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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.
This paper investigates an unmanned aerial vehicle (UAV)-assisted wireless powered mobile-edge computing (MEC) system, where the UAV powers the mobile terminals by wireless power transfer (WPT) and provides computation service for them. We aim to maximize the computation rate of terminals while ensuring fairness among them. Considering the random trajectories of mobile terminals, we propose a soft actor-critic (SAC)-based UAV trajectory planning and resource allocation (SAC-TR) algorithm, which combines off-policy and maximum entropy reinforcement learning to promote the convergence of the algorithm. We design the reward as a heterogeneous function of computation rate, fairness, and reaching of destination. Simulation results show that SAC-TR can quickly adapt to varying network environments and outperform representative benchmarks in a variety of situations.
The battery is a key component of autonomous robots. Its performance limits the robot's safety and reliability. Unlike liquid-fuel, a battery, as a chemical device, exhibits complicated features, including (i) capacity fade over successive recharges and (ii) increasing discharge rate as the state of charge (SOC) goes down for a given power demand. Existing formal verification studies of autonomous robots, when considering energy constraints, formalise the energy component in a generic manner such that the battery features are overlooked. In this paper, we model an unmanned aerial vehicle (UA V) inspection mission on a wind farm and via probabilistic model checking in PRISM show (i) how the battery features may affect the verification results significantly in practical cases; and (ii) how the battery features, together with dynamic environments and battery safety strategies, jointly affect the verification results. Potential solutions to explicitly integrate battery prognostics and health management (PHM) with formal verification of autonomous robots are also discussed to motivate future work. Keywords: Formal verification · Probabilistic model checking · PRISM · Autonomous systems · Unmanned aerial vehicle · Battery PHM. 1 Introduction Autonomous robots, such as unmanned aerial vehicles (UA V) (commonly termed drones 3), unmanned underwater vehicles (UUV), self-driving cars and legged-robots, obtain increasingly widespread applications in many domains .
Rolnick, David, Donti, Priya L., Kaack, Lynn H., Kochanski, Kelly, Lacoste, Alexandre, Sankaran, Kris, Ross, Andrew Slavin, Milojevic-Dupont, Nikola, Jaques, Natasha, Waldman-Brown, Anna, Luccioni, Alexandra, Maharaj, Tegan, Sherwin, Evan D., Mukkavilli, S. Karthik, Kording, Konrad P., Gomes, Carla, Ng, Andrew Y., Hassabis, Demis, Platt, John C., Creutzig, Felix, Chayes, Jennifer, Bengio, Yoshua
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.
They were ineligible to be looked at by the Genius Bar, for instance, meaning that getting a battery replacement could mean passing up the chance for any other service work. That was the case even if the problem was with another component and not the battery, meaning that the entire phone would be banned from repairs just for having a third-party battery. We'll tell you what's true. You can form your own view. But a new note seen by Macrumors shows that Apple Stores and Apple's approved service providers will be able to fix those phones.
The reduced-price replacements last until the end of the year, at which point the cost will dramatically increase. For the moment, a new battery costs only £25 – but once the new year arrives, that will rocket up to as much as £65. Old batteries can cause significant problems for their owners as iPhones age. With use, the power begins to drop – something that can lead to phones lasting for much less time, and to Apple having to slow down phones to ensure that they don't crash because they're not getting enough power. It was the revelation that Apple was doing that – throttling performance on older phones, in line with more spectacular rumours that swirled before it was admitted – that led to the cheap repairs in the first place.
Every so often, WIRED gets to take a good, long sojourn behind the scenes, to observe what the people we write about are doing all day. This was one of those nice weeks. Editor Alex Davies hopped a plane to Winnemucca, an isolated mining town in northern Nevada that's hosting Alphabet's latest moonshot: its effort to spread the gospel of internet via broadcasting balloons. Senior writer Jessi Hempl got under Uber's hood after the announcement that HR chief Liane Hornsey--the woman brought in to fix the unicorn's culture--resigned for improperly handling allegations of racial discrimination. Contributor Wendy Dent got the scoop on Elon Musk's attempt to build some kind of vehicle that would help the Thai youth soccer team escape a cave complex.
The Argentinian summer Sun beat down on the Buenos Aires city circuit as the cars approached the penultimate turn. It was February 18, 2017, the Saturday of Formula E's South American weekend, and two cars jostled for first place. The second car, though, was being too aggressive. Nearing the corner's apex, the vehicle misjudged its position and speed. The vehicle slammed into the blue safety walls surrounding the track. As the wreckage crumpled to a stop, a detached wheel rolled freely across the hot asphalt.
With the introduction of wireless charging for the latest iPhones, it'd make sense for Apple to work on its own hardware. For that, it's acquired New Zealand wireless charging company PowerbyProxi for an undisclosed sum, according to a report by Stuff on Wednesday. SEE ALSO: Apple's New Emoji Are Finally Here Apple's Dan Riccio, senior vice president of hardware engineering, confirmed the acquisition to the news outlet, and said the team will be "a great addition as Apple works to create a wireless future." "We want to bring truly effortless charging to more places and more customers around the world," he added. PowerbyProxi was founded in 2007 by entrepreneur Fady Mishriki as a spin-off from the University of Auckland's research on wireless power.
As a result, in recent years many people have found it more appealing to lease new cars. Why commit to owning a car that will run for 11 or 12 years when you can make a less onerous short-term commitment and then upgrade substantially in a few years without paying significantly more. This dynamic is particularly evident when it comes to the most technologically advanced cars, plug-in electrics and battery-powered vehicles. Thanks to rising competition and volumes, and to significant advances in battery design and production, the state of the art is improving rapidly. Thanks to Moore's Law, the minute you bought a PC it was effectively out of date--slower than the one you could buy for less in 18 months' time.