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Categories: Computer Science: General

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Computer Science: Artificial Intelligence (AI) Computer Science: General
Published

AI can speed design of health software      (via sciencedaily.com)     Original source 

Artificial intelligence helped clinicians to accelerate the design of diabetes prevention software, a new study finds.

Computer Science: General
Published

Can you tell AI-generated people from real ones?      (via sciencedaily.com)     Original source 

If you recently had trouble figuring out if an image of a person is real or generated through artificial intelligence (AI), you're not alone. A new study found that people had more difficulty than was expected distinguishing who is a real person and who is artificially generated.

Computer Science: General Computer Science: Quantum Computers Physics: General Physics: Quantum Computing Physics: Quantum Physics
Published

Shortcut to Success: Toward fast and robust quantum control through accelerating adiabatic passage      (via sciencedaily.com)     Original source 

Researchers achieved the acceleration of adiabatic evolution of a single spin qubit in gate-defined quantum dots. After the pulse optimization to suppress quasistatic noises, the spin flip fidelity can be as high as 97.5% in GaAs quantum dots. This work may be useful to achieve fast and high-fidelity quantum computing.

Computer Science: General
Published

Software speeds up drug development      (via sciencedaily.com)     Original source 

Sugars cover nearly all proteins present at the surface of the cells in our bodies, forming a shield around the proteins. Thus, these sugars influence how cells interact with their environment including pathogens, playing an important role in medical drug development. GlycoSHIELD, a new computational approach to study the sugar shields of proteins, is resource-reducing, time-efficient and user-friendly.

Computer Science: General Environmental: General Geoscience: Environmental Issues
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Researchers use AI, Google street view to predict household energy costs on large scale      (via sciencedaily.com)     Original source 

An interdisciplinary team of experts has found a way to use artificial intelligence to analyze a household's passive design characteristics and predict its energy expenses with more than 74 percent accuracy. By combining their findings with demographic data including poverty levels, the researchers have created a comprehensive model for predicting energy burden across 1,402 census tracts and nearly 300,000 households in Chicago.

Computer Science: Artificial Intelligence (AI) Computer Science: General Engineering: Robotics Research
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New AI model could streamline operations in a robotic warehouse      (via sciencedaily.com)     Original source 

Researchers applied deep-learning approaches from vehicle routing to streamline planning trajectories for robots in an e-commerce warehouse. Their method breaks the problem down into smaller chunks and then predicts the best chunks to solve with traditional algorithms.

Biology: Microbiology Computer Science: General Environmental: Ecosystems Geoscience: Environmental Issues
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Robots, monitoring and healthy ecosystems could halve pesticide use without hurting productivity      (via sciencedaily.com)     Original source 

Smarter crop farming that combats weeds, insect pests and plant diseases by integrating modern technologies like AI-based monitoring, robotics, and next-generation biotechnology with healthy and resilient agricultural ecosystems.

Computer Science: General Energy: Technology Engineering: Nanotechnology
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Researchers harness 2D magnetic materials for energy-efficient computing      (via sciencedaily.com)     Original source 

Researchers used ultrathin van der Waals materials to create an electron magnet that can be switched at room temperature. This type of magnet could be used to build magnetic processors or memories that would consume far less energy than traditional devices made from silicon.

Computer Science: Artificial Intelligence (AI) Computer Science: General Energy: Technology Engineering: Robotics Research
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Method identified to double computer processing speeds      (via sciencedaily.com)     Original source 

Scientists introduce what they call 'simultaneous and heterogeneous multithreading' or SHMT. This system doubles computer processing speeds with existing hardware by simultaneously using graphics processing units (GPUs), hardware accelerators for artificial intelligence (AI) and machine learning (ML), or digital signal processing units to process information.

Computer Science: General Environmental: General Offbeat: Computers and Math Offbeat: Earth and Climate Offbeat: General
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Science fiction meets reality: New technique to overcome obstructed views      (via sciencedaily.com)     Original source 

Using a single photograph, researchers created an algorithm that computes highly accurate, full-color three-dimensional reconstructions of areas behind obstacles -- a concept that can not only help prevent car crashes, but help law enforcement experts in hostage situations, search-and-rescue and strategic military efforts.

