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    Reports Outline Machine Learning Study Results from Shandong Jianzhu University (Optimization and Prediction of Energy Consumption, Light and Thermal Comfort In Teaching Building Atriums Using Nsga-ii and Machine Learning)

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Jinan, People’ s Republic of China, by NewsRx journalists, research stated, “The efficient util ization of atriums in teaching buildings becomes increasingly vital for the mult ifunctional integration of teaching spaces. However, effectively balancing light and thermal comfort of atriums while ensuring energy efficiency remains a press ing issue, particularly in cold regions with significant climatic variations.” Financial supporters for this research include Key Research and Development Proj ects of Ministry of Housing and Urban-Rural Development of the People’s Republic of China, Natural Science Foundation of Shandong Province.

    Findings on Machine Learning Discussed by Investigators at University of Bonn (G amma-convergence of a Nonlocal Perimeter Arising In Adversarial Machine Learning )

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Bonn, Germany, by New sRx editors, research stated, “In this paper we prove Gammaconvergence of a non local perimeter of Minkowski type to a local anisotropic perimeter. The nonlocal model describes the regularizing effect of adversarial training in binary class ifications.” Financial supporters for this research include German Research Foundation (DFG), German Research Foundation (DFG), Swedish Research Council. Our news journalists obtained a quote from the research from the University of B onn, “The energy essentially depends on the interaction between two distribution s modelling likelihoods for the associated classes. We overcome typical strict r egularity assumptions for the distributions by only assuming that they have boun ded BV densities. In the natural topology coming from compactness, we prove Gamm a-convergence to a weighted perimeter with weight determined by an anisotropic f unction of the two densities. Despite being local, this sharp interface limit re flects classification stability with respect to adversarial perturbations.”

    New Research on Artificial Intelligence from Punjabi University Summarized (Mult imodal biometric authentication: A review)

    21-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting originating from Punjab, India, b y NewsRx correspondents, research stated, “Critical applications ranging from se nsitive military data to restricted area access demand selective user authentica tion.” The news editors obtained a quote from the research from Punjabi University: “Th e prevalent methods of tokens, passwords, and other commonly used techniques pro ved deficient as they can be easily stolen, lost, or broken to gain illegitimate access, leading to data spillage. Since data safety against tricksters is a sig nificant issue nowadays, biometrics is one of the unique human characteristic-ba sed techniques that may give better solutions in this regard. The technique enta ils biometric authentication of users based on an individual’s inimitable physio logical or behavioral characteristics to provide access to a specific applicatio n or data. This paper provides a detailed description of authentication and its approaches, focusing on biometric-based authentication methods, the primary chal lenges they encounter, and how they have been addressed. The tabular view shows the benefits and downsides of various multimodal biometric systems, and open res earch challenges. To put it another way, this article lays out a roadmap for the emergence of multimodal biometric-based authentication, covering both the chall enges and the solutions that have been proposed.”

    Data on Esophagectomy Reported by Xu Zhang and Colleagues (Neoadjuvant chemoimmu notherapy followed by robot esophagectomy has no effect on short-term results co mpared with surgery alone)

    22-23页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Esophagectom y is the subject of a report. According to news reporting out of Langfang, Peopl e’s Republic of China, by NewsRx editors, research stated, “To determine the saf ety and efficacy of robot-assisted minimally invasive esophagectomy (RAMIE) for locally advanced esophageal squamous cell carcinoma (ESCC) after neoadjuvant che moimmunotherapy (NCI). Data from patients who underwent RAMIE between January 20 20 and June 2022 were retrospectively analyzed.” Our news journalists obtained a quote from the research, “The oncological and op erative outcomes of the NCI and surgery-only (S) groups were compared by both un matched and 1:1 propensity score-matched (PSM) analysis. A total of 201 patients with ESCC who underwent three-incision RAMIE were included in this study (143 p atients in the S group and 58 patients in the NCI group). Of the 58 patients who underwent NCI, a pathologically complete response (pCR) (ypT0N0) was identified in 14 (24.1%) patients. The patients in the NCI group were younger than those in the S group (p = 0.017), and had more advanced cT (p <0.001) and cN stage diseases (p = 0.002). After 1:1 PSM of the confounders, 55 patients were allocated to each of the NCI and S groups. No significant differen ces were found in oncological and operative results, including surgical blood lo ss, operative time, and lymph node harvest (all p> 0.05) . However, the NCI group exhibited a lower rate of pulmonary complications than the S group (3.6% vs. 14.5%, p = 0.047). No significa nt difference between the groups was found for other complications (all p> 0.05). These findings indicate that NCI could result in a high pCR rate without increased complications in locally advanced ESCC.”

