Last month in tweets – October 2019


by
07 November 2019

share this:



We have collected some of the month’s most interesting tweets about AI.

Efforts to push back harmful AI in one year

Privacy-preserving learning system for medical imaging analysis

An open-source platform to promote research and development on real-world robotics hardware

Paraphrase Adversaries from Word Scrambling (PAWS) English dataset and multilingual PAWS-X for better multilingual NLP models

Research work on an end-to-end real-time multilingual speech recognition system

A software development kit for building AI applications that merge between vision, speech, and other sensors in order to make conversations more natural

A unified model for vision-language generation tasks

Robots with dexterous hands solving Rubik’s Cube 60% of the time (20% in case of a particularly hard scramble) using reinforcement learning and Kociemba’s algorithm for choosing the steps

Addressing bias in AI

Restoring ancient inscriptions by recovering missing characters from damaged text input using deep learning

 




Nedjma Ousidhoum is PhD candidate in NLP at HKUST.




            AIhub is supported by:


Related posts :



Radical AI podcast: featuring Kate Crawford

In this episode Jess and Dylan chat to Kate Crawford about the Atlas of AI.
20 April 2021, by

AIhub – leading organisations form new charity to advance public understanding of artificial intelligence

AIhub aims to empower everyone to learn about AI. Learn more about our journey and new charity.
15 April 2021, by

Maximum entropy RL (provably) solves some robust RL problems

Nearly all real-world applications of reinforcement learning involve some degree of shift between the training environment and the testing environment, and it is increasingly important to learn policies that are robust to these changes.
14 April 2021, by


















©2021 - Association for the Understanding of Artificial Intelligence