Computer Science: General Computer Science: Virtual Reality (VR) Mathematics: Modeling Physics: General
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Plasma scientists develop computer programs that could reduce the cost of microchips and stimulate American manufacturing      (via sciencedaily.com)     Original source 

Fashioned from the same element found in sand and covered by intricate patterns, microchips power smartphones, augment appliances and aid the operation of cars and airplanes. Now, scientists are developing computer simulation codes that will outperform current simulation techniques and aid the production of microchips using plasma, the electrically charged state of matter also used in fusion research. These codes could help increase the efficiency of the manufacturing process and potentially stimulate the renaissance of the chip industry in the United States.

Computer Science: General
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Researchers develop AI that can understand light in photographs      (via sciencedaily.com)     Original source 

Despite significant progress in developing AI systems that can understand the physical world like humans do, researchers have struggled with modelling a certain aspect of our visual system: the perception of light.

Computer Science: General Energy: Technology Engineering: Nanotechnology Mathematics: General Mathematics: Modeling Offbeat: Computers and Math Offbeat: General Physics: Optics
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New chip opens door to AI computing at light speed      (via sciencedaily.com)     Original source 

Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.

Computer Science: Encryption Computer Science: General Computer Science: Quantum Computers
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A new design for quantum computers      (via sciencedaily.com)     Original source 

Creating a quantum computer powerful enough to tackle problems we cannot solve with current computers remains a big challenge for quantum physicists. A well-functioning quantum simulator -- a specific type of quantum computer -- could lead to new discoveries about how the world works at the smallest scales. Quantum scientists have developed a guide on how to upgrade these machines so that they can simulate even more complex quantum systems.

Computer Science: General Energy: Technology
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'Scientists' warning' on climate and technology      (via sciencedaily.com)     Original source 

Throughout human history, technologies have been used to make peoples' lives richer and more comfortable, but they have also contributed to a global crisis threatening Earth's climate, ecosystems and even our own survival. Researchers have suggested that industrial civilization's best way forward may entail embracing further technological advancements but doing so with greater awareness of their potential drawbacks.

Computer Science: General
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Artificial intelligence: Aim policies at 'hardware' to ensure AI safety, say experts      (via sciencedaily.com)     Original source 

Chips and datacentres -- the 'compute' power driving the AI revolution -- may be the most effective targets for risk-reducing AI policies as they have to be physically possessed, according to a new report.

Computer Science: General Computer Science: Quantum Computers Physics: Acoustics and Ultrasound Physics: General Physics: Quantum Computing Physics: Quantum Physics
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Fundamental equation for superconducting quantum bits revised      (via sciencedaily.com)     Original source 

Physicists have uncovered that Josephson tunnel junctions -- the fundamental building blocks of superconducting quantum computers -- are more complex than previously thought. Just like overtones in a musical instrument, harmonics are superimposed on the fundamental mode. As a consequence, corrections may lead to quantum bits that are 2 to 7 times more stable. The researchers support their findings with experimental evidence from multiple laboratories across the globe.

Computer Science: General
Published

Widespread machine learning methods behind 'link prediction' are performing very poorly      (via sciencedaily.com)     Original source 

New research establishes that the metric used to measure link prediction performance is missing crucial information, and link prediction tasks are performing significantly worse than popular literature indicates.

Computer Science: Artificial Intelligence (AI) Computer Science: General Computer Science: Virtual Reality (VR) Mathematics: Modeling
Published

Innovations in depth from focus/defocus pave the way to more capable computer vision systems      (via sciencedaily.com)     Original source 

In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, model-based methods fail when texture-less surfaces are present, and learning-based methods require the same camera settings during training and testing. Now, researchers have come up with an innovative strategy for depth estimation that combines the best of both the worlds to solve these limitations, extending the applicability of depth from focus/defocus.