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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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Histor y of HAM Radio presentation slide
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Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
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Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
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How to Troubleshoot Apps for the Modern Connected Worker
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🐬 The future of MySQL is Postgres 🐘
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
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Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
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Tata AIG General Insurance Company - Insurer Innovation Award 2024
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Real Time Object Detection Using Open CV
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A Year of the Servo Reboot: Where Are We Now?
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TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
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How to Troubleshoot Apps for the Modern Connected Worker
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
Inclusive Leadership
1.
INCLUSIVE LEADERSHIP
2.
LEGACY OF FAILURE
3.
ENTITLEMENT A leader’s natural
tendency is to shelter people from risk.
4.
GRAB YOUR CAPE
5.
YOUR SUPERHERO POWER Your
power is that you are willing to admit you made not have all the answers and you’re not afraid of having an inclusive leadership style.
6.
BARFING DOWNHILL
7.
TOP DOWN COMMUNICATION A
lack of input leads to less understanding and more apathy.
8.
TRUTH SEEKING
9.
THE SECRET TO
SCALE Seeking truth is the only way to find real value and long term success.
10.
THANK YOU @hayesdrumwright popinnow.com
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