GPUs, training clusters, MLOps, and deployment
I’ve been looking at a recurring failure pattern across AI systems in production. Not model failure, or data quality or infrastructure. S...
NVIDIA limited-time perk: Claim a free 1-year API Key! Hermes Agent now supports integration with the NVIDIA NIM platform, with real-worl...
We built a system, ProgramAsWeights (PAW), where a neural compiler takes a plain-English function description and produces a "neural prog...
![[2602.12317] Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents RaSD, a framework for pre-training medical image foundation models using synthetic data, demonstrating superior perfor...
OptiML is a novel framework that enhances CUDA kernel optimization through program synthesis, leveraging large language models for improv...
This paper presents an energy-aware reinforcement learning framework for robotic manipulation of articulated components in infrastructure...
This paper presents a lightweight framework for classifying humanitarian information from social media, enhancing disaster response effic...
This article introduces Language-Guided Invariance Probing (LGIP), a benchmark for evaluating the robustness of vision-language models (V...
This paper presents an information-theoretic analysis of world models in optimal reward maximizers, quantifying the information conveyed ...
The article presents X-SYS, a reference architecture designed for interactive explanation systems in AI, addressing the challenges of dep...
WebClipper introduces a novel framework for optimizing web agent trajectories through graph-based pruning, enhancing search efficiency an...
The paper introduces SkillsBench, a benchmark assessing the effectiveness of agent skills across 86 tasks in 11 domains, revealing signif...
This paper introduces McDiffuSE, a Monte Carlo Tree Search framework aimed at optimizing slot filling orders in Masked Diffusion Models, ...
The article discusses five critical issues surrounding AI at the AI Impact Summit, including job displacement, rogue AI, energy demands, ...
Amazon is launching a $200 billion capital spending program focused on AI to strengthen its cloud business, AWS, amid rising competition ...
A user shares their preparation strategy for an interview at an AI lab focused on LLM inference systems, detailing coding and design roun...
Neysa, an Indian AI infrastructure startup, secures up to $1.2 billion in financing from Blackstone and co-investors to expand its GPU ca...
C2i, an Indian startup, has raised $15 million to develop a grid-to-GPU power solution aimed at reducing energy losses in AI data centers...
It decided to blow out my right headphone to make me show fear Some Background: I’m working on integrating computer vision and facial tra...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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