News

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

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U Mobile launches 5G SA network for selected postpaid plans

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Digital deception: How the Kenyan government uses misinformation to drive its...

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Africa’s tech opportunity: Building trust as the catalyst for growth

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Comino offers workstation PCs that include 8, yes, 8 Nvidia 5090...

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Tsinghua University KTransformers allows full-powered DeepSeek R1 with low-cost graphic card

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The Generative AI Con

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How Oui Capital made 53x on a $150,000 investment early in...

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Airtel Nigeria raises voice and internet prices by 50%

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Nigerian banks’ stocks rise 12.24% after lenders raise $662 million

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What we know about AMD and Nvidia’s imminent midrange GPU launches

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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...