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Alan Doherty

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The last ice sheet to completely cover Scotland (the Devensian ice sheet) began to melt and its margins retreat about 20,000 years ago as summer sunlight in the northern hemisphere increased. Over the following 10,000 years, the average global temperature rose by 3.50C and most of the Devensian ice sheet melted in the “Great Thaw”. In Scotland, however, a seemingly contradictory readvance of the ice took place. Around 12,900 years ago, the temperatures in Scotland plummeted and remained low for about 1300 years. This glacial period, known as the Younger Dryas, is thought to have been caused by huge quantities of meltwater escaping into the North Atlantic and closing down the North Atlantic Ocean Conveyor. The evidence for this readvance was first analysed and appreciated in the broad hummocky lowlands to the south of Loch Lomond and this became the type area for the readvance .

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A more complete suite of slides is available on Flickr at http://www.flickr.com/photos/geojuice/sets/72157628719699499/ Getting really fed up with the uneven playing field so thinking of making them all into videos and using Vimeo as a more stable and realistic platform. Let me know what you think on Flickr. Now if the Guardian got rid of their stupid headers and footers.... Anyway enjoy this one if you are a geographer, geologist or just interested in our planet.

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Musings on the changing character of Britain's cultural landscape. It is a plea to the retail shed builders to look at themselves and begin to respect their potential customers. It is a warning to the potential customers of ASP-Host and Web Solutions. It is a plea to the Law Society to put the upholding of the law at the top of their agenda rather than the protection of their cartel. The presentation is amusing yet serious. If you like it, spread the word and pass it on. Thanks. Twucwuc land is a new acronym for scamland. WULs have been around for a while. Fast-buck Britain and Buckfast Britain are the same place. An invoice reminder should be an invoice reminder and should never be post-dated. Take care on your journey.

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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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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

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