In the first five years of a full-time research position? Apply to join our global network of fellows, pursuing answers to some of the most important questions facing science and humanity.
Tag an exceptional researcher who should apply.
https://ow.ly/rLZG50xt3Br
Tag an exceptional researcher who should apply.
https://ow.ly/rLZG50xt3Br
CIFAR
CIFAR Azrieli Global Scholars
The CIFAR Azrieli Global Scholars program provides funding and support to help scholars build their network and develop essential skills.
The AI Index 2019 has just been released, with new in-depth and evolved research. AI touches many aspects of society - this report takes an interdisciplinary approach by design, analyzing and distilling patterns about AI's broad global impact. https://stanford.io/2RLwgcA
Stanford Institute for Human-Centered Artificial Intelligence
Introducing the AI Index 2019 Report
The AI Index 2019 Report takes an interdisciplinary approach by design, analyzing and distilling patterns about AI’s broad global impact on everything from national economies to job growth, research and public perception.
Machine Learning on Graphs #NeurIPS2019
Michael Galkin : https://medium.com/@mgalkin/machine-learning-on-graphs-neurips-2019-875eecd41069
#GraphNeuralNetworks #NLP
Michael Galkin : https://medium.com/@mgalkin/machine-learning-on-graphs-neurips-2019-875eecd41069
#GraphNeuralNetworks #NLP
Medium
Machine Learning on Graphs @ NeurIPS 2019
If you still had any doubts — it’s time to admit. Machine Learning on Graphs becomes a first-class citizen at AI conferences while being…
Trust Your Model: Model-Based Policy Optimization
Codes: https://github.com/JannerM/mbpo
Paper: https://arxiv.org/pdf/1906.08253.pdf
Codes: https://github.com/JannerM/mbpo
Paper: https://arxiv.org/pdf/1906.08253.pdf
GitHub
GitHub - jannerm/mbpo: Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization" - GitHub - jannerm/mbpo: Code for the paper "When to Trust Your Model: Model-Based Policy O...
ImJoy: a new computational platform for deep learning https://www.scilifelab.se/news/imjoy-a-new-computational-platform-for-deep-learning/
What a statement: $1,000,000 prize money at the Kaggle "Deepfake Detection Challenge" – Identifying videos with facial or voice manipulations.
@ArtificialIntelligenceArticles
"These content generation and modification technologies may affect the quality of public discourse and the safeguarding of human rights—especially given that deepfakes may be used maliciously as a source of misinformation, manipulation, harassment, and persuasion. Identifying manipulated media is a technically demanding and rapidly evolving challenge that requires collaborations across the entire tech industry and beyond.
AWS, Facebook, Microsoft, the Partnership on AI’s Media Integrity Steering Committee, and academics have come together to build the Deepfake Detection Challenge (DFDC)."
https://www.kaggle.com/c/deepfake-detection-challenge
#AI #deeplearning #deepfakes #kaggle https://t.iss.one/ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
"These content generation and modification technologies may affect the quality of public discourse and the safeguarding of human rights—especially given that deepfakes may be used maliciously as a source of misinformation, manipulation, harassment, and persuasion. Identifying manipulated media is a technically demanding and rapidly evolving challenge that requires collaborations across the entire tech industry and beyond.
AWS, Facebook, Microsoft, the Partnership on AI’s Media Integrity Steering Committee, and academics have come together to build the Deepfake Detection Challenge (DFDC)."
https://www.kaggle.com/c/deepfake-detection-challenge
#AI #deeplearning #deepfakes #kaggle https://t.iss.one/ArtificialIntelligenceArticles
SuperDyna
Toward a General AI-Agent Architecture
Rich Sutton (presentation starts at 15 min.) : https://slideslive.com/38921889/biological-and-artificial-reinforcement-learning-4
#ArtificialIntelligence #ReinforcementLearning #AGI
Toward a General AI-Agent Architecture
Rich Sutton (presentation starts at 15 min.) : https://slideslive.com/38921889/biological-and-artificial-reinforcement-learning-4
#ArtificialIntelligence #ReinforcementLearning #AGI
SlidesLive
Biological and Artificial Reinforcement Learning 4
Reinforcement learning (RL) algorithms learn through rewards and a process of trial-and-error. This approach was strongly inspired by the study of animal behaviour and has led to outstanding...
