The Physics of Human Strength

Welcome to physics to strengthen people. Dr. Frederick Hatfield said. Among former world record holders of Squat, 38 factors influence power. I put it here for easy reading, but the original article is on www.drsquat.com. Muscle fiber arrangement musculoskeleton utilization tissue lever inter-fiber movement free tissue viscoelastic muscle / intracellular friction fiber type ratio

In the early stages of life, most activities are done with human physical strength. It is inexplicable to think about time and human progress. It began with the beginning of life on Earth until the development of early modern computers and nuclear technology. Every part of the universe already feels the sense of the Internet. Since researchers have proved that computers can learn, the Internet has gradually taken over responsibility. The computer does not break down. Now the technology becomes very powerful, you can imitate the human brain. So the machine can be smarter

We have two advantages, human beings and minds as human beings. In the last century, due to the machine's superiority in human work, the machine took over much of the work we were doing. Today, we are witnessing how the machine will take over more work than we need mental strength. Types of work related to the basic needs of our main lives such as transportation, safety, health and choice of shopping. Still, machines are more complicated in terms of intelligence and thinking, but creativity is a machine fight.

Prior to the first Industrial Revolution, human beings had to do everything manually and only rely on physical strength. After the invention of steam, the first industrial revolution helped us automate difficult tasks. Distribution using steam is still difficult. After the invention of electricity, the Second Industrial Revolution simplifies many hard labor. After computer invention, the Third Industrial Revolution enabled most by automating work and clicking buttons. Now that we are experiencing the industrial revolution, we are moving towards manufacturing machine learning and creating an artificial intelligence system.