Welcome to AIP. - The main focus of this channel is to publicize and promote existing SoTA AI research works presented in top conferences, removing barrier for people to access the cutting-edge AI research works. - All videos are either taken from the public internet or the Creative Common licensed, which can be accessed via the link provided in the description. - To avoid conflict of interest with the ongoing conferences, all videos are published at least 1 week after the main events. A takedown can be requested if it infringes your right via email. - If you would like your presentation to be published on AIP, feel free to drop us an email. - AI conferences covered include: NeurIPS (NIPS), AAAI, ICLR, ICML, ACL, NAACL, EMNLP, IJCAI If you would like to support the channel, please join the membership: https://www.youtube.com/c/AIPursuit/join Subscribe to the channel: https://www.youtube.com/c/AIPursuit?sub_confirmation=1 Donation: Paypal ⇢ https://paypal.me/tayhengee Patreon ⇢ https://www.patreon.com/hengee Donate any cryptocurrency on BEP20 (BTC, ETH, USDT, BNB, Doge, Shiba): 0x0712795299bf00eee99f13b4cda0e19dc656bf2c BTC ⇢ 1BwE1gufcE5t1Xh4w3wQhGgcJuCTb7AGj3 ETH ⇢ 0x0712795299bf00eee99f13b4cda0e19dc656bf2c Doge ⇢ DL57g3Qym7XJkRUz5VTU97nvV3XuvvKqMX USDT (TRN20) ⇢ THV9dCnGfWtGeAiZEBZVWHw8JGdGCWC4Sh The video is reposted for educational purposes and encourages involvement in the field of AI research. ... https://www.youtube.com/watch?v=bcl4zuu_Z_s

Join the channel membership: https://www.youtube.com/c/AIPursuit/join Subscribe to the channel: https://www.youtube.com/c/AIPursuit?sub_confirmation=1 Support and Donation: Paypal ⇢ https://paypal.me/tayhengee Patreon ⇢ https://www.patreon.com/hengee BTC ⇢ bc1q2r7eymlf20576alvcmryn28tgrvxqw5r30cmpu ETH ⇢ 0x58c4bD4244686F3b4e636EfeBD159258A5513744 Doge ⇢ DSGNbzuS1s6x81ZSbSHHV5uGDxJXePeyKy Wanted to own BTC, ETH, or even Dogecoin? Kickstart your crypto portfolio with the largest crypto market Binance with my affiliate link: https://accounts.binance.com/en/register?ref=27700065 BuyMeACoffee: https://www.buymeacoffee.com/angustay ----------------------------------------------------------------------------------------- The video is reposted for educational purposes. Source: https://slideslive.com/38917949/the-promise-and-challenge-of-ml-in-selfdriving A diverse set of methods have been devised to develop autonomous driving platforms. They range from modular systems, systems that perform manual decomposition of the problem, systems where the components are optimized independently, and a large number of rules are programmed manually, to end-to-end deep-learning frameworks. Today’s systems rely on a subset of the following: camera images, HD maps, inertial measurement units, wheel encoders, and active 3D sensors (LIDAR, radar). There is a general agreement that much of the self-driving software stack will continue to incorporate some form of machine learning in any of the above mentioned systems in the future. Self-driving cars present one of today’s greatest challenges and opportunities for Artificial Intelligence (AI). Despite substantial investments, existing methods for building autonomous vehicles have not yet succeeded, i.e., there are no driverless cars on public roads today without human safety drivers. Nevertheless, a few groups have started working on extending the idea of learned tasks to larger functions of autonomous driving. Initial results on learned road following are very promising. The goal of this workshop is to explore ways to create a framework that is capable of learning autonomous driving capabilities beyond road following, towards fully driverless cars. The workshop will consider the current state of learning applied to autonomous vehicles and will explore how learning may be used in future systems. The workshop will span both theoretical frameworks and practical issues especially in the area of deep learning. ... https://www.youtube.com/watch?v=IWHUYIIn4pk