Computer Science

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Health - Computer Science - 17.09.2020
Extent of India’s COVID nudge campaign revealed
The Government of India's use of nudge theory in the first three months of the pandemic helped to tackle the virus on numerous fronts, a new study suggests. The government urgently needed to buy time and... bring a deeply divided population together to fight a common struggle Ronita Bardhan India has reported nearly five million COVID-19 cases and well over 80,000 deaths (as of 17 September 2020), making the country one of the worst hit in the world.

Computer Science - Transport - 15.09.2020
The accident preventers
Security software for autonomous vehicles Before autonomous vehicles participate in road traffic, they must demonstrate conclusively that they do not pose a danger to others. New software developed at the Technical University of Munich (TUM) prevents accidents by predicting different variants of a traffic situation every millisecond.

Media - Computer Science - 15.09.2020
Giving computers a voice
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.

Health - Computer Science - 11.09.2020
Pandemic Spawns ’Infodemic’ in Scientific Literature
New policies, technologies could help make sense of flood of information The science community has responded to the COVID-19 pandemic with such a flurry of research studies that it is hard for anyone to digest them all. This conundrum underscores a long-standing need to make scientific publication more accessible, transparent and accountable, two artificial intelligence experts assert in a data science journal.

Life Sciences - Computer Science - 11.09.2020
Mapping the depths of the genome
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
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
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.

Physics - Computer Science - 09.09.2020
Seeing objects through clouds and fog
Seeing objects through clouds and fog
Using a new algorithm, Stanford researchers have reconstructed the movements of individual particles of light to see through clouds, fog and other obstructions. Like a comic book come to life, researchers at Stanford University have developed a kind of X-ray vision - only without the X-rays. Working with hardware similar to what enables autonomous cars to "see" the world around them, the researchers enhanced their system with a highly efficient algorithm that can reconstruct three-dimensional hidden scenes based on the movement of individual particles of light, or photons.

Physics - Computer Science - 02.09.2020
Revolutionary quantum breakthrough paves way for safer online communication
The world is one step closer to having a totally secure internet and an answer to the growing threat of cyber-attacks, thanks to a team of international scientists who have created a unique prototype which could transform how we communicate online. The invention led by the University of Bristol, revealed today in the journal Science Advances , has the potential to serve millions of users, is understood to be the largest-ever quantum network of its kind, and could be used to secure people's online communication, particularly in these internet-led times accelerated by the COVID-19 pandemic.

Physics - Computer Science - 02.09.2020
Quantum leap for speed limit bounds
Quantum leap for speed limit bounds
Rice physicists set far-more-accurate limits on speed of quantum information Nature's speed limits aren't posted on road signs, but Rice University physicists have discovered a new way to deduce them that is better - infinitely better, in some cases - than previous methods. "The big question is, 'How fast can anything - information, mass, energy - move in nature?'” said Kaden Hazzard , a theoretical quantum physicist at Rice.

Life Sciences - Computer Science - 01.09.2020
"Biohackers" TV series stored on DNA
Genetic material as a stable storage medium "Biohackers" TV series stored on DNA The first episode of the newly released series "Biohackers" was stored in the form of synthetic DNA. This was made possible by the research of Prof. Reinhard Heckel of the Technical University of Munich (TUM) and his colleague Prof. Robert Grass of ETH Zürich.

Computer Science - 01.09.2020
Outsmarting the PIN code
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.

Computer Science - Media - 27.08.2020
Stanford launches AI-powered TV news analyzer
The Stanford Cable TV News Analyzer is an interactive tool that uses AI to search transcripts and calculate the screen time of public figures appearing on cable TV news. Cable TV news is a primary source of information for millions of Americans each day. The people that appear on cable TV news and the topics they talk about shape public opinion and culture.

Life Sciences - Computer Science - 27.08.2020
Binding sites for protein-making machinery
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.

Computer Science - Electroengineering - 27.08.2020
Brain-inspired electronic system could vastly reduce AI’s carbon footprint
Extremely energy-efficient artificial intelligence is now closer to reality after a study by UCL researchers found a way to improve the accuracy of a brain-inspired computing system. The system, which uses memristors to create artificial neural networks, is at least 1,000 times more energy efficient than conventional transistor-based AI hardware, but has until now been more prone to error.

Computer Science - Health - 25.08.2020
U-M senior’s COVID-19 data model reaches CDC
For Sabrina Corsetti, the pandemic presents an interesting problem-a data problem, that is. Her efforts to model the pandemic's spread using a machine learning algorithm has now been included in those being aggregated for the CDC's weekly projections. Corsetti, a senior majoring in physics and mathematics, had her previous research halted when the University of Michigan suspended in-person classes and labs back in March.

Microtechnics - Computer Science - 25.08.2020
Researchers Train Autonomous Drones Using Cross-Modal Simulated Data
To fly autonomously, drones need to understand what they perceive in the environment and make decisions based on that information. A novel method developed by Carnegie Mellon University researchers allows drones to learn perception and action separately. The two-stage approach overcomes the "simulation-to-reality gap," and creates a way to safely deploy drones trained entirely on simulated data into real-world course navigation.

Health - Computer Science - 20.08.2020
Contact tracing apps unlikely to contain COVID-19 spread
Contract tracing apps used to reduce the spread of COVID-19 are unlikely to be effective without proper uptake and support from concurrent control measures, finds a new study by UCL researchers. The systematic review*, published in Lancet Digital Health , shows that evidence around the effectiveness of automated contact tracing systems is currently very limited, and large-scale manual contact tracing alongside other public health control measures - such as physical distancing and closure of indoor spaces such as pubs - is likely to be required in conjunction with automated approaches.

Physics - Computer Science - 17.08.2020
AI automatic tuning delivers step forward in Quantum computing | University of Oxford
Researchers at Oxford University, in collaboration with DeepMind, University of Basel and Lancaster University, have created a machine learning algorithm that interfaces with a quantum device and 'tunes' it faster than human experts, without any human input. They are dubbing it 'Minecraft explorer for quantum devices'.
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