Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now developed an algorithm that classifies skin lesions more accurately than previous algorithms by using an improved data fusion process.
Artificial Intelligence (AI)
Whether in medicine, agriculture or the automotive industry: Artificial intelligence (AI) is a key technology that is already shaping our lives significantly. At TUM, we are investigating and developing intelligent systems, while keeping an eye on our responsibility for people and society at all times. Find out what's new in the fields of AI, robotics, machine learning and data science.
A team at the Technical University of Munich (TUM) has developed software which lets race cars compete in motor sports without a driver. The TUM Autonomous Motorsport Team was able to take 1st and 2nd place at the Autonomous Challenges in Indianapolis and most recently at the CES in Las Vegas. Does this technology have the potential to revolutionize racing? Markus Lienkamp, Professor for automotive technology, tells us the answer.
The team from the Technical University of Munich (TUM) entered the Autonomous Challenge @CES in Las Vegas as defending champions, seeking to test their limits once again. The team took second place in the race on Friday, employing spectacular overtaking maneuvers in a head-to-head duel with the PoliMOVE team. In the race, TUM’s artificial intelligence controlled racing car reached top speeds of up to 270 km/h. The team received a prize of 50,000 US-Dollars for their excellent performance.
Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.
For cardiac arrest victims, minutes can mean the difference between life and death. It’s vital that medical emergency response teams get to them quickly, but in more remote, rural areas this can sometimes be difficult. “HORYZN” is an initiative of students at the Technical University of Munich (TUM) and has developed a remote-controlled, AI-supported rescue drone with a defibrillator on board for just such emergencies.
Diamonds for quantum technology, a test for urinary tract infections and a machine learning method for testing computer games: these three start-ups ideas were announced yesterday as winners of the TUM IDEAward. The day also marked the first-ever presentation of the TUM Deep Tech IDEAward, offered to teams established in other countries that wish to launch their start-up in Munich.
The Technical University of Munich (TUM) has achieved two more victories in the competition for Germany's highest endowed research prize: Prof. Stefanie Jegelka and Prof. Suvrit Sra have each been honored with an Alexander von Humboldt Professorship for Artificial Intelligence (AI). Up to now both researchers have been working at Massachusetts Institute of Technology (MIT). TUM thus becomes the only German university to have successfully acquired ten Humboldt professorships.
Obesity, diabetes and gastrointestinal cancer are frequently linked to an unhealthy diet. However, the molecular mechanisms responsible for this are hitherto not fully understood. Researchers at the Technical University of Munich and Helmholtz Munich have gained some new insights that help to better understand this connection. These findings provide an important basis for the development of new, non-invasive therapies.
OroraTech, a startup formed at the Technical University of Munich (TUM), is preparing to launch a fleet of small satellites. They will use infrared cameras to detect temperature anomalies at high temporal and spatial resolutions. With the data, the young entrepreneurs want to localize forest fires quickly and track their spread in real time. The start-up is this year's winner of The Spark – The German Digital Award which is awarded by the daily newspaper Handelsblatt and the management consultancy McKinsey.
The Indy Autonomous Challenge was held at the Indianapolis Motor Speedway on Saturday – a race completely without drivers. Nine teams from universities around the world competed against one another with race cars controlled using Artificial Intelligence (AI). The Technical University of Munich (TUM) team made the best time with an average speed of 218 kilometers per hour. That won the young researchers first place and a cash prize of one million US dollars.