English
Arabic
Chinese (Simplified)
Dutch
Esperanto
French
German
Greek
Italian
Japanese
Korean
Portuguese
Russian
Spanish
UrduThe new type of neural network could aid decision making in autonomous driving and medical diagnosis.
Tag: THEORY/DESIGN
Bentham Science launches new journal, ‘The Chinese Journal of Artificial Intelligence’
Bentham Science is pleased to announce the launch of new subscription-based journal, The Chinese Journal of Artificial Intelligence . The first issue of the journal will be available online by the start of the year, 2021. Dr. Dunwei Gong is…
Designing customized “brains” for robots
A new system devises hardware architectures to hasten robots’ response time
2020 ACM Fellows recognized for work that underpins contemporary computing
International group composed of leaders across all of computing’s disciplines
Harnessing the power of crowd-driven artificial intelligence
The European Research Council (ERC) will fund the development of an innovative platform incorporating the IIASA crowdsourcing game Picture Pile. IIASA Strategic Initiatives Program Director Steffen Fritz will lead the project. Rapid advances in computing power, the availability of big…
Using artificial intelligence to find new uses for existing medications
Scientists crunch data to “screen” candidates for drug repurposing
How to harness artificial intelligence to boost business and make our world more human
Welcome to the World of Hyperautomation
Industry collaboration leads to important milestone in the creation of a quantum computer
Quantum computer: One of the obstacles for progress in the quest for a working quantum computer has been that the working devices that go into a quantum computer and perform the actual calculations, the qubits, have hitherto been made by…
Artificial Intelligence that can run a simulation faithful to physical laws
Replicating energy conservation and dissipation using digital analysis
Researchers reveal link between cryptocurrency coding and market behavior
City, University of London’s Dr Andrea Baronchelli and colleagues challenge the ‘code is law’ principle which grants transparency to currencies created by cryptographic algorithms
Big data and AI to unlock energy savings and help UK achieve its net zero ambitions
Lancaster University researchers will lead on the development of a new arsenal of artificial intelligence and data science tools that will unlock massive energy savings and help UK businesses in their goal of achieving net zero
Accurate neural network computer vision without the ‘black box’
Duke team disentangles neural networks to understand how they see the world
New approach can improve COVID-19 predictions worldwide
Methods currently used for predicting the development of COVID-19 and other pandemics fail to report precisely on the best and worst case scenarios. Newly developed prediction method for epidemics, published in Nature Physics, solve this problem
New research fellowship aims to turn ICT sustainability on its head
A Lancaster University computer scientist has been awarded a new fellowship to research an entirely new way of making large-scale computing systems more sustainable
Artificial intelligence sets sights on the sun
Scientists from the University of Graz and the Kanzelhöhe Solar Observatory (Austria) and their colleagues from the Skolkovo Institute of Science and Technology (Skoltech) developed a new method based on deep learning for stable classification and quantification of image quality…
New computational method validates images without ‘ground truth’
WIF helps ensure ‘seeing is believing’ when it comes to the very small
Reactive Video playback that you control with your body
Computer scientists have developed an entirely new way of interacting with video content that adapts to, and is controlled by, your body movement
Bristol researchers publish significant step toward quantum advantage
Optimised quantum algorithms present solution to Fermi-Hubbard model on near-term hardware
Hidden symmetry could be key to more robust quantum systems, researchers find
Researchers have found a way to protect highly fragile quantum systems from noise, which could aid in the design and development of new quantum devices, such as ultra-powerful quantum computers. The researchers, from the University of Cambridge, have shown that…
Aquatic robot inspired by sea creatures walks, rolls, transports cargo
Soft material is powered by light and rotating magnetic fields
The ever-elusive riddle: What’s the best way to cut Christmas cookies?
At some point in life, most people have stood over a rolled-out slab of cookie dough and pondered just how to best cut out cookies with as little waste as possible. Now, even math experts have given up on finding…
AI predicts which drug combinations kill cancer cells
A machine learning model developed in Finland can help us treat cancer more effectively
Shrinking massive neural networks used to model language
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing
The (un)social network: The emergence of digital thought clones and what to do about them
Digital thought clones that prey on and manipulate real-time online behavior can be tackled with tough legislation, say experts
Coaching sales agents? Use AI and human coaches
News from the Journal of Marketing
Scientist who developed quantum computing code wins ORNL’s top science award
Paul Kent, a computational nanoscience researcher in Oak Ridge National Laboratory’s Computing and Computational Science Directorate, received the ORNL Director’s Award for Outstanding Individual Accomplishment in Science and Technology. The award recognizes Kent’s leadership in quantum computing development and application…
A neural network learns when it should not be trusted
A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.
