Artificial general intelligence (AGI) promises to unlock unbelievable new capabilities, from AI that can reason across domains to the potential for runaway self-improvement. This video explores the rise of AGI, visions of the singularity, and the long-term implications of advanced AI systems that may one day far surpass human-level intelligence.
We define AGI and consider predictions about when it could emerge, from futurists like Ray Kurzweil who foresee the singularity as early as the 2030s. But perhaps more importantly, what ethical precautions should guide AGI development? How can we ensure advanced AI aligns with human values and avoids existential catastrophe?
This video delves into the possibilities and perils of merging biological and nonbiological intelligence, and whether we could ever fully align an AI's goals with our own complex values. We contemplate whether uncontrolled AGI could view humanity as atoms to be used for a different purpose. But with diligence and wisdom, perhaps we can harness AI's potential as a force for good, ending disease, hunger, and environmental destruction.

Video Title: Are We Ready for Artificial General Intelligence? The Coming Of AGI

#agisimplyexplained #whatisagi #understandingagi #artificialgeneralintelligenceexplained #agideinition #agiexplained #agiconcept #agifuture #agitechnology #agibenefits #agirisks

As we stand at the threshold of superintelligent machines, we must thoughtfully shape the institutions that will guide the next phase of our civilization. Join us for an expansive look at artificial general intelligence and technological singularity. How humanity navigates this transition may determine our destiny across the stars.

Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research.

Copyright Notice:
Video clips used here under fair use for educational purposes.
Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.

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https://www.youtube.com/watch?v=kUUjMzVGXpE&t=12s

👉 Ameca's Mind-blowing Drawing Skills Revealed! OpenAI's Neo Robot Launched
https://www.youtube.com/watch?v=XC9jiCOCU3o

=============================

✅ About AI Tech Academy.

Welcome to AI Tech Academy!

We are your go-to source for all the latest news, trends and insights into the world of Artificial Intelligence and Technology. Our mission is to make AI and technology more accessible to everyone. We create content to educate, inform, and entertain viewers on the topics of AI and tech. Our videos cover everything from AI tutorials to tech product reviews. We also discuss the implications and potential of AI in the future.

Our goal is to make AI and technology more understandable and accessible to everyone. Through our videos, we hope to empower viewers to become more informed about the potential of AI and tech and to become active participants in shaping its future.

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🔥DevOps Engineer Masters Program: https://www.edureka.co/masters....-program/devops-engi

In this video, *DevSecOps Interview Questions and Answers* , we’ll cover the essential DevSecOps Interview Questions and Answers to help you excel in any DevSecOps role. From foundational security principles to advanced DevSecOps practices, we tackle questions about integrating security into CI/CD pipelines, container security, vulnerability management, and key tools like Docker, Kubernetes, and security scanners. You'll not only learn how to craft compelling answers but also understand the critical reasoning behind them, equipping you to stand out in your interviews. Whether you’re new to DevSecOps or a seasoned professional, this video is your ultimate guide to mastering DevSecOps interviews. Don’t forget to like, share, and subscribe for more insightful content!

✅ 02:28 - Use Case
✅ 08:04 - Why DevSecOps?
✅ 08:50 - What is DevSecOps & What is stands for?
✅ 10:09 - What are the benefits of DevSecops?
✅ 11:12 - DevSecOps vs. DevOps
✅ 14:37 - What are the Components of DevSecOps?
✅ 16:07 - What are the best practices of DevSecOps?
✅ 17:24 - What are common DevSecOps tools?
✅ 18:39 - What are the challenges of implementing DevSecOps?
✅ 19:42 - DevSecOps Culture
✅ 20:51 - How does DevSecOps work?

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- - - - - - - - - - - - - -
What is the difference between DevSecOps vs DevOps?


