Cars That Think
JANUARY 6, 2023
In the IEEE Standards Association ’s continued effort to help organizations create a safe, secure, privacy-preserving digital environment for youngsters, it recently released the second edition of “Applied Case Studies for Designing Trustworthy Digital Experiences for Children.” Fill out this form to receive links to download the PDF reports.
Green Car Congress
NOVEMBER 23, 2020
The Architecture Reference for Cooperative and Intelligent Transportation (ARC-IT) version 9.0 is a major release of the US National ITS Architecture Reference that fully defines and upgrades the four architecture views that were initially defined in ARC-IT 8.0. Users of version 7.1 As with version 8.3,
EV Central
JULY 5, 2023
But it turns out there is one machine that becomes insanely frightening as soon as it exceeds walking speeds – a self-driving taxi, or AV (Autonomous Vehicle) as the cool folks in San Francisco, for whom they are already a way of life, refer to them.
Cars That Think
MARCH 6, 2024
And maybe the problem— again, it’s a dark matter problem, not so much the car at the center, but this sort of infrastructure— just talk a little bit about Bob’s book, which is, by the way, free to download, and we’ll have the link in the show notes. Not in terms of personal projects, but certainly for commercial environments.
Green Car Congress
OCTOBER 18, 2011
In the US, DSRC refers generically to communications on a dedicated 5.9 GHz frequency band reserved using the Wireless Access in Vehicular Environments (WAVE) protocols defined in the IEEE 1609 standard and its subsidiary parts. These protocols build on the established IEEE 802.11 standards for Wi-Fi wireless networking.
Cars That Think
OCTOBER 14, 2023
The phrase refers to how the AI software iterates through design mutations and converges on high-performing designs. In these kinds of engineering environments, co-designing with generative AI, high-quality, structured data, and well-studied parameters can clearly lead to more creative and more effective new designs.
Cars That Think
FEBRUARY 9, 2022
Ng: This is a term coined by Percy Liang and some of my friends at Stanford to refer to very large models, trained on very large data sets, that can be tuned for specific applications. The dominant paradigm over the last decade was to download the data set while you focus on improving the code.
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