Through AI Distillery we model progress within AI research globally. Keeping up-to-date with research is a challenge. We employ automatic techniques to extract information from research papers, create insights using this data, and share it with the public.⤏ Get Insights
We build intelligent agents into robots that explore home environments. We transfer from simulation to real-world robots, and challenge them to find cups in your home.⤏ From the start
A Year in Computer Vision
A thorough review publication covering many of the recent advancements and subfields in Computer Vision.
Recent Intersections Between Computer Vision and Natural Language Processing
A detailed look at progress within Visual Speech Recognition (Lip-Reading) & Image Captioning.
Introduction to Reinforcement Learning
A reinforcement learning tutorial created by MTank for Bosch in Germany, and delivered as a workshop at meetups in multiple cities. Closely aligned with Richard Sutton’s classic textbook, and David Silver’s UCL course.
RT @TheMTank: Just officially released: Side Notes: From Zero to SOTA in Reinforcement Learning Which introduces the 4 hour (+shorter ver…
Link to slides: https://t.co/bdWKbvcKot Part 1 covers the basics, core concepts and fundamentals within RL. MC, TD… https://t.co/Hn5BZ2Ud5t
Side Notes: From Zero to SOTA in Reinforcement Learning
Published: May 31, 2019
Releasing a 4 hour Reinforcement Learning course for beginners and pros
From Cups to Consciousness (Part 2): From simulation to the real world
Published: Apr 30, 2019
A task interface for AI2Thor, physics simulations and a real robot named Vector
From Cups to Consciousness (Part 1): How are cups related to intelligence?
Published: Mar 25, 2019
The philosophy within cups, language grounding and a survey of 3D environments
AI Distillery (Part 2): Distilling by Embedding
Published: Feb 26, 2019
Word embeddings (word2vec, fastText), paper embeddings (LSA, doc2vec), embedding visualisation, paper search and charts!