Artificial Intelligence

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.

Applying Machine Learning to the Universe’s Mysteries

Berkeley Lab scientists teach machines to analyze simulations of exotic subatomic ‘soup.’ Computers can beat chess champions, simulate star explosions, and forecast global climate. We are even teaching them to be infallible problem-solvers and fast learners.

Drones Learn to Navigate Autonomously by Imitating Cars and Bicycles

Developed by UZH researchers, the algorithm DroNet allows drones to fly completely by themselves through the streets of a city and in indoor environments. Therefore, the algorithm had to learn traffic rules and adapt training examples from cyclists and car drivers.

BA or DA? Decoding syllables to show the limits of AI

UNIGE researchers show the limits of the precision of decoding brain activity, via modern machine learning techniques, particularly in processing speech sounds. For about the last ten years, researchers have been using artificial intelligence techniques called machine learning to decode human brain activity. Applied to neuroimaging data, these algorithms can reconstitute what we see, hear, and even what we think. For example, they show that words with similar meanings are grouped together in zones in different parts of our brain.

Artificial agent designs quantum experiments

On the way to an intelligent laboratory, physicists from Innsbruck and Vienna present an artificial agent that autonomously designs quantum experiments. In initial experiments, the system has independently (re)discovered experimental techniques that are nowadays standard in modern quantum labs. This shows how machines could play a more creative role in research in the future.

Computer-aided facial analysis helps diagnosis

In rare diseases, the computer-aided image analysis of patient portraits can facilitate and significantly improve diagnosis. This is demonstrated by an international team of scientists under the leadership of the University Hospital Bonn and the Charité – Universitätsmedizin Berlin on the basis of so-called GPI anchor deficiencies.

Will artificial intelligence become conscious?

Forget about today’s modest incremental advances in artificial intelligence, such as the increasing abilities of cars to drive themselves. Waiting in the wings might be a groundbreaking development: a machine that is aware of itself and its surroundings, and that could take in and process massive amounts of data in real time.

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