Technology

MCP and the Innovation Paradox: Why open standards can save AI...

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Technology

The use of AI tools by agencies for product placement and...

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Anthropic

Kearney, Futurum: Big enterprise CEOs make AI core to future

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Anthropic

Hyperscalers to spend a trillion dollars on AI optimised hardware

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Anthropic

Will the UK become an AI powerhouse?

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Anthropic

Perplexity launches Sonar API to take on Google and OpenAI in...

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DeepMind

Europe accelerates AI drug development as DeepMind spinoff targets clinical trials...

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News

OpenAI has increased its lobbying efforts by nearly sevenfold.

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News

There can be no winners of a US-China AI race

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News

Microsoft is no longer OpenAI’s exclusive cloud provider.

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News

OpenAI teams with SoftBank and Oracle to build $500B data centers

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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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AI Observer

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...