stickler_modeling_baselines
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1) The document describes a modeling system called Amazon Scenarios that is used to simulate baseline deforestation rates and potential emissions reductions from REDD+ projects in the Brazilian Amazon. 2) The model takes into account factors like protected areas, indigenous lands, roads, soils and historical deforestation patterns to generate high and low estimates of business-as-usual deforestation under different policy scenarios. 3) Results from the Amazon Scenarios model have been used to estimate baseline deforestation and emissions reductions for several specific REDD+ projects in Brazil, including in the states of Amazonas, Rondonia, Acre, and Mato Grosso.
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This document discusses financing for the Berau Forest Carbon Program (BFCP) in Indonesia. BFCP aims to reduce deforestation and emissions while improving livelihoods. It requires $50 million in "core funding" by 2010 to achieve key outcomes through 2015. TNC will contribute $10 million and seek $2 million in private funds and $48 million in public funds. Public funding sources for REDD include commitments from several countries totaling $3.5 billion from 2010-2013. However, funding has not yet flowed to Indonesia at the level expected. Challenges include lack of GOI coordination, competing funds, scaling plans, and donor interests being spread thinly. Additional issues concern transparency, accountability, and
Mapping the Solidarity Economy
The document discusses mapping the solidarity economy in Philadelphia. It provides examples of solidarity economy organizations in Philadelphia, including conservation land trusts, community gardens, worker cooperatives, food cooperatives, artists' cooperatives, daycare/educational cooperatives, social enterprises, community supported agriculture, community currencies, self-help programs, fair trade/ethical purchasing, housing cooperatives, settlement houses, eco-villages, community financing, gender/minority financing, and community development corporations. It describes the process used to identify and map these organizations and some challenges encountered.
reddex bfcp hartanto
The Berau Forest Carbon Program is a REDD+ demonstration project in Berau district, Indonesia that aims to reduce deforestation and forest degradation emissions by 20 million tons of CO2 per year. The program will test strategies like sustainable forest management, oil palm best practices, and community livelihood improvements over 5 years. It seeks $50 million in funding to manage 800,000 hectares of land and benefit 5,000 communities while documenting lessons for national REDD+ policies. Challenges include securing funding and enhancing local capacity under Indonesia's developing REDD+ framework.
ApproachesToBaseline dganz
This document discusses approaches to establishing a baseline or reference emission level (REL) for measuring reductions in greenhouse gas emissions from forestry projects. It presents three common methods for projecting business-as-usual emissions: using historic data, modeled projections, or negotiated levels. Nested RELs set baselines at multiple scales from project to national. Key challenges include measuring forest carbon stocks and developing RELs simply yet credibly across scales in a transparent process.
ImpactAssesment mrichards
The document summarizes a manual for conducting social impact assessments of land-based carbon projects. It outlines 7 stages of social impact assessment: 1) original conditions study and stakeholder identification, 2) social reference scenario, 3) project design and theory of change, 4) negative impacts and mitigation, 5) indicator selection, 6) monitoring plan, and 7) data analysis and reporting. It emphasizes using a theory of change approach to link project activities to outcomes and impacts. Participatory methods are recommended for cost-effective data collection. The manual was field tested in 2019 and will be published in early 2011.
Ejemplo de uso de Trip It
This document is an itinerary for Judith Rivero's trip to Berlin, Germany from July 2nd to July 4th, 2010. The itinerary details her flights to and from Berlin, the hotels she will stay at, and activities she has planned like visiting museums, palaces and restaurants. It provides the dates, times and locations for each item on her agenda.
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Mangroves are unique ecosystems that provide valuable coastal area habitats, protection, and services. Access to observing mangrove forests is typically difficult on the ground. Therefore, it is of interest to develop and evaluate remote sensing methods that enable us to obtain accurate information on the structure of mangrove forests and to monitor their condition in time. The main objective of this study was to develop a methodology for processing airborne lidar data for measuring height and crown diameter for mangrove forests in the north-eastern coastal areas of Brazil. Specific objectives were to: (1) evaluate the most appropriate lidar data processing approach, such as area-based or individual tree methods, (2) investigate the most appropriate parameters for lidar-derived data products when estimating height and crown diameter, such as the spatial resolution of canopy height models and ground elevation models; and (3) compare the accuracy of lidar estimates to field measurements of height and crown diameter. The lidar dataset was acquired over mangrove forest of the northeast of Brazil. The crown diameter was calculated as the average of two values measured along two perpendicular directions from the location of each tree top by fitting a fourth-degree polynomial on both profiles. The lidar-derived tree measurements were used with regression models and cross-validation to estimate plot level field-measured crown diameter. Root mean square error, linear regression and the Nash-Sutcliffe coefficient were also used to compare lidar height and field height. The mean of lidar-estimated tree height was 9,48m and the mean of field tree height was 8.44m. The correlation between lidar tree height and field tree height was r= 0.60, E=-0.06 and RMSE= 2.8. The correlation between height and crown diameter needed to parameterized the individual tree identification software obtained for 32 trees was r= 0.83 and determination coefficient was r2 = 0.69. The results of the current study show that lidar data could be used to estimate height and average crown diameter of mangrove trees and to improve estimates of other mangrove forest biophysical parameters of interest by focusing at the individual tree level. The research presented in this study contributes to the overall knowledge of using lidar remote sensing to measure and monitor mangrove forests.Measuring Individual Tree Height and Crown Diameter for Mangrove Trees with A...
