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Quantifying Dynamical Predictability:the Pseudo-Ensemble Approach

Chinese Annals of Mathematics,Series B 2009年第5期30卷 569-588页

作者： Jianbo GAO Wenwen TUNG Jing HU pmb intelligence llc PO Box 2077 West Lafayette IN 47996 USA. Purdue Climate Change Research Center Department of Earth and Atmospheric Sciences Purdue University 550 Stadium Mall Dr. West Lafayette IN 47907-2051 USA. pmb intelligence llc PO Box 2077 West Lafayette IN 47996 USA Affymetrix Inc. 3380 Central Expressway Santa Clara CA 95051 USA.

The ensemble technique has been widely used in numerical weather prediction and extended-range *** approaches to evaluate the predictability using the ensemble technique can be divided into two major *** is dynamical,including generating Lyapunov vectors,bred vectors,and singular vectors,sampling the fastest error-growing directions of the phase space,and examining the dependence of prediction efficiency on ensemble *** other is statistical,including distributional analysis and quantifying prediction utility by the Shannon entropy and the relative ***,with simple models,one could choose as many ensembles as possible,with each ensemble containing a large number of *** the forecast models become increasingly complicated,however,one would only be able to afford a small number of ensembles,each with limited number of members,thus sacrificing estimation accuracy of the forecast *** uncover connections between different information theoretic approaches and between dynamical and statistical approaches,we propose an (∈;T)-entropy and scale-dependent Lyapunov exponent——based general theoretical framework to quantify information loss in ensemble *** importantly,to tremendously expedite computations,reduce data storage,and improve forecasting accuracy,we propose a technique for constructing a large number of "pseudo" ensembles from one single solution or scalar *** pseudo-ensemble technique appears to be applicable under rather general conditions,one important situation being that observational data are available but the exact dynamical model is unknown.

关键词： Dynamical predictability Ensemble forecasting Relative entropy Kolmogorov entropy Scale-dependent Lyapunov exponent

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Complex systems and emergence： How theory meets reality

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力学进展 2013年第4期43卷 359-389页

作者： GAO Jianbo pmb intelligence llc Sunnyvale CA 94087 USA Mechanical and Materials Engineering Wright State University Dayton OH 45435 USA

Emergent behaviors of complex systems have fascinated mankind for aeons. It is only in recent decades that extensive efforts have been made to quantitatively study them, resulting in important theories and tools such as chaos theory, random fractal theory, and multiscale analyses. This article aims to convey the best practices in this vast field, emphasizing theory meets reality. As illustrative examples, cyber-security, financial crises, river flow dynamics, and world-wide political conflicts will be briefly discussed. Important future research directions will also be outlined.

关键词： complex systems emergence chaos fractal cyber security financial crisis river dynamics political conflicts

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Death as a Drug Side Effect in FAERS: Is Glyphosate Contamination a Factor?

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Agricultural Sciences 2015年第12期6卷 1472-1501页

作者： Stephanie Seneff Nancy Swanson Chen Li Gerald Koenig Computer Science and Artificial intelligence Laboratory MIT Cambridge MA USA Abacus Enterprises Lummi Island WA USA Health-e-Iron LLC Austin TX USA

An analysis of selected datasets from the FDA’s drug Adverse Event Reporting System (FAERS) leads us to hypothesize that glyphosate contamination in both food and drugs is a major contributor to chronic and acute kidney failure respectively. In chronic kidney failure, glyphosate-induced pancreatitis results in the release of trypsin, causing a leaky vasculature. The albumin-bound glyphosate escapes into the tissues, protecting the circulatory system and kidneys but resulting in multiple symptoms related to skin, gut, brain, bones, lungs, etc. The rare and poorly understood acute kidney failure response reported for protamine sulfate and Trasylol? is strikingly similar to that associated with glyphosate poisoning. Both drugs are derived from biological tissues that are plausibly contaminated with glyphosate. These drugs protect from haemorrhage, which leads to retention of glyphosate in the vasculature, are followed by circulatory collapse and a high likelihood of death as an outcome. We support our argument by comparing symptom profiles of selected subsets of FAERS with those related to glyphosate poisoning, anomalous reactions to protamine sulfate, and conditions showing strong statistical time-trend correlations with glyphosate.

