Objectives
- Compare effects of climate and land use on fluxes within the same climate zone and among the mesic and semi-arid regions
- Combine multi-scale observations (satellite, flux sites, inventories, tall towers) in neural networks to determine how current climate, land-use and land cover influence processes
- Modify CLM to reduce uncertainties in simulated effects of land use and land cover on biogeochemical and biophysical processes (crops, poplar)
- Investigate future climate variability, and effects of changes in land use and land cover on terrestrial processes
La Navidad se trata del nacimiento de Jesús y del verdadero significado de amar y cuidar a los demás, no de los regalos. Lo más importante de la Navidad es pasar tiempo de calidad con la familia y los seres queridos.
Imteyaz Khan is a computer engineer with over 7 years of experience in analyzing, designing, developing, testing and debugging software. He has a degree in computer science and certifications in Microsoft Windows Server 2012 and Cisco networking. His experience includes managing networks, software development, and system administration. He is seeking a challenging position that allows him to further develop his technical skills and knowledge.
Deep learning has renewed interest in computational creativity. Can machines be creative? In which sense? And why this would be useful? We argue current creative AI systems are stuck: they explore combination, analogy or random, but the value of the objects are provided by the system designer.
The only way to creative AI is to develop agents building their own value.
We also argue: the generative potential of deep learning is understudied.
Current focus is on likelihood - whereas creativity is unlikely.
We present an implementation of these ideas on the MNIST handwritten digits dataset - to create symbols that could have been digits (e.g. in an imaginary culture) but that are not.
This document summarizes a project that used regional climate models and crop models to assess the potential impacts of climate change on agriculture in the Southwestern US and Korean Peninsula. The project utilized multiple regional climate models and crop models to simulate yields under historical and future climate scenarios. The results showed that maize yields in both regions could decrease significantly by 2050 under climate change without adaptation. However, shifting to earlier optimal planting dates by around 20 days helped maintain similar yield levels to historical periods in the Korean Peninsula by avoiding frost and extreme heat stresses.
Objectives
- Compare effects of climate and land use on fluxes within the same climate zone and among the mesic and semi-arid regions
- Combine multi-scale observations (satellite, flux sites, inventories, tall towers) in neural networks to determine how current climate, land-use and land cover influence processes
- Modify CLM to reduce uncertainties in simulated effects of land use and land cover on biogeochemical and biophysical processes (crops, poplar)
- Investigate future climate variability, and effects of changes in land use and land cover on terrestrial processes
La Navidad se trata del nacimiento de Jesús y del verdadero significado de amar y cuidar a los demás, no de los regalos. Lo más importante de la Navidad es pasar tiempo de calidad con la familia y los seres queridos.
Imteyaz Khan is a computer engineer with over 7 years of experience in analyzing, designing, developing, testing and debugging software. He has a degree in computer science and certifications in Microsoft Windows Server 2012 and Cisco networking. His experience includes managing networks, software development, and system administration. He is seeking a challenging position that allows him to further develop his technical skills and knowledge.
Deep learning has renewed interest in computational creativity. Can machines be creative? In which sense? And why this would be useful? We argue current creative AI systems are stuck: they explore combination, analogy or random, but the value of the objects are provided by the system designer.
The only way to creative AI is to develop agents building their own value.
We also argue: the generative potential of deep learning is understudied.
Current focus is on likelihood - whereas creativity is unlikely.
We present an implementation of these ideas on the MNIST handwritten digits dataset - to create symbols that could have been digits (e.g. in an imaginary culture) but that are not.
This document summarizes a project that used regional climate models and crop models to assess the potential impacts of climate change on agriculture in the Southwestern US and Korean Peninsula. The project utilized multiple regional climate models and crop models to simulate yields under historical and future climate scenarios. The results showed that maize yields in both regions could decrease significantly by 2050 under climate change without adaptation. However, shifting to earlier optimal planting dates by around 20 days helped maintain similar yield levels to historical periods in the Korean Peninsula by avoiding frost and extreme heat stresses.
Objectives:
- Determine how soil moisture and nutrients regulate microbial C-use efficiency (CUE)
- Develop mathematical functions that can be incorporated into earth system models
- Improve our ability to predict the impact of climate change on soil C-sequestration in agricultural systems
Objectives
- Understand, model and predict greenhouse gases emissions from grasslands and winter wheat croplands under changing microbes, climate, livestock and manure use across the scales of field, farm and watershed
- Broaden STEM education for K-12 and college students and teachers, and engage farmers, ranchers, decision makers, and citizen scientists to participate in in-situ data collection and analyses
Break Free From Oracle with Attunity and MicrosoftAttunity
- Attunity provides products that enable migration from Oracle databases to SQL Server with zero downtime. Their strategic partnership with Microsoft has lasted over 20 years.
