Coreweave CEO defends AI circular deals as ‘working together’
The CEO of the AI data center provider, which has Nvidia as an investor and a supplier, described the environment as a “violent change” in demand.
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NVIDIA Releases New AI Models and Developer Tools to Advance Autonomous Vehicle Ecosystem
Autonomous vehicle (AV) stacks are evolving from many distinct models to a unified, end-to-end architecture that executes driving actions directly from sensor data. This transition to using larger models is drastically increasing the demand for high-quality, physically based sensor data for training, testing and validation. To help accelerate the development of next-generation AV architectures, NVIDIA today released NVIDIA Cosmos Predict-2 — a new world foundation model with improved future world state prediction capabilities for high-quality synthetic data generation […]
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KV Cache Optimization via Tensor Product Attention
Home Table of Contents KV Cache Optimization via Tensor Product Attention Challenges with Grouped Query and Multi-Head Latent Attention Multi-Head Attention (MHA) Grouped Query Attention (GQA) Multi-Head Latent Attention (MLA) Tensor Product Attention (TPA) TPA: Tensor Decomposition of Q, K, V Latent Factor Maps and Efficient Implementation Attention Computation and RoPE Integration KV Caching and Memory Reduction with TPA PyTorch Implementation of Tensor Product Attention (TPA) Tensor Product Attention with KV Caching Transformer Block Inferencing Code Experimentation Summary […]
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YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World
A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch The post YOLOv1 Paper Walkthrough: The Day YOLO First Saw the World appeared first on Towards Data Science.
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Build with Nano Banana Pro, our Gemini 3 Pro Image model
Nano Banana Pro, or Gemini 3 Pro Image, is our most advanced image generation and editing model.
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How to design LLMs that don’t need prompt engineering
Standard LLMs rely on prompt engineering to fix problems (hallucinations, poor response, missing information) that come from issues in the backend architecture. If the backend (corpus processing) is properly built from the ground up, it is possible to offer a full, comprehensive answer to a meaningful prompt, without the need for multiple prompts, rewording your query, having to go through a chat session, or prompt engineering. In this article, I explain how to do it, focusing on enterprise […]
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5 Critical Feature Engineering Mistakes That Kill Machine Learning Projects
Check out this comprehensive guide to building production-ready features that actually work.
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Pebble’s founder introduces a $75 AI smart ring for recording brief notes with a press of a button
After rebooting the Pebble smartwatch, founder Eric Migicovsky is expanding his company’s device lineup with a new smart wearable: an AI-powered smart ring known as Index 01. Named for the finger where the ring is meant to be worn, the new $75 ring is not meant to be a competitor to the always-on, always-listening AI devices, like the AI pendant Friend, but instead offers a way to record quick notes and reminders with a press of a button […]
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The AI Bubble Will Pop — And Why That Doesn’t Matter
How history’s biggest tech bubble explains where AI is headed next The post The AI Bubble Will Pop — And Why That Doesn’t Matter appeared first on Towards Data Science.
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What does the future hold for generative AI?
When OpenAI introduced ChatGPT to the world in 2022, it brought generative artificial intelligence into the mainstream and started a snowball effect that led to its rapid integration into industry, scientific research, health care, and the everyday lives of people who use the technology. What comes next for this powerful but imperfect tool? With that question in mind, hundreds of researchers, business leaders, educators, and students gathered at MIT’s Kresge Auditorium for the inaugural MIT Generative AI Impact […]
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