关键词： Drug Side Effects Drug Contamination Renal Failure Glyphosate Pancreatitis Osteonecrosis Protamine Sulfate Aprotinin Oedema

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Automated pipeline for superalloy data by text mining

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npj Computational Materials 2022年第1期8卷 58-69页

作者： Weiren Wang Xue Jiang Shaohan Tian Pei Liu Depeng Dang Yanjing Su Turab Lookman Jianxin Xie Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing100083China Collaborative Innovation Center of Steel Technology University of Science and Technology BeijingBeijing100083China Beijing Key Laboratory of Materials Genome Engineering University of Science and Technology BeijingBeijing100083China School of Artificial intelligence Beijing Normal UniversityBeijing100875China AiMaterials Research llc Santa FeNM87501USA

Data provides a foundation for machine learning,which has accelerated data-driven materials *** scientific literature contains a large amount of high-quality,reliable data,and automatically extracting data from the literature continues to be a *** propose a natural language processing pipeline to capture both chemical composition and property data that allows analysis and prediction of *** 3 h,2531 records with both composition and property are extracted from 14,425 articles,coveringγ′solvus temperature,density,solidus,and liquidus temperatures.A data-driven model forγ′solvus temperature is built to predict unexplored Co-based superalloys with highγ′solvus temperatures within a relative error of 0.81%.We test the predictions via synthesis and characterization of three alloys.A web-based toolkit as an online open-source platform is provided and expected to serve as the basis for a general method to search for targeted materials using data extracted from the literature.

关键词： superalloy property pipeline

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Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future

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Energy and AI 2021年第1期3卷 73-82页

作者： Dmitry Koroteev Zeljko Tekic Skolkovo Institute of Science and Technology Russian Federation Digital Petroleum llc Russian Federation

We analyze how artificial intelligence changes a significant part of the energy sector,the oil and gas *** focus on the upstream segment as the most capital-intensive part of oil and gas and the segment of enormous uncertainties to *** on the analysis of AI application possibilities and the review of existing applica-tions,we outline the most recent trends in developing AI-based tools and identify their effects on accelerating and de-risking processes in the *** investigate AI approaches and algorithms,as well as the role and availability of data in the ***,we discuss the main non-technical challenges that prevent the in-tensive application of artificial intelligence in the oil and gas industry,related to data,people,and new forms of *** also outline three possible scenarios of how artificial intelligence will develop in the oil and gas industry and how it may change it in the future(in 5,10,and 20 years).

关键词： Artificial intelligence Digital transformation Oil and gas industry Upstream Innovation

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Sustainability in Data and Food

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Data intelligence 2019年第1期1卷 43-57页

作者： Dean Allemang Working Ontologist LLC.55 W Livingston AvenueColumbusOH 43215USA

As the world population continues to increase,world food production is not keeping *** means that to continue to feed the world,we will need to optimize the production and utilization of food around the *** of a process on a global scale requires massive *** is no exception,but also brings its own unique issues,based on how wide spread agricultural data are,and the wide variety of data that is relevant to optimization of food production and *** suggests that we need a global data ecosystem for agriculture and *** an ecosystem already exists to some extent,made up of data sets,metadata sets and even search engines that help to locate and utilize data sets.A key concept behind this is sustainability-how do we sustain our data sets,so that we can sustain our production and distribution of food?In order to make this vision a reality,we need to navigate the challenges for sustainable data management on a global *** from the current state of practice,how do we move forward to a practice in which we make use of global data to have an impact on world hunger?In particular,how do we find,collect and manage the data?How can this be effectively deployed to improve practice in the field?And how can we make sure that these practices are leading to the global goals of improving production,distribution and sustainability of the global food supply?These questions cannot be answered yet,but they are the focus of ongoing and future research to be published in this journal and elsewhere.

关键词： Agriculture Data science Data sharing Sustainability Vocabulary management

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Deep learning-based activity recognition and fine motor identification using 2D skeletons of cynomolgus monkeys

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Zoological Research 2023年第5期44卷 967-980页

作者： Chuxi Li Zifan Xiao Yerong Li Zhinan Chen Xun Ji Yiqun Liu Shufei Feng Zhen Zhang Kaiming Zhang Jianfeng Feng Trevor W.Robbins Shisheng Xiong Yongchang Chen Xiao Xiao School of Information Science and Technology Micro Nano System Center Fudan UniversityShanghai 200433China Department of Anesthesiology Huashan HospitalKey Laboratory of Computational Neuroscience and Brain-Inspired IntelligenceMinistry of EducationBehavioral and Cognitive Neuroscience CenterInstitute of Science and Technology for Brain-Inspired IntelligenceMOE Frontiers Center for Brain ScienceFudan UniversityShanghai 200433China Kuang Yaming Honors School Nanjing UniversityNanjingJiangsu 210023China Shanghai Key Laboratory of Intelligent Information Processing School of Computer ScienceFudan UniversityShanghai 200433China State Key Laboratory of Primate Biomedical Research Institute of Primate Translational MedicineKunming University of Science and TechnologyKunmingYunnan 650500China New Vision World llc. Aliso ViejoCalifornia 92656USA Behavioural and Clinical Neuroscience Institute University of CambridgeCambridgeCB21TNUK

