stanfordnlp: RT RichardSocher: Many of my thoughts on #artificalintelligence from philosophy to applications, etc.
https://t.co/bDu5WNTmAK
Jochen is such a knowledgeable and interested journalist that our 3h (!) interview went by in no time.
Translated from German into Englis…
stanfordnlp: RT xamat: Wouldn't it be cool to have chrmanning explain ELMO, ULMfit, Transformers, and BERT in about an hour long video? #NLP https://t.co/lri7EOuZ7I
stanfordnlp: RT rown: Today, we're sharing insights on how to defend against Neural Fake News, AI-written disinformation that looks like real news.🕵️♀️🛡️
Joint with universeinanegg hjrashkin ybisk Ali Farhadi franziroesner & YejinChoinka at uwcse + all…
RT DeepMindAI: We've also started experimenting with scaling these algorithms up, creating agents which can play a whole suite of professional maps and game modes from Quake III Arena.
RT DeepMindAI: To understand how our agents worked as well as they do, we studied the activation patterns of our artificial neurons during game play, yielding unique insights into how actions and strategies are represented in artificial ‘brains.’
RT DeepMindAI: CtF-Quake III is a complex, multi-agent environment and canonical 3D 1st-person multiplayer game. Our agents were able to team up with both artificial agents and human players, and demonstrate superior performance even when limited to havi…
RT DeepMindAI: Navigating the complex tactics of team play is a critical challenge of AI research. In our new paper–now published in sciencemagazine–we present new developments in reinforcement learning, resulting in human-level performance in Quake III–…
Introducing the #NeurIPS2019 unet_challenge, a collaboration with DeepMindAI, facebookai and OpenAI aimed at designing efficient #neuralnetworks and exploring new algorithms that could influence the design of future hardware. https://t.co/wZIev4zF7t
RT DeepMindAI: RT GoogleAI: Introducing the #NeurIPS2019 unet_challenge, a collaboration with DeepMindAI, facebookai and OpenAI aimed at designing efficient #neuralnetworks and exploring new algorithms that could influence the design of future hardware. https://t.co/wZIev4zF7t
RT drfeifei "RT ai4allorg: High school is a crucial time to reach youth underrepresented in AI to move the needle on diversity + inclusion in AI. Thanks for including AI4ALL in this survey of efforts to bring AI education to a high school audience fo… https://t.co/041dT4JROf"
RT drfeifei "RT ai4allorg: This week on #RoleModelsinAI we talked to mikeamcnair, founder of 55B_ai about how his entrepreneurial and curious spirit has led him to neuroscience and AI. Read the full interview here: https://t.co/I549HttXpB"
RT drfeifei "RT ai4allorg: So proud of our high school-age alum Ecem Y. who represented AI4ALL and her own org, Technoladies, at today’s ITU #AIforGood Global summit discussion in Geneva! https://t.co/5r3NYLu6hX"
RT drfeifei "A principled human psychophysics approach to evaluate GAN algorithms and images. Fun collaboration with RanjayKrishna and msbernst ! https://t.co/EUwefcgYGY"
We updated our generative human evaluation benchmark with 6 GANs, 4 image datasets (generating faces and objects), 2 sampling methods. We show statistically insignificant correlation with FID and other automatic metrics. Use HYPE (https://t.co/KOVsQaz0KT)! https://t.co/FFjyfSxBRL
stanfordnlp: RT TorstenVolk: Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Intr... https://t.co/p8LlnGEhyI via YouTube <-- brilliant, relevant and entertaining as always: Christopher Manning's new intro to deep learning.
stanfordnlp: RT vesko_st: Working on NLP on the West Coast? Submit an abstract and/or attend the West Cost NLP (WeCNLP) summit. Steering committee: JeffDean, Emily Fox, Zoubin Ghahramani, Dilek Hakkani-Tur, ylecun and chrmanning. Deadline for abstract 6/… https://t.co/wDeDgDbnIc
EfficientNet is an open source library that uses a new compound model scaling method and leverages recent progress in #AutoML to improve #neuralnetwork scaling techniques, achieving state-of-the-art accuracy with up to 10x better efficiency. Learn more ↓ https://t.co/yUz4dy81zh
RT DeepMindAI: Our new paper, "Open-ended learning in symmetric zero-sum games" https://t.co/0df1qFatrh has been accepted by icmlconf. It shows how to build useful objectives in non-transitive games, where there isn't necessarily a clear winner–such as …