-- Control barrier functions (CBFs) are a powerful tool for the constrained control of nonlinear systems; however, the majority of results in the literature focus on systems subject to a single CBF constraint, making it challenging to synthesize provably safe controllers that handle multiple state constraints. This paper presents a framework for constrained control of nonlinear systems subject to box constraints on the systems' vector-valued outputs using multiple CBFs. Our results illustrate that when the output has a vector relative degree, the CBF constraints encoding these box constraints are compatible, and the resulting optimization-based controller is locally Lipschitz continuous and admits a closed-form expression. Additional results are presented to characterize the degradation of nominal tracking objectives in the presence of safety constraints. Simulations of a planar quadrotor are presented to demonstrate the efficacy of the proposed framework.

AI-Generated Fashion Is Next Wave of DIY Design Share Search: Explore by topic FOR THE TECHNOLOGY INSIDER Topics Follow IEEE Spectrum Support IEEE Spectrum IEEE Spectrum is the flagship publication of the IEEE -- the world's largest professional organization devoted to engineering and applied sciences. Our articles, podcasts, and infographics inform our readers about developments in technology, engineering, and science. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. IEEE websites place cookies on your device to give you the best user experience. By using our websites, you agree to the placement of these cookies. To learn more, read our Privacy Policy. Enjoy more free content and benefits by creating an account Saving articles to read later requires an IEEE Spectrum account The Institute content is only available for members Downloading full PDF issues is exclusive for IEEE Members Access to Spectrum's Digital Edition is exclusive for IEEE Members Following topics is a feature exclusive for IEEE Members Adding your response to an article requires an IEEE Spectrum account Create an account to access more content and features on IEEE Spectrum, including the ability to save articles to read later, download Spectrum Collections, and participate in conversations with readers and editors. For more exclusive content and features, consider Joining IEEE . Join the world's largest professional organization devoted to engineering and applied sciences and get access to all of Spectrum's articles, archives, PDF downloads, and other benefits.

For best-in-class artificial intelligence solutions to actually earn that designation, Sindhu Joseph warns that the tools can't be used as "set it and forget it." Joseph, the co-founder and CEO of CogniCor, a California-based developer of an AI-powered business automation platform, reminded those attending her panel on day two of the inaugural Future Proof festival of the massive failure that was Microsoft's Tay. In spring 2016, the AI chatbot, named as an acronym for "thinking about you," was launched and pulled within a day of operation. Its machine-learning capabilities had caused it to spew racist, misogynistic and anti-semitic statements across Twitter, in a spectacular public display of garbage in, garbage out. Just "letting the machine run" without proper human guidance or care is a huge pitfall, said Joseph, who holds a PhD in artificial intelligence and is the inventor of six patents related to the technology. "There's a lot of applications where that works really well.

Examples can be found in all areas of engineering and science, for instance plant breeding (Hunter & McClosky, 2016), aircraft maintenance (Mattila & Virtanen, 2014) or electric network planning (Dutrieux et al., 2015b). In this work, we choose to focus on Bayesian optimization algorithms, which use probabilistic models to make predictions about the functions to be optimized. One of the classical algorithms for Bayesian deterministic multi-objective optimization is the ParEGO algorithm (Knowles, 2006). It relies on a scalarization approach to extend the very popular single-objective Efficient Global Optimization (EGO) algorithm (Jones et al., 1998), based on the Expected Improvement (EI) criterion. Another scalarization approach, called multi-attribute Knowledge Gradient (Astudillo & Frazier, 2017), uses the Knowledge Gradient (KG) criterion instead of the EI criterion.

