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🎥About This Video:
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Welcome to the Almighty Portal’s Film The World Podcast! Join Trick O’Moore(Will Moore) as they explore insightful and thought-provoking topics in pop culture. In each episode, we guide you on a journey of self-discovery and meaningful reflection. If you're ready to make a positive change in your life and uncover genuine truths, this video is for you!
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⏰Timecode:
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00:00:00 – Opening & Manifested Talk
00:00:37 – Season’s Direction
00:01:24 – Language & Bias Concept
00:02:32 – Language in Public Discourse
00:03:40 – Manifesting & Communication
00:04:29 – History of Language
00:06:12 – Song and Tone
00:07:13 – Language & UAP Analysis
00:08:21 – Blog & Social Plans
00:09:08 – Language as Bricks
00:09:36 – Language Consistency
00:10:36 – Language as Technology
00:11:04 – 1961 Turning Point
00:14:10 – Language Evolution
00:16:51 – Baseline for Discussion
00:17:46 – Closing & Daily Plans
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Author: LaPhezz

In this podcast, we explore the revolutionary approach to game strategy through DeepMind's AlphaGo system and reinforcement learning. Artificial intelligence (AI) has undergone significant advancements, and DeepMind's AlphaGo system stands out among its peers for its contributions to the development of gaming strategy.

We take a deep dive into the evolution of game strategy and how sophisticated algorithms are fueling advanced gaming systems like AlphaGo. The rise of AI has had a monumental impact on the gaming industry, and we see one of the most noteworthy developments in DeepMind's AlphaGo system.

In this podcast, we introduce AlphaGo and its key strength, its ability to learn from experience. It uses reinforcement learning techniques to analyze its performance and make adjustments accordingly. AlphaGo's success is unparalleled, and it has piqued the interest of both gamers and computer scientists.

We also delve into how scientists have incorporated reinforcement learning into the field of artificial intelligence, programming algorithms to learn and adapt based on trial and error. AlphaGo's reinforcement of learning showed potential not only for gaming strategy but also for application across other industries such as healthcare diagnosis and autonomous cars, among others.

Join us in this podcast, where we discuss AlphaGo's successes and challenges, how it learned, and its potential application in other industries. Follow us using the hashtags #AlphaGo #DeepMind #ReinforcementLearning #GameStrategy #AI #MachineLearning.

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#ComputerVision #DeepLearning #AlexNet #NeuralNetworks #MachineLearning #AI #ImageRecognition

By: LaPhezz

In this episode, we will take a deep dive into the groundbreaking work done by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton in developing AlexNet, a convolutional neural network model that revolutionized the field of computer vision. We will explore how AlexNet dramatically improved image recognition accuracy, introduced new techniques for improving the training performance of deep networks, and paved the way for modern deep learning models.

The podcast will cover how deep learning techniques have evolved in computer vision from simply identifying objects in an image to performing complex tasks like facial recognition and autonomous driving. We will also examine how AlexNet's unique architecture design with eight layers of interconnected nodes helped it achieve record-breaking accuracy on image classification benchmarks.

Moreover, we will discuss how convolutional neural networks (CNNs) work, their strengths in detecting low-level edges, textures, and shapes while building hierarchical representations towards higher-level semantics such as object recognition, and how CNNs are designed to recognize patterns and features within images.

Finally, we will explore the impact that AlexNet has had on the field of computer vision and how it has inspired follow-up research initiatives aimed at improving upon its design principles. Listeners will come away with a greater understanding of how deep learning algorithms like AlexNet are transforming the way machines perceive and process visual data.

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#DartmouthWorkshop #AI #ArtificialIntelligence #MachineLearning #FoundingFathersOfAI #LISP #DeepLearning #NeuralNetworks #AIApplications #Technology #Ethics #PrivacyIssues #History #ComputerScience #ImpactOnSociety

By: LaPhezz

Join us in exploring the history behind the groundbreaking Dartmouth Workshop 1956, a two-month event that brought together some of the brightest minds in computer science and related fields to discuss the possibility of machines replicating human intelligence. The discussions and debates that took place during this workshop laid the foundation for modern AI research, leading to advancements in industries such as finance, healthcare, and manufacturing. Discover the founding fathers of AI, the birth of the AI concept, and the impact of the Dartmouth Conference Report on AI research. From theory to practice, learn about AI applications and the technology's impact on society, including ethical concerns such as privacy issues. Follow us as we delve into the historical workshop that paved the way for modern-day AI.

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#AI #cybernetics #1943 #originsofAI #AIhistory

By: LaPhezz

In this podcast episode, we explore the origins of Artificial Intelligence (AI) and how Cybernetics, a field of study that emerged in the early 1940s, played a crucial role in shaping modern-day AI. We take a closer look at how cybernetic researchers theorized about AI, paving the way for machines and humans to interact and communicate. We discuss the contributions of Norbert Wiener, a mathematician, philosopher, and scientist, who pioneered the concept of "feedback loops," a cornerstone of both AI and modern communication systems. We also talk about the first steps towards machine learning and the development of an artificial neural network. Additionally, we delve into cybernetics' impact on the human-machine interface, including the development of natural language processing and speech algorithms. Finally, we discuss cybernetics' role in robotics, exploring new ways to create devices that respond to user input and adapt their behavior based on feedback, leading to revolutionary advancements in automation, robotics, cognitive science, neurology, and other fields.

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Welcome to New Season! Join me as I traverse the news in an attempt to understand the meaning of life and look for UAP's.

Stay tuned for Episode 2!

Thanks for your support.

Much Love,
Trick O'Moore

Credits:
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Trick O'Moore

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#UAP #UFO #Boblazar #area51 #S4

Bob Lazar & George Knapp’s Dreamland
Bitchute, Odysee, Peertube, Rumble & YouTube

Audible & Amazon

Welcome to episode 2! Today we take a closer look at the Groom Lake story of Area 51 vs S4. We begin our on this history of the propulsion expert Bob Lazar! As a point of house-keeping, please find our research notes at the following link.

We will continue to research the history of Groom Lake and keep building data so we can cross reference at a future date.

Please do not hesitate to reach out or give feedback! We are looking to cross reference as much data and facts as possible!

Thank you!

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Father Bliss

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Thank you and enjoy yourself!

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