DevOps and DevSecOps share the goal of streamlining software delivery, but they differ in their focus and approach. DevOps emphasizes collaboration between development and operations teams to ensure fast and reliable software delivery. Security in DevOps is often treated as a separate phase or addressed later in the development lifecycle. In contrast, DevSecOps integrates security into every stage of the DevOps process, adopting a ""shift-left"" approach where security is a shared responsibility across development, security, and operations teams.
- - - - - - - - - - - - - -

Who should take this course:

Software Developers looking to streamline development and deployment.
IT Operations Professionals wanting to integrate with development teams.
QA Engineers seeking to automate testing within CI/CD pipelines.
System Administrators interested in managing infrastructure as code.
DevOps Enthusiasts eager to learn the latest tools and practices.
Students/Freshers wanting to start a career in IT and DevOps.
- - - - - - - - - - -- - - - --

Prerequisites for DevOps Course:

Basic programming knowledge (Python, Java, etc.)
Understanding of Linux/Unix systems
Familiarity with version control (Git)
Basic networking concepts
Awareness of cloud platforms (AWS, Azure, etc.)
Knowledge of the software development lifecycle
Willingness to learn and adapt.


For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

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In this video on What Is Agile, we'll cover every concept you need to know to understand Agile.
In this video, we'll be covering concepts like:
00:00 Introduction
03:52 The Waterfall Model
07:05 What is Agile?
13:03 Agile Principles
22:24 What are the Advantages of Agile?
26: 25 Agile Methodologies
Without further ado, let's jump in and learn about Agile.

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#Agile #WhatIsAgile? #AgileMethodology #WhatIsAgileMethodology? #Scrum #XP #Learn #Kanban #AgileScrumTraining #Simplilearn

➡️ Certified ScrumMaster® (CSM) Certification Training Course
This CSM certification course is focused on providing an improved understanding of Scrum methodologies and their implementation. It helps you become a Certified ScrumMaster®, a designation offered by Scrum Alliance to practitioners who have successfully completed a CSM certification course & demonstrate their understanding by passing the exam.

✅ Key Features
- 2 Days of Online Virtual Class
- CSM® exam fee included
- Get trained by globally acclaimed Certified Scrum Trainers (CSTs) with Free Exam Retake
- 20 PDUs and 16 SEUs
- Two-year membership in Scrum Alliance
- Complimentary access to 15 courses* worth INR 25,000

✅ Skills Covered
- Scrum and Agile methodologies
- Importance of Agile
- Scrum lifecycle
- Scrum terminologies
- Daily scrum and review
- Roles involved in Scrum
- Distributed Scrum

👉Learn More at: https://www.simplilearn.com/agile-and-scrum/csm-certification-training?utm_campaign=WhatisAgile-wmJfx7zAfQI&utm_medium=Descriptionff&utm_source=youtube

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In this episode I break down my favorite song by a band that everyone hates.

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This is the biggest, brightest, hottest video there is about the science of fireworks. This video is brought to you by Kiwico – go to https://kiwico.com/veritasium for your first month free!

If you're looking for a molecular modeling kit, try Snatoms - a kit I invented where the atoms snap together magnetically: https://snatoms.com

Check out Gene’s channel here -- @PotatoJet

Massive thanks to Mike Tockstein from Pyrotechnic Innovations @PyroInnovations
and Will Scott from Las Vegas Display Fireworks Inc, for all your pyro knowledge and keeping us safe.

▀▀▀
Massive thanks to Gene Nagata from PotatoJet for filming this episode – check out his wonderful channel for more videos about cameras and FPV drones.

Thanks to Brandon Williams for helping with the chemistry and sourcing of materials.

Thanks to Matthew Tosh for the help with the chemistry conversation about fireworks.

Thanks to Simon Werrett for the help with the history of fireworks.

▀▀▀
Werrett, S. (2010). Fireworks: pyrotechnic arts and sciences in European history. University of Chicago Press

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Special thanks to our Patreon supporters:
Emil Abu Milad, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., john kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Sam Lutfi.

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Additional video/photos supplied by Mike Tockstein/Pyrotechnic Innovations
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Produced by Derek Muller, Petr Lebedev, Emily Zhang, & Casper Mebius

A few years ago Veritasium posted a video portraying 'molecular machines'. But is that really the right way to think about the inner workings of our cells? Are we all just running on molecular clockwork?