Agent-based modeling (ABM) is a powerful paradigm to gain insight into social phenomena. One area that ABM has rarely been applied is coalition formation. Traditionally, coalition formation is modeled using cooperative game theory. In this paper, a heuristic algorithm is developed that can be embedded into an ABM to allow the agents to find coalition. The resultant coalition structures are comparable to those found by cooperative game theory solution approaches, specifically, the core. A heuristic approach is required due to the computational complexity of finding a cooperative game theory solution which limits its application to about only a score of agents. The ABM paradigm provides a platform in which simple rules and interactions between agents can produce a macro-level effect without the large computational requirements. As such, it can be an effective means for approximating cooperative game solutions for large numbers of agents. Our heuristic algorithm combines agent-based modeling and cooperative game theory to help find agent partitions that are members of a games' core solution. The accuracy of our heuristic algorithm can be determined by comparing its outcomes to the actual core solutions. This comparison achieved by developing an experiment that uses a specific example of a cooperative game called the glove game. The glove game is a type of exchange economy game. Finding the traditional cooperative game theory solutions is computationally intensive for large numbers of players because each possible partition must be compared to each possible coalition to determine the core set; hence our experiment only considers games of up to nine players. The results indicate that our heuristic approach achieves a core solution over 90% of the time for the games considered in our experiment.

If you're new to drones, here are 10 rules you need to know before flying USA TODAY So when the new DJI Mavic 2 Pro takes off from the edge of the Pier, without bothering any of the local fishing enthusiasts, soars off without a hitch and returns safely, without hitting anything you're a happy camper. And that was before we get a chance to examine the footage, which turns out is way more impressive than what we saw with the previous edition of the Mavic Pro. Newsflash: This is a drone with a camera-size sensor and lens on it, that flies on command. The Mavic 2 is the update to the original Mavic Pro drone, which broke ground in 2016 as the first somewhat affordable, quality drone that was also compact enough to fit into a backpack. More: Does'yes' mean'yes?' Can you give consent to have sex to an app?

Here are 90 upcoming meetings and conferences, for January 2018 and beyond. You can also find the latest list on KDnuggets Meetings page Most popular topics: AI/Artificial Intelligence, 23 top countries: top cities: Toronto, Stockholm: 4 Color code: Business-Oriented meetings in Blue, Research meetings (with calls for papers and program committee) in green January 2018 Americas: Jan 17-19, BAFI 2018: 3rd Conf. on Business Analytics in Finance and Industry. Use code KDNUGGETS to save. Feb 8, AI Evolution brings together experts, developers, technologists, and business leaders. Feb 11-16, TDWI, 4 core learning tracks on Business Analytics & BI / Data Science / Data Management/ Data Strategy.

A silent communications system in which nonaural carriers, in the very low or very high audio-frequency range or in the adjacent ultrasonic frequency spectrum are amplitude- or frequency-modulated with the desired intelligence and propagated acoustically or vibrationally, for inducement into the brain, typically through the use of loudspeakers, earphones, or piezoelectric transducers. The modulated carriers may be transmitted directly in real time or may be conveniently recorded and stored on mechanical, magnetic, or optical media for delayed or repeated transmission to the listener.

Think about the time it takes to see a doctor: Find a doctor, schedule an appointment, drive to the office, inevitably linger in the waiting room and then, finally, see the doctor. Artificial intelligence (AI)-powered wellness tools are reducing the steps required to receive a diagnosis. A wellness tool that uses image recognition and deep learning could enable you to self-diagnose a skin complaint. Leading technology and service providers (TSPs) are planning strategies based on an AI-enabled future. Apple, Dell, Facebook, Google, Microsoft and Samsung are some of the companies that have acquired AI startups and are developing new platforms for AI progress.

Whatever you want to learn, whatever you want to explore or whatever you just plain want to discuss, SXSW Interactive has you covered. This is my fourth time attending SXSW Interactive, and the big themes emerging this week have centered around augmented reality (AR), virtual reality (VR) and artificial intelligence (AI). For brevity's sake, I'm going to drill down to one area of AI in which I'm particularly excited--bots. To be even more specific, chatbots on messaging apps. As the head of global social strategy and operations at DocuSign, I index for #SXSW talks at which representatives of the social media platforms--especially the ones on which we have a DocuSign branded presence--are speaking so I can keep up with the rapid advancements and, hopefully, stay one step ahead of becoming a marketing dinosaur.