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Computer Science - Campus - 05.01.2022

System recognizes hand gestures to expand computer input on a keyboard
Preparing for an online start to the winter term: for more information. New program recognizes users' hands beside or near the keyboard and prompts operations based on different hand positions Researchers are developing a new technology that uses hand gestures to carry out commands on computers. The prototype, called "Typealike," works through a regular laptop webcam with a simple affixed mirror.

Computer Science - Innovation - 22.12.2021

The art of science meets the science of art
In a unique collaboration with ECAL/University of Art and Design Lausanne , researchers have developed an algorithm designed to generate some of the world's first Chinese typefaces, using machine learning. One-thousand years ago during the medieval Song dynasty, the artist and engineer Bi Sheng invented the first movable type printing technology, using porcelain and wood pieces arranged and organized for printed Chinese characters.

Computer Science - Innovation - 17.12.2021

Low-cost, long-range, high-data WiFi system
Researchers from the Centre for Internet of Things and Telecommunications are developing a long-range WiFi system that can be integrated into existing WiFi infrastructure to achieve long-range communication, high data rates and low latency for the mining industry. In a boon for the mining industry and internet users everywhere, University of Sydney telecommunications researchers are developing a safe and cost-effective technology that could be a wireless internet game changer.

Health - Computer Science - 16.12.2021

New model improves accuracy of machine learning in COVID-19 diagnosis while preserving privacy
Researchers in the UK and China have developed an artificial intelligence (AI) model that can diagnose COVID-19 as well as a panel of professional radiologists, while preserving the privacy of patient data. By working with other countries, we can do so much more than we can alone Michael Roberts The international team, led by the University of Cambridge and the Huazhong University of Science and Technology, used a technique called federated learning to build their model.

Psychology - Computer Science - 14.12.2021

Voice assistants could be used for life coaching
Researchers from UPF and the UAB have developed a conversational agent for life coaching with very positive results. Life coaching is a process in which a life coach helps a person to identify and achieve the most important goals for them personally and professionally. The idea is to provide the person with tools and show them attitudes that allow them to take control of their decision and make it a reality.

Campus - Computer Science - 14.12.2021

How Do You Study Facial Bias Without Bias?
When we encounter an unfamiliar face, we tend to make snap judgments. Does the person look smart, attractive, or young? Are they trustworthy or corrupt? Neuroscientists and psychologists study how our brains form these facial biases, and how the judgments ultimately influence the way people behave. "We tend to be quite confident in the judgments we make based on people's faces, but we're often wrong," says Ralph Adolphs (PhD '93), Bren Professor of Psychology, Neuroscience, and Biology and an affiliated faculty member of the Tianqiao and Chrissy Chen Institute for Neuroscience.

Computer Science - Environment - 13.12.2021

Artificial intelligence can create better lightning forecasts
Lightning is one of the most destructive forces of nature, as in 2020 when it sparked the massive California Lightning Complex fires, but it remains hard to predict. A new study led by the University of Washington shows that machine learning - computer algorithms that improve themselves without direct programming by humans - can be used to improve lightning forecasts.

Computer Science - Social Sciences - 10.12.2021

Community of ethical hackers needed to prevent AI’s looming ’crisis of trust’
A global hacker "red team" and rewards for hunting algorithmic biases are just some of the recommendations from experts who argue that AI faces a "tech-lash" unless firm measures are taken to increase public trust. We need policy and public support to create an ecosystem of trust for AI Shahar Avin The Artificial Intelligence industry should create a global community of hackers and "threat modellers" dedicated to stress-testing the harm potential of new AI products in order to earn the trust of governments and the public before it's too late.

Politics - Computer Science - 09.12.2021

The identification of political ads on Facebook often goes wrong
Researchers at KU Leuven (belonging to the imec-DistriNet research group) and New York University (Cybersecurity for Democracy) have demonstrated that on a global scale, Facebook misjudges up to 83 percent of ads that they or the researchers deemed political. In some cases, Facebook does not recognise them as political ads, while they often wrongfully label non-political ads as political.

Computer Science - Microtechnics - 08.12.2021

Engineers Teach AI to Navigate Ocean with Minimal Energy
Research could enable monitoring of our oceans or exploration of alien ocean worlds Engineers at Caltech, ETH Zurich, and Harvard are developing an artificial intelligence (AI) that will allow autonomous drones to use ocean currents to aid their navigation, rather than fighting their way through them.

