News 2019
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Computer Science - Event - 26.11.2019
Transport - Computer Science - 25.11.2019 
Tracking the eye of the pilot
In a collaboration with Swiss International Air Lines, NASA and other partners, researchers at ETH Zurich have developed eye-tracking software for use in pilot training. This allows instructors to analyse the gaze behaviour of student pilots in the cockpit. Anyone who has ever sat in a cockpit will know how mentally challenging it is to pilot an aircraft.
Physics - Computer Science - 22.11.2019 
A "simulation booster" for nanoelectronics
Two research groups from ETH Zurich have developed a method that can simulate nanoelectronics devices and their properties realistically, quickly and efficiently. This offers a ray of hope for the industry and data centre operators alike, both of which are struggling with the (over)heating that comes with increasingly small and powerful transistors.
Computer Science - Microtechnics - 21.11.2019
Computer Science - Microtechnics - 19.11.2019
Computer Science - 14.11.2019
Computer Science - 13.11.2019 
ZombieLoad 2.0 also attacks new processors and software patch
By Birgit Baustädter At the beginning of 2019, an international research team led by Daniel Gruss, Michael Schwarz and Moritz Lipp from TU Graz discovered the processor loophole ZombieLoad. Since then there has been a software patch and new processors. But with a new variant of the old attack these are no longer safe either.
Computer Science - Physics - 08.11.2019 
Machine Learning Enhances Light-Beam Performance at the Advanced Light Source
Successful demonstration of algorithm by Berkeley Lab-UC Berkeley team shows technique could be viable for scientific light sources around the globe Synchrotron light sources are powerful facilities that produce light in a variety of "colors," or wavelengths - from the infrared to X-rays - by accelerating electrons to emit light in controlled beams.
Computer Science - Earth Sciences - 08.11.2019 
Using AI to predict where and when lightning will strike
Researchers at EPFL have developed a novel way of predicting lightning strikes to the nearest 10 to 30 minutes and within a radius of 30 kilometers. The system uses a combination of standard data from weather stations and artificial intelligence. Lightning is one of the most unpredictable phenomena in nature.
Computer Science - Health - 06.11.2019 
Sex and gender analysis improves science
Including a gender and sex analysis in scientific research can open the door to discovery and innovation. Whether it's designing equipment or developing drugs, scientists often fail to consider how gendered preferences, biases and assumptions can lead to unintended consequences. According to Stanford historian Londa Schiebinger , it's time for science to catch up.
Computer Science - 04.11.2019 
Machine Learning Algorithms Help Predict Traffic Headaches
U rban traffic roughly follows a periodic pattern associated with the typical "9 to 5" work schedule. However, when an accident happens, traffic patterns are disrupted. Designing accurate traffic flow models, for use during accidents, is a major challenge for traffic engineers, who must adapt to unforeseen traffic scenarios in real time.
Innovation - Computer Science - 29.10.2019
Life Sciences - Computer Science - 29.10.2019 
Popular third-party genetic genealogy site is vulnerable to compromised data, impersonations
DNA testing services like 23andMe, Ancestry.com and MyHeritage are making it easier for people to learn about their ethnic heritage and genetic makeup. People can also use genetic testing results to connect to potential relatives by using third-party sites, like GEDmatch , where they can compare their DNA sequences to others in the database who have uploaded test results.
Astronomy / Space Science - Computer Science - 24.10.2019 
NSF invests in cyberinfrastructure institute to harness cosmic data
The National Science Foundation awarded the University of Wisconsin-Milwaukee and nine collaborating organizations, including the University of Washington, $2.8 million for a two-year "conceptualization phase" of the Scalable Cyberinfrastructure Institute for Multi-Messenger Astrophysics. SCIMMA's goal is to develop algorithms, databases and computing and networking cyberinfrastructure to help scientists interpret multi-messenger observations.
Computer Science - Microtechnics - 22.10.2019
Computer Science - Mathematics - 21.10.2019 
With Giotto, artificial intelligence gets a third dimension
The Giotto project, launched by EPFL startup Learn to Forecast, intends to revolutionize the way we use artificial intelligence. Drawing on the science of shapes, Giotto pushes AI forward by making it more reliable and intuitive in areas such as materials science, neuroscience and biology. Giotto is open-source and available free of charge on GitHub, and it's already being used by some EPFL scientists.
Computer Science - 20.10.2019
Economics - Computer Science - 15.10.2019 
UQ-developed text analytics app now available for all
Text analytics software developed by The University of Queensland will be available as a 'Software as a Service' product to individual subscribers for the first time. TopicGuide is Leximancer 's new automated approach to text analytics that uses an algorithm developed by former UQ Health and Behavioural Sciences researcher and the company's chief scientist Dr Andrew Smith to quickly identify key trends, concepts and ideas from large pieces of text.
Computer Science - 15.10.2019
Social Sciences - Computer Science - 15.10.2019
Computer Science
Results 21 - 40 of 163.