    Southwest University Reports Findings in Robotics (Multi-scale Feature Adaptive Fusion Model for Real-time Detection In Complex Citrus Orchard Environments)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting originating from Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “A Multi - scale Feature Adapt ive Fusion model (MFAF-YOLO) for real-time detection of citrus harvesting robots in complex field environments is proposed in this study. This proposed model im proves detection accuracy while meeting the lightweight requirements of consumer -level cameras.” Financial supporters for this research include Science Fund for Distinguished Yo ung Scholars of Chongqing Municipality, Shuangcheng cooperative agreement resear ch grant of Yibin, China, Fundamental Research Funds for the Central Universitie s, Chongqing Graduate Student Research Innovation Project.

    South China University of Technology Researcher Describes Research in Machine Le arning (Optimizing the Layout of Service Facilities for Older People Based on PO I Data and Machine Learning: Guangzhou City as an Example)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting originating from Guangzh ou, People’s Republic of China, by NewsRx correspondents, research stated, “Popu lation aging is a global issue. China is facing the same challenge, especially i n its megacities, with more than 10 million permanent urban residents.” Our news correspondents obtained a quote from the research from South China Univ ersity of Technology: “These densely populated cities urgently need the scientif ic planning and optimization of the layout of service facilities for older peopl e. Taking Guangzhou, a megacity in China, as an example, this study uses point-o f-interest (POI) data and the ID3 machine learning decision tree algorithm to tr ain a site selection model for service facilities for older people. The model ca n help to select appropriate locations for new service facilities for older peop le more scientifically and accurately, and it can provide targeted suggestions t o optimize the layout of the service facilities for older people in Guangzhou. F irst, Guangzhou city is divided into 29,793 grids of 500 m x 500 m based on the range of activities of older people, and 985 grids are found to contain service facilities for older people. Then, the POI data of the grid are fed into the ID3 algorithm for training to obtain a prediction model for the selection of sites for service facilities for older people. The effective prediction rate of the mo del reaches 87.54%.”

    Second Affiliated Hospital of Harbin Medical University Reports Findings in Bioi nformatics (Screening mitochondria-related biomarkers in skin and plasma of atop ic dermatitis patients by bioinformatics analysis and machine learning)

