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Physics - Computer Science / Telecom - 08.02.2019
Machine learning reveals hidden turtle pattern in quantum fireworks
Two years ago, physicists at the University of Chicago were greeted with fireworks -atoms shooting out in jets-when they discovered a new form of quantum behavior. But the patterns underlying the bright jets were difficult to pick out from the noise. Instead, the scientists took an approach new to the field: machine learning.

Computer Science / Telecom - 06.02.2019
Peering under the hood of fake-news detectors
Peering under the hood of fake-news detectors
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing. New work from MIT researchers peers under the hood of an automated fake-news detection system, revealing how machine-learning models catch subtle but consistent differences in the language of factual and false stories.

Innovation / Technology - Computer Science / Telecom - 04.02.2019
Scaling Up Search for Analogies Could Be Key to Innovation
AI, crowdsourcing can identify insights that lead to breakthroughs Investment in research is at an all-time high, yet the rate of scientific breakthroughs isn't setting any records. To resolve this quandary, scientists are turning to artificial intelligence and crowdsourcing for help in identifying a key inspiration for innovation - the perfect analogy.

Physics - Computer Science / Telecom - 01.02.2019
Faster than allowed by quantum computing?
Faster than allowed by quantum computing?
Researchers determine the performance of multi-dimensional bits Quantum computers are more powerful than classical computers since they work with coherent "quantum bits" instead of ordinary zeroes and ones. But what if the laws of nature were different from what we think today - could there be even more efficient "science fiction computers"- Researchers from the Austrian Academy of Sciences and the University of Vienna have now shown that this is not possible - as long as those machines satisfy the same construction principles as ordinary circuits and their quantum counterparts.

Astronomy / Space Science - Computer Science / Telecom - 01.02.2019
Stanford spurs AI navigation for space rendezvous software
A Stanford engineer is helping to develop an AI-based navigation system that would enable the space-borne equivalent of tow trucks to find and rescue satellites from so-called graveyard orbits. (Image credit: Pixabay) Stanford researchers are developing an AI-powered navigation system to direct spaceborne 'tow trucks' designed to restart or remove derelict satellites circling aimlessly in graveyard orbits.

Life Sciences - Computer Science / Telecom - 01.02.2019
Putting neural networks under the microscope
Putting neural networks under the microscope
Researchers pinpoint the "neurons" in machine-learning systems that capture specific linguistic features during translation tasks. Researchers from MIT and the Qatar Computing Research Institute (QCRI) are putting the machine-learning systems known as neural networks under the microscope. In a study that sheds light on how these systems manage to translate text from one language to another, the researchers developed a method that pinpoints individual nodes, or "neurons," in the networks that capture specific linguistic features.

Computer Science / Telecom - 30.01.2019
MIT robot combines vision and touch to learn the game of Jenga
MIT robot combines vision and touch to learn the game of Jenga
Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line. It gently pokes at a tower of blocks, looking for the best block to extract without toppling the tower, in a solitary, slow-moving, yet surprisingly agile game of Jenga. The robot, developed by MIT engineers, is equipped with a soft-pronged gripper, a force-sensing wrist cuff, and an external camera, all of which it uses to see and feel the tower and its individual blocks.

Computer Science / Telecom - Astronomy / Space Science - 30.01.2019
Engineers program marine robots to take calculated risks
Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments. We know far less about the Earth's oceans than we do about the surface of the moon or Mars. The sea floor is carved with expansive canyons, towering seamounts, deep trenches, and sheer cliffs, most of which are considered too dangerous or inaccessible for autonomous underwater vehicles (AUV) to navigate.

Computer Science / Telecom - Health - 29.01.2019
Could AI improve patient care in the NHS?
The adoption of artificial intelligence in the diagnosis and prognosis of disease could help to extend people's lives whilst providing significant savings for the NHS. This is according to researchers from Cardiff University who have provided compelling evidence showing the benefits that state-of-the-art techniques can bring to risk assessments in patients.

