Green Vision Biomimicry

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Richard James MacCowan's presentation to Green Vision conference on Sustainable Materials in Leeds on 12 December 2012.

Technology

Biomimicry UK
Richard James MacCowan
Co-founder

Image source: Chris Hobson (Leeds Metropolitan University)

Fossil Fuels

@Biomimicry_UK
Image source: ribarnica @ Flickr.com

Climate Change

@Biomimicry_UK
Image source: CorpsNewEngland @ Flickr.com

What?

@Biomimicry_UK
Image source: Asknature.org

Who?

@Biomimicry_UK
Image source: Asknature.org

Where have we seen it?

@Biomimicry_UK
Image source: Asknature.org

Why?

@Biomimicry_UK
Image source: Asknature.org

How?

@Biomimicry_UK
Image source: www.inhabitat.com

The Challenges

@Biomimicry_UK
Image source: R J MacCowan (Leeds Metropolitan University

The network

@Biomimicry_UK
Image source: HOK Network @ Flickr.com

Academia + Practice

@Biomimicry_UK
Image source: HOK Network @ Flickr.com

Co-operation

@Biomimicry_UK
Image source: Asknature.org

Communication

@Biomimicry_UK
Image source: Dave Govoni@ Flickr.com

Design Champions

@Biomimicry_UK
Image source: fugm10 @ Flickr.com

23/01/13 - Leeds
Metropolitan

@Biomimicry_UK
Image source: Aiden Whiteley @ Flickr.com

Journal

@Biomimicry_UK
Image source: hitsthatwitch @ Flickr.com

Learning

@Biomimicry_UK
Image source: Richard Forward @ Flickr.com

The Present

@Biomimicry_UK
Image source: Praziquantel @ Flickr.com

The Future...

@Biomimicry_UK
Image source: virtialwayfarer @ Flickr.com

IMAGINE a world where the war against the EARTH is over.
Where carbon emissions are steadily DECLINING

...and GLOBAL CLIMATE has stabilised.
Where successful industries take nothing, WASTE NOTHING and do no
harm.
Image the POWER of all of us together to make it so.
Image source: adapted from www.rmi.org The Rocky Mountain Institute

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

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Green Vision Biomimicry

1. Biomimicry UK Richard James MacCowan Co-founder Image source: Chris Hobson (Leeds Metropolitan University)

2. Fossil Fuels @Biomimicry_UK Image source: ribarnica @ Flickr.com

3. Climate Change @Biomimicry_UK Image source: CorpsNewEngland @ Flickr.com

4. What? @Biomimicry_UK Image source: Asknature.org

5. Who? @Biomimicry_UK Image source: Asknature.org

6. Where have we seen it? @Biomimicry_UK Image source: Asknature.org

7. Why? @Biomimicry_UK Image source: Asknature.org

8. How? @Biomimicry_UK Image source: www.inhabitat.com

9. The Challenges @Biomimicry_UK Image source: R J MacCowan (Leeds Metropolitan University

10. The network @Biomimicry_UK Image source: HOK Network @ Flickr.com

11. Academia + Practice @Biomimicry_UK Image source: HOK Network @ Flickr.com

12. Co-operation @Biomimicry_UK Image source: Asknature.org

13. Communication @Biomimicry_UK Image source: Dave Govoni@ Flickr.com

14. Design Champions @Biomimicry_UK Image source: fugm10 @ Flickr.com

15. 23/01/13 - Leeds Metropolitan @Biomimicry_UK Image source: Aiden Whiteley @ Flickr.com

16. Journal @Biomimicry_UK Image source: hitsthatwitch @ Flickr.com

17. Learning @Biomimicry_UK Image source: Richard Forward @ Flickr.com

18. The Present @Biomimicry_UK Image source: Praziquantel @ Flickr.com

19. The Future... @Biomimicry_UK Image source: virtialwayfarer @ Flickr.com

20. IMAGINE a world where the war against the EARTH is over. Where carbon emissions are steadily DECLINING ...and GLOBAL CLIMATE has stabilised. Where successful industries take nothing, WASTE NOTHING and do no harm. Image the POWER of all of us together to make it so. Image source: adapted from www.rmi.org The Rocky Mountain Institute

Green Vision Biomimicry

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