查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Gram-Positive Bacteria - Mycobacteria. According to news reporting from Paris, F rance, by NewsRx journalists, research stated, "Mycobacterium abscessus (MABS) d isplays differential subspecies susceptibility to macrolides. Thus, identifying MABS's subspecies (M. abscessus, M. bolletii and M. massiliense) is a clinical n ecessity for guiding treatment decisions." Financial support for this research came from National Public Health Agency (San te Publique France). The news correspondents obtained a quote from the research from Sorbonne Univers ity, "We aimed to assess the potential of Machine Learning (ML)-based classifier s coupled to Matrix-Assisted Laser Desorption/Ionization Time-of-Flight (MALDI-T OF) MS to identify MABS subspecies. Two spectral databases were created by using 40 confirmed MABS strains. Spectra were obtained by using MALDITOF MS from str ains cultivated on solid (Columbia Blood Agar, CBA) or liquid (MGIT ® media for 1 to 13 days. Each database was divided into a dataset for ML-based pipeline de velopment and a dataset to assess the performance. An in-house programme was dev eloped to identify discriminant peaks specific to each subspecies. The peak-base d approach successfully distinguished M. massiliense from the other subspecies f or strains grown on CBA. The ML approach achieved 100% accuracy fo r subspecies identification on CBA, falling to 77.5% on MGIT ® Th is study validates the usefulness of ML, in particular the Random Forest algorit hm, to discriminate MABS subspecies by MALDI-TOF MS."
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 Beijing, People's Republic of China, by NewsRx correspondents, research stated, "Factor graph opti mization has been widely used for state estimation in robotic SLAM community. Ex tensive algorithms have been proposed for camera/LiDAR/INS based SLAM." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of China (NSFC), Natural Science Foundation of Henan, China Postdoctoral Science Foundation.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting from Karlsruhe, Germany, by NewsRx journalists, research stated, "Conventional Digital Twins (DTs) in smart manufa cturing rely on complex and time-intensive simulation models, hindering real-tim e DTbased decision-making. However, the availability of big data in Manufacturi ng Execution Systems (MES) enables training different Machine Learning (ML) mode ls for fast and accurate predictions and decision assessments."
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 reporting originating in Atlant a, Georgia, by NewsRx journalists, research stated, "Machine learning models are vulnerable to maliciously crafted Adversarial Examples (AEs). Training a machin e learning model with AEs improves its robustness and stability against adversar ial attacks." Funders for this research include National Science Foundation (NSF), Microsoft F aculty Fellowship Program. The news reporters obtained a quote from the research from Georgia State Univers ity, "It is essential to develop models that produce high-quality AEs. Developin g such models has been much slower in natural language processing (NLP) than in areas such as computer vision. This paper introduces a practical and efficient a dversarial attack model called SSCAE for Semantic, Syntactic, and Context-aware natural language AEs generator. SSCAE identifies important words and uses a mask ed language model to generate an early set of substitutions. Next, two well-know n language models are employed to evaluate the initial set in terms of semantic and syntactic characteristics. We introduce (1) a dynamic threshold to capture m ore efficient perturbations and (2) a local greedy search to generate high-quali ty AEs. As a black-box method, SSCAE generates humanly imperceptible and context -aware AEs that preserve semantic consistency and the source language's syntacti cal and grammatical requirements. The effectiveness and superiority of the propo sed SSCAE model are illustrated with fifteen comparative experiments and extensi ve sensitivity analysis for parameter optimization."
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 Middletown, Connecticut, by NewsRx journalists, research stated, "The tumor suppressor protein p53, a tr anscription factor playing a key role in cancer prevention, interacts with DNA a s its primary means of determining cell fate in the event of DNA damage. When it becomes mutated, it opens damaged cells to the possibility of reproducing unche cked, which can lead to formation of cancerous tumors." Financial support for this research came from National Institute of Health.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news originating from Iserlohn, Germany, by NewsRx correspondents, research stated, "PurposeSmall-scale farmers are highly heteroge neous with regard to their types of farming, levels of technology adoption, degr ee of commercialization and many other factors. Such heterogeneous types, respec tively groups of small-scale farming systems require different forms of governme nt interventions." Financial support for this research came from Federal Ministry of Education & Research (BMBF).