Computer Science - Materials Science - 06.12.2021

Turbo boost for materials research
A new algorithm has been designed to help discover previously unknown material compounds. It was developed by a team from Martin Luther University Halle-Wittenberg (MLU), Friedrich Schiller University Jena and Lund University in Sweden. The researchers designed a form of artificial intelligence (AI) based on machine learning that can perform complex calculations within a very short space of time.

Physics - Computer Science - 02.12.2021

Twisting elusive quantum particles
While the number of qubits and the stability of quantum states are still limiting current quantum computing devices, there are questions where these processors are already able to leverage their enormous computing power. In collaboration with the Google Quantum AI team scientists from the Technical University of Munich (TUM) and the University of Nottingham used a quantum processor to simulate the ground state of a so-called toric code Hamiltonian - an archetypical model system in modern condensed matter physics, which was originally proposed in the context of quantum error correction.

Mathematics - Computer Science - 02.12.2021

Mathematicians use DeepMind AI to create new methods in problem-solving
Sydney researcher Professor Geordie Williamson is working with colleagues at Oxford using DeepMind's artificial intelligence to develop fundamentally new techniques in mathematics. For the first time, computer scientists and mathematicians have used artificial intelligence to help prove or suggest new mathematical theorems in the complex fields of knot theory and representation theory.

Health - Computer Science - 01.12.2021

A new system for analysing thoracic CT scans with deep learning enables COVID-19 lesion detection
A new automated system that involves deep learning technology enables the detection of COVID-19 lesion via the analysis of a computed tomography (CT) scan. This system, described in a study published in the journal Computers in Biology and Medicine, has been carried out by researchers of the UB, the EURECAT Technology Centre of Catalonia, and the Computing Vision Center (CVC).

Earth Sciences - Computer Science - 29.11.2021

Artificial intelligence could be used to accurately predict tsunamis
A reliable early warning system to detect tsunamis could be a step closer thanks to research from Cardiff University. Researchers say their analysis of ocean soundwaves triggered by underwater earthquakes has enabled them to develop artificial intelligence (AI) that allow prediction of when a tsunami might occur.

Astronomy / Space Science - Computer Science - 23.11.2021

More than 300 possible new exoplanets
UCLA astronomers have identified 366 new exoplanets, thanks in large part to an algorithm developed by a UCLA postdoctoral scholar. Among their most noteworthy findings is a planetary system that comprises a star and at least two gas giant planets, each roughly the size of Saturn and located unusually close to one another.

Computer Science - Microtechnics - 23.11.2021

Robots build new hanging gardens
With the help of artificial intelligence and four collaborative robots, researchers at ETH Zurich are designing and fabricating a 22.5-metre-tall green architectural sculpture. Working with Müller Illien Landscape Architects, Timbatec and other partners from industry and research, researchers from the group led by ETH architecture professors Fabio Gramazio and Matthias Kohler are creating a green architectural sculpture for the Tech Cluster Zug.

Chemistry - Computer Science - 17.11.2021

Artificial intelligence helps to find new natural substances
Bioinformatics team develops method that enables fast and confident identification of small molecules Life More than a third of all medicines available today are based on active substances from nature and a research team from the University of Jena has developed a procedure to identify small active substance molecules much more quickly and easily.

Computer Science - Innovation - 15.11.2021

Serious security vulnerabilities in computer memories
Researchers at ETH Zurich have discovered major vulnerabilities in DRAM memory devices, which are widely used in computers, tablets and smartphones. The vulnerabilities have now been published together with the National Cyber Security Centre, which for the first time has assigned an identification number for it.

Physics - Computer Science - 11.11.2021

Canadian researchers achieve first quantum simulation of baryons
Researchers take step towards more complex quantum simulations  A team of researchers led by an Institute for Quantum Computing (IQC) faculty member performed the first-ever simulation of baryons-fundamental quantum particles-on a quantum computer. With their results, the team has taken a step towards more complex quantum simulations that will allow scientists to study neutron stars, learn more about the earliest moments of the universe, and realize the revolutionary potential of quantum computers.