Artificial Intelligence VS Machine Learning

https://youtu.be/oIXF8XZyPUM

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to perform the task.

Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.

Robotics: Crash Course AI #11

Robots aren’t like humans who can do a lot of different things. They’re designed for very specific tasks like vacuuming our homes, assembling cars in a factory, or exploring the surface of other planets. So even though it may be a while before we have a general household robot that can do it all, robots are still really important because they can do some things incredibly well even better than humans. So today, we’re going to take a look at the role of AI in overcoming three key challenges in the field of robotics: localization, planning, and manipulation.

The Real Business of Blockchain

This video outlines 5 core elements of blockchain that support a ledger as well as the future of blockchain with artificial intelligence and integration with the Internet of Things.

  • Distribution
  • Encryption
  • Immutability
  • Tokenization
  • Decentralization

Artificial Intelligence at Scale | IBM

https://youtu.be/4t8IZEWlRmc

IBM Executive HPC/AI Architect, Clarisse Taaffe-Hedglin, discusses how clients can take AI from prototype to production using IBM’s Watson Machine Learning Accelerator AI software combined with IBM Power Systems infrastructure.

Utilizing open source packages as a base and introducing packages from IBM Research while leveraging advantages of IBM Power Systems accelerated infrastructure, IBM helps clients train models faster and in a distributed fashion. Clarisse discusses technologies and packages such as Distributed Deep Learning, Snap ML and NVLink to implement AI at scale and also describes how you can get started on your AI journey to scale with IBM

Is Atlas The World’s Most Advanced Humanoid Robot With Artificial Intelligence Until Now?

A humanoid robot is a robot with its body shape built to resemble the human body. The design may be for functional purposes, such as interacting with human tools and environments, for experimental purposes, such as the study of bipedal locomotion, or for other purposes.

Humanoid robotics is an emerging and challenging research field, which has received significant attention during the past years and will continue to play a central role in robotics research and in many applications of the 21st century.

Humanoid robots are now used as research tools in several scientific areas. Researchers study the human body structure and behavior (biomechanics) to build humanoid robots. On the other side, the attempt to simulate the human body leads to a better understanding of it.

There are many humanoid robots made by many famous companies. for example – Atlas from Boston Dynamics, sophia by Hanson Robotics, Asimo by Honda, Valkyrie from NASA, iCub Robot, Romeo, petman, NAO bot, ARMAR III and many more.

But the question is which one is the best humanoid robot in the world. The answer is, Off-course Atlas robot from Boston Dynamics.

The world’s most dynamic humanoid robot, Atlas is a research platform designed to push the limits of whole-body mobility. Atlas’s advanced control system and state-of-the-art hardware give the robot the power and balance to demonstrate human-level agility.

Atlas’s advanced control system enables highly diverse and agile locomotion, while algorithms reason through complex dynamic interactions involving the whole body and environment to plan movements.