252 stories
Composing Detector Error Models Fault-tolerant quantum programs thread together reusable logical operations, yet correcting errors requires comparing measurements across operation boundaries. Correlations tie each operation's error analysis to the computation around it.
ReasAlign: Reasoning Enhanced Safety Alignment against Prompt Injection Attack Large Language Models (LLMs) have enabled the development of powerful agentic systems capable of automating complex workflows across various fields.
ReasoningBomb: A Stealthy Denial-of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models Large reasoning models (LRMs) extend large language models with explicit multi-step reasoning traces, but this capability introduces a new class of prompt-induced inference-time…
Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks AI agents, predominantly powered by large language models (LLMs), are vulnerable to indirect prompt injection, in which malicious instructions embedded in untrusted data can trigger…
We ported ThunderKittens to NVIDIA's Vera Rubin NVL72 and rebuilt our NVFP4 GEMM around the new hardware, taking it from 42% of roofline to over 22 PFLOPS — competitive with cuBLAS and CuTe DSL. Here is what changed in the ISA and how we used it.
Engineers with startup d-Matrix have spent the past seven years putting together the pieces of what ...
In this notebook, we will build a Haystack Retrieval Augmented Generation (RAG) Pipeline using self-hosted AI models with NVIDIA Inference Microservices or NIMs. The notebook is associated with a technical blog demonstrating the steps to deploy NVIDIA NIMs with Haystack into production.
Nvidia co-founder and chief executive officer Jensen Huang was among hundreds of executives with oth ...
A new installer and onboarding flow on macOS, plus streamlined local model setup on Windows NVIDIA RTX PCs, get you from download to a working agent faster.
Way back in the dawn of time, there were two rival future I/O schemes for PCs and servers, and as th ...
Ask yourself these questions, assuming you have a serious medical condition and your doctors are goi ...
NVIDIA Nemotron 3.5 Lightning is now available on Ollama. It's a 30 billion parameter (3B active) open model built for agents that stay running, gathering context, calling tools, and working through multi-step tasks on your own hardware.
CodeRabbit worked with NVIDIA and Baseten to post-train NVIDIA Nemotron 3.5 Lightning for one of CodeRabbit's highest-volume routing tasks, improving route agreement while reducing estimated inference cost.
NVIDIA Nemotron 3.5 Lightning is now available in Cline, bringing a 30B MoE model with 3B active parameters, up to 1M context, and high throughput for agentic coding workflows.
ExplainingComputers mid-year update, including discussion of NVIDIA RTX Spark, high RAM and storage prices, Linux beginners, and channel news. My “The Future of Home Computing” video is here: https://www.youtube.com/watch?v=oJe2IOO1224 And my video on building a custom Mini-ITX case is here:…
DodoForm has been accepted into the NVIDIA Inception Program, gaining access to cutting-edge GPU infrastructure, AI tooling, and technical expertise to push the boundaries of voice-to-form, image extraction, and conversational BI.
NVIDIA Nemotron 3 Ultra is built for high-throughput reasoning and long-running agent workflows.
At DigitalOcean Deploy 2026, DigitalOcean and NVIDIA discussed industry trends in open-source AI and how developers can run agentic AI.
Showing 234 of 252 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts
