Results


Hitting the Books: What autonomous vehicles mean for tomorrow's workforce

Engadget

In the face of daily pandemic-induced upheavals, the notion of "business as usual" can often seem a quaint and distant notion to today's workforce. But even before we all got stuck in never-ending Zoom meetings, the logistics and transportation sectors (like much of America's economy) were already subtly shifting in the face of continuing advances in robotics, machine learning and autonomous navigation technologies. In their new book, The Work of the Future: Building Better Jobs in an Age of Intelligent Machines, an interdisciplinary team of MIT researchers (leveraging insights gleaned from MIT's multi-year Task Force on the Work of the Future) exam the disconnect between improvements in technology and the benefits derived by workers from those advancements. It's not that America is rife with "low-skill workers" as New York's new mayor seems to believe, but rather that the nation is saturated with low-wage, low-quality positions -- positions which are excluded from the ever-increasing perks and paychecks enjoyed by knowledge workers. The excerpt below examines the impact vehicular automation will have on rank and file employees, rather than the Musks of the world.


smartcity OR smartcities_2022-01-13_17-24-59.xlsx

#artificialintelligence

The graph represents a network of 4,670 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 January 2022 at 01:42 UTC. The requested start date was Friday, 14 January 2022 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 5-day, 6-hour, 33-minute period from Friday, 07 January 2022 at 20:15 UTC to Thursday, 13 January 2022 at 02:48 UTC.


Challenges of Artificial Intelligence -- From Machine Learning and Computer Vision to Emotional Intelligence

arXiv.org Artificial Intelligence

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.


#selfdrivingcars_2021-12-22_05-36-02.xlsx

#artificialintelligence

The graph represents a network of 1,627 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, 22 December 2021 at 13:46 UTC. The requested start date was Wednesday, 22 December 2021 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 15-day, 4-hour, 55-minute period from Saturday, 04 December 2021 at 15:55 UTC to Sunday, 19 December 2021 at 20:50 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


Artificial Intellgence -- Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021

arXiv.org Artificial Intelligence

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.


Start-up support and plenty of new partner moves aim to make IoT work - IoT Now - How to run an IoT enabled business

#artificialintelligence

In his latest ecosystem column, Antony Savvas charts a blockbuster first couple months of the year, involving both new companies and well-established ones. Internet of Things (IoT) network provider, Sigfox has launched the second edition of its Hacking House event in Paris. For six months, participants from seven different countries will bring IoT-based projects to life addressing issues as diverse as car theft prevention and bird protection. Microsoft and Amosense are the sponsors of the latest Hacking House, which will also be supported by technology partners such as LITE-ON, Wisebatt and STMicroelectronics. The participants are divided into four teams to develop their project at Sigfox in Paris from this month to early August 2020.


Top 5 Telecom Trends to Watch in 2020 Big Data Made Simple

#artificialintelligence

Self-driving cars, home automation, virtual assistants…it's clear we've already seen some outstanding technological advances and are on the brink of more significant breakthroughs. Alain Fiocco, CTO for OVHcloud, calls 2020 "a new era" for technology. But with all new advances, which will pull ahead in 2020? Here is a breakdown of the top five telecom trends to watch for in the year ahead. Right now, the world runs on 4G, also known as LTE.


5 tech trends set to explode in your life this decade

#artificialintelligence

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.


How to invest in artificial intelligence

#artificialintelligence

The first big investment wave in tech was the personal computer. Then came software, the internet, smartphones, social media and cloud computing. The next big thing is artificial intelligence, or AI, professional stock pickers say. AI is the science-fiction-like technology in which computers are programmed to think and perform the tasks ordinarily done by humans. The size of the global AI market is expected to grow to $202.6 billion by 2026, up from $20.7 billion in 2018, according to Fortune Business Insights.


Towards a Framework for Certification of Reliable Autonomous Systems

arXiv.org Artificial Intelligence

The capability and spread of such systems have reached the point where they are beginning to touch much of everyday life. However, regulators grapple with how to deal with autonomous systems, for example how could we certify an Unmanned Aerial System for autonomous use in civilian airspace? We here analyse what is needed in order to provide verified reliable behaviour of an autonomous system, analyse what can be done as the state-of-the-art in automated verification, and propose a roadmap towards developing regulatory guidelines, including articulating challenges to researchers, to engineers, and to regulators. Case studies in seven distinct domains illustrate the article. Keywords: autonomous systems; certification; verification; Artificial Intelligence 1 Introduction Since the dawn of human history, humans have designed, implemented and adopted tools to make it easier to perform tasks, often improving efficiency, safety, or security.