Mikael Skou Andersen Presentation - The Porter Hypothesis at 20: Can Environmental Regulation Enhance Innovation and Competitiveness? June 2010
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The document discusses the Porter hypothesis, which posits that environmental regulations can promote competitiveness by directing attention to resource inefficiencies and fostering innovation. It provides data on the effects of environmental tax reform in European countries from 1995-2003, showing it reduced fuel demand and greenhouse gas emissions while having little negative impact on GDP and employment. The evidence supports the idea that revenue recycling from carbon taxes can offset economic costs and that such taxes may spur innovation more than energy price increases alone.
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The document summarizes Alberta's efforts to accelerate clean technology and innovation to reduce greenhouse gas emissions. It discusses Alberta's Climate Leadership Plan which focuses on implementing carbon pricing, phasing out coal-generated electricity, limiting oil sands emissions, and reducing methane emissions. The plan will invest $9.6 billion over 5 years in renewable energy, green infrastructure, energy efficiency, and technology diversification to create economic opportunities and meet climate targets.Brendan Haley, Post-Doctoral Research Associate, Sustainable Prosperity
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This document summarizes a presentation on opportunities for clean energy cooperation across North America. It discusses existing climate policies and leadership in California, Mexico, and some Canadian provinces. There is potential to scale up regional collaboration on carbon pricing mechanisms, clean technology innovation, and sustainable infrastructure. Key challenges include the lack of federal climate policy in Canada and the US, but subnational governments and initiatives show promising ways forward for a prosperous low-carbon economy across the continent by 2050.Billy Pizer, Sanford School of Public Policy and Nicholas Institute for Envir...
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This document summarizes the key differences between state cap-and-trade programs and a federal carbon pricing program. It notes that state programs like California's and RGGI generate billions in annual revenue from auctioning emissions allowances. However, a federal carbon price could reduce revenues for state programs by meeting part of the overall carbon price. The document also cautions that a carbon tax may only qualify as "fiscal reform" if paired with broader tax changes, otherwise it risks being seen as just another tax.Bill Hohenstein, Director, Climate Change Program Office, United State Depart...
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The USDA has set a target to reduce greenhouse gas emissions from the agriculture and forestry sectors by 120 million metric tons of carbon dioxide equivalent annually by 2025. This target is part of the US commitment to reduce overall national emissions by 26-28% below 2005 levels. The USDA will pursue this target through a set of "building blocks" that promote practices like soil health, grazing land management, forest conservation, and use of wood products to both reduce emissions and increase carbon storage in lands and forests. Key strategies include partnerships with industry and producers to adopt practices voluntarily with incentive programs. Progress will be measured quantitatively toward specific goals in each building block area.More from Sustainable Prosperity (20)
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Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
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Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.Recently uploaded (20)
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zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
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Mikael Skou Andersen Presentation - The Porter Hypothesis at 20: Can Environmental Regulation Enhance Innovation and Competitiveness? June 2010
- 4. Green innovation and demand: (Enevoldsen et. al. 2009)
- 5. Environmental tax reform (ETR) revenue as a share of GDP (1995-2003) Denmark 1,1% Finland 0,6% Germany 0,8% Netherlands 0,5% Sweden 0,9% UK (CCL) 0,1%
- 6. Effect of ETR on total fuel demand Note(s) : % difference is the difference between the base case and the counterfactual reference case. Source(s) : CE. Denmark Germany % difference from baseline
- 7. Effect of ETR on total fuel demand Note(s) : % difference is the difference between the base case and the counterfactual reference case. Source(s) : CE. Denmark UK Germany Finland % difference
- 8. Effect of ETR on total fuel demand Note(s) : % difference is the difference between the base case and the counterfactual reference case. Source(s) : CE. Denmark Slovenia UK Germany Finland % difference
- 9. Effect of ETR on total fuel demand Note(s) : % difference is the difference between the base case and the counterfactual reference case. Source(s) : CE. Denmark Slovenia UK Germany Finland Sweden % difference
- 10. Effect of ETR on total fuel demand Note(s) : % difference is the difference between the base case and the counterfactual reference case. Source(s) : CE. Denmark Netherlands Slovenia UK Germany Finland Sweden % difference
- 11. Effect of ETR on GHG emissions Denmark Netherlands Slovenia Germany Finland Sweden Note(s) : % difference is the difference between the base case and the counterfactual reference case. Source(s) : CE. UK % difference
- 12. The Effect of ETR on Employment Denmark UK Germany Sweden Note(s) : % difference is the difference between the base case and the counterfactual reference case. Source(s) : CE. % difference
- 13. Effect of ETR on GDP Denmark Netherlands Slovenia UK Germany Finland Sweden Note(s) : % difference is the difference between the base case and the counterfactual reference case. Source(s) : CE. % difference
- 14. Without Revenue Recycling: Effect of ETR on GDP Denmark Netherlands Germany Finland Sweden % difference Note(s) : % difference is the difference between the base case and the no revenue recycling case. Source(s) : CE.
- 19. Thanks for your attention