January 25th, 2020 | by Michael Barnard
The varied techniques and technologies in the category of machine learning have become much more accessible to many more researchers and are enabling massive gains in climate and environmental research. Global policy and local budgetary and response practices are increasingly informed by this transformative approach.
November 10th, 2019 | by Chanan Bos
There are about 100 companies out there developing eVTOL (electric vertical take off and landing) vehicles, but there are only a handful of companies developing the AI that will power them and one day turn them into robotaxis, autonomous delivery drones, and any other airborne function that does not require a pilot. One of the leaders in this field is Daedalean, a company best in Switzerland
October 28th, 2019 | by Maarten Vinkhuyzen
Tesla Full Self Driving (FSD) might be feature complete by the end of this year. That means a Tesla will be able to drive itself in normal traffic from one location to another, using highways when needed, but in a rudimentary way. As a human driver with a learner's permit, who is allowed to drive but only with an experienced driver beside him or her who can intervene when needed, these Tesla vehicles have to be monitored by a normal human driver
October 18th, 2019 | by Michael Barnard
What would the neural net architecture and training look like for the AI velociraptor of Michael Bay's dreams
October 17th, 2019 | by Maarten Vinkhuyzen
Some argue that Tesla Smart Summon should not be released because it is "beta" software. That is not a strong argument. According to Lifewire.com: Beta refers to the phase in software development between the alpha phase and the release candidate phase. Beta software is generally considered "complete" by the developer but still not ready for general use due to a lack of testing "in the wild."
August 1st, 2019 | by Guest Contributor
As you read this, Tesla’s vehicles are out there on the world’s roads, learning, learning. Like precocious children, they’re steadily building a mental image of the world around them, a body of knowledge that forms the heart of Tesla’s Autopilot suite of features.
April 13th, 2019 | by Jennifer Sensiba
Elon Musk and Tesla have been making big promises about Full Self Driving for years, but recent announcements show us that they are confident enough to bet big on it within 3 years. They wouldn’t be this confident if they didn’t have it largely finished, and will probably be showing us something exciting on the 22nd
August 2nd, 2018 | by Paul Fosse
Editor's note: Paul Fosse is the kind gentleman who eagerly drove his brand new Tesla Model 3 from Tampa to Sarasota, Florida, to let me test drive it. I later found out he was a software engineer and today realized he could provide great context and insight into software and hardware matters related to Tesla, Waymo, and others. His debut article is below, covering the insane Tesla Autopilot news coming out of Tesla's quarterly conference call. Enjoy!
June 11th, 2018 | by Kyle Field
Tesla's Director of AI, Andrej Karpathy, took to the stage at TRAIN AI 2018 and then proceeded to unpack the company's approach to building its Autopilot computer vision solution. His talk was titled, "Building the Software 2.0 Stack." Andrej took on the task of delineating traditional rule-based programming methods from the programming methods used when a neural network — also known as machine learning or artificial intelligence — runs the show. In typical internet lingo, he dubs neural net programming software 2.0, with rule-based programming taking up the software 1.0 moniker
December 30th, 2017 | by Matthew Klippenstein
Episode #43 of Cleantech Talk is here! This episode covers accident liability for self-driving cars, the EV tax credit, and fuel cells’ exponential ramp
September 9th, 2014 | by Joshua S Hill
Much has been made of the needs of the electricity grid as more and more renewables with their inherent fluctuations [&hellip
