A video-interview newsletter by Yacine Mahdid that unpacks recent deep learning research through conversations with researchers, covering self-improving agent harnesses, diverse-solution post-training, and continual learning. Readers get accessible explanations of technical papers plus links to papers and interview recordings.
Website: https://www.yacinemahdid.com
A newsletter by Prof. Tom Yeh that teaches AI math, algorithms and model architectures through hand-worked examples and Excel spreadsheets. Issues include multi-part article series such as RNNs by Hand and announcements for guest seminars connecting concepts to GPU kernels.
Technical posts by a machine learning researcher on efficient deep learning, covering experiment management, quantization-aware training and GPU kernel implementation. Readers get practical advice and first-hand research findings, including code walkthroughs in Triton.
A serialized history of artificial intelligence, with recent issues covering AlexNet and the rise of deep learning, the 2012-2017 progress in vision, language and games, and the Transformer. It explains how datasets, hardware, algorithms and benchmarks combined to drive each advance.
A machine learning researcher shares diagrams and explainers of deep learning architectures and Neural Circuit Diagrams, a visual notation for expressing tensor shapes and operations. Readers get clear visual breakdowns of model designs like DeepSeek-V3 and a practical introduction to representing array and function metadata.
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