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.
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.
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.
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 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.
If you sent me a message on Twitter, email or pigeon post, please give me a few days to dig out of the pile that awaits me. You might recall that I mentioned I was off to do some backpacking and climbing in Grand Teton National Park and then eventually would make it to Yellowstone National Park. Yes, the crowds were real, especially for those who stuck to the traditional schedule of sightseeing between 9 a.m. and 5 p.m. I took the early morning and late evening approach and never encountered the infamous parking lot traffic jams. It's that tactic that allowed me to take a ride in an empty T.E.D.D.Y., the autonomous vehicle that is being piloted in Yellowstone this summer.
Hyundai and Apple might not be wasting much time with their electric car discussions. As Reuters reports, Korea IT News has claimed that the two companies plan to sign a partnership for self-driving electric cars by March. Production would start at Kia's factory in the state of Georgia, with roughly 100,000 EVs rolling off the line as soon as 2024. A "beta" Apple car could be ready in 2022, the Korean news outlet said. Reuters previously said Apple's vehicle might lean on cutting-edge battery technology that would extend range, improve safety and avoid the use of cobalt.
Back in March 1976, a story by Tony Curtis – no, not that one – appeared in Wheels. 'In The Year 2025' was a bit of a depressing read, to be honest. Inspired by Orwell's 1984, the author told a tale of all private motor vehicles being banned by the overarching hand of the state by 1985. Swing and a miss there. Yet glance through the 1976 issue and some things are all too familiar.
The average time-frame of tech disruption in our lives has significantly diminished and things are changing at a rapid scale. In a span of few years, gadgets such as MP3 players, compact digital cameras, scanners, CDs, fax machines and several others have more or less disappeared. On the other hand, new-age technologies like Artificial Intelligence (AI) and Machine Learning (ML), data analytics, Internet of Things (IoT), content streaming, automation, robotics and 5G have been growing in leaps and bounds to make our lives better. Let's take a look at five tech trends that are expected to explode in the decade that has just begun. Imagine a chip that can perform target computation in 200 seconds, which would otherwise take the world's fastest supercomputer 10,000 years.
Products/Services Visa agreed to acquire the token and electronic ticketing business of Rambus for $75 million in cash. The business involved is part of the Smart Card Software subsidiary of Rambus. It includes the former Bell ID mobile-payment businesses and the Ecebs smart-ticketing systems for transit providers. Meanwhile, Rambus expanded its CryptoManager Root of Trust product line. "Security is a mission-critical imperative for SoC designs serving virtually every application space," Neeraj Paliwal, vice president of products, cryptography at Rambus, said in a statement.