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Health - Computer Science / Telecom - 29.08.2018
Model can more naturally detect depression in conversations
Model can more naturally detect depression in conversations
Neural network learns speech patterns that predict depression in clinical interviews. To diagnose depression, clinicians interview patients, asking specific questions - about, say, past mental illnesses, lifestyle, and mood - and identify the condition based on the patient's responses. In recent years, machine learning has been championed as a useful aid for diagnostics.

Chemistry - Computer Science / Telecom - 28.08.2018
Researchers Put A.I. to Work Making Chemistry Predictions
Researchers Put A.I. to Work Making Chemistry Predictions
As chemistry has gotten more advanced and the chemical reactions more complex, it's no longer always practical for researchers to sit down at a lab bench and start mixing chemicals to see what they can come up with. Tom Miller , a professor of chemistry at Caltech; Matt Welborn, a postdoctoral scholar at the Resnick Sustainability Institute; and Lixue Cheng, a chemistry and chemical engineering graduate student, have developed a new tool that uses machine learning to predict chemical reactions long before reagents hit the test tube.

Physics - Computer Science / Telecom - 28.08.2018
Researchers contribute to further Higgs boson breakthrough
For the second time this summer, University of Glasgow physicists are celebrating a groundbreaking new measurement of the Higgs boson from the ATLAS Collaboration at CERN's Large Hadron Collider (LHC). This time, they have observed the Higgs boson decaying into a pair of bottom (b) quarks. Professor Aidan Robson, who leads the University of Glasgow's team on this analysis work, explained, “Our theory of particle physics - the ‘Standard Model' - predicts that most Higgs bosons should decay to b-quarks.

Computer Science / Telecom - Microtechnics - 22.08.2018
Kids connect with robot reading partners
THIS NEWS IS EMBARGOED BY THE JOURNAL SCIENCE ROBOTICS UNTIL 1 P.M. CDT ON AUG. 22, 2018 × Kids learn better with a friend. They're more enthusiastic and understand more if they dig into a subject with a companion. But what if that companion is artificial? Researchers at the University of Wisconsin-Madison have built a robot, named Minnie, to serve as a reading buddy to middle school kids, and Minnie's new friends grew more excited about books and more attached to the robot over two weeks of reading together.

Social Sciences - Computer Science / Telecom - 21.08.2018
Project will build AI models to explain, predict and influence the social world
Data-driven models are increasingly used to simulate and make predictions about complex systems, from online shopping preferences and the performance of the stock market to the spread of disease and political unrest. But while powerful methods in machine learning and computational social science improve at predicting the future, they often lack the ability to explain why those results occur, rendering these models less helpful for shaping interventions and policy.

Physics - Computer Science / Telecom - 21.08.2018
Making light work of quantum computing
Light may be the missing ingredient in making usable quantum silicon computer chips, according to an international study featuring a University of Queensland researcher. The team has engineered a silicon chip that can guide single particles of light - photons - along optical tracks, encoding and processing quantum-bits of information known as ‘qubits'.

Physics - Computer Science / Telecom - 20.08.2018
Multi-purpose silicon chip created for quantum information processing
Multi-purpose silicon chip created for quantum information processing
20 August 2018 An international team of researchers led by the University of Bristol have demonstrated that light can be used to implement a multi-functional quantum processor. This small device can be used as a scientific tool to perform a wide array of quantum information experiments, while at the same time showing the way to how fully functional quantum computers might be engineered from large scale fabrication processes.

Computer Science / Telecom - 14.08.2018
Modern security technology in Intel processors not watertight
Technology giant Intel has been including an innovative security method in its processors for a number of years. This method works as a vault for your personal data. However, KU Leuven researchers have shown that the system can, in fact, be hacked using the Foreshadow attack. What's more, information processed in cloud systems also seems to be vulnerable to this kind of attack.

Environment - Computer Science / Telecom - 14.08.2018
2018-2022 expected to be abnormally hot years
2018-2022 expected to be abnormally hot years
This summer's world-wide heatwave makes 2018 a particularly hot year. As will be the next few years, according to a study led by Florian Sévellec, a CNRS researcher at the Laboratory for Ocean Physics and Remote Sensing (LOPS) (CNRS/IFREMER/IRD/University of Brest) and at the University of Southampton, and published in the 14 August 2018 edition of Nature Communications .

