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Slides used for my talk on privacy & surveillance for the 2012 Crown College core course at UC Santa Cruz. Slide 22 (the Andy Baio pepper spray compilation) was a video in the original, a still image here.
UCSC Talk
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Jamais Cascio
Talk delivered to the Crown College, UC Santa Cruz, first year course on ethics and technology.
Participatory Panopticon - Crown Core Course 2013
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Talk given in Italy in November 2011. What are the kinds of issues we'll be facing over the next 20 years -- and how do we deal with them?
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Games as a way of thinking about climate and climate engineering.
It's all fun and games until somebody wrecks the climate
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My talk at the June 2008 San Francisco "Moodle Moot" conference on education technology.
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Slides used for my talk on privacy & surveillance for the 2012 Crown College core course at UC Santa Cruz. Slide 22 (the Andy Baio pepper spray compilation) was a video in the original, a still image here.
UCSC Talk
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Jamais Cascio
Talk delivered to the Crown College, UC Santa Cruz, first year course on ethics and technology.
Participatory Panopticon - Crown Core Course 2013
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Talk given in Italy in November 2011. What are the kinds of issues we'll be facing over the next 20 years -- and how do we deal with them?
Ready or Not
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Games as a way of thinking about climate and climate engineering.
It's all fun and games until somebody wrecks the climate
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Jamais Cascio
My talk at the June 2008 San Francisco "Moodle Moot" conference on education technology.
The Future of Education
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Presentation for SoCap11.
A New Kind of Eden
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Mobile Intelligence
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Morning keynote presentation at the 2010 Earthquake Engineering Research Institute annual meeting. Focus is on futures thinking tools, along with an overview of key drivers for the next few decades.
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Slides for talk given at Amplify09 in Sydney, Australia.
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Slides used at FUTURESONIC 2009 presentation.
Hacking the Earth
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Slides for presentation given at Bay Area AI Meetup on March 22, 2009.
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Slideshare-friendly version of the talk I gave at the Global Catastrophic Risks conference in November 2008.
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My presentation at the Global Catastrophic Risks conference in Mountain View, CA, in November 2008.
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Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
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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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What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?
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Crossing the Green Bridge (talk at Astana Economic Forum)
1.
crossing the green
bridge Jamais Cascio Astana Economic Forum V May 24, 2012
2.
3.
4.
5.
networks and information
6.
bioengineering
7.
atoms and bits
8.
9.
Approval for genetic
intervention Jamais Cascio cascio@openthefuture.com Twitter:@cascio © 2010 Institute for the Future. All rights reserved. | SR-1294 9 81
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