
NVIDIA Deploys Alpamayo 2 Super for Autonomous Vehicle Reasoning
The new open-source model enhances AV decision-making by integrating high-level reasoning with 360-degree sensor fusion.

The new open-source model enhances AV decision-making by integrating high-level reasoning with 360-degree sensor fusion.

The new toolkit enables high-fidelity synthetic data generation for surgical robotics, addressing critical data gaps in clinical AI training.
Nvidia is challenging two decades of x86 dominance with the introduction of its custom Vera CPU, designed specifically to accelerate agentic AI workloads.

The new Touch Surgery Aide platform integrates NVIDIA hardware to enable low-latency computer vision applications within the operating room.

The new seven-chip platform addresses the compute demands of continuous reinforcement learning through enhanced memory bandwidth and hardware-software codesign.

NVIDIA engineer Aaron Erickson details how to stabilize agentic AI by integrating deterministic guardrails and rigorous observability into production workflows.

The new processor architecture aims to balance traditional scientific computing with the orchestration demands of autonomous research agents.

Facing AI’s unprecedented energy hunger, NVIDIA, Oklo, and Los Alamos are building data centers powered by advanced small modular nuclear reactors. This strategic alliance aims to create a self-sustaining energy future for AI, even using AI to develop its own nuclear fuel.

Google is committing up to $185 billion to foundational AI infrastructure, aiming to propel a new “agentic era” where autonomous systems transcend chatbots and redefine computing itself.
Applied machine learning, filed daily.
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