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Mangroves are unique ecosystems that provide valuable coastal area habitats, protection, and services. Access to observing mangrove forests is typically difficult on the ground. Therefore, it is of interest to develop and evaluate remote sensing methods that enable us to obtain accurate information on the structure of mangrove forests and to monitor their condition in time. The main objective of this study was to develop a methodology for processing airborne lidar data for measuring height and crown diameter for mangrove forests in the north-eastern coastal areas of Brazil. Specific objectives were to: (1) evaluate the most appropriate lidar data processing approach, such as area-based or individual tree methods, (2) investigate the most appropriate parameters for lidar-derived data products when estimating height and crown diameter, such as the spatial resolution of canopy height models and ground elevation models; and (3) compare the accuracy of lidar estimates to field measurements of height and crown diameter. The lidar dataset was acquired over mangrove forest of the northeast of Brazil. The crown diameter was calculated as the average of two values measured along two perpendicular directions from the location of each tree top by fitting a fourth-degree polynomial on both profiles. The lidar-derived tree measurements were used with regression models and cross-validation to estimate plot level field-measured crown diameter. Root mean square error, linear regression and the Nash-Sutcliffe coefficient were also used to compare lidar height and field height. The mean of lidar-estimated tree height was 9,48m and the mean of field tree height was 8.44m. The correlation between lidar tree height and field tree height was r= 0.60, E=-0.06 and RMSE= 2.8. The correlation between height and crown diameter needed to parameterized the individual tree identification software obtained for 32 trees was r= 0.83 and determination coefficient was r2 = 0.69. The results of the current study show that lidar data could be used to estimate height and average crown diameter of mangrove trees and to improve estimates of other mangrove forest biophysical parameters of interest by focusing at the individual tree level. The research presented in this study contributes to the overall knowledge of using lidar remote sensing to measure and monitor mangrove forests.Measuring Individual Tree Height and Crown Diameter for Mangrove Trees with A...
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This document examines the relationship between PALSAR radar backscatter data and above-ground forest biomass measurements in Japan. The study found HV polarization data had a better correlation with biomass than HH polarization. Slope correction of the radar data was also important, especially in mountainous areas, to reduce error. The results were used to create a biomass map of Japan, though the author notes improving accuracy would require additional data sources and analysis.
2011_0728_IGARSS2011_Motohka.ppt
This document examines the relationship between PALSAR radar backscatter data and above-ground forest biomass measurements in Japan. The study found HV polarization data had a better correlation with biomass than HH polarization. Slope correction of the radar data was also important, especially in mountainous areas, to reduce error. The results were used to create a biomass map of Japan, though the author notes improving accuracy would require additional data sources and analysis.
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During last year’s partnership meeting, partners asked whether GFW should monitor land and forest values beyond trees. Since then, several GFW partners have been developing new approaches for monitoring land cover, land use, and values such as biodiversity, carbon, and water. Discussion topics include: what are needs for a monitoring system beyond forest area (e.g. for climate and biodiversity)? What role should GFW play in advancing new monitoring approaches? Which monitoring needs should we prioritize first? Alertas Tempranas de Pérdida de Bosques tropicales en Perú usando Landsat
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Pielemeier detailed
1. Integrated rural development projects from the 1960s-1970s and integrated conservation and development projects from the 1980s onward provide lessons for REDD+ project design. Both suffered from trying to accomplish too much too fast and a lack of understanding of local socio-political contexts.
2. Landscape-scale projects since the mid-1990s in places like the Congo Basin aim to balance conservation and development goals across larger geographies. They emphasize long timeframes, capacity building, and addressing threats at multiple scales.
3. Conditional cash transfer programs demonstrate the potential for incentives to change behaviors like education enrollment, but designing effective programs requires defining clear target populations and conditions.