    25-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. According to news reporting from Heilongjia ng, People’s Republic of China, by NewsRx journalists, research stated, “There i s a significant imbalance of mitochondrial activity and oxidative stress (OS) st atus in patients with atopic dermatitis (AD). This study aims to screen skin and peripheral mitochondria-related biomarkers, providing insights into the underly ing mechanisms of mitochondrial dysfunction in AD.” The news correspondents obtained a quote from the research from the Second Affil iated Hospital of Harbin Medical University, “Public data were obtained from Mit oCarta 3.0 and GEO database. We screened mitochondria-related differentially exp ressed genes (MitoDEGs) using R language and then performed GO and KEGG pathway analysis on MitoDEGs. PPI and machine learning algorithms were also used to sele ct hub MitoDEGs. Meanwhile, the expression of hub MitoDEGs in clinical samples w ere verified. Using ROC curve analysis, the diagnostic performance of risk model constructed from these hub MitoDEGs was evaluated in the training and validatio n sets. Further computer-aided algorithm analyses included gene set enrichment a nalysis (GSEA), immune infiltration and mitochondrial metabolism, centered on th ese hub MitoDEGs. We also used real-time PCR and Spearman method to evaluate the relationship between plasma circulating cell-free mitochondrial DNA (ccf-mtDNA) levels and disease severity in AD patients. MitoDEGs in AD were significantly e nriched in pathways involved in mitochondrial respiration, mitochondrial metabol ism, and mitochondrial membrane transport. Four hub genes (BAX, IDH3A, MRPS6, an d GPT2) were selected to take part in the creation of a novel mitochondrial-base d risk model for AD prediction. The risk score demonstrated excellent diagnostic performance in both the training cohort (AUC = 1.000) and the validation cohort (AUC = 0.810). Four hub MitoDEGs were also clearly associated with the innate i mmune cells’ infiltration and the molecular modifications of mitochondrial hyper metabolism in AD. We further discovered that AD patients had considerably greate r plasma ccf-mtDNA levels than controls (U = 92.0, p<0.001 ). Besides, there was a significant relationship between the up-regulation of pl asma mtDNA and the severity of AD symptoms. The study highlights BAX, IDH3A, MRP S6 and GPT2 as crucial MitoDEGs and demonstrates their efficiency in identifying AD. Moderate to severe AD is associated with increased markers of mitochondrial damage and cellular stress (ccf=mtDNA).”

    New Artificial Intelligence Findings from University of Toronto Reported (The Go vernance of Artificial Intelligence In Canada: Findings and Opportunities From a Review of 84 Ai Governance Initiatives)

    26-27页
    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 Artificial Intelligence. According to news originating from Toronto, Canada, by NewsRx correspondents, research stated, “In recent years, the effective governan ce of artificial intelligence (AI) systems has become a strategic necessity for many nations. Among those nations, Canada is particularly noteworthy: Canada was the first nation to implement a national AI strategy, and more recently, Canada ‘s federal and provincial governments have designed and implemented a wide rang e of initiatives that attempt to intervene in a variety of potential impacts ass ociated with AI systems.” Financial support for this research came from CGIAR. Our news journalists obtained a quote from the research from the University of T oronto, “We present a semi-systematic review and synthesis of 84 of those AI gov ernance initiatives. We find that those 84 initiatives predominantly focus on de veloping programs, policies, and strategic plans to intervene in industry and in novation, technology production and use, AI research, and public administration. Conversely, we find relatively little focus on developing ethics statements or standards, as well as little focus on intervening in social and workforce develo pment services, AI education and training, and digital infrastructure. We sugges t three opportunities for researchers and four opportunities for practitioners t hat, if enacted, would strengthen the overall state of Canadian AI governance.”

    Universita degli Studi di Milano Researchers Yield New Study Findings on Machine Learning (Benchmarking machine learning models for quantum state classification )

    27-27页
    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 artificial intelligence. According to news reporting from the Universita degli S tudi di Milano by NewsRx journalists, research stated, “Quantum computing is a g rowing field where the information is processed by two-levels quantum states kno wn as qubits.” The news journalists obtained a quote from the research from Universita degli St udi di Milano: “Current physical realizations of qubits require a careful calibr ation, composed by different experiments, due to noise and decoherence phenomena . Among the different characterization experiments, a crucial step is to develop a model to classify the measured state by discriminating the ground state from the excited state.”

    Reports on Machine Learning Findings from Beijing Institute of Technology Provid e New Insights (Ab Initio Design of Ni-rich Cathode Material With Assistance of Machine Learning for High Energy Lithium-ion Batteries)

    28-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Beijing, People’s Republ ic of China, by NewsRx correspondents, research stated, “With the widespread use of lithium-ion batteries in electric vehicles, energy storage, and mobile termi nals, there is an urgent need to develop cathode materials with specific propert ies. However, existing material control synthesis routes based on repetitive exp eriments are often costly and inefficient, which is unsuitable for the broader a pplication of novel materials.” Financial support for this research came from National Natural Science Foundatio n of China.