Nature-inspired metaheuristics
HUMANT (HUManoid ANT) algorithm belongs to Ant colony optimization algorithms. It is a Multi-Objective Ant Colony Optimization (MOACO) with a priori approach to Multi-Objective Optimization (MOO), based on Max-Min Ant System (MMAS) and multi-criteria decision-making PROMETHEE method. The algorithm is based on a priori approach to Multi-Objective Optimization, which means that it integrates decision-makers preferences into optimization process. Using decision-makers preferences, it actually turns multi-objective problem into single-objective. It is a process called scalarization of a multi-objective problem. The first Multi-Objective Ant Colony Optimization (MOACO) algorithm was published in 2001, but it was based on a posteriori approach to MOO. The idea of using PROMETHEE method to integrate decision-makers preferences into MOACO algorithm was born in 2009.So far, HUMANT algorithm is only known fully operational optimization algorithm that successfully integrated PROMETHEE method into ACO. HUMANT algorithm has been experimentally tested on the Traveling salesman problem and applied to the Partner selection problem (PSP) with up to four objectives (criteria). (Wikipedia).
Snippet: Ant-inspired robot can navigate better than civilian GPS
This new system based on desert-ant tactics like counting strides and monitoring polarized light puts ant-bot within centimeters of its target. Learn more: https://www.sciencemag.org/news/2019/02/antbot Read the research: http://robotics.sciencemag.org/content/4/27/eaau0307 About Scie
From playlist Science Snippets
Human or Machine? The Incredibly Life-Like Android Robots From Japan
A new exhibition entitled "Android: What is Human?" launching tomorrow at the National Museum of Emerging Science and Innovation (Miraikan) in Tokyo will showcase some of the most realistic humanoid robots that have ever been seen.
From playlist Robots, AI, and human-machine interfaces
The Cybernetic Future Of Humanity | Future Human A.I. | Spark
This Week On Future Human A.I - A look to the future to see how advancements in A.I. are increasingly blurring the distinction between what is human and what is machine. What kind of future are we, and the machines that are becoming so much a part of our lives, creating for generations to
From playlist Future Human A.I.
Expert Systems Lesson 1 - Using an expert system
In this lesson we talk about what an expert system is and we also use the expert system I have created to get a feel of what an expert system does. Subtitles: English Link to expert system used in video:http://magicmonktutorials.com/IT/expertsystem/index.html Link to lesson 2: https://w
From playlist Expert Systems / Robotics
Read more at http://www.botjunkie.com/ and http://www-robot.mes.titech.ac.jp/robot_e.html
From playlist Robots, AI, and human-machine interfaces
Human Meets Humanoid | World's Strangest
What if you couldn't tell the difference between man and machine? Meet the man who has invented the world's most life-like android. | For more World's Strangest, visit http://www.sciencechannel.com/tv-shows/worlds-strangest/#mkcpgn=ytsci1 Catch World's Strangest Tuesdays at 8/7c on Scienc
From playlist World's Strangest
‘Octobot’ is the world’s first soft-bodied robot
Flexible machine goes where no robot has gone before. Learn more: http://www.sciencemag.org/news/2016/08/octobot-world-s-first-soft-bodied-robot
From playlist Robots, AI, and human-machine interfaces
Petros Koumoutsakos: "Machine Learning for Fluid Mechanics"
Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature "Machine Learning for Fluid Mechanics" Petros Koumoutsakos - ETH Zürich Abstract: The field of fluid m
From playlist Machine Learning for Physics and the Physics of Learning 2019
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 14
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To follow along with the course, visit: http://cs330.stanford.edu/fall2021/index.html To view all online courses and programs offered by Stanford, visit: http:/
From playlist Stanford CS330: Deep Multi-Task & Meta Learning I Autumn 2021I Professor Chelsea Finn
Ants Are a True Superorganism - They Literally Share a Stomach
Good telescope that I've used to learn the basics: https://amzn.to/35r1jAk Get a Wonderful Person shirt: https://teespring.com/stores/whatdamath Alternatively, PayPal donations can be sent here: http://paypal.me/whatdamath Hello and welcome! My name is Anton and in this video, we will tal
From playlist Biology
WHAT IS THE SQUARE ROOT ALGORITHM? How does the square root algorithm work and why | Nathan Dalaklis
I go ahead and answer the question of 'what is the square root algorithm'. Before we look at this one of many algorithms from real analysis. I'll go through a sample computation and run through the square root algorithm steps without a calculator. After looking at the square root process a
From playlist The New CHALKboard
Stanford CS330:Multi-task and Meta Learning | 2020 | Lecture 14: Hierarchical RL and Skill Discovery
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai To follow along with the course, visit: https://cs330.stanford.edu/ To view all online courses and programs offered by Stanford, visit: http://online.stanford.
