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

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OpenAI and FDA are reportedly talking about AI for drug evaluations.

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OpenAI and FDA Hold talks about using AI in drug evaluation

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Google disputes Eddy Cue’s claim that Apple users search less

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The telltale sign you used ChatGPT and a way to avoid...

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Anthropic

MIVA, Nigeria’s first private open University, targets 100,000 students through its...

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Anthropic

Google-backed Platos Health raises pre-seed $1.4 million to roll out preventive...

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AWS report: Generative AI surpasses security in global tech spending for...

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Nvidia and MediaTek could finally unveil their AI PC in this...

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Apple

You can still get a 4-pack Apple AirTags at 20% off...

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ChatGPT is becoming smarter but its hallucinations spiral

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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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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...