AI DIGEST #NOVEMBER20

By Alisher Abdulkhaev Issue #17: November 2020 AlphaFold: a solution to a 50-year-old grand challenge in biology The latest version of AlphaFold (AlphaFold-2) has been recognised as a solution to one of biology's grand challenges - the “protein folding problem”.It was validated at CASP14, the biennial Critical Assessment of protein Structure PredictionWe’re excited about the potential impact … Continue reading AI DIGEST #NOVEMBER20

CNN ARCHITECTURES: SHUFFLENET

This is part of the CNN Architectures series by Dimitris Katsios. Find all CNN Architectures online: Notebooks: MLT GitHubVideo tutorials: YouTubeSupport MLT on Patreon ShuffleNet We will use the tensorflow.keras Functional API to build ShuffleNet from the original paper: “ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices” by Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun. ShuffleNet: Video tutorial … Continue reading CNN ARCHITECTURES: SHUFFLENET

GENERATIVE DEEP LEARNING (READING & DISCUSSION)

Our Generative Deep Learning Sessions are dedicated to reading and discussing the book "Generative Deep Learning" by David Foster (O'Reilly). The first sessions will be held on Sunday, March 1, remaining sessions will be held weekly on Saturdays from 3-5PM (JST). All sessions are remote and accessible via zoom. Session structure ● 1.5 silent reading … Continue reading GENERATIVE DEEP LEARNING (READING & DISCUSSION)

MLT AT NEURIPS 2019 IN VANCOUVER

MLT is presenting 2 workshop papers at the NeurIPS 2019 conference in Vancouver, Canada. Meet Asir Saeed at the poster session at the NeurIPS Workshop Machine Learning for Creativity and Design. Creative GANs for generating poems, lyrics, and metaphors Asir Saeed, Suzana Ilić, Eva Zangerle Generative models for text have substantially contributed to tasks like machine translation … Continue reading MLT AT NEURIPS 2019 IN VANCOUVER