Dan's paper (must read!): https://philpapers.org/archive/NICITC.pdf

Twitter: https://twitter.com/subanima_
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Website (and mailing list): https://subanima.org

SOURCES + FURTHER READING:
https://www.subanima.org/veritasium/

CORRECTIONS:

6:11 - I should have said “parts of the ribosome” (certain ribosomal proteins) moonlight in the nucleus not the whole ribosome itself.

#veritasium #cell

Learn how to build smart AI workflows with N8N: automate tasks, connect apps, and deploy AI agents.

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00:39:06 — Inbox Manager overview
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🔥Post Graduate Program In Cyber Security: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=KaliLinuxTutorialFor2022&utm_medium=Descriptionff&utm_source=youtube

In this video on Kali Linux Tutorial for 2022, we cover the basics of Kali Linux as an OS for penetration testing and ethical hacking. We have made it a beginner's guide to Kali Linux with explanations on how to install Kali Linux, detailed demos about the different types of network security attacks, as well as the rival operating system that is parrot security OS.

What Is Kali Linux?
Features of Kali Linux
Ways to Install Kali Linux
Introduction to Parrot Security OS
Features of Parrot Security and Kali Linux
How to Install Kali Linux on VMware?
Five Stages of Penetration Testing
Best Tools for Kali Linux
Linux Terminal Basics
Setting Up Proxy Chains
Running N-Map Scans
Wireshark Sniffing
Metasploit Hands-On
Gaining Root Access from Windows 10
What Is Kali NetHunter?
Versions and Features of NetHunter
Pros & Cons of Kali NetHunter

🔥 Explore our FREE Courses with Completion Certificates : https://www.simplilearn.com/free-linux-foundation-course-skillup?utm_campaign=KaliLinuxTutorialFor2022&utm_medium=Description&utm_source=youtube

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➡️ About Post Graduate Program In Cyber Security

This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.

✅ Key Features

- Simplilearn Post Graduate Certificate
- Masterclasses from MIT Faculty
- Featuring Modules from MIT SCC and EC-Council
- 8X higher interaction in live online classes conducted by industry experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Industry case studies in cyber security
- Access to CEH Pro Version
- 25+ hands-on projects
- Capstone project in 3 domains
- MIT CSAIL Professional Programs Community

✅ Skills Covered

- Advanced Hacking Concepts
- Network Packet Analysis
- Ethical Hacking
- IDS Firewalls and Honeypots
- Security and Risk Management
- Network Security
- Software Development Security
- Cryptography OSI and TCPIP Models
- Identity and Access Management
- Security Assessment and Testing
- Trojans Backdoors and Countermeasures
- Mobile and Web Technologies

✅ Enroll Now: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=KaliLinuxTutorialFor2022&utm_medium=Description&utm_source=youtube

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In this video by Simplilearn, I dive into what ChatGPT search is and how it works, providing a clear explanation of its features. I also take you through the different subscription plans available for ChatGPT search, helping you understand which option might be the best fit. Finally, we explore the various ways you can use ChatGPT search to enhance your experience and make the most of this powerful tool.

00:00:04 - Introduction
00:00:19 - What is ChatGPT Search?
00:01:26 - Demo

ChatGPT search is a tool that allows you to search the web using the power of ChatGPT. Instead of just showing links, it provides direct, conversational answers to your questions, much like chatting with an intelligent assistant. It’s designed to help you find information faster and more efficiently, offering insights and details from across the internet in a way that's easy to understand.
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#ChatgptSearch #GenAI #ArtificialIntelligence #aicourse #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=nUfO9H5mGFo&utm_medium=Description&utm_source=Youtube

A light intro to LLMs, chatbots, pretraining, and transformers.
Dig deeper here: https://www.youtube.com/playli....st?list=PLZHQObOWTQD
Technical details as a talk: https://youtu.be/KJtZARuO3JY
This was made for an exhibit at the Computer History Museum: https://computerhistory.org/
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support

No secret end-screen vlog for this one, the end-screen real estate was all full!