REDD+ in Indonesia TSoehartono
Indonesia has seen high rates of deforestation from 1990-2006, with predicted high emissions from land use change and peat fires up to 2020 if no action is taken. Indonesia's emission reduction plan through supported NAMAs (Nationally Appropriate Mitigation Actions) aims to reduce emissions by 26% below business as usual by 2020, with potential to reach 36% reduction through activities like land allocation, fire prevention, peatland rehabilitation, and sustainable forest management. The Ministry of Forestry of Indonesia has outlined priority policies from 2010-2014 to strengthen forest protection and management, as well as empower communities and undertake climate change mitigation and adaptation efforts, supported through international cooperation programs.
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Brazil has several national policies and programs related to REDD+. The document outlines billions of dollars allocated to various organizations for projects related to protected areas, reducing deforestation, and forest recovery. It also discusses Brazil's voluntary commitments to reduce greenhouse gas emissions between 36.1-38.9% by 2020 across key sectors like reducing deforestation, restoring grazing lands, and improving energy efficiency. A draft bill proposes a national REDD+ system with safeguards and a national registry to establish reference levels for biomes, states, and municipalities. Changes to Brazil's Forest Code include forgiving illegal occupations until 2008 and allowing compensation of legal reserves across state lines.
Tnc country pathways andrasko
This document discusses pathways to success for REDD+ (Reduced Emissions from Deforestation and Forest Degradation) programs. It notes that REDD+ now has broad support but countries need to rapidly share lessons learned and develop a common vision for national REDD+ programs. Countries start REDD+ readiness activities from different points due to varying land use trends, deforestation drivers, and governance situations. Crucial early activities include transparent stakeholder consultations to develop an inclusive approach to REDD+ planning and implementation.
Designing redd+ projects johnp
This document discusses lessons learned from past integrated rural development programs, integrated conservation and development projects, landscape-level projects, and global health initiatives that can inform the design of REDD+ projects. Key lessons include: projects need to be carefully phased, start simply, and build local capacity gradually; conservation objectives often had tenuous links to development goals and were difficult to measure; and working at multiple scales, strengthening policies and capacity, and ensuring local participation are important for long-term success. Recurring themes across different program types are the need for adequate timeframes, funding, and capacity building at multiple levels.
legal_and_institutions_Duncan
The document discusses international and national institutional arrangements for REDD+. At the international level, the main institutions are the UNFCCC, the Forest Carbon Partnership Facility (FCPF), UN REDD, and the World Bank's Forest Investment Program. The FCPF has two mechanisms, the Readiness Fund and Carbon Fund. Nationally, countries are establishing REDD+ committees and designating lead agencies to develop strategies, reference scenarios, and monitoring systems. Effective national frameworks require legislation, policies, stakeholder engagement, and coordination across sectors that impact forests.
Legal and institutional structure
The document discusses the legal and institutional structures needed to support REDD+ programs through three stages of development:
1) Readiness stage requires national REDD+ strategies and establishing monitoring, reporting and verification systems with support from multilateral funders.
2) Early implementation stage involves incentives for landholders and expanding protected areas using funding from multilateral and some private sources.
3) Payment for performance stage necessitates international rules for emissions trading, oversight, and standards as well as national laws governing participation in carbon markets and verification procedures. International and national regulatory bodies are also needed.
griscom_rel_e_kali
1) Three alternative methods for predicting deforestation rates at the district level in East Kalimantan were compared: simple historical rate, historical rate adjusted based on reference regions determined by cluster analysis, and spatially explicit modeling of future rates.
2) The predicted deforestation amounts from 2006-2009 generated by each method were compared to actual deforestation over that period. The reference region method, which used the historical rate of similar reference regions, performed best with errors less than 20% of actual deforestation.
3) The presenter suggested using the reference region method for sub-national scale RELs, while using a combination of modeled projections and book-keeping of planned events for project scales.
Benefit_sharing_reddex_natalie
- Indigenous lands in the Amazon account for 27% of the total area of Amazonas state in Brazil, playing an important role in protecting the forest.
- Traditional peoples in the Amazon depend on the forest for their livelihoods and have historically conserved the Amazon forest through their stewardship of the land.
- Programs like Bolsa Floresta provide payments to local communities in exchange for conserving the forest through reduced deforestation, benefiting biodiversity, ecosystem services, and climate change mitigation. The program supports over 6,000 families across 14 conservation units.
