Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Artificial Intelligence Podcast
https://www.youtube.com/watch?v=yCd3CzGSte8
https://www.youtube.com/watch?v=yCd3CzGSte8
YouTube
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21
How to tell whether machine-learning systems are robust enough for the real world
http://news.mit.edu/2019/how-tell-whether-machine-learning-systems-are-robust-enough-real-worl-0510
http://news.mit.edu/2019/how-tell-whether-machine-learning-systems-are-robust-enough-real-worl-0510
MIT News
How to tell whether machine-learning systems are robust enough for the real world
MIT researchers have devised a method that detects inputs called “adversarial examples” that cause neural networks to misclassify inputs, to better measure how robust the models are for various real-world tasks.
Simulating Grains of Sand, Now 6 Times Faster
https://www.youtube.com/watch?v=e_9f5Z0sMYE
https://www.youtube.com/watch?v=e_9f5Z0sMYE
YouTube
Simulating Grains of Sand, Now 6 Times Faster
📝 The paper "Hybrid Grains: Adaptive Coupling of Discrete and Continuum Simulations of Granular Media" is available here:
http://www.cs.columbia.edu/~smith/hybrid_grains/
❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers…
http://www.cs.columbia.edu/~smith/hybrid_grains/
❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers…
Cyber Insects
Artificial Intelligence for creating cyber incests
https://towardsdatascience.com/cyber-insects-cb2ce599ca85?source=collection_home---4------4---------------------
Artificial Intelligence for creating cyber incests
https://towardsdatascience.com/cyber-insects-cb2ce599ca85?source=collection_home---4------4---------------------
Towards Data Science
Cyber Insects
Artificial Intelligence for creating cyber insects
Generating Game of Thrones Characters Using StyleGAN
article: https://blog.nanonets.com/stylegan-got/
gitHub repo: https://github.com/iyaja/stylegan-encoder
article: https://blog.nanonets.com/stylegan-got/
gitHub repo: https://github.com/iyaja/stylegan-encoder
How to become an expert in NLP in 2019 (1)
https://medium.com/@kushajreal/how-to-become-an-expert-in-nlp-in-2019-1-945f4e9073c0
https://medium.com/@kushajreal/how-to-become-an-expert-in-nlp-in-2019-1-945f4e9073c0
Medium
How to become an expert in NLP in 2019 (1)
Complete list of resources that will provide you with all the theoretical background in the latest NLP research and techniques.
OpenAI Five Beats World Champion DOTA2 Team 2-0
https://www.youtube.com/watch?v=tfb6aEUMC04
https://www.youtube.com/watch?v=tfb6aEUMC04
YouTube
OpenAI Five Beats World Champion DOTA2 Team 2-0! 🤖
Check out Lambda Labs here: https://lambdalabs.com/papers
OpenAI's blog post: https://openai.com/blog/openai-five-finals/
Reddit AMA: https://old.reddit.com/r/DotA2/comments/bf49yk/hello_were_the_dev_team_behind_openai_five_we/
Reddit discussion on buybacks:…
OpenAI's blog post: https://openai.com/blog/openai-five-finals/
Reddit AMA: https://old.reddit.com/r/DotA2/comments/bf49yk/hello_were_the_dev_team_behind_openai_five_we/
Reddit discussion on buybacks:…
Human Visual Understanding for Cognition and Manipulation — A primer for the roboticist
https://arxiv.org/abs/1905.05272
https://arxiv.org/abs/1905.05272
arXiv.org
Human Visual Understanding for Cognition and Manipulation -- A...
Robotic research is often built on approaches that are motivated by insights
from self-examination of how we interface with the world. However, given
current theories about human cognition and...
from self-examination of how we interface with the world. However, given
current theories about human cognition and...
Advancing AI by teaching robots to learn
https://ai.facebook.com/blog/advancing-ai-by-teaching-robots-to-learn
https://ai.facebook.com/blog/advancing-ai-by-teaching-robots-to-learn
Facebook
Advancing AI by teaching robots to learn
Facebook AI is pursuing research projects in robotics learning that will lead to AI that can learn more efficiently and better generalize to new applications.
The Dangers of AI Learning Prejudices Automatically
https://towardsdatascience.com/the-dangers-of-ai-learning-prejudices-automatically-6cbd0ab1f2ae
https://towardsdatascience.com/the-dangers-of-ai-learning-prejudices-automatically-6cbd0ab1f2ae
Towards Data Science
The Dangers of AI Learning Prejudices Automatically
Read the news and you read about the great successes and developments that have occurred within the field of machine learning and…
The Simpsons meets Data Visualization
https://towardsdatascience.com/the-simpsons-meets-data-visualization-ef8ef0819d13?source=collection_home---4------0---------------------
https://towardsdatascience.com/the-simpsons-meets-data-visualization-ef8ef0819d13?source=collection_home---4------0---------------------
Towards Data Science
The Simpsons meets Data Visualization
Teasing out insights from one of one of the most prominent animated television shows of the past three decades.
Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction
http://ai.googleblog.com/2019/05/moving-camera-moving-people-deep.html
http://ai.googleblog.com/2019/05/moving-camera-moving-people-deep.html
research.google
Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction
Posted by Tali Dekel, Research Scientist and Forrester Cole, Software Engineer, Machine Perception The human visual system has a remarkable abili...
Getting to Know You: Designing Trustworthy Artificial Personalities
https://medium.designit.com/getting-to-know-you-designing-trustworthy-artificial-personalities-c108bdbbbf83
https://medium.designit.com/getting-to-know-you-designing-trustworthy-artificial-personalities-c108bdbbbf83
Medium
Getting to Know You: Designing Trustworthy Artificial Personalities
Chatbots are here to stay. How can we create task-oriented but not transactional bots?
Deep Learning lecture
The full deck of (600+)
https://glouppe.github.io/info8010-deep-learning/pdf/lec-all.pdf
The full deck of (600+)
https://glouppe.github.io/info8010-deep-learning/pdf/lec-all.pdf
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Article : https://arxiv.org/abs/1905.08233
Video: https://youtu.be/p1b5aiTrGzY
Article : https://arxiv.org/abs/1905.08233
Video: https://youtu.be/p1b5aiTrGzY
Bringing human-like reasoning to driverless car navigation
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
http://news.mit.edu/2019/human-reasoning-ai-driverless-car-navigation-0523
Autonomous control system “learns” to use simple maps and image data to navigate new, complex routes.
http://news.mit.edu/2019/human-reasoning-ai-driverless-car-navigation-0523
MIT News
Bringing human-like reasoning to driverless car navigation
To bring more human-like reasoning to autonomous vehicles, MIT CSAIL researchers created an end-to-end autonomous navigation system that uses only simple maps, like Google Maps, and visual data to enable driverless cars to navigate routes in new, complex…