Smart computers

Filtering information for search engines, acting as an opponent during a board game or recognizing images: Artificial intelligence has far outpaced human intelligence in certain tasks. Several groups from the Freiburg excellence cluster BrainLinks-BrainTools led by neuroscientist private lecturer Dr. Tonio Ball are showing how ideas from computer science could revolutionize brain research. In the … Continue reading “Smart computers”

New AI algorithm monitors sleep with radio waves

More than 50 million Americans suffer from sleep disorders, and diseases including Parkinson’s and Alzheimer’s can also disrupt sleep. Diagnosing and monitoring these conditions usually requires attaching electrodes and a variety of other sensors to patients, which can further disrupt their sleep. To make it easier to diagnose and study sleep problems, researchers at MIT … Continue reading “New AI algorithm monitors sleep with radio waves”

Artificial intelligence uses internet searches to help create mind association magic trick

Scientists from Queen Mary University of London (QMUL) have created an artificial intelligence (AI) that uses internet searches to help co-design a word association magic trick. The computer automatically sources and processes associated words and images required for the novel mind reading card trick which is performed by a magician. Previously psychological experiments on participants … Continue reading “Artificial intelligence uses internet searches to help create mind association magic trick”

MIT’s AI System “Pic2Recipe” Predicts recipes from photos

MIT Researchers have developed deep-learning algorithm that can compile a list of ingredients and even recommend recipes after looking at photos of food. Their AI system named Pic2Recipe predicts a dish’s recipe from just a photo. Pic2Recipe reads through over one million recipes. Then used a neural network to find patterns and connections between images … Continue reading “MIT’s AI System “Pic2Recipe” Predicts recipes from photos”

Microscope uses Artificial Intelligence to find cancer cells more efficiently

Scientists at the California NanoSystems Institute at UCLA have developed a new technique for identifying cancer cells in blood samples faster and more accurately than the current standard methods. In one common approach to testing for cancer, doctors add biochemicals to blood samples. Those biochemicals attach biological “labels” to the cancer cells, and those labels … Continue reading “Microscope uses Artificial Intelligence to find cancer cells more efficiently”