Snapshot of artificial intelligence reveals challenges
A periodic review of the artificial intelligence industry revealed the potential pitfalls of outsourcing our problems for technology to solve rather than addressing the causes, and of allowing outdated predictive modeling to go unchecked. As part of Stanford's ongoing 100-year study on artificial intelligence, known as the AI100, two workshops recently considered the issues of care technologies and predictive modeling to inform the future development of AI technologies.
A periodic review of the artificial intelligence industry revealed the potential pitfalls of outsourcing our problems for technology to solve rather than addressing the causes, and of allowing outdated predictive modeling to go unchecked. As part of Stanford's ongoing 100-year study on artificial intelligence, known as the AI100, two workshops recently considered the issues of care technologies and predictive modeling to inform the future development of AI technologies.
In a collaboration with Swiss International Air Lines, NASA and other partners, researchers at ETH Zurich have developed eye-tracking software for use in pilot training. This allows instructors to analyse the gaze behaviour of student pilots in the cockpit. Anyone who has ever sat in a cockpit will know how mentally challenging it is to pilot an aircraft.
Two research groups from ETH Zurich have developed a method that can simulate nanoelectronics devices and their properties realistically, quickly and efficiently. This offers a ray of hope for the industry and data centre operators alike, both of which are struggling with the (over)heating that comes with increasingly small and powerful transistors.
New Algorithm trains AI to avoid bad behaviors
Robots, self-driving cars and other intelligent machines could become better-behaved thanks to a new way to help machine learning designers build AI applications with safeguards against specific, undesirable outcomes such as racial and gender bias. Artificial intelligence has moved into the commercial mainstream thanks to the growing prowess of machine learning algorithms that enable computers to train themselves to do things like drive cars, control robots or automate decision-making.
Robots, self-driving cars and other intelligent machines could become better-behaved thanks to a new way to help machine learning designers build AI applications with safeguards against specific, undesirable outcomes such as racial and gender bias. Artificial intelligence has moved into the commercial mainstream thanks to the growing prowess of machine learning algorithms that enable computers to train themselves to do things like drive cars, control robots or automate decision-making.
Trash Talk Hurts, Even When It Comes From a Robot
Trash talking has a long and colorful history of flustering game opponents, and now researchers at Carnegie Mellon University have demonstrated that discouraging words can be perturbing even when uttered by a robot. The trash talk in the study was decidedly mild, with utterances such as "I have to say you are a terrible player," and "Over the course of the game your playing has become confused." Even so, people who played a game with the robot - a commercially available humanoid robot known as Pepper - performed worse when the robot discouraged them and better when the robot encouraged them.
Trash talking has a long and colorful history of flustering game opponents, and now researchers at Carnegie Mellon University have demonstrated that discouraging words can be perturbing even when uttered by a robot. The trash talk in the study was decidedly mild, with utterances such as "I have to say you are a terrible player," and "Over the course of the game your playing has become confused." Even so, people who played a game with the robot - a commercially available humanoid robot known as Pepper - performed worse when the robot discouraged them and better when the robot encouraged them.
How hackers could use Wi-Fi to track you inside your home
As connected devices such as voice assistants, security cameras, and smart appliances grow in popularity, the homes and offices where they are installed become increasingly filled with a dense web of Wi-Fi signals. A new study from University of Chicago and University of California, Santa Barbara researchers finds that external attackers can use inexpensive technology to turn these ambient signals into motion detectors, monitoring activity inside a building without being detected themselves.
As connected devices such as voice assistants, security cameras, and smart appliances grow in popularity, the homes and offices where they are installed become increasingly filled with a dense web of Wi-Fi signals. A new study from University of Chicago and University of California, Santa Barbara researchers finds that external attackers can use inexpensive technology to turn these ambient signals into motion detectors, monitoring activity inside a building without being detected themselves.
By Birgit Baustädter At the beginning of 2019, an international research team led by Daniel Gruss, Michael Schwarz and Moritz Lipp from TU Graz discovered the processor loophole ZombieLoad. Since then there has been a software patch and new processors. But with a new variant of the old attack these are no longer safe either.
Successful demonstration of algorithm by Berkeley Lab-UC Berkeley team shows technique could be viable for scientific light sources around the globe Synchrotron light sources are powerful facilities that produce light in a variety of "colors," or wavelengths - from the infrared to X-rays - by accelerating electrons to emit light in controlled beams.
Researchers at EPFL have developed a novel way of predicting lightning strikes to the nearest 10 to 30 minutes and within a radius of 30 kilometers. The system uses a combination of standard data from weather stations and artificial intelligence. Lightning is one of the most unpredictable phenomena in nature.
Including a gender and sex analysis in scientific research can open the door to discovery and innovation. Whether it's designing equipment or developing drugs, scientists often fail to consider how gendered preferences, biases and assumptions can lead to unintended consequences. According to Stanford historian Londa Schiebinger , it's time for science to catch up.