Computer Science / Telecom - 28.01.2019
Tackling the fake news problem
Tackling the fake news problem
Meet the researchers who are trying to understand and solve fake news problems in the digital age. Fake news is a human activity, so humans should be involved Dr Julio Amador The term ‘fake news' regularly hits the headlines these days. Whether it is to do with political events or information on the various social platforms, it seems like it is getting harder and harder to know who to trust to be a reliable source of information.

Health - Computer Science / Telecom - 25.01.2019
Filling the gaps in a patient's medical data
Filling the gaps in a patient’s medical data
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information. MIT researchers have developed a model that can assimilate multiple types of a patient's health data to help doctors make decisions with incomplete information. The field of "predictive analytics" holds promise for many health care applications.

Computer Science / Telecom - 24.01.2019
Identifying artificial intelligence
Identifying artificial intelligence "blind spots"
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world. A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match what's actually happening in the real world.

Computer Science / Telecom - Physics - 23.01.2019
CMU’s DeltaFS Team Aims To Create Smarter Ways To Organize, Store Supercomputer Data
Trinity occupies a footprint the size of an entire floor of most office buildings, but its silently toiling workers are not flesh and blood. Trinity is a supercomputer at Los Alamos National Laboratory in New Mexico, made up of row upon row of CPUs stacked from the white-tiled floor to the fluorescent ceiling.

Computer Science / Telecom - 23.01.2019
A faster, more efficient cryptocurrency
A faster, more efficient cryptocurrency
Design reduces by 99 percent the data users need to join the network and verify transactions. MIT researchers have developed a new cryptocurrency that drastically reduces the data users need to join the network and verify transactions - by up to 99 percent compared to today's popular cryptocurrencies.

Microtechnics - Computer Science / Telecom - 18.01.2019
Smart microrobots that can adapt to their surroundings
Smart microrobots that can adapt to their surroundings
Scientists at EPFL and ETH Zurich have developed tiny elastic robots that can change shape depending on their surroundings. Modeled after bacteria and fully biocompatible, these robots optimize their movements so as to get to hard-to-reach areas of the human body. They stand to revolutionize targeted drug delivery.

Computer Science / Telecom - Innovation / Technology - 18.01.2019
Savvy Use of Data, Technology Tells the Planet’s Story
The story of EarthTime begins on Mars. EarthTime today is a technological platform that helps people comprehend massive amounts of data about our planet and come to grips with our biggest global challenges. But 15 years ago, people just wanted to see what the Red Planet looked like. When NASA's Spirit and Opportunity rovers landed on Mars in 2004, they began sending back mesmerizing photos of the bleak landscape.

Earth Sciences - Computer Science / Telecom - 16.01.2019
Researchers are using a data-driven approach to make earthquakes less damaging
Researchers are using a data-driven approach to make earthquakes less damaging
Technologies like artificial intelligence, sensor networks and advances in mapping are driving the work Amy Akmal The 1994 Northridge earthquake was one of the costliest natural disasters in U.S. history. Fifty-seven people died, more than 8,700 were injured, and property damages amounted to billions of dollars.

Life Sciences - Computer Science / Telecom - 16.01.2019
A robot recreates the walk of a 300-million-year-old animal
A robot recreates the walk of a 300-million-year-old animal
Using the fossil and fossilized footprints of a 300-million-year-old animal, an interdisciplinary team that includes scientists from EPFL and Humboldt-Universität zu Berlin have developed a method for identifying the most likely gaits of extinct animals and designed a robot that can recreate their walk.

Computer Science / Telecom - Mathematics - 15.01.2019
Democratizing data science
Democratizing data science
Tool for nonstatisticians automatically generates models that glean insights from complex datasets. MIT researchers are hoping to advance the democratization of data science with a new tool for nonstatisticians that automatically generates models for analyzing raw data. Democratizing data science is the notion that anyone, with little to no expertise, can do data science if provided ample data and user-friendly analytics tools.

Computer Science / Telecom - 08.01.2019
Imperial experts create robot helper to understand and respond to human movement
Researchers at Imperial have created a new robot controller using game theory, allowing the robot to learn when to assist a human. The past decade has seen robots work increasingly with humans - for example in manufacturing, assistive devices for physically impaired individuals, and in surgery. However, robots cannot currently react in a personalised way to individual users, which limits their usefulness to humans.

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