------------------

These animations are largely made using a custom Python library, manim. See the FAQ comments here:
https://3b1b.co/faq#manim
https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/

All code for specific videos is visible here:
https://github.com/3b1b/videos/

The music is by Vincent Rubinetti.
https://www.vincentrubinetti.com
https://vincerubinetti.bandcam....p.com/album/the-musi
https://open.spotify.com/album..../1dVyjwS8FBqXhRunaG5

------------------

3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly.

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🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Statistics For Machine Learning' is the second class in the Python Machine Learning Series which gives a brief introduction to Statistics and Probability for Machine learning.

🟠 𝐂𝐥𝐚𝐬𝐬 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞 🟠

[𝗦𝗮𝘁𝘂𝗿𝗱𝗮𝘆 - 𝟭𝟱𝘁𝗵 𝗔𝘂𝗴𝘂𝘀𝘁]
Class 1 - Introduction To Machine Learning
Class 2 - Statistics For Machine Learning
Class 3 - Data Exploration 1 - ETL
Class 4 - Data Exploration 2 - Visualization
Class 5 - Data Exploration 3 - Data Cleaning
[𝐒𝐮𝐧𝐝𝐚𝐲 - 𝟏𝟔𝐭𝐡 𝐀𝐮𝐠𝐮𝐬𝐭]
Class 6 - Data Modeling 1 - Feature Engineering
Class 7 - Data Modeling 2 - Training The Model
Class 8 - Data Modeling 3 - Model Evaluation
Class 9 - Machine Learning Example
Class 10 - Advanced Machine Learning

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s

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#Edureka #PythonEdureka #pythonML #pythonMLseries #statisticsforML #pythonprojects #pythonprogramming #pythontutorial #PythonTraining #learnPython
--------------------------
How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language and many more.
--------------------------
Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms.
--------------------------
Who should go for this Machine Learning Certification Training using Python?
- Developers aspiring to be a ‘Machine Learning Engineer'
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- 'Python' professionals who want to design automatic predictive models
--------------------------
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775

The blue LED was supposed to be impossible—until a young engineer proposed a moonshot idea. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.

Special thanks to our Patreon supporters! Join this list to help us keep our videos free, forever:
https://ve42.co/PatreonDEB

Huge thanks to the UC Santa Barbara Materials Dept (https://ssleec.ucsb.edu/) for taking us around.
Thanks to Álvaro Bermejillo Seco for reviewing the science.
Thanks to these especially helpful sources:
Nobel Prize Biography - Shuji Nakamura - https://ve42.co/NakamuraNobel
Johnstone, B. (2015). Brilliant!. Prometheus Books. - https://ve42.co/Johnstone2015
Nakamura, S., Pearton, S., & Fasol, G. (2010). The Blue Laser Diode: The Complete Story. Springer. - https://ve42.co/Nakamura2010

