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Artificial Intelligence | AGE OF ROBOTS & Neurorobotics Magazines

Artificial Intelligence

Artificial Intelligence in the Second Machine Age

The advancement of artificial intelligence (AI) in this second machine age is, and will continue to be, the defining feature of this age. With smart machines everything changes. This department tracks what is happening on the AI front and how this technology is changing every area of our lives.

Band Gaps, Made to Order

Engineers create atomically thin superlattice materials with precision. Control is a constant challenge for materials scientists, who are always seeking the perfect material — and the perfect way of treating it — to induce exactly the right electronic or optical activity required for a given application.

Slowing the clockwork

Progress on the way to smart nanomachines: LMU chemists have modified the synthesis of a molecular motor so as to reduce the speed of its light-driven rotation, thus permitting the researchers to analyze the mechanism of motion in complete detail.

Artificial intelligence for obtaining chemical fingerprints

Neural networks carry out chemical simulations in record time. Researchers at the Universities of Vienna and Göttingen have succeeded in developing a method for predicting molecular infrared spectra based on artificial intelligence. These chemical “fingerprints” could only be simulated by common prediction techniques for small molecules in high quality. With the help of the new technology, which is based on neuronal networks similar to the human brain and is therefore capable of learning, the team led by Philipp Marquetand from the Faculty of Chemistry at the University of Vienna was able to carry out simulations that were previously not possible.

Scientists move step towards “holy grail” of computing by creating brain-like photonic microchips

Scientists have made a crucial step towards unlocking the “holy grail” of computing – microchips that mimic the way the human brain works to store and process information. A research team, including Professor C. David Wright from the University of Exeter, have made a pioneering breakthrough by developing photonic computer chips – that use light rather than electricity – that imitate the way the brain’s synapses operate.

New type of supercomputer could be based on ‘magic dust’ combination of light and matter

A team of researchers from the UK and Russia have successfully demonstrated that a type of ‘magic dust’ which combines light and matter can be used to solve complex problems and could eventually surpass the capabilities of even the most powerful supercomputers. The researchers have used quantum particles known as polaritons – which are half light and half matter – to act as a type of ‘beacon’ showing the way to the simplest solution to complex problems.

IBM Research and UC San Diego Collaborate to Advance the Use of Artificial Intelligence for Healthy Living

UC San Diego is the first West Coast university to join the IBM Cognitive Horizons Network. IBM (NYSE: IBM) and the University of California San Diego have announced a multi-year project to enhance quality of life and independence for aging populations through the new Artificial Intelligence for Healthy Living Center (AIHL)), located on the campus of UC San Diego. The groundbreaking center will bring together the technology, artificial intelligence and life sciences knowledge of IBM and UC San Diego to promote critical research and applications in two thematic areas: Healthy Aging and the Human Microbiome.

When Artificial Intelligence is Funny

Engineering alumna trains neural networks to be creative to hilarious results. What do you do if you’re an animal shelter and have to name a big litter of guinea pigs that suddenly become available for adoption and need to be named? Why, contact Janelle Shane, who earned a Ph.D. in electrical engineering at UC San Diego, of course. Shane works on lasers in her day job, but her hobby is using neural networks to create paint color names, band names and much more.

How neural networks think

Researchers will present a new general-purpose technique for making sense of neural networks trained to perform natural-language-processing tasks, in which computers attempt to interpret freeform texts written in ordinary, or natural language (as opposed to a programming language, for example). Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data.

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Position Open

AI Department Head

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