查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Montr eal, Canada, by NewsRx correspondents, research stated, “The potential of artifi cial intelligence (AI) in medicine lies in its ability to enhance clinicians’ ca pacity to analyze medical images, thereby improving diagnostic precision and acc uracy, thus enhancing current tests. However, the integration of AI within healt hcare is fraught with difficulties.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cancer is the subject of a report. According to news reporting originating in Cambridge, United Kingdo m, by NewsRx journalists, research stated, “Cancer, a collection of more than tw o hundred different diseases, remains a leading cause of morbidity and mortality worldwide. Usually detected at the advanced stages of disease, metastatic cance r accounts for 90% of cancer-associated deaths.” Financial support for this research came from Medical Research Council.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting originating in Xi’an, People’s Republic of C hina, by NewsRx journalists, research stated, “Industrial measurements increasin gly employ a redundant robotic system with an external turntable due to its effi ciency, flexibility, and automation advantages. However, the actual viewpoint po se reached by the robotic system deviates from its simulated design pose due to orientation errors, resulting in poor measurement quality of complex surfaces.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Vancouver, Can ada, by NewsRx correspondents, research stated, “Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to confu se the model into making a mistake. Such examples pose a serious threat to the a pplicability of machine learning-based systems, especially in life- and safety-c ritical domains.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from West Lafayette, Indiana, by NewsRx co rrespondents, research stated, “Accurately measuring and understanding affective loads, such as cognitive and emotional loads, is crucial in the field of human- robot interaction (HRI) research. Although established assessment tools exist fo r gauging working memory capability in psychology and cognitive neuroscience, fe w tools are available to specifically measure affective loads.” Financial support for this research came from National Science Foundation (NSF).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Notre Dame, Indiana, b y NewsRx journalists, research stated, “Fairness measurement is crucial for asse ssing algorithmic bias in various types of machine learning (ML) models, includi ng ones used for search relevance, recommendation, personalization, talent analy tics, and natural language processing. However, the fairness measurement paradig m is currently dominated by fairness metrics that examine disparities in allocat ion and/or prediction error as univariate key performance indicators (KPIs) for a protected attribute or group.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on robotics have been published. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “In this article, to further improve the accuracy and speed of grasp detection for unknown object s, a new omni-dimensional dynamic convolution grasp detection network (ODGNet) i s proposed.” Financial supporters for this research include National Key Research And Develop ment Program of China: Design And Development of High Performance Marine Electri c Field Sensor.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news originating from Haikou, People’s Republic of China, by NewsR x correspondents, research stated, “The challenge we face is striking a balance between ensuring the standards for wastewater treatment processes and minimizing energy consumption. As such, accurate predictive models become critical.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foun-dation of Hainan Province, Key Research and Development Project of Hainan Province.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Lieusaint, Fran ce, by NewsRx editors, research stated, “To assess the accuracy of an artificial intelligence (AI) software (BoneMetrics, Gleamer) in performing automated measu rements on weight-bearing forefoot and lateral foot radiographs. Consecutive for efoot and lateral foot radiographs were retrospectively collected from three ima ging institutions.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting originating in Zhejiang, People’s Republic of China, by NewsRx journalists, research stated, “In the artificial intelligen ce age, cultivating young children’s computational thinking (CT) has sparked tre mendous attention. Programmable robotics is a developmental-appropriate and scre en-free means that provides young children with great opportunities to learn pro gramming and develop CT.” Financial support for this research came from The 2023 College Students’ Science and Technology Innovation Program (New Seedling Talents Plan) of Zhejiang Provi nce, China.
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