Koomey's law This law posits that the energy efficiency of computation doubles roughly every one-and-a-half years (see Figure 1–7). In other words, the energy necessary for the same amount of computation halves in that time span. To visualize the exponential impact this has, consider the face that a fully charged MacBook Air, when applying the energy efficiency of computation of 1992, would completely drain its battery in a mere 1.5 seconds. According to Koomey's law, the energy requirements for computation in embedded devices is shrinking to the point that harvesting the required energy from ambient sources like solar power and thermal energy should suffice to power the computation necessary in many applications. Metcalfe's law This law has nothing to do with chips, but all to do with connectivity. Formulated by Robert Metcalfe as he invented Ethernet, the law essentially states that the value of a network increases exponentially with regard to the number of its nodes (see Figure 1–8).
Uber has unveiled plans to trial autonomous'sidewalk robots' to deliver food to people's doorsteps. The US ride-hailing giant announced the idea as part of a raft of new features and services for its customers. These included an option for those in certain cities to specifically request a ride in an electric car, which Uber said was part of its global commitment to becoming a zero-emissions mobility platform by 2040. Comfort Electric is now available in Los Angeles, San Francisco, San Diego and Dubai, with more cities to come soon. The sidewalk robot concept is one of two autonomous delivery pilot programs being trialled in California.
Uber continues to show that it has grand ambitions that go far beyond the ride-sharing service that it first became known for. At the company's second annual, product-focused Go/Get event, Uber announced a host of new features focused primarily on expanding its offerings in both the travel and delivery categories. Travel may sound obvious, given Uber's background, but probably the most notable new offering is simply called Uber Travel; its focus is helping you get around when you're not in your home city. It's an integration with Gmail that can pull details out of your inbox like hotel, flight and restaurant reservations and group it together in the Uber app. The point, of course, is that you can then schedule rides for each of these events, and Uber will give 10 percent back in Uber Cash when you do.
Tech companies, retailers and real-estate firms working on ways to alleviate the strain of constant delivery on urban environments envision an alternate scenario: skies filled with zipping delivery drones and floating dirigible warehouses, streets and sidewalks teeming with as many robots as people, familiar storefronts serving as automated stockrooms for online fulfillment. A look at how innovation and technology are transforming the way we live, work and play. The e-commerce process, from order to fulfillment, will gradually move toward total automation, says David Wilson, chief executive of machinery company Columbus McKinnon, which uses robotic components in warehouse lifting equipment. "The vehicle that pulls up is an autonomously driven vehicle. The unpacking is done with vision technology and robotic equipment. The movement of equipment to automated storage and retrieval systems is done via mobile robots," Mr. Wilson says, describing the warehouse of the future.
This special issue interrogates the meaning and impacts of "tech ethics": the embedding of ethics into digital technology research, development, use, and governance. In response to concerns about the social harms associated with digital technologies, many individuals and institutions have articulated the need for a greater emphasis on ethics in digital technology. Yet as more groups embrace the concept of ethics, critical discourses have emerged questioning whose ethics are being centered, whether "ethics" is the appropriate frame for improving technology, and what it means to develop "ethical" technology in practice. This interdisciplinary issue takes up these questions, interrogating the relationships among ethics, technology, and society in action. This special issue engages with the normative and contested notions of ethics itself, how ethics has been integrated with technology across domains, and potential paths forward to support more just and egalitarian technology. Rather than starting from philosophical theories, the authors in this issue orient their articles around the real-world discourses and impacts of tech ethics--i.e., tech ethics in action.
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.
The invention of artificial intelligence has had the biggest effect on the world since electricity. And just like electricity, it will have a profound impact on virtually every sphere of human endeavor, from warfare to medicine to music. We love to use it in our technology, but artificial intelligence is everywhere. Most of these examples are things we take for granted because they have become so integrated into the fabric of our everyday lives. Artificial intelligence is all around us. We can find it in our homes, in our cars, and even in our relationships. We may not always think about the artificial intelligence that's buzzing around us because it requires an explicit action to activate it. With just a few clicks of the mouse or taps on your phone, artificial intelligence can do everything from sorting your laundry to directing your car. Artificial intelligence is both helpful and scary. From self-driving cars to analyzing medical data, artificial intelligence (AI) is already present in many aspects of our daily lives. While AI may conjure up images of humanoid robots and the "Terminator" movies, the reality is far more mundane. The idea of artificial intelligence can intimidate, but it doesn't need to be scary. AI is simply technology that can make our lives easier. For instance, AI systems handle over half of the United States stock market trades.
That's what Arizona State University retail store manager and mother to three Sophia Lovasz asked her TikTok followers back in April. In a 15-second video we see a driverless Waymo minivan approach before Lovasz hops in and shows that no one is at the wheel. "Ngl it was trippy at first," reads a caption, as the steering wheel moves on its own. The short clip set to "Lottery (Renegade)" by K Camp racked up 1.9 million views. Whatever hashtag it's known by, this is where the far-off concept of self-driving cars is portrayed as an everyday reality thanks to posts from early adopters. Based on the success of her first post, Lovasz -- or @sosobombs -- continued documenting her experience as an early rider using the Alphabet-owned Waymo One robo-taxi service in the Phoenix, Arizona area.
There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.