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Categories: Computer Science: General, Mathematics: Modeling
Published Use it or lose it: New robotic system assesses mobility after stroke
(via sciencedaily.com) Original source Stroke is a leading cause of long-term disability worldwide. Each year more than 15 million people worldwide have strokes, and three-quarters of stroke survivors will experience impairment, weakness and paralysis in their arms and hands. Many stroke survivors rely on their stronger arm to complete daily tasks, from carrying groceries to combing their hair, even when the weaker arm has the potential to improve.
Published This 3D printer can watch itself fabricate objects
(via sciencedaily.com) Original source Engineers have developed a high-throughput, multimaterial 3D inkjet printer that uses computer vision to rapidly and automatically control the amount of material being deposited during the printing process in real time. This enables the use of a wide range of materials for fabrication.
Published New twist on AI makes the most of sparse sensor data
(via sciencedaily.com) Original source An innovative approach to artificial intelligence (AI) enables reconstructing a broad field of data, such as overall ocean temperature, from a small number of field-deployable sensors using low-powered 'edge' computing, with broad applications across industry, science and medicine.
Published Twisted magnets make brain-inspired computing more adaptable
(via sciencedaily.com) Original source Researchers used chiral (twisted) magnets as their computational medium and found that, by applying an external magnetic field and changing temperature, the physical properties of these materials could be adapted to suit different machine-learning tasks.
Published quantum mechanics: Unlocking the secrets of spin with high-harmonic probes
(via sciencedaily.com) Original source Deep within every piece of magnetic material, electrons dance to the invisible tune of quantum mechanics. Their spins, akin to tiny atomic tops, dictate the magnetic behavior of the material they inhabit. This microscopic ballet is the cornerstone of magnetic phenomena, and it's these spins that a team of researchers has learned to control with remarkable precision, potentially redefining the future of electronics and data storage.
Published How to use AI for discovery -- without leading science astray
(via sciencedaily.com) Original source In the same way that chatbots sometimes 'hallucinate,' or make things up, machine learning models designed for scientific applications can sometimes present misleading or downright false results. Researchers now present a new statistical technique for safely using AI predictions to test scientific hypotheses.
Published Scientists use quantum biology, AI to sharpen genome editing tool
(via sciencedaily.com) Original source Scientists used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Published Engineers are on a failure-finding mission
(via sciencedaily.com) Original source Engineers developed a technique to quickly identify a range of potential failures in a system before they are deployed in the real world.
Published How human faces can teach androids to smile
(via sciencedaily.com) Original source A research team used 125 physical markers to understand the detailed mechanics of 44 different human facial motions. The aim was to better understand how to convey emotions with artificial faces. Beyond helping with the design of robots and androids, this research can also benefit computer graphics, facial recognition, and medical diagnoses.
Published Neuromorphic computing will be great... if hardware can handle the workload
(via sciencedaily.com) Original source Scientists believe they may have discovered a way to rework the hardware of AI. By mimicking the synapses of the human brain.
Published Researchers develop solid-state thermal transistor for better heat management
(via sciencedaily.com) Original source A team of researchers has unveiled a first-of-its-kind stable and fully solid-state thermal transistor that uses an electric field to control a semiconductor device's heat movement. The group's study details how the device works and its potential applications. With top speed and performance, the transistor could open new frontiers in heat management of computer chips through an atomic-level design and molecular engineering. The advance could also further the understanding of how heat is regulated in the human body.
Published AI trained to identify least green homes
(via sciencedaily.com) Original source First of its kind AI-model can help policy-makers efficiently identify and prioritize houses for retrofitting and other decarbonizing measures.
Published Learning to forget -- a weapon in the arsenal against harmful AI
(via sciencedaily.com) Original source With the AI summit well underway, researchers are keen to raise the very real problem associated with the technology -- teaching it how to forget.
Published AI should be better understood and managed -- new research warns
(via sciencedaily.com) Original source Artificial Intelligence (AI) and algorithms can and are being used to radicalize, polarize, and spread racism and political instability, says an academic. An expert argues that AI and algorithms are not just tools deployed by national security agencies to prevent malicious activity online, but can be contributors to polarization, radicalism and political violence -- posing a threat to national security.
Published New twist on optical tweezers
(via sciencedaily.com) Original source Optical tweezers use laser light to manipulate small particles. A new method has been advanced using Stampede2 supercomputer simulations that makes optical tweezers safer to use for potential biological applications, such as cancer therapy.
Published New techniques efficiently accelerate sparse tensors for massive AI models
(via sciencedaily.com) Original source New computational techniques, 'HighLight' and 'Tailors and Swiftiles,' could dramatically boost the speed and performance of high-performance computing applications like graph analytics or generative AI. The work, from MIT and NIVIDIA, aims to accelerate sparse tensors for AI models by introducing more efficient and flexible ways to take advantage of sparsity.
Published Late not great -- imperfect timekeeping places significant limit on quantum computers
(via sciencedaily.com) Original source Quantum physicists show that imperfect timekeeping places a fundamental limit to quantum computers and their applications. The team claims that even tiny timing errors add up to place a significant impact on any large-scale algorithm, posing another problem that must eventually be solved if quantum computers are to fulfill the lofty aspirations that society has for them.
Published Accelerating AI tasks while preserving data security
(via sciencedaily.com) Original source SecureLoop is a new search engine that can identify an optimal design for a deep neural network accelerator that preserves data security while improving energy efficiency and boosting performance. This could enable device manufacturers to increase the speed of demanding AI applications, while ensuring sensitive data remain safe from attackers.
Published The brain may learn about the world the same way some computational models do
(via sciencedaily.com) Original source New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.
Published AI can alert urban planners and policymakers to cities' decay
(via sciencedaily.com) Original source As urbanization advances around the globe, the quality of the urban physical environment will become increasingly critical to human well-being and to sustainable development initiatives. However, measuring and tracking the quality of an urban environment, its evolution and its spatial disparities is difficult due to the amount of on-the-ground data needed to capture these patterns.