https://thegradient.pub/deep-learning-for-single-cell-sequencing-a-microscope-to-uncover-the-rich-diversity-of-individual-cells/ Deep learning for single-cell sequencing: a microscope to see the diversity of cellsFatima Zahra El Hajji1/13/24 1:12 PM “…we will explore the pivotal role that Deep Learning, in particular,
What I Read: AI, Images
https://www.quantamagazine.org/the-ai-tools-making-images-look-better-20230823/ The AI Tools Making Images Look BetterAmos ZeebergAugust 23, 2023 “Researchers have discovered ways around a fundamental trade-off between accuracy and beauty in digital images.”
What I Read: Neural Networks Learn Language
https://www.quantamagazine.org/some-neural-networks-learn-language-like-humans-20230522/ Some Neural Networks Learn Language Like HumansSteve NadisMay 22, 2023 “Researchers uncover striking parallels in the ways that humans and machine learning models acquire language skills.”
What I Read: How diffusion models work
https://theaisummer.com/diffusion-models/ How diffusion models work: the math from scratchSergios Karagiannakos, Nikolas Adaloglouon2022-09-29 “Diffusion models are a new class of state-of-the-art generative models that generate diverse high-resolution images.”
What I Read: Visual Explanation of Classifiers
https://ai.googleblog.com/2022/01/introducing-stylex-new-approach-for.html Introducing StylEx: A New Approach for Visual Explanation of ClassifiersTuesday, January 18, 2022Posted by Oran Lang and Inbar Mosseri, Software Engineers, Google Research“Previous approaches for visual explanations of classifiers…
What I Read: Introduction AutoEncoder
https://www.theaidream.com/post/an-introduction-to-autoencoder-and-variational-autoencoder-vae Introduction to AutoEncoder and Variational AutoEncoder(VAE)Nagesh Singh ChauhanJul 28“In recent years, deep learning-based generative models have gained more and more interest…. we will dive deep into these generative networks