- The document highlights benefits of migrating to SQL Server such as everything being built-in, including business intelligence, data warehousing, mobile BI and self-service BI. It claims SQL Server has industry-leading total cost of ownership.
- Attunity Replicate allows transferring, transforming, filtering and replicating data between heterogeneous sources and targets such as databases, data warehouses, Hadoop and cloud. It has a simple click-to-load interface and supports many source and target systems.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
The document contains numerous repetitions of "Leon's Design Experience Sharing" along with numbers. It provides contact information for Leon including an email address and LinkedIn profile. There is no other substantive information presented.
The document discusses factors that affect LTE cell throughput, including transport block size, codewords, LTE UE categories, modulation and coding scheme, coding rate, and number of layers. It provides information on key LTE concepts such as how transport block size is determined based on MCS index and resource blocks assigned. Higher order modulations like 64QAM and higher coding rates allow for greater cell throughput by improving spectral efficiency.
Die Predictive Analytics World ist die führende Fachkonferenz für anwendungsorientierte Predictive Analytics. Anwender, Entscheider und Experten von Predictive Analytics treffen sich in Berlin, um sich über die neuesten Erkenntnisse und Fortschritte zu informieren, sich untereinander fachlich und persönlich auszutauschen und sich von den Erfolgen inspirieren zu lassen.
Perspektiven und Trends: + Wo prägt Big Data den digitalen Wandel? + Welche Technologien helfen?
Big Data Lab: + Wie gelingt der Schnellstart in die neue Informationsökonomie?
Praxiserfahrungen: + Welche Erfahrungen machen andere? + Wo steht Ihre Branche?
This document discusses predicting customer churn for mobile operators to prevent customer loss, increase satisfaction and optimize network usage. It provides details on churn rates in India, data collection methods used including oversampling, and analysis performed on factors like network coverage, call quality and customer support to develop a churn prediction model. The analysis was conducted by a team of 7 people using techniques like p-value analysis, affinity diagramming and tweaking oversampling through trial and error.
Objectives:
- Determine how soil moisture and nutrients regulate microbial C-use efficiency (CUE)
- Develop mathematical functions that can be incorporated into earth system models
- Improve our ability to predict the impact of climate change on soil C-sequestration in agricultural systems
Objectives
- Understand, model and predict greenhouse gases emissions from grasslands and winter wheat croplands under changing microbes, climate, livestock and manure use across the scales of field, farm and watershed
- Broaden STEM education for K-12 and college students and teachers, and engage farmers, ranchers, decision makers, and citizen scientists to participate in in-situ data collection and analyses
Break Free From Oracle with Attunity and MicrosoftAttunity
- Attunity provides products that enable migration from Oracle databases to SQL Server with zero downtime. Their strategic partnership with Microsoft has lasted over 20 years.
- The document highlights benefits of migrating to SQL Server such as everything being built-in, including business intelligence, data warehousing, mobile BI and self-service BI. It claims SQL Server has industry-leading total cost of ownership.
- Attunity Replicate allows transferring, transforming, filtering and replicating data between heterogeneous sources and targets such as databases, data warehouses, Hadoop and cloud. It has a simple click-to-load interface and supports many source and target systems.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
The document contains numerous repetitions of "Leon's Design Experience Sharing" along with numbers. It provides contact information for Leon including an email address and LinkedIn profile. There is no other substantive information presented.
The document discusses factors that affect LTE cell throughput, including transport block size, codewords, LTE UE categories, modulation and coding scheme, coding rate, and number of layers. It provides information on key LTE concepts such as how transport block size is determined based on MCS index and resource blocks assigned. Higher order modulations like 64QAM and higher coding rates allow for greater cell throughput by improving spectral efficiency.
Die Predictive Analytics World ist die führende Fachkonferenz für anwendungsorientierte Predictive Analytics. Anwender, Entscheider und Experten von Predictive Analytics treffen sich in Berlin, um sich über die neuesten Erkenntnisse und Fortschritte zu informieren, sich untereinander fachlich und persönlich auszutauschen und sich von den Erfolgen inspirieren zu lassen.
Perspektiven und Trends: + Wo prägt Big Data den digitalen Wandel? + Welche Technologien helfen?
Big Data Lab: + Wie gelingt der Schnellstart in die neue Informationsökonomie?
Praxiserfahrungen: + Welche Erfahrungen machen andere? + Wo steht Ihre Branche?
This document discusses predicting customer churn for mobile operators to prevent customer loss, increase satisfaction and optimize network usage. It provides details on churn rates in India, data collection methods used including oversampling, and analysis performed on factors like network coverage, call quality and customer support to develop a churn prediction model. The analysis was conducted by a team of 7 people using techniques like p-value analysis, affinity diagramming and tweaking oversampling through trial and error.