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Great paper if you are building production-grade agents. It's a good way to understand what is actually incurring costs in your agents, whic…

Great paper if you are building production-grade agents. It's a good way to understand what is actually incurring costs in your agents, which involve more complex components and decisions. This works

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Hermes now leverages NVIDIA's SkillEvaluator on skill installs, checking for PII, leaked secrets, Unicode smuggling, licensing and security …

DGX agent

Hermes now leverages NVIDIA's SkillEvaluator on skill installs, checking for PII, leaked secrets, Unicode smuggling, licensing and security issues before you confirm. We pointed it at our own bundled

hardwarenous-research--x

19 Aug 2026

Jetson-ORB-SLAM3: Accuracy-Preserving GPU Implementation for Edge Computing Devices

arXiv:2608.17874v1 Announce Type: new Abstract: Visual-inertial SLAM on low-power edge platforms is constrained by the cost of dense feature extraction and loop closure. Prior GPU ports of ORB-SLAM tr

hardwarearxiv-cs-ro

Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios

arXiv:2506.18682v3 Announce Type: replace-cross Abstract: Recent advances in autonomous driving (AD) have highlighted the potential of hyperspectral imaging (HSI) for enhanced environmental perception

Nvidia, with quarterly free cash flow up 18x over the past three years to $48.5B, is using its balance sheet and credit rating to build an AI capital moat (Ari Levy/CNBC)

Ari Levy / CNBC: Nvidia, with quarterly free cash flow up 18x over the past three years to $48.5B, is using its balance sheet and credit rating to build an AI capital moat — Nvidia's massive head star

Parallel Branch Model Predictive Control on GPUs

arXiv:2506.13624v2 Announce Type: replace-cross Abstract: We present a GPU-based solver for trajectory planning problems using branch Model Predictive Control. Building on iterative LQR methods, we ad

hardwarearxiv-cs-ro

Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors

arXiv:2608.17666v1 Announce Type: new Abstract: Bayesian imaging inverse problems often require sampling from high-dimensional posterior distributions. While recent score-based and diffusion models pr

rl-triton: High-Performance Triton GPU Kernels for Reinforcement Learning Credit Assignment

arXiv:2608.17641v2 Announce Type: new Abstract: We present rl-triton, an open-source library of high-performance GPU kernels for reinforcement learning credit assignment, implemented in Triton. The co

Source: Nvidia has discussed an investment in Mercor as part of a round valuing the startup at $20B; Nvidia paid Mercor tens of millions of dollars last quarter (The Information)

The Information: Source: Nvidia has discussed an investment in Mercor as part of a round valuing the startup at $20B; Nvidia paid Mercor tens of millions of dollars last quarter — Nvidia has discussed

Structured Driving-State Narratives for Small Language Model-Based GNSS Spoofing Detection

arXiv:2608.17092v1 Announce Type: cross Abstract: Autonomous vehicles (AVs) depend on reliable Global Navigation Satellite System (GNSS) positioning. However, spoofed GNSS signals can induce plausible

AI inference chip startup Etched raised 700M led by its new server rack customer Jane Street at a 21B valuation, up from 10.3B after raising 300M in July (Robbie Whelan/Wall Street Journal)

Robbie Whelan / Wall Street Journal: AI inference chip startup Etched raised 700M led by its new server rack customer Jane Street at a 21B valuation, up from 10.3B after raising 300M in July — Etched,

Algorithm-Architecture Co-Design for Efficient VLA Inference via Speculative Inference and Verification

arXiv:2608.15636v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models have demonstrated remarkable capabilities in the field of embodied AI, but their high computational cost and limit

AlloEgo-VLM: Disambiguating Allocentric and Egocentric Reference Frames in Vision-Language Models

arXiv:2608.15605v1 Announce Type: new Abstract: This study investigates the challenge of ambiguity faced by Vision-Language Models (VLMs) in understanding spatial semantics. Spatial cognition, shaped

An automatic-differentiation framework for time-lapse electrical resistivity tomography inversion of hydrologic dynamics

arXiv:2608.14661v1 Announce Type: new Abstract: Time-lapse electrical resistivity tomography (TL-ERT) provides spatially distributed information on subsurface hydrologic changes. However, inversion of

BrainLinear: A Linear Model for Brain Network Analysis in Sparse Tangent Subspaces

arXiv:2608.15266v1 Announce Type: cross Abstract: Functional connectome analysis examines brain-region interactions to understand and identify disorders such as autism spectrum disorder and Alzheimer'

CoM^3eT: A foundation model for medical image analysis through federated, multidimensional context integration

arXiv:2608.16268v1 Announce Type: new Abstract: Medical foundation models improve generalization when training AI models with limited labeled data, but remain confined to a single specialty, such as p