▀▀▀
References:
https://www.youtube.com/watch?v=O8M2z2hIbag
https://www.youtube.com/watch?v=TGUteH93xNo
https://www.youtube.com/watch?v=idwKHQEw78g
https://www.youtube.com/watch?v=yoTALRhAqWc
Touchstone, L. A. (2022). Nick Holonyak Jr. University of Illinois. - https://ve42.co/Touchstone2022
Perry, T. S. (1995). The Unsung Inventor. IEEE Spectrum. - https://ve42.co/Perry1995
Chabay, R. & Sherwood, B. (2011). Matter & interactions (4th ed.), S2: Semiconductors. Wiley. - https://ve42.co/ChabaySherwood
How MOCVD Works via Aixtron - https://ve42.co/MOCVD
Vangala, S. R., et al. (2019). Epitaxial growth of ZnSe on GaAs. Journal of Crystal Growth. - https://ve42.co/Vangala2019
Nakamura, S. (1991). GaN Growth Using GaN Buffer Layer. JJAP. - https://ve42.co/Nakamura3rd1991
Amano, H., et al. (1989). P-Type Conduction in Mg-Doped GaN w/ LEEBI. JJAP. - https://ve42.co/Amano1989
Huang, M., et al. (2021). Defects in Mg–H‐Codoped GaN. Physica Status Solidi. - https://ve42.co/Huang2021
Schubert, E. F. (2006). Light Emitting Diodes, Ch 4: LED basics. Cambridge University Press. - https://ve42.co/RPI-LEDs
Kitada, C. (2001). Blue About Japan. Japan Inc. - https://ve42.co/Kitada2001
Whitaker, T. (2002). Nakamura loses Nichia patent battle. Optics.org. - https://ve42.co/NichiaSales3
Pirates Osaka. (2014). Nakamura awarded Nobel Prize in Physics. Hatena Blog. - https://ve42.co/NichiaSales1
Growth Bozu via Twitter. - https://ve42.co/NichiaSales2
Rose, J. (2014). Blue LEDs – Filling the world with new light. The Royal Swedish Academy of Sciences. - https://ve42.co/Rose2014
Pattison, P. M., et al. (2017). LED lighting efficacy. Comptes Rendus Physique. - https://ve42.co/Pattison2017
Electricity pricing via EIA - https://ve42.co/ElectricityPricing
Lane, K., et al. (2023). Lighting. IEA. - https://ve42.co/LightingIEA
LED Footprint via The Climate Group - https://ve42.co/ClimateGroupLED
Nichia’s History via Nichia - https://ve42.co/NichiaHistory
Shuji Nakamura via Wikipedia - https://ve42.co/NakamuraWiki

Images & Video:
Lighting the World via UCTVInsight on YouTube - https://ve42.co/UCTVep2 & https://ve42.co/UCTVep3
Palo Alto Times 1971 Article via Newspapers.com - https://ve42.co/Newspapers
Nick Holonyak, Jr. and the LED via UIUC on YouTube - https://ve42.co/HolonyakIllinois
The Original Blue LED via Science History Institute on YouTube - https://ve42.co/OGBlueLED
Maxfield, M. (2022). Compound Semiconductors. EE Journal. - https://ve42.co/Maxfield2022
M. Stutzmann, et al. (2001). Playing with Polarity. pss (b). - https://ve42.co/Stutzman2001
Isamu Akasaki in 1995 via Andrey Nikolaev on YouTube - https://ve42.co/AsakiNikolaev
Pioneer TX-610 Stereo Tuner via Ian Marino on YouTube - https://ve42.co/StereoMarino
Shuji Nakamura via EPO on YouTube - https://ve42.co/NakamuraEPO
Nichia Campus via Nichia on LinkedIn - https://ve42.co/NichiaHQ
Nichia via TDElektronik on YouTube - https://ve42.co/NichiaTDE
Violeds Sterilization of COVID-19 via Seoul Viosys - https://ve42.co/SterilizationUV

▀▀▀
Special thanks to our Patreon supporters:
Chris Harper, Max Paladino, Balkrishna Heroor, Adam Foreman, Orlando Bassotto, Tj Steyn, meg noah, KeyWestr, TTST, John H. Austin, Jr., john kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Juan Benet, David Johnston, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Sam Lutfi

▀▀▀
Directed by Emily Zhang
Written by Emily Zhang, Ricky Nathvani, and Derek Muller
Edited by Trenton Oliver
Illustrated by Jakub Misiek
Animated by Fabio Albertelli, Mike Radjabov, David Szakaly, Ivy Tello, and Alondra Vitae
Filmed by Derek Muller, Raquel Nuno, and Trenton Oliver
Additional research by Gregor Čavlović
Produced by Emily Zhang, Han Evans, Gregor Čavlović, and Derek Muller

Thumbnail by Ren Hurley
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound

🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=_3ycrEHAzMY&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=_3ycrEHAzMY&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=_3ycrEHAzMY&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=_3ycrEHAzMY&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=_3ycrEHAzMY&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Introduction to Artificial Intelligence Full Course by Simplilearn provides a complete roadmap to mastering AI. It begins with an introduction to artificial intelligence, its future, and essential concepts like machine learning, deep learning, and generative AI. You’ll explore AI careers, the AI engineer roadmap, and how to land a job in this field. Dive into practical tutorials on using AI for coding, creating digital products, and building websites. Advanced topics include transformers, reinforcement learning, Q-learning, and LangChain. You’ll learn about AI bias, multimodal AI, and concepts like LLMs, benchmarking, and running models privately. The course also covers prompt engineering, data analytics with AI, and AI-powered tools like Cursor AI. Additionally, you’ll get hands-on with projects for beginners, including machine learning and AI, and explore top hackathons in India. Finally, you’ll gain insights into interview preparation and how to earn money using tools like ChatGPT.

00:00:00 Introduction To Artificial Intelligence Full Course
00:08:08 Introduction To Artificial Intelligence
00:17:14 Future Of Artificial Intelligence
00:24:13 Deep Learning Tutorial For Beginners
00:36:17 Best Artificial Intelligence Coding tools
00:45:55 Top 10 Technologies To Learn
00:52:37 Artificial Intelligence Careers Tutorial
01:04:31 How Create And Sell Digital Products Using AI
01:05:16 What Is Generative AI
01:15:48 Artificial Intelligence Engineer Roadmap
01:30:53 How To Get A Job In Artificial Intelligence
02:27:30 What Is Machine Learning
02:33:11 AI Bias
02:38:53 Open AI Strawberry
02:45:04 Difference between Artificial Intelligence, Machine Learning, And Deep Learning
02:46:11 Run Lama Privately
02:54:55 Introduction To LLM
03:08:24 LLM Benchmarkeing
03:14:01 Mutimodel Artificial Intelligence
03:33:52 Chatgpt Analyse Tutorial
03:34:53 Transformers In Artificial Intelligence
06:59:07 Reinforcement Learning
06:59:57 Q Learning
07:22:58 Langchain Explained
07:37:26 What Is Prompt Engineering
07:59:49 Data Analytics Using Artificial Intelligence
08:01:31 Cursor AI
10:17:41 Recurrent Neural Network
10:35:26 Machine Learning Projects For Beginners
11:01:07 Build Website With Artificial Intelligence
11:19:18 Confusion Matrix In Machine Learning
11:27:32 Top Hackathons In india
11:40:51 Artificial Intelligence Projects With Source Code For Beginers
11:46:00 Generative AI Tools For Job Interview
13:41:50 Artificial Intelligence and Deep learning Interview Questions
13:42:50 How To Earn Money Using ChatGPT

✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

https://www.reddit.com/r/Simpl....iLearn/comments/1bpr

#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #Simplilearn

➡️ About Post Graduate Program In AI And Machine Learning

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's Job Assist helps you get noticed by top hiring companies

👉Learn more at- https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=_3ycrEHAzMY&utm_medium=Description&utm_source=Youtube

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=QTYkoK_ty7M&utm_medium=Lives&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=QTYkoK_ty7M&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=QTYkoK_ty7M&utm_medium=Lives&utm_source=Youtube

This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

Following are the topics covered in the Generative AI Full Course 2025:

00:00:00 - Introduction to Gen AI Full Course 2025
00:00:45 - What is Gen AI
00:11:24 - Roadmap Gen AI
01:16:27 - What is Machine Learning
01:23:26 - Deep Learning
01:24:50 - Introduction to LLM
01:47:32 - What are Gen AI Agents
02:24:34 - Agentic AI
03:21:06 - Machine Learning Tutorial
05:26:29 - Reinforcement Learning
05:42:34 - Deepseek r1
05:53:47 - Install Deepseek
06:44:30 - Hugging Face and its tutorial
06:52:47 - Search GPT
06:55:02 - Langchain
07:51:37 - Generative Adversarial Tutorial
09:21:57 - Introduction to agentic workflow
09:31:19 - What are Gans
09:32:20 - Transformers in AI
09:44:49 - LSTM
10:04:40 - CHatgpt analyse
10:15:36 - Openai sora
10:24:29 - LLM Benchmarkeing
10:39:53 - Open ai chatgpt o1 model
10:48:16 - Google Quantam AI
10:53:49 - Majorana
10:58:58 - Gen ai tools for job interview
12:59:19 - Deep learning Interview questions
13:05:13 - Claude 3 sonnet

