Experts alone can’t handle AI: Social scientists explain why the public needs a seat at the table
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Are democratic societies ready for a future in which AI algorithmically assigns limited supplies of respirators or hospital beds during pandemics? Or one in which AI fuels an arms race between disinformation creation and detection? Or sways court decisions with amicus briefs written to mimic the rhetorical and argumentative styles of Supreme Court justices?Are democratic societies ready for a future in which AI algorithmically assigns limited supplies of respirators or hospital beds during pandemics? Or one in which AI fuels an arms race between disinformation creation and detection? Or sways court decisions with amicus briefs written to mimic the rhetorical and argumentative styles of Supreme Court justices?Consumer & Gadgets[#item_full_content]

Active label distribution learning via kernel maximum mean discrepancy
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Label distribution learning (LDL) is a new learning paradigm to deal with label ambiguity. Compared with traditional supervised learning scenarios, annotation with label distribution is more expensive. Direct use of existing active learning (AL) approaches, which aim to reduce the annotation cost in traditional learning, may lead to the degradation of their performance.Label distribution learning (LDL) is a new learning paradigm to deal with label ambiguity. Compared with traditional supervised learning scenarios, annotation with label distribution is more expensive. Direct use of existing active learning (AL) approaches, which aim to reduce the annotation cost in traditional learning, may lead to the degradation of their performance.Computer Sciences[#item_full_content]

Scales and self-checkouts to identify weighted goods faster
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A research team from Skoltech and other institutions have pioneered a new fast way to distinguish weighted goods at a supermarket. Unlike existing systems, the algorithm will make neural network training faster when new types of produce arrive. The paper is published in the IEEE Access journal.A research team from Skoltech and other institutions have pioneered a new fast way to distinguish weighted goods at a supermarket. Unlike existing systems, the algorithm will make neural network training faster when new types of produce arrive. The paper is published in the IEEE Access journal.Computer Sciences[#item_full_content]

Scientists teach a neural network to recognize PC users’ fatigue
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A research team consisting of scientists from St Petersburg University, St Petersburg Federal Research Center of the Russian Academy of Sciences and some other organizations have created a database of eye movement strategies of operators monitoring objects on a PC screen in various states (tired/alert).A research team consisting of scientists from St Petersburg University, St Petersburg Federal Research Center of the Russian Academy of Sciences and some other organizations have created a database of eye movement strategies of operators monitoring objects on a PC screen in various states (tired/alert).Machine learning & AI[#item_full_content]

Google turns 25: The search engine revolutionized how we access information, but will it survive AI?
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Today marks an important milestone in the history of the internet: Google’s 25th birthday. With billions of search queries submitted each day, it’s difficult to remember how we ever lived without the search engine.Today marks an important milestone in the history of the internet: Google’s 25th birthday. With billions of search queries submitted each day, it’s difficult to remember how we ever lived without the search engine.Internet[#item_full_content]

AI systems have learned how to deceive humans. What does that mean for our future?
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Artificial intelligence pioneer Geoffrey Hinton made headlines earlier this year when he raised concerns about the capabilities of AI systems. Speaking to CNN journalist Jake Tapper, Hinton said:Artificial intelligence pioneer Geoffrey Hinton made headlines earlier this year when he raised concerns about the capabilities of AI systems. Speaking to CNN journalist Jake Tapper, Hinton said:Computer Sciences[#item_full_content]

Diffractive optical network enables multispectral quantitative phase imaging in a snapshot
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Quantitative Phase Imaging (QPI) is a label-free imaging technique that leverages the optical path length information in transparent samples to evaluate their refractive index distribution and thickness variations. Multispectral QPI systems extend this principle, capturing multiple phase images across various spectral bands of interest. This functionality enables the study of spatial refractive index variations and dispersion characteristics of transparent samples such as cells.Quantitative Phase Imaging (QPI) is a label-free imaging technique that leverages the optical path length information in transparent samples to evaluate their refractive index distribution and thickness variations. Multispectral QPI systems extend this principle, capturing multiple phase images across various spectral bands of interest. This functionality enables the study of spatial refractive index variations and dispersion characteristics of transparent samples such as cells.Engineering[#item_full_content]

Brain-inspired learning algorithm realizes metaplasticity in artificial and spiking neural networks
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Catastrophic forgetting, an innate issue with backpropagation learning algorithms, is a challenging problem in artificial and spiking neural network (ANN and SNN) research.Catastrophic forgetting, an innate issue with backpropagation learning algorithms, is a challenging problem in artificial and spiking neural network (ANN and SNN) research.Machine learning & AI[#item_full_content]

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