Quality-Diversity optimisation algorithms
List of papers related to QD algorithms, links to tutorials and workshops, and pointers to existing implementations of QD algorithms. Cully et al.: https://quality-diversity.github.io
#EvolutionaryAlgorithms #QualityDiversity #Illumination
List of papers related to QD algorithms, links to tutorials and workshops, and pointers to existing implementations of QD algorithms. Cully et al.: https://quality-diversity.github.io
#EvolutionaryAlgorithms #QualityDiversity #Illumination
Quality-Diversity optimisation algorithms
About
This webpage intends to list papers related to QD algorithms, links to tutorials and workshops, and pointers to existing implementations of QD algorithms.
Mesh R-CNN
Gkioxari et al.: https://arxiv.org/abs/1906.02739
#ArtificialIntelligence #DeepLearning #MachineLearning
Gkioxari et al.: https://arxiv.org/abs/1906.02739
#ArtificialIntelligence #DeepLearning #MachineLearning
arXiv.org
Mesh R-CNN
Rapid advances in 2D perception have led to systems that accurately detect objects in real-world images. However, these systems make predictions in 2D, ignoring the 3D structure of the world....
Nvidia’s StyleGAN2: Analyzing and Improving the Image Quality of StyleGAN
Paper: https://arxiv.org/pdf/1912.04958.pdf
Code: https://github.com/NVlabs/stylegan2
https://www.marktechpost.com/2019/12/13/nvidias-stylegan2-analyzing-and-improving-the-image-quality-of-stylegan/
Paper: https://arxiv.org/pdf/1912.04958.pdf
Code: https://github.com/NVlabs/stylegan2
https://www.marktechpost.com/2019/12/13/nvidias-stylegan2-analyzing-and-improving-the-image-quality-of-stylegan/
GitHub
GitHub - NVlabs/stylegan2: StyleGAN2 - Official TensorFlow Implementation
StyleGAN2 - Official TensorFlow Implementation. Contribute to NVlabs/stylegan2 development by creating an account on GitHub.
The #NeurIPS AI for social good workshop is live. Check out the live stream if you can't make it in person
https://slideslive.com/38922118/joint-workshop-on-ai-for-social-good-1
https://slideslive.com/38922118/joint-workshop-on-ai-for-social-good-1
SlidesLive
Opening Remarks
This workshop builds on our AI for Social Good workshop at NeurIPS 2018, ICLR 2019 and ICML 2019.
The accelerating pace of intelligent system research and real world deployment presents three clear...
The accelerating pace of intelligent system research and real world deployment presents three clear...
Yoshua Bengio: From Deep Learning To Consciousness
https://www.robinly.info/post/yoshua-bengio-from-deep-learning-to-consciousness
https://www.robinly.info/post/yoshua-bengio-from-deep-learning-to-consciousness
Robin.ly
Yoshua Bengio: From Deep Learning To Consciousness
Yoshua Bengio was interviewed by MIT professor Song Han at NeurIPS 2019 to share in-depth insights on the deep learning trend toward consciousness, carbon footprints from computing models, and advice for young researchers.
Artist in the Cloud
Towards the summit of AI, art, and autonomy
Gene Kogan : https://medium.com/@genekogan/artist-in-the-cloud-8384824a75c7
#ArtificialIntelligence #MachineLearning #Cryptoeconomics #Decentralization #Art
Towards the summit of AI, art, and autonomy
Gene Kogan : https://medium.com/@genekogan/artist-in-the-cloud-8384824a75c7
#ArtificialIntelligence #MachineLearning #Cryptoeconomics #Decentralization #Art
Medium
Artist in the Cloud
Towards the summit of AI, art, and autonomy
Useful Models for Robot Learning
Slides by Marc Deisenroth : https://deisenroth.cc/talks/2019-12-14-neurips-ws.pdf
#ReinforcementLearning #Robotics #MetaLearning
Slides by Marc Deisenroth : https://deisenroth.cc/talks/2019-12-14-neurips-ws.pdf
#ReinforcementLearning #Robotics #MetaLearning
BMW shares AI algorithms used in production, available on GitHub
Github: https://github.com/BMW-InnovationLab
Github: https://github.com/BMW-InnovationLab
GitHub
BMW TechOffice MUNICH
This organization contains software for realtime computer vision published by the members, partners and friends of the BMW TechOffice MUNICH and InnovationLab. - BMW TechOffice MUNICH