Video-based action recognition is becoming a vital tool in clinical research and neuroscientific study for disorder detection and ***,action recognition currently used in non-human primate(NHP)research relies heavily on intense manual labor and lacks standardized *** this work,we established two standard benchmark datasets of NHPs in the laboratory:Monkeyin Lab(Mi L),which includes 13 categories of actions and postures,and MiL2D,which includes sequences of two-dimensional(2D)skeleton ***,based on recent methodological advances in deep learning and skeleton visualization,we introduced the Monkey Monitor Kit(Mon Kit)toolbox for automatic action recognition,posture estimation,and identification of fine motor activity in *** the datasets and Mon Kit,we evaluated the daily behaviors of wild-type cynomolgus monkeys within their home cages and experimental environments and compared these observations with the behaviors exhibited by cynomolgus monkeys possessing mutations in the MECP2 gene as a disease model of Rett syndrome(RTT).Mon Kit was used to assess motor function,stereotyped behaviors,and depressive phenotypes,with the outcomes compared with human manual *** Kit established consistent criteria for identifying behavior in NHPs with high accuracy and efficiency,thus providing a novel and comprehensive tool for assessing phenotypic behavior in monkeys.

关键词： Action recognition Fine motor identification Two-stream deep model 2D skeleton Non-human primates Rett syndrome

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Hypothesis and Thought Experiment:Can We Program AI Forms with the Foundations of Sentience to Protect Humanity?

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Journal of Social Computing 2024年第3期5卷 195-205页

作者： Margaret Boone Rappaport Christopher J.Corbally the Human Sentience Project LLCTucson 85704AZUSA the Vatican Observatory University of ArizonaTucson 85719AZUSA

The speed,capacity,and strength of artificial intelligence units(AIs)could pose a selfinflicted danger to humanity’s control of its own *** this analysis,three biologically-based components of sentience that emerged in the course of human evolution are examined:cultural capacity,moral capacity,and religious *** question is posed as to whether some measure of these capacities can be digitized and installed in AIs and so afford protection from their *** on the emergence of moral capacity suggests it is most likely to be amenable to digitization and therefore installation in *** so,transfer of that capacity,in creating commonalities between human and AI,may help to protect humanity from being *** hypothesize that religious thinking and culturally elaborated theological creativity could,in not being easily transferred,afford even more protection by constructing impenetrable barriers between humans and AIs,along real/counterfactual *** in digitizing and installing the three capacities at the foundation of sentience are examined within current discussions of“superalignment”of superintelligent *** values articulate differently for the three capacities,with different problems and capacities for supervision of superintelligent AIs.

关键词： human evolution cultural capacity moral decision-making superalignment religiosity sentience Turing Test extraterrestrials

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Hypothesis and Thought Experiment: Comparing Cognitive Competition of Neandertals and Early Humans, to Our Coming Contest with AIs

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Journal of Social Computing 2024年第2期5卷 122-131页

作者： Margaret Boone Rappaport Christopher J.Corbally The Human Sentience Project llc TucsonAZ 85704USA the Department of Astronomy Steward ObservatoryUniversity of ArizonaTucsonAZ 85719USA

The history of how Homo sapiens out-survived the Neanderthals is recalled here with the goal of conceiving an edge in our coming competition with a faster, stronger artificial intelligence (AI) who has far greater capacity for information storage. The social and cognitive differences between the two hominid species, Homo sapiens and Homo neanderthalensis, are described. Based on findings from genomics, neuroscience, archaeology, and paleobiology, it appears possible that the capacities of Homo sapiens could outreach those of AIs in some ways. Especially important are human visuospatial, cultural, and, oddly enough, theological capacities, and the interaction of these capacities in group problem-solving. While communication between AIs is fast and can be widespread, the authors ask whether this is the right kind of communication for solving problems of survival. An important question is explored throughout: Is it ethical to withhold from AIs human-like capacities that may become possible to install? Finally, a worrisome question is broached: Is it the best course to create AIs in our own image to safeguard our existence in unknown future interactions with extraterrestrial species, both organic and inorganic?

关键词： cognitive evolution neuroscience genomics visuospatial capacity family structure navigation ethics extraterrestrials

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Use of AI Voice Authentication Technology Instead of Traditional Keypads in Security Devices

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Journal of Computer and Communications 2022年第6期10卷 11-21页

作者： Deepak Ramesh Chandran Iris Energy llc Edison USA

Traditional keypads and text-based passwords are vulnerable to scams and hacks, leading to enormous levels of embezzlement and frauds apart from various other threats to data security. AI based voice authentication holds unparalleled value for data protection, security, and privacy, by providing an effective alternative to traditional password-based protection. This paper reports the findings of a limited literature review that forms the basis for further research towards enhancing the reliability and security of AI voice authentication. Based on the findings of the review of existing literature, this paper proposes that integration of the blockchain technology with the AI voice authentication can significantly enhance the data security, starting from mobile devices to the security of big agencies and banks. The key processes in implementing an AI voice authentication system are proposed as a conceptual model, to facilitate further research for implementation.

关键词： Artificial intelligence Voice Authentication Blockchain Data Security Automatic Speech Recognition Voice Biometrics

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