From the ArXiv: 25 https://t.co/SUI3hGvctM
Fast and accurate prediction of pedestrian behaviour is essential for driverless cars to succeed.
Thanks Prateek Agrawal and @prprbr at @volkswagen#FTArXiV#AI#driverless
Super excited to present our research on single shot spatial-temporal multitask networks for joint perception and prediction at the NeurIPS 2020 Workshop on ML for Autonomous Driving.
Link: https://t.co/dV7Qfi3pqm
#NeurIPS2020#AutonomousVehicles#ML#AI#DeepLearning
Excited to speak at Autonomous Vehicles Silicon Valley (AVSV) 2020 today. I'll be talking about some of the critical challenges (along with some of our proposed research solutions) in testing, deploying and scaling data driven AI modules for autonomous applications.
#avsv20
Github reading lists with 'awesome' prefixes are really awesome. In this spirit, I am sharing a list of resources on a continual/lifelong machine learning. It's still fairly new and has ways to go.
https://t.co/wPgbXPBILS
#ContinualAI#lifelonglearning
#Odisha has been devastated by #CycloneFani. Please help rebuild precious lives with your online contribution to Chief Minister Relief Fund via link: https://t.co/C2LrUttIsr
We've trained an unsupervised language model that can generate coherent paragraphs and perform rudimentary reading comprehension, machine translation, question answering, and summarization — all without task-specific training: https://t.co/sY30aQM7hU
Self-driving cars will be one of the most important AI applications in the world. Want to study this topic? Check out the Self-Driving Car specialization on @coursera, offered by @UofT! https://t.co/9NeGryfdNu