodal AI inference that achieves over 10% improvement through a simple Python dictionary-based approach. The article likely
Reuters: Cerebras seeks a valuation of up to 26.62B in its US IPO, aiming to raise 3.5B by selling 28M shares at 115 to 125 apiece in its second attempt to go public — Nvidia-rival Cerebras is seeking
Dylan Patel likely announced or commented on a significant financial commitment or investment milestone related to an EUV (Extreme Ultraviolet) lithography machine, which are critical semiconductor ma
Mike Rogoway / Oregonian: Lattice Semiconductor agrees to acquire AMI for 1.65B in cash and stock; Georgia-based AMI provides firmware and infrastructure manageability for cloud and AI — Hillsboro-bas
Pieter Haeck / Politico: Legislators and experts criticize the EU's €20B sovereign compute data center plan, questioning whether there is demand and the plan's reliance on Nvidia GPUs — Critics argue
arXiv:2605.00397v1 Announce Type: new Abstract: We present MiniVLA-Nav v1, a simulation dataset for Language-Conditioned Object Approach (LCOA) navigation: given a short natural-language instruction,
NVIDIA cuOpt Agent Skills integrate LLM reasoning with GPU-accelerated solvers to enable AI agents to translate natural language supply chain problems into optimized mathematical models, with skills e
The case against OpenAI is getting markedly stronger now that Musk is off the stand. Why? Musk’s lawyer is interrogating OpenAI founder Greg Brockman, making clear that OpenAI sold its mission as a no
Abhishek Vishnoi / Bloomberg: Analysis: Asian suppliers account for ~90% of Nvidia's production costs, up from 65% in 2025, as latest wave of collaborations shifts from chips to physical AI — The list
This post draws a comparison between how parents measure their babies' development and relationship milestones, noting that both shift from month-based to year-based metrics around the 18-24 month mar
NVIDIA's Instant Splat is a breakthrough AI technique that synthesizes missing information from a few images to create immersive 3D models of virtual worlds. The method produces high-quality 3D models
This post humorously critiques conformity in San Francisco by observing that while men in the tech scene are often stereotyped as groupthink followers, women in SF have similarly adopted Tabis (Japane
This post benchmarks three Qwen3.6 model variants against gpt-oss:120b when running on Apple Silicon hardware, evaluating their performance characteristics and practical usability. It documents both t
The number of jobs in the future is endless because the problems to solve are endless. Jobs multiply as we get more complex. No AI or human can solve all problems and all the work to do in the Univers
The post humorously references Apple's iMessage feature that displays group chats in green when they include non-iPhone users, joking that activating 'goblin mode' (a playful term for behaving mischie
Ollama's MLX engine runs on NVIDIA GPUs via CUDA v13 on Windows and Linux. Users have reported that Ollama crashes on RTX 3060 with cuda_v13 in versions 0.13.0 through 0.15.6, while deleting the cuda_
This article explores the origins and development of Intel's 8008 microprocessor, a pioneering chip that played a crucial role in the early microcomputer revolution of the 1970s. It likely examines th
The Information: Sources: Anthropic is in early talks to buy AI inference chips from UK-based Fractile when they become available in 2027 — As Anthropic's sales explode, straining the servers it uses,
AI Value Capture - The Shift To Model Labs Vera Rubin VR NVL72: V for Value - Rubin delivers a step jump in performance per TCO. ROI accruing to users, Neoclouds, Hyperscalers, AI Labs, Memory Vendors
arXiv:2409.16808v1 Announce Type: cross Abstract: Modern applications, such as autonomous vehicles, require deploying deep learning algorithms on resource-constrained edge devices for real-time image
By popular request, YOLO-mode has landed on ml-intern https://smolagents-ml-intern.hf.space This enables the intern to execute long-running tasks like launching parallel ablations to determine the opt
First Silicon Valley captured the US Government, and now it is capturing “independent” media. 🟡 Semafor is launching a new initiative: Silicon Valley & The World, bringing together leaders building ar
arXiv:2604.28156v1 Announce Type: cross Abstract: We present FlexiTac, a low-cost, open-source, and scalable piezoresistive tactile sensing solution designed for robotic end-effectors. FlexiTac is a p
arXiv:2509.16248v3 Announce Type: replace-cross Abstract: This paper presents GRAPHMEND, a high-level compiler technique that eliminates FX graph breaks in PyTorch 2 programs. Although PyTorch 2 intro
Discover how Marketing Architects scaled real-time CTV advertising with Vultr, doubling throughput, reducing latency by 50%, and cutting cloud costs by up to 50% with high-performance Kubernetes and c
arXiv:2604.26963v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as the execution core of autonomous agents rather than as standalone text generators. Agentic w
Gary Marcus critiques AI systems (particularly Nvidia's offerings) for producing lower-quality outputs that require significant correction and refinement despite increased computational investment. Th
The U.S. Defense Department today announced that it has inked artificial intelligence procurement contracts with seven tech firms. The group includes Amazon Web Service Inc., Google LLC, Microsoft Cor
The Pentagon has struck deals with OpenAI, Google, Microsoft, Amazon, Nvidia, Elon Musk's xAI, and the startup Reflection, allowing the agency to use their AI tools in classified settings, according t
arXiv:2410.15272v3 Announce Type: replace-cross Abstract: Quantum annealers offer a promising hardware platform for solving combinatorial optimization problems, especially those formulated as Quadrati
Zijing Wu / Financial Times: Sources: Huawei expects AI chip revenue to hit ~12B in 2026, up 60% from 7.5B in 2025, as orders for its Ascend 950PR chip surge and Nvidia stalls in China — Chinese tech
Katrina Manson / Bloomberg: Sources: the US DOD strikes agreements with Nvidia, Microsoft, Reflection AI, and AWS to use their AI tools on classified military networks for “lawful” use — The Pentagon
arXiv:2604.28175v1 Announce Type: new Abstract: Machine learning (ML) inference serving systems host deep neural network (DNN) models and schedule incoming inference requests across deployed GPUs. How
arXiv:2604.27844v1 Announce Type: cross Abstract: Communication has emerged as a critical bottleneck in the distributed training of large language models (LLMs). While numerous approaches have been pr
10 years ago I took Justin's C++ 11 class at Google. He is a gifted teacher. Watch this talk where he explains the 500B AI build out from 1st principles. One gpu to world wide racks and why some of th
arXiv:2506.05878v2 Announce Type: replace Abstract: We present a feasibility-seeking approach to neural network training. This mathematical optimization framework is distinct from conventional gradien
arXiv:2601.11568v2 Announce Type: replace-cross Abstract: Training Large Language Models (LLMs) is highly memory-intensive due to optimizer state overhead. The FRUGAL framework mitigates this with gra
The TileGym project developed an AI-driven skill-based workflow that encodes 17 critical translation rules, static validation scripts, and example kernels, enabling automated conversion of cuTile Pyth