PHYRE: A New Benchmark for Physical Reasoning
By: Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson and Ross Girshick.
Facebook AI Research : https://phyre.ai
#ArtificialIntelligence #DeepLearning #ReinforcementLearning

GPT-2 and the Nature of Intelligence
Gary Marcus, The Gradient: https://thegradient.pub/gpt2-and-the-nature-of-intelligence/
#GPT2 #DeepLearning #GenerativeModels

Geoffrey Hinton - On the Nature of Intelligence
https://www.youtube.com/watch?v=MhvfhKnEIqM

Improved Classification of Blood-Brain-Barrier Drugs Using Deep Learning
https://www.nature.com/articles/s41598-019-44773-4

Multi Matrix Deep Learning with GPUs
https://www.artiba.org/blog/multi-matrix-deep-learning-with-gpus

Introduction to Reinforcement Learning
By DeepMind : https://youtube.com/watch?v=2pWv7GOvuf0&list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ
#ArtificialIntelligence #DeepLearning #ReinforcementLearning

Optuna: A Next-generation Hyperparameter Optimization Framework"
Akiba et al.: https://arxiv.org/abs/1907.10902
#ArtificialIntelligence #DataScience #MachineLearning

Google brings cross-platform AI pipeline framework MediaPipe to the web
https://venturebeat.com/2020/01/28/google-brings-cross-platform-ai-pipeline-framework-mediapipe-to-the-web/

PolyGame: An open-source framework for training AI players through self-play. Deals with many games, board size variation, partial observability...
https://ai.facebook.com/blog/open-sourcing-polygames-a-new-framework-for-training-ai-bots-through-self-play/

DeNeRD: an AI-based method to process whole images of the brain
https://medicalxpress.com/news/2019-10-denerd-ai-based-method-images-brain.html

Deep Learning–based Prescription of Cardiac MRI Planes
https://escholarship.org/uc/item/8r27603c

Decoding the Brain Goes Global With the International Brain Initiative
https://singularityhub.com/2020/01/28/decoding-the-brain-goes-global-with-the-international-brain-initiative/

New artificial intelligence inspired by the functioning of the human brain


Inspired by the functioning of the human brain and based on a biological mechanism called neuromodulation, it allows intelligent agents to adapt to unknown situations
Artificial Intelligence (AI) has enabled the development of high-performance automatic learning techniques in recent years. However, these techniques are often applied task by task, which implies that an intelligent agent trained for one task will perform poorly on other tasks, even very similar ones. To overcome this problem, researchers at the University of Liège (ULiège) have developed a new algorithm based on a biological mechanism called neuromodulation. This algorithm makes it possible to create intelligent agents capable of performing tasks not encountered during training. This novel and exceptional result is presented this week in the magazine PLOS ONE.
https://techxplore.com/news/2020-01-artificial-intelligence-functioning-human-brain.html

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Towards a Human-like Open-Domain Chatbot
Adiwardana et al.: https://arxiv.org/abs/2001.09977
#ArtificialIntelligence #Chatbot #MachineLearning