Efficient Block-Layer Parallel Inference for Vision-Language-Action on Hybrid Architectures

arXiv:2608.14586v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) models are becoming a promising paradigm for autonomous driving, but their deployment on existing vehicle platforms remai

Every Expert Counts: ExactMoE for Memory-Efficient W4A16 Inference

arXiv:2608.15383v1 Announce Type: new Abstract: Sparse mixture-of-experts (MoE) language models reduce arithmetic by activating only a small subset of experts per token, yet deployment still requires

FluxBin: Flexible LUT-based Ultra-low-bit LLM Inference by Algorithm-Kernel Synergy

arXiv:2608.15602v1 Announce Type: cross Abstract: While binary quantization theoretically promises extreme compression and acceleration for Large Language Models (LLMs), existing research often overlo

Global AI Regulations for FAIR and Ethics in High-Risk Use Cases: A Comparative Review

arXiv:2608.14562v1 Announce Type: new Abstract: AI governance is shifting from voluntary ethics to enforceable, risk-based regulation, yet cross-jurisdictional divergence creates compliance uncertaint

How AI Coding Agents Can Unlock Materials Simulation with NVIDIA ALCHEMI Toolkit

NVIDIA’s ALCHEMI Toolkit delivers composable, PyTorch‑native GPU‑accelerated workflows for machine learning interatomic potentials (MLIPs), enabling AI coding agents to generate robust simulation code

hardwarenvidia-developer

Inference chip startup Etched raises 700M more at 21B valuation

A few weeks after closing a 300 million round backed by Nvidia Corp., Etched Inc. today announced that it has raised an additional 700 million in funding. Investment firm Jane Street led the deal. It

Mojo🔥 is now open source

Mojo🔥 is now open source Mojo🔥 is now open source The Mojo programming language has been promising an open source release since May 2023. Last week they shipped their 1.0 and today they have followed

hardwaresimon-willison

On Fibonacci Ensembles: An Alternative Approach to Ensemble Learning Inspired by the Timeless Architecture of the Golden Ratio

arXiv:2512.22284v2 Announce Type: replace-cross Abstract: Nature rarely reveals her secrets bluntly, yet in the Fibonacci sequence she grants us a glimpse of her quiet architecture of growth, harmony,

Run Massive-Scale UMAP in Minutes Using Multiple GPUs—Without Losing Accuracy

NVIDIA cuML and cuVS now support multi‑GPU all‑neighbors kNN graph construction in UMAP, enabling end‑to‑end scaling of the dimensionality reduction algorithm to hundreds of billions of vectors. The i

hardwarenvidia-developer

TERRA: A Hierarchical Parallel Training and Memory Orchestration Framework for High-Resolution AI-based Earth Modeling

arXiv:2608.15211v1 Announce Type: new Abstract: Training high-resolution AI-based Earth forecasting models is memory-intensive. Window-based Swin Transformers reduce the quadratic cost of global atten

This is serious competition for NVDA. The startup says it took just 44 days after getting its test chips back from Taiwan Semiconductor Manu…

This is serious competition for NVDA. The startup says it took just 44 days after getting its test chips back from Taiwan Semiconductor Manufacturing to have them up and running inference workloads—th

hardwaresonya-huang--x

TinyDETR-Pose: Towards End-to-End Real-Time Single-Stage 6DoF Object Pose Estimation with Lightweight Transformers

arXiv:2608.15297v1 Announce Type: new Abstract: Real-time 6DoF object pose estimation on resource-constrained hardware remains challenging, as accurate correspondence-based and refinement pipelines ty

AI cloud operator Groq raises $350M more in funding

Artificial intelligence startup Groq Inc. today announced that it has raised 350 million in additional funding. The Series A round was led by returning backer Disruptive. Grok stated that Nvidia Corp.

Announcing AItonomy Foundation. We are PhD students and postdocs at Stanford, Princeton and Oxford, building a nonprofit research organizati…

Announcing AItonomy Foundation. We are PhD students and postdocs at Stanford, Princeton and Oxford, building a nonprofit research organization for AI4Science and Science4AI — and connecting early-care

hardwareemad-mostaque--x

Filing: Nvidia agrees to spend up to 105B to support SB Energy's new data center campus in Ohio set to be leased by OpenAI; Nvidia invests 1.5B in SB Energy (Bloomberg)

Bloomberg: Filing: Nvidia agrees to spend up to 105B to support SB Energy's new data center campus in Ohio set to be leased by OpenAI; Nvidia invests 1.5B in SB Energy — Nvidia Corp. has agreed to spe

LatentAM: Real-Time, Large-Scale Latent Gaussian Attention Mapping via Online Dictionary Learning

arXiv:2602.12314v2 Announce Type: replace-cross Abstract: We present LatentAM, an online 3D Gaussian Splatting (3DGS) mapping framework that builds scalable latent feature maps from streaming RGB-D ob

