Weekly Newsletter
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learning
Reinforcement learning boosts reasoning skills in new diffusion-based language model d1
Log Probability Estimation in diffu-GRPO. Credit: arXiv (2025). DOI: 10.48550/arxiv.2504.12216 A team of AI researchers at the University of California, Los Angeles, working...
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Perfect is the enemy of good for distributed deep learning in the cloud
OptiReduce improves latency compared to previous methods like Ring AllReduce by reducing the number of rounds with incast parameter and setting boundaries to...
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‘Periodic table of machine learning’ framework unifies AI models to accelerate innovation
MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds...
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Machine learning spots early abnormal grain growth signs for safer designs
Architecture of the Predicting Abnormality with GCRN and LSTM (PAGL) framework. Credit: npj Computational Materials (2025). DOI: 10.1038/s41524-025-01530-8 A team of Lehigh University...
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Machine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasets
Credit: Tara Winstead from Pexels Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card...
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What is reinforcement learning? An AI researcher explains a key method of teaching machines
Credit: CC0 Public Domain Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience...
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Tactile sensors are less important than the order of learning experiences for robotic hands, study shows
Overview of simulation environment and learning. Credit: Science Advances (2025). DOI: 10.1126/sciadv.adp8407 How does a robotic arm or a prosthetic hand learn a...
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A potential unifying theory for key deep learning phenomena
Credit: Pixabay/CC0 Public Domain How do neural networks work? It’s a question that can confuse novices and experts alike. A team from MIT’s...
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New machine learning framework enhances precision, efficiency in metal 3D printing
Credit: Additive Manufacturing (2025). DOI: 10.1016/j.addma.2025.104736 Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve...
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