News

Huawei Introduces Pangu Ultra MoE: A 718B-Parameter Sparse Language Model Trained...

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News

How a top Chinese AI-model overcame US sanctions.

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Government and Public Policy

Will states be the first to regulate AI?

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News

Stargate, smargate. Meta’s Zuckerberg boasts that we’re spending $60B+ this year...

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AI Hardware

Silicon Valley stunned by China’s DeepSeek R1 which surpasses US AI...

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Anthropic

Tencent Launches AI Content Detection Tool for Images and Text

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Anthropic

Next-gen MacBook Air to get a MacBook Pro display

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Anthropic

Realme P3’s large battery capacity revealed

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News

Follow-up on OpenAI: China’s o1 Class Reasoning Models are being introduced...

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News

Report Claims Trump’s $500 Billion AI Project ‘Stargate’ Is Designed to...

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Anthropic

Conservative leader Pierre Poilievre accuses Liberals of global Netflix price hike

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Featured

Education

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

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News

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

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News

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...