news

« BACK

Computer Science



Results 261 - 280 of 1437.


Computer Science - 03.11.2021
SEI Asserts Bold Vision for Engineering Future Software Systems
Carnegie Mellon University In as little as 10 to 15 years, software engineering may look more like a technical conversation between humans and computers than a process of manually refining specifications and code, and the software ecosystem must prepare for that future. That is just one of the conclusions of a study titled " Architecting the Future of Software Engineering: A National Agenda for Software Engineering Research & Development " that was released today by the Software Engineering Institute (SEI) at Carnegie Mellon University.

Computer Science - 02.11.2021
How words acquire their meaning
How words acquire their meaning
Researchers in EPFL's College of Humanities have used machine learning to reveal how humans bridge the often-significant gaps between signal and meaning in communication. Robert Lieck and Martin Rohrmeier of the Digital and Cognitive Musicology Laboratory (DCML) used machine learning and artificial intelligence to explore the alignments and misalignments between signals - such as words and gestures - and meaning in communication.

Life Sciences - Computer Science - 29.10.2021
Solving Complex Learning Tasks in Brain-Inspired Computers
Solving Complex Learning Tasks in Brain-Inspired Computers
Researchers from Heidelberg and Bern develop a new training approach for spiking neural networks Developing a machine that processes information as efficiently as the human brain has been a long-standing research goal towards true artificial intelligence. An interdisciplinary research team at Heidelberg University and the University of Bern (Switzerland) led by Dr Mihai Petrovici is tackling this problem with the help of biologically-inspired artificial neural networks.

Health - Computer Science - 28.10.2021
Computer scientists developed method for identifying disease biomarkers with high accuracy
Scientists and medical practitioners now have a greater chance of discovering possible diseases through tissue sample analysis Researchers are developing a deep learning network capable of detecting disease biomarkers with a much higher degree of accuracy. Experts at the University of Waterloo's Cheriton School of Computer Science have created a deep neural network that achieves 98 per cent detection of peptide features in a dataset.

Computer Science - 25.10.2021
Distributed protocol underpinning cloud computing automatically determined safe and secure
Distributed protocol underpinning cloud computing automatically determined safe and secure
Two researchers have debunked the common assumption that the famous Paxos consensus protocol is too complex to be proven safe without hours of manual labor In an important step toward ensuring the protocols that dictate how our networked services operate are safe, secure and running as expected, University of Michigan researchers have automated a technique called formal verification.

Computer Science - 20.10.2021
Machine Learning Can Be Fair and Accurate
Carnegie Mellon University CMU Researchers Dispel Theoretical Assumption About ML Trade-Offs in Policy Decisions Carnegie Mellon researchers are challenging a long-held assumption that there is a trade-off between accuracy and fairness when using machine learning to make public policy decisions.

Computer Science - Life Sciences - 14.10.2021
Deep-learning-based image analysis is now just a click away
Researchers from the Universidad Carlos III de Madrid (UC3M), the Instituto de Investigación Sanitaria Gregorio Marańón (IiSGM), and collaborators in Switzerland and Sweden, have developed a tool, called deepImageJ. The tools processes and analyses using models based on artificial intelligence biomedical images (for example, acquired with microscopes or radiological scanners), improving their quality or identifying and classifying specific elements in them, among other tasks.

Life Sciences - Computer Science - 11.10.2021
Machine Learning Offers High-Definition Glimpse of How Genomes Organize in Single Cells
Carnegie Mellon University Within the microscopic boundaries of a single human cell, the intricate folds and arrangements of protein and DNA bundles dictate a person's fate: which genes are expressed, which are suppressed, and - importantly - whether they stay healthy or develop disease. Despite the potential impact these bundles have on human health, science knows little about how genome folding happens in the cell nucleus and how that influences the way genes are expressed.

Politics - Computer Science - 08.10.2021
A new Lab for Science in Diplomacy in Geneva
A new Lab for Science in Diplomacy in Geneva
ETH Zurich and UNIGE establish an interdisciplinary unit dedicated to science in diplomacy in the heart of international Geneva. This joint lab will bring scientific insights and methods into diplomatic, international conflict resolution and help address the global challenges our societies are facing.

Computer Science - Economics - 06.10.2021
Amsterdam Business School deploys analytics and AI for a better world
The Amsterdam Business School (ABS) is collaborating with various universities, scientific institutes and businesses to improve machine learning and optimisation techniques. Dick den Hertog, Professor of Operations Research, wants to use such techniques and apply them to new areas as a way of contributing to the 17 Sustainable Development Goals (SDGs) of the United Nations.