U rban traffic roughly follows a periodic pattern associated with the typical "9 to 5" work schedule. However, when an accident happens, traffic patterns are disrupted. Designing accurate traffic flow models, for use during accidents, is a major challenge for traffic engineers, who must adapt to unforeseen traffic scenarios in real time.
Touch-based display helps blind people create
Stanford researchers designed a tactile display that aims to make 3D printing and computer-aided design accessible to people who are blind and visually impaired. With the goal of increasing access to making, engineers at Stanford University have collaborated with members of the blind and visually impaired community to develop a touch-based display that mimics the geometry of 3D objects designed on a computer.
Stanford researchers designed a tactile display that aims to make 3D printing and computer-aided design accessible to people who are blind and visually impaired. With the goal of increasing access to making, engineers at Stanford University have collaborated with members of the blind and visually impaired community to develop a touch-based display that mimics the geometry of 3D objects designed on a computer.
DNA testing services like 23andMe, Ancestry.com and MyHeritage are making it easier for people to learn about their ethnic heritage and genetic makeup. People can also use genetic testing results to connect to potential relatives by using third-party sites, like GEDmatch , where they can compare their DNA sequences to others in the database who have uploaded test results.
The National Science Foundation awarded the University of Wisconsin-Milwaukee and nine collaborating organizations, including the University of Washington, $2.8 million for a two-year "conceptualization phase" of the Scalable Cyberinfrastructure Institute for Multi-Messenger Astrophysics. SCIMMA's goal is to develop algorithms, databases and computing and networking cyberinfrastructure to help scientists interpret multi-messenger observations.
Rebel robot helps researchers understand human-machine cooperation
In a new twist on human-robot research, computer scientists at the University of Bristol have developed a handheld robot that first predicts then frustrates users by rebelling against their plans, thereby demonstrating an understanding of human intention. In an increasingly technological world, cooperation between humans and machines is an essential aspect of automation.
In a new twist on human-robot research, computer scientists at the University of Bristol have developed a handheld robot that first predicts then frustrates users by rebelling against their plans, thereby demonstrating an understanding of human intention. In an increasingly technological world, cooperation between humans and machines is an essential aspect of automation.
The Giotto project, launched by EPFL startup Learn to Forecast, intends to revolutionize the way we use artificial intelligence. Drawing on the science of shapes, Giotto pushes AI forward by making it more reliable and intuitive in areas such as materials science, neuroscience and biology. Giotto is open-source and available free of charge on GitHub, and it's already being used by some EPFL scientists.
Artificial skin creates first ticklish devices
A new interface developed by researchers in Bristol and Paris takes touch technology to the next level by providing an artificial skin-like membrane for augmenting interactive devices such as phones, wearables or computers. The Skin-On interface, developed by researchers in the Faculty of Engineering at the University of Bristol in partnership with Telecomm ParisTech and Sorbonne University , mimics human skin in appearance but also in sensing resolution.
A new interface developed by researchers in Bristol and Paris takes touch technology to the next level by providing an artificial skin-like membrane for augmenting interactive devices such as phones, wearables or computers. The Skin-On interface, developed by researchers in the Faculty of Engineering at the University of Bristol in partnership with Telecomm ParisTech and Sorbonne University , mimics human skin in appearance but also in sensing resolution.
Text analytics software developed by The University of Queensland will be available as a 'Software as a Service' product to individual subscribers for the first time. TopicGuide is Leximancer 's new automated approach to text analytics that uses an algorithm developed by former UQ Health and Behavioural Sciences researcher and the company's chief scientist Dr Andrew Smith to quickly identify key trends, concepts and ideas from large pieces of text.
Female-led Team Uses AI to Help Machines Play Nice with Humans
An interdisciplinary group of researchers from Carnegie Mellon University has received a $2.8 million DARPA grant to enhance machine-human team collaborations Three Carnegie Mellon University researchers - the lead investigator, Anita Williams Woolley at the Tepper School of Business , along with co-investigators Cleotilde Gonzalez at the Dietrich College of Humanities and Social Sciences and Henny Admoni at The Robotics Institute - are l
An interdisciplinary group of researchers from Carnegie Mellon University has received a $2.8 million DARPA grant to enhance machine-human team collaborations Three Carnegie Mellon University researchers - the lead investigator, Anita Williams Woolley at the Tepper School of Business , along with co-investigators Cleotilde Gonzalez at the Dietrich College of Humanities and Social Sciences and Henny Admoni at The Robotics Institute - are l
Increase in online hate speech leads to more crimes against minorities
An increase in hate speech on social media leads to more crimes against minorities in the physical world, a study shows. Academics from Cardiff University's HateLab project collected Twitter and police recorded crime data from London over an eight-month period to analyse whether a significant association existed.
An increase in hate speech on social media leads to more crimes against minorities in the physical world, a study shows. Academics from Cardiff University's HateLab project collected Twitter and police recorded crime data from London over an eight-month period to analyse whether a significant association existed.