Helsinki benefit sharing
This document discusses partnerships for REDD+ programs and benefit sharing arrangements. It finds that effective partnerships are characterized by common expectations, communication, fully bargained agreements, incentives, legal recognition, mutual respect, understanding of conflicts, practicality, self-determination, trust, and verifiable obligations. Context also matters - where communities rely heavily on forests, clear understanding is most important. Benefit sharing arrangements should be open, verifiable, and promote social and economic development through cash payments, assistance, or alternative benefits. Identifying legitimate beneficiaries and mechanisms to transfer benefits requires learning from other experiences and considering transaction costs and capacity.
conservation and low carbon Leonel
Mexico has opportunities to pursue REDD+ conservation and low carbon development. It can build institutional capacity, improve existing programs like payments for ecosystem services, promote sustainable forest management, and improve monitoring of land use change using its national forest inventory. Mexico's GHG emissions include around 10% from land use and forestry, mainly from deforestation and degradation. The country is developing a national REDD+ strategy with implementation at different scales, from community projects to national programs. This will help transition Mexico's forest sector from a source of emissions to a carbon sink through activities like reforestation, sustainable forest management, and payments for environmental services.
Reflection on Pilots Ithompson
The document discusses Brazil's use of pilot projects to test methods for reducing emissions from deforestation and forest degradation (REDD). It notes that pilots must be carefully nested within state, national, and global carbon accounting and regulatory frameworks. Successful pilots engage a variety of stakeholders and address key issues within Brazil like ranching, logging, land ownership and monitoring, reporting and verification of emissions reductions. Pilots are an important part of developing the tools and lessons needed to build large-scale REDD programs.
MatoGrosso Micol
This document discusses building a REDD strategy for Mato Grosso State in Brazil. It provides context on Mato Grosso's geography, economy, and deforestation rates. A process is outlined for developing the state's REDD strategy from 2007-2010, which includes establishing baselines and targets, technical frameworks, programs and projects. Key components of the planned REDD plan are described, such as scope, legal frameworks, and funding strategies. Main challenges are identified, including integrating with federal efforts, adopting technical guidance, and defining a funding strategy.
Indonesia discussion
This document discusses three main topics: policies, institutions and coordinating mechanisms; finances and financial management; and low carbon development strategies. It likely focuses on climate change mitigation and outlines the key factors that need to be addressed at a strategic policy level to support a transition to a low carbon economy and sustainable development.
Global Environment Facility - Ulrich Apel
The Global Environment Facility (GEF) unites 182 member governments and partners to address global environmental issues like biodiversity, climate change, land degradation, and forests. It is the largest financier of forests, investing $1.5 billion to supplement over $4.5 billion in co-financing for over 300 forest conservation and management projects. GEF provides grants to developing countries for sustainable forest management and REDD+ projects that generate multiple environmental benefits. It works through 10 implementing agencies and focuses on reducing deforestation pressures while strengthening policies to reduce emissions and increase carbon sinks from land use.
WWF Forest Carbon (Liliana)
The document discusses WWF's Forest Carbon Initiative (FCI) and its strategy for engaging with REDD+ between 2010-2013. The strategy focuses on 5 components: 1) influencing global REDD+ policy, 2) supporting national REDD+ readiness, 3) implementing early action REDD+ projects, 4) mobilizing REDD+ financing, and 5) developing MRV systems. The goal is to help ensure REDD+ effectively reduces emissions and benefits biodiversity, livelihoods and indigenous peoples' rights.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentationsClimate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
20 Comprehensive Checklist of Designing and Developing a Website
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
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“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
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Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
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Mind map of terminologies used in context of Generative AI
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Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
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GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
