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.
The graph represents a network of 1,583 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, 19 January 2022 at 13:47 UTC. The requested start date was Wednesday, 19 January 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 14-day, 1-hour, 46-minute period from Tuesday, 04 January 2022 at 19:34 UTC to Tuesday, 18 January 2022 at 21:20 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.
An engineer has created concept images of what the upcoming Apple Car could look like when it is finally released. Artistic renderings have been created by Devanga Borah, a mechanical engineer at Tezpur University in India, of an autonomous and fully electric vehicle. Like something out of a dystopian sci-fi film, the renderings depict a bizarre white car consisting of a spherical pod that swivels around 360-degrees on four wheels. The pod has a circular entrance that flings open like a couple of saloon doors to reveal'a cocoon-like cockpit' with two seats. Reminiscent of Apple's eMac computer from 2002, the vehicle is painted in glossy white and features the Apple logo between the front and back sets of wheels.
Despite all the stories about big companies bailing out of CES 2022 amidst the latest surge in COVID-19 cases, the consumer electronics show in Las Vegas is still the place to be for robots, autonomous vehicles, smart gadgets, and their inventors -- an opportunity to take stock of what's required to build practical machine intelligence into a consumer product. OrCam and Sonatus are among the companies no longer planning to travel to Las Vegas or announce products at CES, and it's possible some of the other vendors VentureBeat interviewed in advance of the event will also be no-shows. Big names like Microsoft, Google, Intel, Amazon, and T-Mobile backed out in recent weeks. Augmented reality, virtual reality, and the metaverse will be topics of discussion that will have to proceed without Meta (the company formerly known as Facebook). Automotive tech will be a big theme of the event, but General Motors, BMW, and Mercedes-Benz decided not to make the drive (GM's all-digital presence is still supposed to include a video keynote from CEO Mary Barra on Wednesday).
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 close of 2021 finds Tesla wealthier than ever -- and, in CEO Elon Musk's case, wealthier than everybody else. The electric vehicle manufacturer notched records for both deliveries and profits this year despite a global chip shortage that decimated supply chains worldwide, effectively kneecapping the rest of the automotive industry's production capacity. However its financial successes were often overshadowed by Tesla's continuing production quality issues, multiple NHTSA and SEC investigations, high profile failures of its vaunted "Full Self Driving" system, as well as numerous vehicle recalls and delays for upcoming models. And with existing industry stalwarts like Ford, GM, Honda and the Volkswagen Group making concerted efforts to electrify their own offerings, could 2022 be the year that Tesla's reign as top EV automaker finally ends? The company entered this year having met its 2020 goal of producing a half-million vehicles (of which it delivered 499,550 to customers), a nearly 133,000 unit increase over 2019.
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.
Tesla's goal to release its level 5 Full Self Driving (FSD) mode autopilot capability in 2021 was deemed unrealistic by the CEO of competitor Waymo in a recent interview. Tesla is the only autonomous vehicle manufacturer using real-time cameras, rather than pre-mapped Lidar (Light Detection and Ranging) to guide vehicle movement. Tesla also uses its own AI chips, developed after early experience with NVIDIA chips. "It is a misconception that you can simply develop a driver-assistance system further until one day you can magically jump to a fully autonomous driving system," stated John Krafcik, CEO of Waymo, the self-driving startup spun off from Google's X lab, in a recent interview with German business magazine Manager Magazin, reported in Observer. Krafcik acknowledged that Tesla "is developing a really good driver assistance system," but very different.
Tesla stock (NASDAQ: TSLA) is up by almost 60% year-to-date, with its market cap crossing the rarefied $1 trillion mark recently. The run-up is partly due to Tesla's solid execution, with deliveries for this year poised to grow by almost 70% to about 850,000 vehicles, despite the ongoing semiconductor shortage. Tesla's sizable lead in the self-driving market has also traditionally been a very big driver of the company's valuation. So how far ahead is Tesla's self-driving system versus peers, and how does it stack up versus driver-driven vehicles. See our dashboard analysis on Just How Far Ahead Is Tesla In The Self-Driving Race? for more details.