Autonomous Vehicles — LDV Capital Blog on Visual Technologies and AI — LDV Capital
LDV Blog
Every robot, drone, self-driving car, delivery bot, and surgical assistant that claims “intelligence” is fundamentally a product of visual and/or electromagnetic perception systems. The success of Physical AI doesn’t start with neural networks or GPUs – it starts with cameras, sensors, and spectral scanners that give machines their first sense of reality.
Physical AI will not succeed until machines can truly see.
Our second interview in Women Leading Visual Tech series is with Dr. Michal Lipson.
Michal is the Eugene Higgins Professor of Electrical Engineering at Columbia University and a member of the National Academy of Science. Her research work is focused on nanophotonics.
Viorica Patraucean is a Research Scientist at Google DeepMind. At our Vision Summit 2018, she enlightened us with her recent work on massively parallel video nets and how it’s especially relevant for real-world low-latency/low-power applications.
Raquel Urtasun is a recipient of the NVIDIA Pioneers of AI Award, three Google Faculty Research Awards, and several more. She lectures at the University of Toronto and the Vector Institute and is the head of Uber ATG, Toronto. At our LDV Vision Summit 2017, she spoke about how autonomous vehicles with human perception will make our cities smarter and better to live in.