From playlist Stanford CS330: Deep Multi-task and Meta Learning | Autumn 2020
Science & Technology Q&A for Kids (and others) [Part 104]
Stephen Wolfram hosts a live and unscripted Ask Me Anything about the history of science and technology for all ages. Find the playlist of Q&A's here: https://wolfr.am/youtube-sw-qa Originally livestreamed at: https://twitch.tv/stephen_wolfram If you missed the original livestream of thi
From playlist Stephen Wolfram Ask Me Anything About Science & Technology
Stanford CS330: Multi-Task and Meta-Learning, 2019 | Lecture 7 - Kate Rakelly (UC Berkeley)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Kate Rakelly (UC Berkeley) Guest Lecture in Stanford CS330 http://cs330.stanford.edu/ 0:00 Introduction 0:17 Lecture outline 1:07 Recap: meta-reinforcement lear
From playlist Stanford CS330: Deep Multi-Task and Meta Learning
TOP 4 INSANE ALIEN ENCOUNTERS | The Proof Is Out There
Check out these extra strange alien encounters that will leave you shocked. See more in this The Proof Is Out There compilation. Watch all new episodes of The Proof Is Out There, returning soon, and stay up to date on all of your favorite The HISTORY Channel shows at http://history.com/sc
From playlist Celebrate Extraterrestrial Abduction Day with History
David Ha - Collective Intelligence for Deep Learning: A Survey of Recent Developments
Recorded 17 February 2022. David Ha of Google Brain presents "Collective Intelligence for Deep Learning: A Survey of Recent Developments" at IPAM's Mathematics of Collective Intelligence Workshop. Abstract: In the past decade, we have witnessed the rise of deep learning to dominate the fie
From playlist Workshop: Mathematics of Collective Intelligence - Feb. 15 - 19, 2022.
The Star Wars-inspired rideable robot
Meet Mantis, the world’s largest rideable hexapod robot. To get the latest science and technology news, subscribe to our newsletter “The Blueprint” at https://bit.ly/3BDdN5e #engineering
From playlist Radical Innovations
Fear the Shambling Mushroom | Monster Science #14
From the horrors of “Matango” to “The Last of Us,” humanoid fungi and shroom-based mind control continue to terrify the human population. Join Dr. Anton Jessup as he explores how real-life carnivorous mushrooms and parasitic fungi match up to the outrageous world of monster movies and vide
From playlist Monster Science with Dr. Anton Jessup
Solving Rubik’s Cube with a Robot Hand
We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. Learn more: https://openai.com/blog/solving-rubiks-cube
From playlist Research Releases
Code - Seminar 20 - Mathias (@draainhp) on target tracking and firing (Humanoid!) projectiles
Mathias explains how firing a projectile to hit a moving target relates to solving a degree four polynomial, how to reason about that solution using calculus, and how he implemented that solution in Roblox to enable the creation of cannons. Mathias' Twitter: https://twitter.com/draainhp
From playlist Code seminar