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Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
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UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
stickler_modeling_baselines
- 1. Centro de Sensoriamento Remoto UNIVERSIDADE FEDERAL DE MINAS GERAIS Modelling spatially explicit forward-looking baselines Claudia Stickler REDDex, July 13-15, 2010
- 3. Surui (Rondonia indigenous land project)**
- 7. Brazilian Amazon** Used model results not developed for reference level estimation
- 9. MatoGrosso REDD targets within a national program Annual Deforestation (km2)
- 10. Indigenous Lands ~60% of area Protected Areas Sustainable Use Areas ~98% of deforestation Private Lands 508,474 km2 >95% of possible REDD+ participant nations
- 11. Historical average 3.3% = 10,502 ha/yr 2.3% = 216,376 ha/yr 1.3% = 483,380 ha/yr 0.0035% = 3791 ha/yr Nepstad et al. 2010
- 13. High to medium resolution (100-m to 1-km)
- 14. Calibrated and run at nested sub-basin levels
- 15. Regrows forests and cerradoStickler et al. 2009 GCB; Stickler 2009
- 16. Sub-basins (2nd order) Variable types for calibration clearing roads topography population centers streams protected areas soils/suitability
- 17. Basic units of change Microbasins (7th order +) 7572 watersheds mean = 5981 ha range: 1 – 70,766 ha Cells 2940 x 7434 cells 4 ha (200 x 200-m)
- 18. Scenarios Business as Usual historical rate and pattern of deforestation continues historical level of compliance with environmental legislation continues low, high, average varying weight of historical protection of PAs, ILs, etc. Current Forest Code 80% “legal reserve” (RL) in forest biome; 35% RL in cerrado; 100% forest in riparian zone Varying protection of indigenous lands, protected areas State Zoning Plans 4 zones: 80% forest RL in 2 zones; 50% forest RL in 1 zone; 35% cerrado RL in 3 zones; 100% forest in riparian zone Varying protection of indigenous lands, protected areas Stickler 2009; Nepstad et al. 2010
- 19. High Low Nepstad et al. 2010
- 20. Comparison of modeled baselines with historical average, Xingu River Basin Nepstad et al. 2010
- 21. Initial (2007) BAU Average (2037) BAU Low (2037) BAU High (2037)
- 22. Comparison of modeled baselines with policy intervention scenarios Nepstad et al. 2010
- 23. BAU Average (2037) Forest Code (2037) Zoning (2037) Forest Code + 20% in ILs (2037)
- 24. Emissions avoided (Xingu River Basin) Implementation of Forest Code (private lands) & strict protection of ILs and PAs
- 25. Comparison of modeled baselines for private lands in the Xingu River basin Nepstad et al. 2010
- 26. Comparison of modeled baselines for indigenous lands in the Xingu River basin Nepstad et al. 2010
- 27. Nepstad et al. 2010
- 28. Carbon stocks & emissionsonindigenouslands in theBrazilian Amazon Nivel de amenaza Priorización de áreas protegidas Soares-Filho et al. 2010 PNAS
- 29. Modeledbaselinesbased on forest transition? North Amazon Basin Congo Basin South Amazon Basin National forest cover Europe North America South East Asia North East Asia South Asia West Africa Oceania Atlantic forest Time (Zarin et al. 2009)
- 31. Climate
- 32. Water Quality: Basic indicators (Neill et al. 2006, Nepstad et al. 2007; Macedo et al., in prep.)
- 33. Habitat Quality & Biodiversity Potential
- 34. Fire Incidence (and associated CO2 emissions) (Silvestrini et al. 2009, Stickler et al. in prep)
- 36. Opportunity cost
- 39. Sample of REDD-Relevant Publications from Amazon Scenarios Program Merry, F., B. Soares-Filho, D. Nepstad, G. Amacher, and H. Rodrigues. 2009. Balancing conservation and economic stability: the future of the Amazon timber industry. Environmental Management Nepstad, D., B. Soares-Filho, F. Merry, A. Lima, P. Moutinho, et al. 2009. The end of deforestation in the Brazilian Amazon. Science 326: 1350-1351. Nepstad, D, A. Veríssimo, A. Alencar, etal. 1999. Large-scale impoverishment of Amazonian forests by logging and fire. Nature. 398:505-508. Soares-Filho, B. S., P. Moutinho, D. Nepstad, et al. 2010. Role of Brazilian Amazon protected areas in climate mitigation. Proc. Nat. Acad. Sci. Soares-Filho, B., D. Nepstad, L. Curran, et al. 2006. Modeling Amazon conservation. Nature 440: 520-523. Stickler, C.M., D.C. Nepstad, M.T. Coe, D.G. McGrath, H.O. Rodrigues, et al. 2009. The potential ecological costs and cobenefits of REDD: a critical review and case study from the Amazon region. Global Change Biology 15:2803–2824 Vera-Diaz, M. del C., R. K. Kaufmann, D. C. Nepstad, P. Schlesinger. 2007. An interdisciplinary model of soybean yield in the Amazon Basin: the climatic, edaphic, and economic determinants. Ecological Economics
- 41. Lima et al. 2010; Nepstad et al. 2010
- 42. Potential nesting of the Xingu “Socio-environmental Carbon” Project C-REDDs Allocated to Amazon States Mato Grosso C-REDD Allocation C-REDD Allocation to Other States State Institutions/ Governance C-REDD Buffer Private Land Program Protected Area Program Farm Settlement Program Indigenous Land Program 100 MtCO2e $ Regulated Entities, Other Investors Indigenous Land Fund “C-REDDs” Indigenous Land Projects (Xingu, NW, etc.) Mato Grosso Indigenous Land Systemic Program
- 43. Historical average extended into future Nepstad et al. 2010