Getting the'side-eye' look from your dog can certainly make it seem like they are judging you, and a new study suggests they really could be. Researchers at the University of Vienna found that pooches can tell when we dangle a treat out of their reach to be cruel, or when it is just an accident. What's more, they also act differently towards us depending on our perceived intention, as they appear more patient with the clumsy than the mean. Only a few animals have previously been shown to be able to make social evaluations of humans in this manner, including chimpanzees, capuchin monkeys and African grey parrots. The team recruited 96 pet dogs for the experiment, and each was presented with one of two scenarios.
Pet dogs know when you intend to give them a treat, even if you drop it where they can't get to it Dogs can understand when humans mean well, even if they don't get what they want from us. Prior to this work, the ability to distinguish between a human being unwilling or unable to perform a task had only been found in non-human primates. The close social bond between humans and canines is well established, but researchers have a limited understanding of if and how dogs comprehend human intent. To see if pet dogs can distinguish between intentional and accidental actions by strangers, Christoph Völter at the University of Veterinary Medicine Vienna in Austria and his colleagues ran tests with humans offering dogs food while the animals' body movements were tracked using eight cameras. Each dog and human were separated by a transparent plastic panel with holes that a slice of sausage could be passed through.
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A new deep-learning algorithm from researchers in Austria produces more accurate numerical solutions to the Schrödinger equation than ever before for a number of different molecules at relatively modest computational cost. Surprisingly, the researchers found that, whereas some'pre-training' of the algorithm could improve its predictive abilities, more substantial training was actively harmful. As the Schrödinger equation can be solved analytically only for the hydrogen atom, researchers wishing to estimate energies of molecules are forced to rely on numerical methods. Simpler approximations such as density functional theory and the Hartree-Fock method, which is almost as old as the Schrödinger equation itself, can treat far-larger systems but often gives inaccurate results. Newer techniques such as complete active space self-consistent field (CASSCF) give results closer to experiments, but require much more computation.
Researchers have noted that Austrian talent has increasingly gained attention from Silicon Valley tech corporations in prior years, leading to local AI operations at Amazon, Meta (Facebook), and Snap. The initial wave of AI Hubs launched primarily focused on doing AI research in Austria with the help of local expertise and little involvement with the neighborhood. This trend gained traction over the last year, resulting in the development of AI Centers of Excellence, the establishment of AI businesses' European offices, and the incorporation of foreign startups in Austria. Here are some of the cool artificial intelligence startups/businesses that are innovating the Artificial Intelligence market in various ways, but they are all outstanding businesses worth following. Adverity, founded in 2015, assesses and visualizes expenses, performance, and returns. They also identify anomalies and suggest the best money to spend on each marketing channel. The product suite is utilized by well-known companies like Red Bull, IKEA, and Zurich Insurance and is accessible to agencies, brands, and e-commerce providers.
Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology's impact on society. This episode we talk with Mark Coeckelbergh about AI as a story about machines and where are we heading in creating human level intelligence, moral standing and robot-animal interfaces, technology determinism, environmental impacts of robots and AI, energy budgets, politics and AI, self-regulation and global governance for global issues. Mark Coeckelbergh is Professor of Philosophy of Media and Technology at the University of Vienna and author of more than 15 books including AI Ethics (MIT Press), The Political Philosophy of AI (Polity Press), and Introduction to Philosophy of Technology (Oxford University Press). Previously he was Vice Dean of the Faculty of Philosophy and Education, and President of the Society for Philosophy and Technology (SPT). He is also involved in policy advise, for example he was member of the High Level Expert Group on AI of the European Commission.
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Are passionate about contributing to solutions that benefit science and business at the same time; Are able to communicate with university and business stakeholders; Have knowledge of several of the following techniques: mathematical programming, dynamic programming, reinforcement learning, supervised learning, simulation, business analytics, heuristics, etc.; Can code in one or more of the following programming languages: Python, Java, C, Delphi, Matlab, and R; Have, or will shortly acquire, an MSc degree in Industrial Engineering, Operations Research, Applied Mathematics, or related programme; Possess excellent communication skills and are proficient in English.