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=QTYkoK_ty7M&utm_medium=Lives&utm_source=Youtube

Can we measure memories in networks of neurons in bytes? Or should we think of our memory differently?

Submission to the Summer of Math Exposition 2022 (#SoME2). More information: https://summerofmathexposition.....substack.com/p/the-

Time stamps:
0:00 - Where is your memory?
1:41 - Computer memory in a nutshell
2:58 - Modeling neural networks
4:42 - Memories in dynamical systems
9:54 - Learning
13:36 - Memory capacity and conclusion

Animations largely made using the manim community edition:
https://www.manim.community/

Original Paper on Hopfield Networks:
Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the national academy of sciences, 79(8), 2554-2558.

Neuron image by Santiago Ramón y Cajal, The pyramidal neuron of the cerebral cortex, 1904 Ink and pencil on paper, 8 5/8 x 6 7/8 in. Credit: Cajal Institute (CSIC), Madrid

Music: Aakash Gandhi - "Dreamland"

This is the second of a series of two videos on AI Agents.
In this video, we learn the architecture of agents, the agentic loop, memory, tools, planning, and much more! Including how to go from the static (automation) to the dynamic (autonomy).

First video - Strengths and Weaknesses of LLMs: https://www.youtube.com/watch?v=gGWufx8DTAo

Code labs:
RAG Wikipedia Agent
https://colab.research.google.....com/github/luisguise

Calculator Agent
https://colab.research.google.....com/github/luisguise

Math or Fact Agent
https://colab.research.google.....com/github/luisguise

Learn Calculus 1 in this full college course.

This course was created by Dr. Linda Green, a lecturer at the University of North Carolina at Chapel Hill. Check out her YouTube channel: https://www.youtube.com/channe....l/UCkyLJh6hQS1TlhUZx

This course combines two courses taught by Dr. Green. She teaches both Calculus 1 and a Calculus 1 Corequisite course, designed to be taken at the same time. In this video, the lectures from the Corquisite course, which review important Algebra and Trigonometry concepts, have been interspersed with the Calculus 1 lectures at the places suggested by Dr. Green.

⭐️ Prerequisites ⭐️
🎥 Algebra: https://www.youtube.com/watch?v=LwCRRUa8yTU
🎥 Precalculus: https://www.youtube.com/watch?v=eI4an8aSsgw

⭐️ Lecture Notes ⭐️
🔗 Calculus 1 Corequisite Notes: http://lindagreen.web.unc.edu/....files/2020/08/course
🔗 Calculus 1 Notes: http://lindagreen.web.unc.edu/....files/2019/12/course

