Results 1 - 20 of 42.
Life Sciences - Computer Science - 10.12.2020
DeepLabCut-Live! real-time marker-less motion capture for animals
Behavioral scientists at EPFL introduce DeepLabCut-Live!, a deep-learning tool that can enable real-time feedback studies on animal movement and posture. The software features "maker-less" real-time motion capture, can interface with lab hardware for neurological analysis, and is now available open source for use by researchers.
Health - Computer Science - 03.12.2020
AI now sees and hears COVID in your lungs
DeepChest and DeepBreath, new deep learning algorithms developed at EPFL that identify patterns of COVID-19 in lung images and breath sounds, may help in the fight against other respiratory diseases and the growing challenge of antibiotic resistance. For Dr Mary-Anne Hartley, a medical doctor and researcher in EPFL's intelligent Global Health group (iGH), 2020 has been relentless.
Earth Sciences - Computer Science - 23.11.2020
Safer geothermal energy thanks to supercomputers
Make geothermal energy safer by using supercomputer simulations. That is the aim of the research project FASTER (Forecasting and Assessing Seismicity and Thermal Evolution in Geothermal Reservoirs) which involves Universitą della Svizzera italiana (USI), the Swiss Seismic Service (SED), the Swiss Federal Institute of Technology Zurich (ETH), and the Swiss National Centre for Scientific Computing (CSCS).
Health - Computer Science - 23.11.2020
Virtual reality helps measure vulnerability to stress
Behavioral scientists at EPFL have developed a virtual reality test that assesses a person's vulnerability to stress while exploring immersive environments. The resulting model offers the field of stress research one of the first such tools that does not rely on subjective evaluations. We all react to stress in different ways.
Computer Science - 13.11.2020
New fiber optic sensors transmit data up to 100 times faster
Fiber optic sensors - used in critical applications like detecting fires in tunnels, pinpointing leaks in pipelines and predicting landslides - are about to get even faster and more accurate. EPFL engineers have developed an advanced encoding and decoding system that allows fiber optic sensors to send data up to 100 times faster and over a wider area.
Computer Science - Microtechnics - 11.11.2020
On the way to lifelike robots
In order for robots to be able to achieve more than simple automated machines in the future, they must not only have their own "brain". Empa researchers postulate that artificial intelligence must be expanded to include the capabilities of a Physical Artificial Intelligence, PAI. This will redefine the field of robotics and the relationship between man and machine.
Computer Science - 11.11.2020
450 logic errors found in popular databases
Database systems are under pressure to become more and more powerful. But reliability seems to be suffering as a result. Now, ETH computer scientists have developed a tool to automatically detect logic errors in database systems using three different methods. They found and reported over 450 unique, previously unknown bugs.
Computer Science - Physics - 05.11.2020
Next-generation computer chip with two heads
EPFL engineers have developed a computer chip that combines two functions - logic operations and data storage - into a single architecture, paving the way to more efficient devices. Their technology is particularly promising for applications relying on artificial intelligence. It's a major breakthrough in the field of electronics.
Environment - Computer Science - 03.11.2020
Soot particles influence global warming more than assumed
A team of researchers from ETH Zurich has used simulations on the CSCS supercomputer "Piz Daint" to investigate how ageing mechanisms of soot particles in the atmosphere affect cloud formation. The results show that the influence of ozone and sulfuric acid on soot ageing alters cloud formation and, ultimately, the climate.
Innovation - Computer Science - 30.09.2020
Our actual attention is now measurable
We want to make sure our phones no longer disturb us at the wrong moment. To achieve this, we first have to better understand where our attention lies when using smartphones. Computer scientists at ETH have now developed a system that records eye contact with the display in everyday situations for the first time.
Computer Science - 22.09.2020
EPFL's Predikon: predicting voting results with machine learning
On September 27 Switzerland votes for the first time since the COVID-19 pandemic began, including on a contentious initiative to end the free movement of workers with the European Union. Predikon will be predicting the final outcome within minutes of the release of the first partial municipal results from the Swiss Federal Statistical Office.
Earth Sciences - Computer Science - 22.09.2020
Thousands of seismometers on a single cable
Fibre-optic cables are emerging as a valuable tool for geoscientists and glaciologists. They offer a relatively inexpensive way of measuring even the tiniest glacial earthquakes - plus they can also be used to obtain more accurate images of the geological subsurface in earthquake-prone megacities. Today's fibre-optic cables move data at tremendous speeds, enabling us to stream films and TV shows in HD or even 8K resolution.
Media - Computer Science - 15.09.2020
Giving computers a voice
From Alexa and Siri to translation programs and computer-generated news, anything seems possible these days.The Media Technology Center is searching for applications that could lend a hand with day-to-day editorial work. Every time you talk to Siri on your phone and ask a question or give a command, you are communicating with artificial intelligence.
Computer Science - Materials Science - 11.09.2020
Machine-learning helps sort out massive materials' databases
EPFL and MIT scientists have used machine-learning to organize the chemical diversity found in the ever-growing databases for the popular metal-organic framework materials. Metal-organic frameworks (MOFs) are a class of materials that contain nano-sized pores. These pores give MOFs record-breaking internal surface areas, which can measure up to 7,800 m2 in a single gram of material.
Life Sciences - Computer Science - 11.09.2020
Mapping the depths of the genome
Using algorithms to analyse the whole-genome sequence of a tumour can make treatment more successful - and can even help determine how cells become cancerous. Detailed genetic analysis of tumour tissue samples has become standard practice at a small number of the world's leading hospitals specialising in cancer treatment.
Computer Science - Physics - 09.09.2020
Artificial intelligence explains hydrogen's behavior on giant planets
Using computer simulations powered by machine-learning algorithms EPFL scientists have made an important breakthrough in understanding how hydrogen behaves on Saturn and Jupiter. The giant planets in our solar system are made mainly of hydrogen, mostly in a liquid state. Near the planets- surface, hydrogen exists in an insulating, molecular form - H2 - but closer to the center, it takes on a metallic form where individual atoms can move around freely.
Computer Science - 09.09.2020
A robot that controls highly flexible tools
How do you calculate the coordinated movements of two robot arms so they can accurately guide a highly flexible tool? ETH researchers have integrated all aspects of the optimisation calculations into an algorithm. The hot-wire cutter will be used, among other things, to develop building blocks for a mortar-free structure.
Computer Science - 01.09.2020
Outsmarting the PIN code
A PIN code is usually required at the checkout when paying large sums by credit card. ETH researchers have now discovered a flaw in the security system of some credit cards. Credit cards that enable contactless payments are extremely popular. Small amounts can be charged quickly and easily at the till, and the cards are considered safe because a security code is required to debit large sums.
Life Sciences - Computer Science - 27.08.2020
Binding sites for protein-making machinery
ETH Zurich researchers can predict how tightly a cell's protein synthesis machinery will bind to RNA sequences - even when dealing with many billions of different RNA sequences. This binding plays a key role in determining how much of a specific protein is produced. The scientists are developing their prediction model using a combination of synthetic biology experiments and machine learning algorithms.
Life Sciences - Computer Science - 11.08.2020
New microscopes to unravel the mysteries of brain organization
Researchers around the world share their stunning images and insights: The open source mesoSPIM Initiative The secret of capturing exquisite brain images with a new generation of custom-built microscopes is revealed today . The new microscopes, known as mesoSPIMs, can image the minute detail of brain tissue down to individual neurons that are five times thinner than a human hair, and can uncover the 3D anatomy of entire small organs, faster than ever before.