News

Congress supports a plan to keep advanced chips with tracking technology...

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Anthropic

Anne Wojcicki, CEO of DNA testing company 23andMe, resigns.

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Anthropic

AI accelerates DNA storage data retrieval by 3,200 times

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News

BYD launches new Denza N9 flagship SUV in China

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News

Nvidia sells RTX GPUs that are hard to find from a...

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Gmail now has AI-powered search results.

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News

House GOP subpoenas companies for AI ‘censorship’ pressure from Biden administration.

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AI Hardware

Cloudflare turns AI against itself with endless maze of irrelevant facts

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Anthropic

Report: Foldable iPhone will launch ‘next’ year, using technologies from iPhone...

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Anthropic

Gurman: Future Apple Watches may include cameras as part of AI...

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Anthropic

Apple has quietly updated its HomePod Mini with a new box.

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Featured

Education

Georgia Tech and Stanford Researchers Introduce MLE-Dojo: A Gym-Style Framework Designed...

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A Step-by-Step Guide to Build an Automated Knowledge Graph Pipeline Using...

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Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and...

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News

Stability AI Introduces Adversarial Relativistic-Contrastive (ARC) Post-Training and Stable Audio Open...

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Georgia Tech and Stanford Researchers Introduce MLE-Dojo: A Gym-Style Framework Designed...

Machine learning engineering (MLE) involves developing, tuning, and deploying machine learning systems that require iterative experimentation, model optimization, and robust handling of data pipelines. As model complexity increases, so do the challenges associated with orchestrating end-to-end workflows efficiently. Researchers have explored the automation of MLE tasks using AI agents...