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Categories: Computer Science: Artificial Intelligence (AI), Mathematics: Modeling
Published A genetic algorithm for phononic crystals
(via sciencedaily.com) Original source Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of next-generation sensors and computer devices.
Published Machine learning could aid efforts to answer long-standing astrophysical questions
(via sciencedaily.com) Original source Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Published Moving beyond the 80-year-old solar cell equation
(via sciencedaily.com) Original source Physicists have made a significant breakthrough in solar cell technology by developing a new analytical model that improves the understanding and efficiency of thin-film photovoltaic (PV) devices.
Published New and improved camera inspired by the human eye
(via sciencedaily.com) Original source Computer scientists have invented a camera mechanism that improves how robots see and react to the world around them. Inspired by how the human eye works, their innovative camera system mimics the tiny involuntary movements used by the eye to maintain clear and stable vision over time.
Published AI model finds the cancer clues at lightning speed
(via sciencedaily.com) Original source AI model finds the cancer clues at lightning speed. Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses. The AI model is faster and better at finding abnormalities than the current semi-manual method.
Published Can A.I. tell you if you have osteoporosis? Newly developed deep learning model shows promise
(via sciencedaily.com) Original source Researchers have developed a novel deep learning algorithm that outperformed existing computer-based osteoporosis risk prediction methods, potentially leading to earlier diagnoses and better outcomes for patients with osteoporosis risk.
Published Study reveals why AI models that analyze medical images can be biased
(via sciencedaily.com) Original source Researchers have found that artificial intelligence models that are most accurate at predicting race and gender from X-ray images also show the biggest 'fairness gaps' -- that is, discrepancies in their ability to accurately diagnose images of people of different races or genders.
Published Light-controlled artificial maple seeds could monitor the environment even in hard-to-reach locations
(via sciencedaily.com) Original source Researchers have developed a tiny robot replicating the aerial dance of falling maple seeds. In the future, this robot could be used for real-time environmental monitoring or delivery of small samples even in inaccessible terrain such as deserts, mountains or cliffs, or the open sea. This technology could be a game changer for fields such as search-and-rescue, endangered species studies, or infrastructure monitoring.
Published New deep-learning model outperforms Google AI system in predicting peptide structures
(via sciencedaily.com) Original source Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar biological functions. Peptides are known to be highly flexible, taking on a wide range of folding patterns, and are thus involved in many biological processes of interest to researchers in the development of therapeutics.
Published Researchers develop new training technique that aims to make AI systems less socially biased
(via sciencedaily.com) Original source Researchers have created a new, cost-effective training technique for artificial intelligence systems that aims to make them less socially biased.
Published Next platform for brain-inspired computing
(via sciencedaily.com) Original source Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.
Published Robots face the future
(via sciencedaily.com) Original source Researchers have found a way to bind engineered skin tissue to the complex forms of humanoid robots. This brings with it potential benefits to robotic platforms such as increased mobility, self-healing abilities, embedded sensing capabilities and an increasingly lifelike appearance. Taking inspiration from human skin ligaments, the team included special perforations in a robot face, which helped a layer of skin take hold.
Published Meet CARMEN, a robot that helps people with mild cognitive impairment
(via sciencedaily.com) Original source Meet CARMEN, short for Cognitively Assistive Robot for Motivation and Neurorehabilitation -- a small, tabletop robot designed to help people with mild cognitive impairment (MCI) learn skills to improve memory, attention, and executive functioning at home.
Published Prying open the AI black box
(via sciencedaily.com) Original source Meet SQUID, a new computational tool. Compared with other genomic AI models, SQUID is more consistent, reduces background noise, and can yield better predictions regarding critical mutations. The new system aims to bring scientists closer to their findings' true medical implications.
Published Unifying behavioral analysis through animal foundation models
(via sciencedaily.com) Original source Behavioral analysis can provide a lot of information about the health status or motivations of a living being. A new technology makes it possible for a single deep learning model to detect animal motion across many species and environments. This 'foundational model', called SuperAnimal, can be used for animal conservation, biomedicine, and neuroscience research.
Published Can AI learn like us?
(via sciencedaily.com) Original source Scientists have developed a new, more energy-efficient way for AI algorithms to process data. His model may become the basis for a new generation of AI that learns like we do. Notably, these findings may also lend support to neuroscience theories surrounding memory's role in learning.
Published Researchers teach AI to spot what you're sketching
(via sciencedaily.com) Original source A new way to teach artificial intelligence (AI) to understand human line drawings -- even from non-artists -- has been developed.
Published Simplicity versus adaptability: Understanding the balance between habitual and goal-directed behaviors
(via sciencedaily.com) Original source Scientists have proposed a new AI method in which systems of habitual and goal-directed behaviors learn to help each other. Through computer simulations that mimicked the exploration of a maze, the method quickly adapts to changing environments and also reproduced the behavior of humans and animals after they had been accustomed to a certain environment for a long time. The study not only paves the way for the development of systems that adapt quickly and reliably in the burgeoning field of AI, but also provides clues to how we make decisions in the fields of neuroscience and psychology.
Published Custom-made molecules designed to be invisible while absorbing near-infrared light
(via sciencedaily.com) Original source Researchers used theoretical calculations assessing electron orbital symmetry to synthesize new molecule designed to be both transparent and colorless while absorbing near-infrared light. This compound demonstrates the first systematic approach to producing such materials and have applications in advanced electronics. This compound also shows semiconducting properties.
Published AI recognizes athletes' emotions
(via sciencedaily.com) Original source Using computer-assisted neural networks, researchers have been able to accurately identify affective states from the body language of tennis players during games. For the first time, they trained a model based on artificial intelligence (AI) with data from actual games. Their study demonstrates that AI can assess body language and emotions with accuracy similar to that of humans. However, it also points to ethical concerns.