MLCC: A Congestion Control Technique to Accelerate ML Training

arXiv:2402.09589v2 Announce Type: replace-cross Abstract: We present MLCC, a novel technique to augment today's congestion control algorithms to accelerate DNN training jobs in shared GPU clusters in

Not exactly a vote of confidence in OpenAI. Scoop from @anissagardizy8

Not exactly a vote of confidence in OpenAI. Scoop from @anissagardizy8 SCOOP: We have the details behind one of the largest data center transactions in history. Our story includes the size and complex

hardwaregary-marcus--x

Nvidia's $500B funding package announcement for AI infrastructure follows SEC's July guidance that confirmed looser restrictions for data center securitizations (Tobias Burns/CNBC)

Tobias Burns / CNBC: Nvidia's $500B funding package announcement for AI infrastructure follows SEC's July guidance that confirmed looser restrictions for data center securitizations — Recent Securitie

Omni-LiveAvatar: Minute-Level Real-Time Streaming Joint Audio-Visual Avatar Generation

arXiv:2608.13602v1 Announce Type: cross Abstract: Joint audio-video generative models serve as foundation for immersive and interactive digital-human generation. Nevertheless, most existing models rel

On theCUBE Pod: AI bubble debate heats up and neocloud earnings challenge doubters

The debate over whether we are in an artificial intelligence bubble took a new turn this week. Despite the ballooning AI spending, Dave Vellante (pictured, right), chief analyst for theCUBE Research,

OpenAI signs a 20-year, 10GW data center deal in Ohio with SoftBank's SB Energy; Nvidia agrees to backstop a portion of the value of the completed data center (Anissa Gardizy/Wall Street Journal)

Anissa Gardizy / Wall Street Journal: OpenAI signs a 20-year, 10GW data center deal in Ohio with SoftBank's SB Energy; Nvidia agrees to backstop a portion of the value of the completed data center — A

Securing the Infrastructure of Intelligence

AI factories are the defining infrastructure of the AI era — where compute transforms energy and data into intelligence that powers every business, industry and country. In the AI economy, compute is

hardwarenvidia-blog

Small models. Big cost savings. @relace_ai trains specialized models purpose-built for code generation, powered by the dedicated @ycombinato…

Relace.ai develops purpose‑built small models optimized for code generation. These models run on Y Combinator‑backed GPU clusters hosted by Together AI, achieving substantial cost savings compared to

hardwaretogether-ai--x

The conditional superiority of fast silicon sampling

arXiv:2608.14079v1 Announce Type: new Abstract: Silicon sampling can produce surprisingly good population estimates at times. Does doing it fast attenuate such fidelity? In this study, we extend and a

hardwarearxiv-cs-cl

what would happen to Nvidia if this happened? source: https://www.theinformation.com/articles/fearing-ai-chip-glut-data-center-developers-ch…

Nvidia would likely experience downward pressure on pricing power and profit margins if an AI‑chip glut materializes, as excess supply from competitors (e.g., ASICs or lower‑cost GPUs) could force the

hardwaregary-marcus--x

Fantastic initiative by @nvidia. “Circular financing” is thrown around as a pseudo intellectual gotcha, while everyone in the AI infrastruct…

Fantastic initiative by @nvidia. “Circular financing” is thrown around as a pseudo intellectual gotcha, while everyone in the AI infrastructure business is witnessing demand curves that are so rapidly

hardwaretogether-ai--x

16 Aug 2026

Guess who gets f_cked in the end?

Guess who gets f_cked in the end? “.. Nvidia gets paid upfront, the borrowers and their lenders carry the default risk, and because private credit is ultimately funded by ordinary savers through instr

hardwaregary-marcus--x

16 Aug 2026

I'm in Hyderabad next week, and I'd love to meet people outside my usual clique and bring them together. Who are the best people in these ar…

hardwaresoumith-chintala--x

I'm in Hyderabad next week, and I'd love to meet people outside my usual clique and bring them together. Who are the best people in these areas that you know based out of Hyderabad: deep tech, AI prod

16 Aug 2026

AI is becoming a new computing model for media and entertainment.

hardwarecristobal-valenzuela--x

AI is becoming a new computing model for media and entertainment. AI is becoming a new computing model for media and entertainment. At the 2026 Runway AI Summit, NVIDIA’s Richard Kerris explored how r

15 Aug 2026

Did Nvidia’s Jensen Huang just make the AI buildout too big to fail?

Nvidia Corp. is no longer just selling technology. It is helping create a financial asset class around artificial intelligence compute. In our last Breaking Analysis, we argued that AI can be technolo

15 Aug 2026

GPU prices haven't stopped climbing for 3 weeks straight across the EU, here's the data