description: a car that is capable of operating without human intervention by using various sensors and machine learning algorithms.
462 results
by David Pogue · 10 Mar 2026 · 686pp · 216,944 words
Box” (Esquire), 9 Secure Enclave feature, 503 Securities and Exchange Commission (SEC), 54, 345, 435 security, 503 Segall, Ken, 305–7, 322–23, 344, 371 self-driving cars, 497–500 selfies, 384, 422, 526 sensors accelerometer, 480, 528, 543 Apple Watch, 527–28 for autonomous vehicles, 498 gyroscope, 480, 528, 543 iPhone, 412
by Peter H. Diamandis and Steven Kotler · 13 Apr 2026 · 225pp · 76,418 words
crawled along at 1.9 miles per hour—roughly the speed of a distracted toddler. It was a start. The project laid the groundwork for self-driving cars like Waymo and Tesla, and hinted at the first wave of demonetization, as advances in algorithms, sensors, and processing power started to bring down costs
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Are Really Going to Go Ballistic Next Year,’ ” Fortune, January 30, 2025, https://fortune.com/2025/01/30/elon-musk-reveals-massive-plans-tesla-optimus-self-driving-cars-humanoid-robots/. Amazon and Agility Robotics: Truman Lewis, “Report Says Amazon Developing Humanoid Delivery Robots,” Consumer Affairs, June 5, 2025, https://www.consumeraffairs.com/news
by Jacob Siegel · 24 Mar 2026 · 348pp · 103,246 words
surface could, in principle, be applied to penetrate its depths. Every time a person interacted with their smartphone or laptop, they became a kind of self-driving car, mapping the terrain of their own existence and sending coordinates back to the mothership. * * * Jared Cohen was a trailblazer in the information empire. Raised in
by Sebastian Mallaby; · 30 Mar 2026 · 607pp · 161,998 words
pitch: OpenAI should spin into Tesla. Initially, OpenAI’s team could accelerate Tesla’s development of autonomous vehicles. Next, it could use the profits from self-driving cars to fund its AGI moon shot. “Tesla is the only path that could even hope to hold a candle to Google,” Musk declared. “Even then
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REFERENCE 1 Metz reports that, also in late 2014, Musk called Yann LeCun about trying to hire the best AI talent to lead Tesla’s self-driving car initiative. See Cade Metz, Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World (Dutton, 2021), 152–56. On Musk’s contrasting
by Ted Books · 20 Feb 2013 · 83pp · 23,805 words
has occurred in transportation. In the very near future, cars will communicate with other cars to improve the safety and flow of traffic. Google’s self-driving car is one high-profile example, but another project, run by the U.S. National Highway Traffic Safety Administration (NHTSA), is a more likely predictor of
by Nicolas Pineault · 6 Dec 2017
. 195 I won’t even tell him that while the imminent rollout of the next-generation 5G cellular network will enable incredible technological advances like self-driving cars,526 smart cities filled with billions of sensors forming what’s called “The Internet Of Things” (IoT)527 and make clean energy cheaper than coal528
by Culture Smart! · 15 Jun 201 · 124pp · 37,476 words
seriously and will often refuse to let you out of their sight. International driver’s licenses are not accepted and there are no facilities for self-drive cars. Only resident foreigners who have taken a local driving test can drive; heads of international organizations and diplomatic missions are exempt from taking the test
by Dietrich Vollrath · 6 Jan 2020 · 295pp · 90,821 words
. The slowdown in productivity growth does not mean that we have become less inventive or capable. From the other side, advances in exciting new technologies—self-driving cars, genetic editing, biofuel—don’t necessarily mean anything for the productivity growth rate. I have no clue what future technologies will look like or what
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is warranted with respect to technological change in general. There are, without a doubt, an incredible number of new and improved technologies arriving every day. Self-driving cars, gene editing, low-cost solar panels, more efficient batteries, biofuel, quantum computers, 3-D printing of metals, artificial intelligence, and on and on and on
by Ryan Mitchell · 14 Jun 2015 · 255pp · 78,207 words
time and timeout can be easily adjusted up or down as needed. Handling Redirects | 159 CHAPTER 11 Image Processing and Text Recognition From Google’s self-driving cars to vending machines that recognize counterfeit cur‐ rency, machine vision is a huge field with far-reaching goals and implications. In this chapter, we will
by Jeremy Howard, Mike Loukides and Margit Zwemer · 23 Mar 2012 · 23pp · 5,264 words
of the solution, but it no longer stands on its own; as products become more sophisticated, it disappears into the plumbing. Someone using Google’s self-driving car is completely unaware of the hundreds (if not thousands) of models and the petabytes of data that make it work. But as data scientists build
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predict the effects of steering, braking and acceleration, and pattern recognition algorithms to interpret data from the road signs. As one engineer on the Google self-driving car project put it in a recent Wired article, “We’re analyzing and predicting the world 20 times a second.” What gets lost in the quote
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right turn at 55 mph in these weather conditions, will it skid off the road? Merely predicting what will happen isn’t good enough. The self-driving car needs to take the next step: after simulating all the possibilities, it must optimize the results of the simulation to pick the best combination of
by Robert H. Latiff · 25 Sep 2017 · 158pp · 46,353 words
by Calestous Juma · 27 May 2017
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by Benjamin H. Bratton · 19 Feb 2016 · 903pp · 235,753 words
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