查看更多>>摘要：The following quote was obtained by the news editors from the background information supplied bythe inventors: “A non-fungible token (NFT) is a non-interchangeable unit of data stored on a blockchain and that can be sold and traded. An NFT may be associated with content, such as movies, photos,videos, audio, text, art, and/or the like. A fractional NFT (f-NFT) is a whole NFT that has been dividedinto smaller fractions, allowing several different entities (e.g., businesses, organizations, agencies, firms,and/or the like) and/or people to claim ownership of a piece of the same NFT. The NFT is fractionalizedusing a smart contract that generates a set number of tokens linked to the indivisible original NFT. Thesefractional tokens give each holder a percentage of ownership of an NFT, and can be traded or exchangedon secondary markets.”
查看更多>>摘要：News editors obtained the following quote from the background information supplied by the inventors:“Technical Field“The present disclosure relates to a glass and wafer inspection system, and more particularly the presentdisclosure relates to a camera-based inspection system and a method for inspecting film deposition processfor glass and wafers.“Description of Related Technology“Glasses and wafers referred to hereinafter as a substrate, are coated with a variety of coatings toenhance their mechanical, chemical, optical, electric, magnetic, or other properties. Typically, one ormore thin films are deposited on the substrate by one of several known processes, such as chemical vapordeposition (CVD) which is a common process for depositing thin films on substrates.”
查看更多>>摘要：News editors obtained the following quote from the background information supplied by the inventors:“Organisations are increasingly recognising the importance of measuring, monitoring and managing the physical, social, mental, and emotional wellbeing of individuals within their organisation, for example,students within educational institutions, employees within workplaces, athletes within sports clubs, etc.
查看更多>>摘要：“The large dimension of the Hi-C-derived chromosomal contact map, even for a bacterial cell, presentschallenges in extracting meaningful information related to its complex organization.“Here we first demonstrate that a machine-learnt (ML) low-dimensional embedding of a recently reportedHi-C interaction map of archetypal bacteria E. Coli can decode crucial underlying structural pattern.“In particular, a three-dimensional latent space representation of (928 x 928) dimensional Hi-C map, derivedfrom an unsupervised artificial neural network, automatically detects a set of spatially distinct domainsthat show close correspondences with six macro-domains (MDs) that were earlier proposed across E. Coligenome via recombination assay-based experiments. Subsequently, we develop a supervised random-forestregression model by machine-learning intricate relationship between large array of Hi-C-derived chromosomalcontact probabilities and diffusive dynamics of each individual chromosomal gene. The resultant MLmodel dictates that a minimal subset of important chromosomal contact pairs (only 30 %) out of full Hi-Cmap is sufficient for optimal reconstruction of the heterogenous, coordinate-dependent sub-diffusive motionsof chromosomal loci. Specifically the Ori MD was predicted to exhibit most substantial contributionin chromosomal dynamics among all MDs. Finally, the ML models, trained on wild-type E. Coli was testedfor its predictive capabilities on mutant bacterial strains, shedding light on the structural and dynamicnuances of deltaMatP30MM and deltaMukBEF22MM chromosomes. Overall our results illuminate thepower of ML techniques in unraveling the complex relationship between structure and dynamics of bacterialchromosomal loci, promising meaningful connections between our ML-derived insights and real-worldbiological phenomena.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from osf.io:“Conversation entails a tight coordination between the interlocutors in terms of co-representation andlinguistic alignment (e.g., word choices). “In this study we investigated whether people conceptually align in a language task with a robot.24 French native speakers alternated with an artificial partner in naming images of objects belongingto different semantic categories (e.g., mammals, clothes...). For five out of fifteen categories the robotproduced the item’s category instead of the preferred basic-level name. Logistic regression models onparticipants’ errors revealed that they adapted to the robot’s conceptual choices, and produced morecategory names over the course of the experiment.
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