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You could be forgiven for believing that we've already achieved the era of autonomous vehicles. Tesla, the electric car manufacturer run by Elon Musk, refers to a version of its Autopilot software as "Full Self Driving". The company released a (misleadingly edited) video of an autonomous vehicle navigating city streets, its drivers' hands on their lap – a style replicated by enthusiasts. Musk has repeatedly assured in speeches and interviews that autonomous vehicles were one to two years away – or, as he put it in 2015, a "solved problem" because "we know what to do and we'll be there in a few years." But the existing Autopilot technology has not yet realized those promises and, as a new New York Times documentary illustrates, the gap in expectation and reality has led to several deadly crashes.
The graph represents a network of 1,840 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 April 2022 at 12:47 UTC. The requested start date was Wednesday, 20 April 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 25-day, 6-hour, 8-minute period from Friday, 25 March 2022 at 15:16 UTC to Tuesday, 19 April 2022 at 21:24 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.
Car manufacturers are facing some of the biggest changes their sector has seen, with the shift to electric vehicles, the development of self-driving cars and a potential threat from electric air taxis that may one day replace some of today's car journeys across congested cities. Partnerships with startups are a good way for carmakers to make sure they can get expertise in these emerging areas, and Sifted was interested in looking at how the different car brands compare in their willingness to invest in startups in strategic areas. What emerges is a picture of European carmakers at the middle to bottom of the pack in terms of the number of startups they have invested in. The one exception is Mercedes-Benz, which has a portfolio of 42 startup investments, second only to Hyundai. Mercedez-Benz's investments are across the board, from a holding in delivery robot company Starship to flying taxi company Volocopter, which looks like it may be one of the first to get passenger services up and running, starting with demo flights at the Paris Olympics in 2024. One area where there is no notable startup investment from Daimler is hydrogen-fuelled vehicles.
The graph represents a network of 1,690 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 March 2022 at 12:47 UTC. The requested start date was Wednesday, 23 March 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 18-day, 14-hour, 47-minute period from Friday, 04 March 2022 at 09:12 UTC to Wednesday, 23 March 2022 at 00:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.
As early as October 2016, Musk bragged that his models were equipped for autonomous driving. To be chauffeured across the U.S. in a driverless car, he said, a Tesla owner doesn't even need to visit a garage. He or she, he claimed, just needs a few digital updates that Tesla can apply to its fleet "over-the-air," a process not so different from software updates for smartphones. The American company claims on its website to this day that standard Tesla models come equipped with hardware that makes "Full Self-Driving" possible and that the next technological level would require no more than a software update. That claim is central to Tesla's sales pitch, but the California company is seemingly no longer able to keep that promise, or at least part of it.
The graph represents a network of 1,623 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 02 February 2022 at 13:49 UTC. The requested start date was Wednesday, 02 February 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 17-day, 22-hour, 51-minute period from Friday, 14 January 2022 at 22:39 UTC to Tuesday, 01 February 2022 at 21:31 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.
More Chinese automakers collaborating on EVs -- The automotive industry has entered into an intense era of collaboration among carmakers, technology giants, and even software start-ups, among others. This trend comes as countries, including China, accelerate into increased usage of EVs and AVs. Numerous partnerships have sprouted up in the past year, adding density and life to this ecosystem. Among Chinese automakers themselves, a handful of significant partnerships were made to accelerate the developments of EVs and AVs within the country. In fact, China is shaping up to be the first real test of Big Tech's ambitions in the world of car making.
Artificial intelligence (AI) has become a part of everyday conversation and our lives. It is considered as the new electricity that is revolutionizing the world. AI is heavily invested in both industry and academy. However, there is also a lot of hype in the current AI debate. AI based on so-called deep learning has achieved impressive results in many problems, but its limits are already visible. AI has been under research since the 1940s, and the industry has seen many ups and downs due to over-expectations and related disappointments that have followed. The purpose of this book is to give a realistic picture of AI, its history, its potential and limitations. We believe that AI is a helper, not a ruler of humans. We begin by describing what AI is and how it has evolved over the decades. After fundamentals, we explain the importance of massive data for the current mainstream of artificial intelligence. The most common representations for AI, methods, and machine learning are covered. In addition, the main application areas are introduced. Computer vision has been central to the development of AI. The book provides a general introduction to computer vision, and includes an exposure to the results and applications of our own research. Emotions are central to human intelligence, but little use has been made in AI. We present the basics of emotional intelligence and our own research on the topic. We discuss super-intelligence that transcends human understanding, explaining why such achievement seems impossible on the basis of present knowledge,and how AI could be improved. Finally, a summary is made of the current state of AI and what to do in the future. In the appendix, we look at the development of AI education, especially from the perspective of contents at our own university.
Like a heat mirage shimmering over the road ahead, Apple's much-awaited contribution to the electric car market has been teasing us from the horizon since rumours of its development first emerged back in late 2014. Despite having the potential to be the California-based firm's biggest project yet, both figuratively and literally, precious little has been officially revealed about the plans for the Apple Car. Nevertheless, signs of development are abound, from the firm's apparent ongoing tests of self-driving software around Cupertino via a fleet of sensor-laden Lexus SUVs to the filing of an assortment of suggestive patents. Based on these, experts have anticipated what the Apple Car could look like and the revolutionary features it might sport, from a customisable touchscreen dashboard to a Siri-like'intelligent automated assistant'. Brought to life by artists with the UK car leasing firm Vanarama, the gorgeous mock-up has the sleek, minimalist lines that make Apple's tech offerings so distinctive, down to the glowing Apple logo on the radiator grille.
The TriRhenaTech alliance presents the accepted papers of the 'Upper-Rhine Artificial Intelligence Symposium' held on October 27th 2021 in Kaiserslautern, Germany. Topics of the conference are applications of Artificial Intellgence in life sciences, intelligent systems, industry 4.0, mobility and others. The TriRhenaTech alliance is a network of universities in the Upper-Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, Offenburg and Trier, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes \'ecoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.