Many thanks to MEMS Journal for inviting us to present at the 2017 Automotive Sensors and Electronics Conference. We don’t believe the marketing hype that training a deep neural network running on an automotive supercomputer will deliver reliable, safe, mainstream autonomous vehicles. So we presented the counter case: pushing intelligence to the sensors and fusing classifiers, not raw data, on a substantially less powerful central ECU. Rather than cries of heresy from the audience of OEM and tier supplier engineers we got nods of agreement as they had largely reached the same conclusions. All of the presentations from the conference are available here, lots of useful insight.
Invision.ai joins founders from around the world June 19-23 in the Waterloo Region as part of the Google for Entrepreneurs Exchange program. The focus of the program will be: ‘Building and Connecting the Best Data-Driven and A.I. Led Startups.’
AI With The Best third edition is a two-day online conference tailored for developers wanting to strengthen their AI tech skills, get insights from the gurus of the AI universe applying the technology, and enjoy an interactive, empowering experience while connecting with AI developer peers from all over the world.
TU Automotive article on taking autonomous vehicle technology mainstream.
We are named as one of the vision AI start-ups that matter most by Chris Rowen, PhD, FIEEE CEO Cognite Ventures.
CB Insights recently reported that a record high of $1,049 million was invested across 87 automotive technology deals in 2016, representing a 91% rise in funding over the previous year.
Coming this January, the North American International Auto Show (NAIAS), one of the most prestigious auto shows in the world, will be providing access to automotive products, technologies, people and ideas that matter most – all from downtown Detroit, the heart of the automotive industry. Techstars Mobility announced their partnership with NAIAS to bring select startups to the auto show and demo their innovative mobility technologies as part of AutoMobili-D.
Autobolg article on how we are bringing its affordable, machine-learning, motion-sensing technology to any camera, from cars to smartphones.