NVIDIA

The latest AMD Radeon RX9060 XT information reveals high boost clocks...

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AI chip restrictions limit Nvidia H20 China exports

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NVIDIA RTX5060 family brings Blackwell power to an affordable price.

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Nvidia GPU Update Releases with Lots of Bug Fixes

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Nvidia Plans to Establish $500B of Domestic Production Chain

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The US government has imposed a license requirement on Nvidia H20...

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Nvidia joins the Made-in-America Party, hoping to flog $500B worth of...

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Nvidia Says It Started Making Chips for AI in the US

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NVIDIA Studio Update supercharges DaVinci Resolve RTX AI Acceleration.

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AI makes hyperscalers’ sustainable pledges look like a Hail-Mary

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Nvidia on NixOS

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Featured

Education

A Coding Implementation of Accelerating Active Learning Annotation with Adala and...

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LightOn AI Released GTE-ModernColBERT-v1: A Scalable Token-Level Semantic Search Model for...

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This AI Paper Introduces Effective State-Size (ESS): A Metric to Quantify...

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Technology

Dream 7B: How Diffusion-Based Reasoning Models Are Reshaping AI

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A Coding Implementation of Accelerating Active Learning Annotation with Adala and...

In this tutorial, we’ll learn how to leverage the framework to build a modular active learning pipeline for medical symptom classification. We begin by installing and verifying Adala alongside required dependencies, then integrate Google Gemini as a custom annotator to categorize symptoms into predefined medical domains. Through a...