Full-text search Fulltext search 12 Resultate New algorithms help with anesthesia Anesthetic drugs affect the brain. But to tell if a patient will remain unconscious during surgery, most anesthesiologists rely on heart rate, breathing rate and movement. Algorithms could improve this process. Algorithm decodes peculiarities of different yodeling styles An algorithm confirms what yodelers have been telling each other for a long time: Northwestern Swiss and Central Swiss yodels can be distinguished. Algorithms conquer the stage He is bringing artificial intelligence to the theater stage: Ilja Mirsky. And, in the opinion of this young digital artist who reveres analog theater, it is okay if the technology fails during a live performance. ETH mathematicians facilitate rescue at sea Researchers have developed a method of calculation that speeds up the search for people in distress at sea. Their new algorithm can be used to predict where objects or people are likely to drift to on the sea surface. Diagnostics: A new era begins Artificial intelligence could revolutionize medical diagnostics – for example the algorithm developed by the pathologist Viktor Kölzer. But this revolution requires data. And data requires protection. AI teaches robots to move objects with their whole bodies Robotic arms can often only grasp with their fingertips. Complicated tasks thus quickly become unsolvable for robots. MIT researchers have now found a way to simplify certain processes. Swiss researchers decode AI thought processes Researchers have developed a new method for decoding the thinking of artificial intelligences. This is particularly important for situations in which self-learning computer programmes make decisions with implications for human lives. The enchantress of numbers The first algorithm was devised a century before the invention of the computer. It was developed by Ada Lovelace. Born into British aristocracy, her visionary ideas foreshadowed the digital age. Deep learning results in particularly sexist AI systems Decisions made by machines based on AI have already been shown to be discriminatory or racist. This is due to the fact that the algorithms draw on data originating from humans, and this data is frequently biased – among other things with sexist prejudices. Using deep learning to create a digital sheet music stand Researcher Lukas Tuggener and app developer Florian Seibold intend to revolutionize the world of professional music. They are digitizing sheet music using a completely new deep learning method: Deep Watershed Detection.