Computer Science - 05.10.2021
Worm atlas could help crack mysteries in animal evolution
Worm atlas could help crack mysteries in animal evolution
Researchers in the Friedrich group have contributed to create an atlas that links subcellular structures to gene expression in each cell of the sea worm Platynereis dumerilii , a key model organism for the study of development and evolution. The atlas will help researchers to shed light onto molecular and cellular mechanisms at play in our very ancient ancestors.

Computer Science - Life Sciences - 01.10.2021
Deep-learning-based image analysis is now just a click away
Deep-learning-based image analysis is now just a click away
Under an initiative by EPFL's Center for Imaging, a team of engineers from EPFL and Universidad Carlos III de Madrid have developed a plugin that makes it easier to incorporate artificial intelligence into image analysis for life-science research. The plugin, called deepImageJ, is described in a paper appearing today.

Physics - Computer Science - 28.09.2021
Cracking Open Strong Field Quantum Electrodynamics
Cracking Open Strong Field Quantum Electrodynamics
Berkeley Lab's researchers' unique capabilities aided international effort to probe fundamental questions in physics -By William Schulz A newly published theoretical and computer modeling study suggests that the world's most powerful lasers might finally crack the elusive physics behind some of the most extreme phenomena in the universe - gamma ray bursts, pulsar magnetospheres, and more.

Physics - Computer Science - 23.09.2021
Augmented reality for testing nuclear components
Augmented reality for testing nuclear components
A new machine learning platform detects and quantifies radiation-induced defects instantaneously and could be extended to interpret other microscopy data A new machine vision system for testing materials and parts for nuclear reactors shows damage, such as swelling and defects due to radiation, in real time.

Physics - Computer Science - 22.09.2021
Simplifying quantum systems
Simplifying quantum systems
If only it were less prone to error, quantum physics might already be giving us instant solutions to seemingly unsolvable problems. researchers are therefore working to develop systems that are more robust. In crude terms, our digitally driven information society is based on a simple binary opposition: 0 or 1.

Computer Science - Physics - 22.09.2021
Computer scientists take on the quantum challenge
Computer scientists take on the quantum challenge
For a long time, the development of quantum computers was concerned with theoretical and hardware aspects. But as the focus shifts towards programming, software and security issues, the classical computer sciences are coming back into play. Physicists had long nurtured the ambition to build a quantum computer.

Computer Science - Pharmacology - 20.09.2021
Augmented reality helps tackle fear of spiders
Augmented reality helps tackle fear of spiders
Researchers from the University of Basel have developed an augmented reality app for smartphones in order to help people reduce their fear of spiders. The app has already shown itself to be effective in a clinical trial, with subjects experiencing less fear of real spiders after completing just a few training units with the app at home.

Health - Computer Science - 16.09.2021
Groundbreakers: U of T’s Data Sciences Institute to help researchers find answers to their biggest questions
Researchers working with the multi-university CHIME radio telescope in B.C. are collaborating with experts at U of T's Data Sciences Institute to solve computational and processing problems (photo courtesy of the Chime Collaboration) When University of Toronto astronomer Bryan Gaensler looks up at the night sky, he doesn't just see stars - he sees data.

Health - Computer Science - 15.09.2021
World first for AI and machine learning to treat COVID-19 patients worldwide
World first for AI and machine learning to treat COVID-19 patients worldwide
Addenbrooke's Hospital in Cambridge along with 20 other hospitals from across the world and healthcare technology leader, NVIDIA, have used artificial intelligence (AI) to predict Covid patients' oxygen needs on a global scale. Creating software to match the performance of our best radiologists is complex, but a truly transformative aspiration Fiona Gilbert The research was sparked by the pandemic and set out to build an AI tool to predict how much extra oxygen a Covid-19 patient may need in the first days of hospital care, using data from across four continents.

Computer Science - Health - 15.09.2021
Machine learning algorithm to diagnose deep vein thrombosis
A team of researchers are developing the use of an artificial intelligence (AI) algorithm with the aim of diagnosing deep vein thrombosis (DVT) more quickly and as effectively as traditional radiologist-interpreted diagnostic scans, potentially cutting down long patient waiting lists and avoiding patients unnecessarily receiving drugs to treat DVT when they don't have it.