Health - Computer Science / Telecom - 13.08.2018
Artificial intelligence equal to experts in detecting eye diseases
Artificial intelligence equal to experts in detecting eye diseases
An artificial intelligence (AI) system, which can recommend the correct referral decision for more than 50 eye diseases, as accurately as experts has been developed by Moorfields Eye Hospital NHS Foundation Trust, DeepMind Health and UCL.

Environment - Computer Science / Telecom - 13.08.2018
Algorithm Provides Early Warning System for Tracking Groundwater Contamination
Algorithm Provides Early Warning System for Tracking Groundwater Contamination
Groundwater contamination is increasingly recognized as a widespread environmental problem. The most important course of action often involves long-term monitoring. But what is the most cost-effective way to monitor when the contaminant plumes are large, complex, and long-term, or an unexpected event such as a storm could cause sudden changes in contaminant levels that may be missed by periodic sampling?

Computer Science / Telecom - Life Sciences - 09.08.2018
For ever more efficient optical fibres
By applying a computer program that mimics the way the human brain learns to identify objects, EPFL scientists are now able to reconstruct images that have been degraded by passing through an optical fiber. EPFL researchers have taught a type of machine learning algorithm to reconstruct images that became blurred while being transmitted through an optical fiber.

Computer Science / Telecom - Chemistry - 09.08.2018
Chemical Engineers Simplify Models Via AI
Researchers in Carnegie Mellon University's Department of Chemical Engineering are using a novel machine learning approach, called ALAMO, to build simple, but accurate models for applications that can be used to make sense of massive amounts of data quickly. "We don't just use algorithms that others develop,” said Nikolaos Sahinidis, the John E. Swearingen Professor of Chemical Engineering, developer of ALAMO and a CMU alumnus.

Health - Computer Science / Telecom - 09.08.2018
Crowdsourcing algorithms to predict epileptic seizures
Crowdsourcing algorithms to predict epileptic seizures
A  study  by University of Melbourne researchers reveals clinically relevant epileptic seizure prediction is possible in a wider range of patients than previously thought, thanks to the crowdsourcing of more than 10 000 algorithms worldwide.

Health - Computer Science / Telecom - 09.08.2018
Artificial intelligence model
Artificial intelligence model "learns" from patient data to make cancer treatment less toxic
Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors. MIT researchers are employing novel machine-learning techniques to improve the quality of life for patients by reducing toxic chemotherapy and radiotherapy dosing for glioblastoma, the most aggressive form of brain cancer.

Career - Computer Science / Telecom - 08.08.2018
Digital gig economy is bad for your wellbeing
The poor quality working conditions associated with the digital gig economy may have consequences for employees' wellbeing, according to new Oxford University research. The poor quality working conditions associated with the digital gig economy may have consequences for employees' wellbeing, according to new Oxford University research.

Computer Science / Telecom - Microtechnics - 08.08.2018
’Sheepdog robot’ herds birds away from flight paths
Scientists have equipped a drone with a new algorithm to herd birds without human input, saving aeroplanes and birds alike. The technology, developed by CalTech , Imperial College London, and the Korea Advanced Institute of Science and Technology (KAIST), allows a single drone to herd an entire flock of birds away from the airspace of an airport, without harming individual birds or the flock's formation.

Career - Computer Science / Telecom - 08.08.2018
Digital gig economy is bad for your wellbeing
The poor quality working conditions associated with the digital gig economy may have consequences for employees' wellbeing, according to new Oxford University research. The poor quality working conditions associated with the digital gig economy may have consequences for employees' wellbeing, according to new Oxford University research.

Physics - Computer Science / Telecom - 03.08.2018
Particle physicists team up with AI to solve toughest science problems
Researchers from SLAC and around the world increasingly use machine learning to handle Big Data produced in modern experiments and to study some of the most fundamental properties of the universe. Experiments at the Large Hadron Collider (LHC), the world's largest particle accelerator at the European particle physics lab CERN, produce about a million gigabytes of data every second.

Physics - Computer Science / Telecom - 02.08.2018
Engineers develop artificial intelligence device that identifies objects at the speed of light
Engineers develop artificial intelligence device that identifies objects at the speed of light
Matthew Chin A team of UCLA electrical and computer engineers has created a physical artificial neural network — a device modeled on how the human brain works — that can analyze large volumes of data and identify objects at the actual speed of light. The device was created using a 3D printer at the UCLA Samueli School of Engineering.
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