⭐️ Course Contents ⭐️
(0:00:00) [Corequisite] Rational Expressions
(0:09:40) [Corequisite] Difference Quotient
(0:18:20) Graphs and Limits
(0:25:51) When Limits Fail to Exist
(0:31:28) Limit Laws
(0:37:07) The Squeeze Theorem
(0:42:55) Limits using Algebraic Tricks
(0:56:04) When the Limit of the Denominator is 0
(1:08:40) [Corequisite] Lines: Graphs and Equations
(1:17:09) [Corequisite] Rational Functions and Graphs
(1:30:35) Limits at Infinity and Graphs
(1:37:31) Limits at Infinity and Algebraic Tricks
(1:45:34) Continuity at a Point
(1:53:21) Continuity on Intervals
(1:59:43) Intermediate Value Theorem
(2:03:37) [Corequisite] Right Angle Trigonometry
(2:11:13) [Corequisite] Sine and Cosine of Special Angles
(2:19:16) [Corequisite] Unit Circle Definition of Sine and Cosine
(2:24:46) [Corequisite] Properties of Trig Functions
(2:35:25) [Corequisite] Graphs of Sine and Cosine
(2:41:57) [Corequisite] Graphs of Sinusoidal Functions
(2:52:10) [Corequisite] Graphs of Tan, Sec, Cot, Csc
(3:01:03) [Corequisite] Solving Basic Trig Equations
(3:08:14) Derivatives and Tangent Lines
(3:22:55) Computing Derivatives from the Definition
(3:34:02) Interpreting Derivatives
(3:42:33) Derivatives as Functions and Graphs of Derivatives
(3:56:25) Proof that Differentiable Functions are Continuous
(4:01:09) Power Rule and Other Rules for Derivatives
(4:07:42) [Corequisite] Trig Identities
(4:15:14) [Corequisite] Pythagorean Identities
(4:20:35) [Corequisite] Angle Sum and Difference Formulas
(4:28:31) [Corequisite] Double Angle Formulas
(4:36:01) Higher Order Derivatives and Notation
(4:39:22) Derivative of e^x
(4:46:52) Proof of the Power Rule and Other Derivative Rules
(4:56:31) Product Rule and Quotient Rule
(5:02:09) Proof of Product Rule and Quotient Rule
(5:10:40) Special Trigonometric Limits
(5:17:31) [Corequisite] Composition of Functions
(5:29:54) [Corequisite] Solving Rational Equations
(5:40:02) Derivatives of Trig Functions
(5:46:23) Proof of Trigonometric Limits and Derivatives
(5:54:38) Rectilinear Motion
(6:11:41) Marginal Cost
(6:16:51) [Corequisite] Logarithms: Introduction
(6:25:32) [Corequisite] Log Functions and Their Graphs
(6:36:17) [Corequisite] Combining Logs and Exponents
(6:40:55) [Corequisite] Log Rules
(6:49:27) The Chain Rule
(6:58:44) More Chain Rule Examples and Justification
(7:07:43) Justification of the Chain Rule
(7:10:00) Implicit Differentiation
(7:20:28) Derivatives of Exponential Functions
(7:25:38) Derivatives of Log Functions
(7:29:38) Logarithmic Differentiation
(7:37:08) [Corequisite] Inverse Functions
(7:51:22) Inverse Trig Functions
(8:00:56) Derivatives of Inverse Trigonometric Functions
(8:12:11) Related Rates - Distances
(8:17:55) Related Rates - Volume and Flow
(8:22:21) Related Rates - Angle and Rotation
(8:28:20) [Corequisite] Solving Right Triangles
(8:34:54) Maximums and Minimums
(8:46:18) First Derivative Test and Second Derivative Test
(8:51:37) Extreme Value Examples
(9:01:33) Mean Value Theorem
(9:09:09) Proof of Mean Value Theorem
(0:14:59) [Corequisite] Solving Right Triangles
(9:25:20) Derivatives and the Shape of the Graph
(9:33:31) Linear Approximation
(9:48:28) The Differential
(9:59:11) L'Hospital's Rule
(10:06:27) L'Hospital's Rule on Other Indeterminate Forms
(10:16:13) Newtons Method
(10:27:45) Antiderivatives
(10:33:24) Finding Antiderivatives Using Initial Conditions
(10:41:59) Any Two Antiderivatives Differ by a Constant
(10:45:19) Summation Notation
(10:49:12) Approximating Area
(11:04:22) The Fundamental Theorem of Calculus, Part 1
(11:15:02) The Fundamental Theorem of Calculus, Part 2
(11:22:17) Proof of the Fundamental Theorem of Calculus
(11:29:18) The Substitution Method
(11:38:07) Why U-Substitution Works
(11:40:23) Average Value of a Function
(11:47:57) Proof of the Mean Value Theorem for Integrals

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