查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - The iridescent colors known from peaco ck feathers or butterfly wings are created bytiny structures that reflect light in a special way. Some bacterial colonies form similar glittering structures.I n collaboration with the Max Planck Institute of Colloids and Interfaces, Leibni z Institute DSMZGermanCollection of Microorganisms and Cell Cultures, Utrecht University, University of Cambridge, andthe Netherlands Institute for Sea Resea rch, the scientists sequenced the DNA of 87 structurally coloredbacteria and 30 colorless strains and identified genes that are responsible for these fascinati ng colonies.These findings could lead to the development of environmentally fri endly dyes and materials, a key interestof the collaborating biotechnology comp any Hoekmine BV.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news originatingfrom Shaanxi, People’s Republic of China, by NewsRx correspondents, research stated, “Detection ofkiwifruit bruis ing time is one of the essential indicators for reducing postharvest losses and assessing internalquality. To investigate if the bruised time of kiwifruit coul d be non-destructively detected, hyperspectralimaging (HSI) technology was used to acquire hyperspectral images of kiwifruit from two different varietiesat va rious bruising time. 70 kiwifruit samples from each of the two varieties were in cluded in the study,with a total of 490 (7 x 70) hyperspectral images collected for each variety across seven bruising time.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news originating from Jinan,People’s Republic of China, by NewsRx correspondents, research stated, “Legged robots must contend withchalle nges like load fluctuations, external forces, and modeling errors in their worki ng environment, all ofwhich can lead to inaccuracies in the model predictive co ntrol (MPC) state mapping equation. Neglectingthese issues can result in deviat ion from the predefined trajectory, and even instability.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Machine Learning have be en published. According to news reporting originatingfrom Beijing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Vegetationfires hav e major impacts on the ecosystem and present a significant threat to human life. Vegetation firesconsists of forest fires, cropland fires, and other vegetation fires in this study.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsreporting out of Lahore, Pakistan, by NewsRx editors, research stated, “The precise prediction of energyconsumption i s crucial for businesses, companies, and households especially when it comes to planningenergy purchases.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news originating fromZibo, People’s Republic of China, by NewsRx correspondents, research stated, “With the rapid advancementof modern hardware technology, breakthroughs have been made in many areas of artif icial intelligenceresearch, leading to the direction of machine replacement or assistance in various fields. However, mostartificial intelligence or deep lear ning techniques require large amounts of training data and are typicallyapplica ble to a single task objective.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of Dongying, Peopl e’s Republic of China, by NewsRx editors, research stated, “Research ongastroin testinal mucosal adenocarcinoma (GMA) is limited and controversial, and there is no referencetool for predicting postoperative survival. To investigate the pro gnosis of GMA and develop predictivemodel.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning - Pattern Recognition andArtificial Intelligence. According to n ews reporting from Shijiazhuang, People’s Republic of China, byNewsRx journalis ts, research stated, “As a natural, intuitive and easy-to-learn mode of interact ion,gesture plays an important role in communication. Hand detection, containin g multimodal information,includes static and dynamic detection and involves int ricate spatial relationship problems such as differenthand sizes, complex joint s, occlusion and self-occlusion.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in . According to new s originating from Urumqi, People’s Republic ofChina, by NewsRx correspondents, research stated, “The permeability coefficient of landslide mass, a keyparamet er in the study of reservoir landslides, is commonly obtained through in situ an d laboratory tests;however, the tests are costly and subject to high variabilit y, leading to potential biases. In this paper,a new method was proposed to inve rsely estimate the permeability coefficient of landslide layers usingmonitoring data of groundwater level (GWL).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingfrom Chengdu, People’s Republic of C hina, by NewsRx journalists, research stated, “The implementationof machine lea rning (ML) in Internet of Things (IoT) devices poses significant operational cha llengesdue to limited energy and computation resources. In recent years, signif icant efforts have been made toimplement simplified ML models that can achieve reasonable performance while reducing computation andenergy, for example by pru ning weights in neural networks, or using reduced precision for the parametersa nd arithmetic operations.”
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