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 out of Karlskrona, Sweden, by NewsRx edit ors, research stated, "Adversarial Machine Learning (AML) discusses the act of a ttacking and defending Machine Learning (ML) Models, an essential building block of Artificial Intelligence (AI). ML is applied in many software-intensive produ cts and services and introduces new opportunities and security challenges." Financial support for this research came from KKS foundation at Blekinge Institu te of Technology. Our news journalists obtained a quote from the research from the Blekinge Instit ute of Technology, "AI and ML will gain even more attention from the industry in the future, but threats caused by alreadydiscovered attacks specifically targe ting ML models are either overseen, ignored, or mishandled. Current AML research investigates attack and defense scenarios for ML in different industrial settin gs with a varying degree of maturity with regard to academic rigor and practical relevance. However, to the best of our knowledge, a synthesis of the state of a cademic rigor and practical relevance is missing. This literature study reviews studies in the area of AML in the context of industry, measuring and analyzing e ach study's rigor and relevance scores."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics - Ro botics and Automation have been published. According to news reporting out of Sh enyang, People's Republic of China, by NewsRx editors, research stated, "The pne umatic artificial muscle (PAM) is widely applied in various scenarios due to the ir compliance and high-efficiency characteristics. However, the online modeling method which can accommodate online data remains an unresolved issue when data c annot be obtained off-line." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from Northeastern Univer sity, "This letter proposes an online incremental modeling method based on the p hysics-informed LSTM (PI-LSTM) architecture. The modified three-element model is regarded as the physics knowledge, and integrated into the PI-LSTM architecture , enabling the representation of physical constraints through neural networks. S ubsequently, the elastic weight consolidation (EWC) method is utilized to combin e the online operational data with the offline PI-LSTM model, allowing the model to be updated using the online data. Finally, online dynamic modeling experimen ts conducted on PAMs under different loads and driving conditions demonstrate th e precision of the proposed method."
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 in Knoxvil le, Tennessee, by NewsRx journalists, research stated, "As the awareness on viol ent deaths from guns, drugs, and suicides emerges as a public health crisis in t he United States, attempts to prevent injury and mortality through nursing resea rch are critical. The National Violent Death Reporting System provides public he alth surveillance of US violent deaths; however, understanding the National Viol ent Death Reporting System's research utility is limited." The news reporters obtained a quote from the research from the University of Ten nessee, "The purpose of our rapid review of the 2019-2023 literature was to unde rstand to what extent artificial intelligence methods are being used with the Na tional Violent Death Reporting System. We identified 16 National Violent Death R eporting System artificial intelligence studies, with more than half published a fter 2020. The text-rich content of National Violent Death Reporting System enab led researchers to center their artificial intelligence approaches mostly on nat ural language processing (50%) or natural language processing and m achine learning (37%). Significant heterogeneity in approaches, tec hniques, and processes was noted across the studies, with critical methods infor mation often lacking. The aims and focus of National Violent Death Reporting Sys tem studies were homogeneous and mostly examined suicide among nurses and older adults. Our findings suggested that artificial intelligence is a promising appro ach to the National Violent Death Reporting System data with significant untappe d potential in its use."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been pr esented. According to news reporting out of Nantes, France, by NewsRx editors, r esearch stated, "Equilibrium stability assessment is a primary issue in continuu m robots (CRs). The possible stable-to-unstable transitions that CRs may admit c omplicate the use of CRs in tasks where safety and human-robot interactions are mandatory." Financial support for this research came from Agence nationale pour le developpe ment de la recherche en sante (ANDRS). Our news journalists obtained a quote from the research from National Center for Scientific Research (CNRS), "In this context, metrics measuring the distance fr om instability are essential but rarely developed. Existing metrics are frequent ly based on the evaluation of matrices involving mixed units, thus resulting in unit-dependent metrics. Moreover, the physical meaning of existing metric is har d to interpretate. This article proposes to use the magnitude of a force that br ings instability to the CR equilibrium as a measure of the distance to instabili ty. The major advantages of this metric are the intrinsic physical meaning, the practical interpretation of the results, and the well-defined unit of the measur ements. The proposed metric (named directional critical load index) is based on the linearization of the eigenvalues of the reduced Hessian matrix of the total potential energy, which can be achieved regardless of the employed discretizatio n technique."
NETL
NSTL