<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><font class="" style="font-family: ArialMT;">New Royal Society volume: </font><div class="" style="font-family: ArialMT;"><font class=""><br class=""></font></div><div class="" style="font-family: ArialMT;"><b class="">NEW APPROACHES TO 3D VISION </b></div><div class="" style="font-family: ArialMT;"><span class=""><br class=""></span></div><div class="" style="font-family: ArialMT;"><span class="">On <b class="">AI</b>, <b class="">Animal Navigation</b>, and <b class="">Human Vision</b></span></div><div class="" style="font-family: ArialMT;"><font class=""><br class=""></font></div><div class="" style="font-family: ArialMT;"><font class="">Edited by Paul Linton, Michael Morgan, Jenny Read, Dhanraj Vishwanath, Sarah Creem-Regehr, and Fulvio Domini</font></div><div class="" style="font-family: ArialMT;"><font class=""><br class=""></font></div><div class="" style="font-family: ArialMT;"><font class=""><i class="">New approaches to 3D vision are enabling new advances in artificial intelligence and autonomous vehicles, a better understanding of animal navigation, and new insights into human perception in virtual and augmented reality. Traditionally, it’s thought that 3D vision relies on recreating an accurate 3D model of the world. But the new approaches to 3D vision explored in this volume challenge this assumption. Instead, they investigate the possibility that computer vision, animal navigation, and human vision can rely on partial or distorted models, or no model at all. This theme issue also highlights the implications for artificial intelligence, autonomous vehicles, human perception in virtual and augmented reality, and the treatment of visual disorders, all of which are explored by individual articles.</i></font></div><div class="" style="font-family: ArialMT;"><span class=""><br class=""></span></div><div class="" style="font-family: ArialMT;"><span class=""><b class="">Link to Volume</b>: <a href="https://royalsocietypublishing.org/toc/rstb/2023/378/1869" class="">https://royalsocietypublishing.org/toc/rstb/2023/378/1869</a> </span></div><div class="" style="font-family: ArialMT;"><span class=""><br class=""></span></div><div class="" style="font-family: ArialMT;"><span class="">Based on Scientific Meeting with over 800 attendees, </span><font class="">with speakers from DeepMind, Google Robotics, Microsoft Research, and Meta (Facebook) Reality Labs, as well as academics from both basic and applied research.</font></div><div class="" style="font-family: ArialMT;"><span class=""><br class=""></span></div><div class="" style="font-family: ArialMT;"><span class=""><b class="">Link to Recordings</b>: </span><font class=""><a href="https://royalsociety.org/science-events-and-lectures/2021/11/3d-vision/" class="">https://royalsociety.org/science-events-and-lectures/2021/11/3d-vision/</a> </font></div><div class="" style="font-family: ArialMT;"><br class=""></div><div class="" style="font-family: ArialMT;"></div></body></html>