Showing robots how to drive a car…in just a few easy lessons
USC researchers have developed a method that could allow robots to learn new tasks, like setting a table or driving a car, from observing a small number of demonstrations.
Curved origami provides new range of stiffness-to-flexibility in robots
Tempe, AZ, Nov. 18, 2020 – New research that employs curved origami structures has dramatic implications in the development of robotics going forward, providing tunable flexibility – the ability to adjust stiffness based on function – that historically has been…
New understanding of mobility paves way for tomorrow’s transport systems
Researchers at DTU and the University of Copenhagen have developed a ground-breaking model that provides a completely new understanding of our movement patterns
New test reveals AI still lacks common sense
Despite advances in natural language processing, AI still doesn’t have the common sense to understand human language, finds a new USC study.
Palladium, meet copper: Skoltech researchers use machine learning to improve catalysts
Researchers from Skoltech and their colleagues from Germany and the US have studied the properties and behavior of a palladium-copper alloy under changing temperatures and hydrogen concentrations, with highly relevant implications of this research for catalyst design. The paper was…
Manchester group discover new family of quasiparticles in graphene-based materials
Findings to help achieve Holy Grail of 2D materials – superfast electronic devices
System brings deep learning to ‘internet of things’ devices
Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency
Ultracompact metalens microscopy breaks FOV constraints
Wide-field microscope imaging with large FOV and high resolution is achieved via ultracompact metalens array
Drawing the line to answer art’s big questions
KAIST scientists show how statistical physics can reveal art trends across time and culture
New approach to circuit compression could deliver real-world quantum computers years ahead of schedule
A major technical challenge for any practical, real-world quantum computer comes from the need for a large number of physical qubits to deal with errors that accumulate during computation. Such quantum error correction is resource-intensive and computationally time-consuming. But researchers…
Identifying the microscopic mechanism of vibrational energy harvesters
Familiarity with self-power generation devices
Robotic AI learns to be spontaneous
Researchers use dynamical systems and machine learning to add spontaneity to AI
Stanford-led team creates a computer model that can predict how COVID-19 spreads in cities
A study of how 98 million Americans move around each day suggests that most infections occur at “superspreader” sites, and details how mobility patterns help drive higher infection rates among minority and low-income populations.
Keep the data coming
A pre-emptive memory management system developed by KAUST researchers can speed up data-intensive simulations by 2.5 times by eliminating delays due to slow data delivery. The development elegantly and transparently addresses one of the most stubborn bottlenecks in modern supercomputing–delivering…
Tiny device enables new record in super-fast quantum light detection
Researchers have developed a tiny device that paves the way for higher performance quantum computers and quantum communications, making them significantly faster than the current state-of-the-art.
Know when to unfold ’em: Applying particle physics methods to quantum computing
‘Unfolding’ techniques used to improve the accuracy of particle detector data can also improve the readout of quantum states from a quantum computer
Artificial Intelligence has learned to estimate oil viscosity
A group of Skoltech scientists developed machine learning (ML) algorithms that can teach artificial intelligence (AI) to determine oil viscosity based on nuclear magnetic resonance (NMR) data. The new method can come in handy for the petroleum industry and other…
Researchers develop a high-power, portable terahertz laser
The development could bring powerful sensing and imaging capabilities out of the lab and into hospitals, airports, or other settings
Tunable THz radiation from 3D topological insulator
Bismuth telluride can efficiently radiate linearly and circularly polarized terahertz waves, with adjustable chirality and polarization
Machine learning helps pinpoint sources of the most common cardiac arrhythmia
Researchers from Skoltech and their US colleagues have designed a new machine learning-based approach for detecting atrial fibrillation drivers, small patches of the heart muscle that are hypothesized to cause this most common type of cardiac arrhythmia. This approach may…
Researchers take a stand on algorithm design for job centers: Landing a job isn’t always the right goal
Imagine that you are a job consultant. You are sitting across from your client, an unemployed individual. After locating them in the system, up pops the following text on the computer screen; ‘increased risk of long-term unemployment’. Such assessments are…
Research lowers errors for using brain signals to control a robot arm
By measuring brain signals and implementing a clever feedback scheme, researchers from India and the UK have reduced the positional error in brain-controlled robot arms by a factor of 10, paving the way to greatly enhancing the quality of life…
Precaution: Lessons from COVID-19
Which is more important in the initial phase of a pandemic: taking precautionary actions or responding to its severity? That is the question that researchers from the Singapore University of Technology and Design (SUTD) set out to address in an article published in BioEssays.