![]() What a remarkable time it is to learn how to communicate your ideas to a computer! For instance, how many languages do you know? Do you consider that speaking to a computer is a new kind of language? It is the reader's responsibility to understand the scope and the limitations of the predictions? While reading this kind of article, it is the perfect time to self-evaluate your current skill set and identify new items to add to your learning path. However, long-term predictions carry uncertainty (new science discoveries, changes in humans priorities, lack of data etc.) that make it hard to generate a 100% accurate model. The idea is to reduce the risk of an undesired future. Talking about the future is a complex task that requires data from the past and continuous monitoring of the present. What are some of the nuances people frequently miss when discussing this subject matter? Moreover, as described in the article, deep learning, data models, and artificial intelligence will help build our future by classifying data, creating models, making bold predictions. In a nutshell, as a new technology revolution happens, new roles and jobs will appear, and computers will do the tedious processes. However, the objective of astronomy as science is fundamentally the same. ![]() Becky's video " a day in a life of an astrophysicist"). What do you think today's astronomer does? Astronomers spend most of their time watching a computer screen than using telescopes (I'll refer you to Dr. In October of 2021, there are 4300+ exoplanets confirmed. The astronomer's profession has evolved with the new technology, and it has been adapted according to human reality. Today there are multiples ground telescopes, and we have the first generation of telescopes orbiting the earth. Finally, Newton wrote Principia, which describes the bodies' mechanics using math language based in all the previous work to support of his ideas. During the same era, Galileo used a telescope to generate the second generation of observations and confirm Tycho's and Kepler's works. That data allowed Johannes Kepler to formulate the equations that are essential in today's astronomy. The first "modern" data scientist was Tycho Brahe, who generated detailed data about the stars in the sky using his naked eyes. ![]() What are some of the varying perspectives on this subject that you’re aware of?Īs I promised at the beginning of the story, let me talk about how Astronomy evolved. Once we control the quantum power to process a large amount of data, the new era of computers will start, which will allow the fourth industrial revolution to begin. If you are interested in their technology, please refer to this Boston Dynamic talk and the “ Flipping the script with ATLAS“ blog post.įinally, I think the fourth industrial revolution is highly attached to quantum computers. The technology is still in progress, and it will be some time until we can see robots immersed in our day-to-day life. Moreover, I think there are some blockers like computer power, specific Internet-related issues, and the upcoming generations' learning curve, which prevent us from moving into a new technology revolution.Īnother fact that supports my argument is that the most advanced robots of Boston Dynamics do not use artificial intelligence at their core. Artificial intelligence, modern robotics, gene editing, and 3D printing are part of the spectrum of the third industrial revolution. In my opinion, the third industrial revolution is still in progress and is too soon to consider we are experiencing the fourth. The references are essential since they give the reader more context, and it helps to illustrate her points. I enjoyed the reading, and I agree with most of the points. In general, I like how the author presents the topic, primarily due to the references supporting her ideas. Throughout the reading, the author explains the changes during the "first, second, and third industrial revolutions" and introduces the fourth industrial revolution with artificial intelligence + modern robotic as the leading root cause. The article shows us the evolution of the workforce on time. What is your opinion regarding this piece? Let me guide you through the evolution of Astronomy. This entry includes my opinion about story "Automation, AI, and the Future of Jobs" I'll try to cover this topic with a perfect example of a career that evolved from a hobby to the invention of the scientific method, and which today is essentially a data science. RE: Automation, AI, and the Future of Jobs Welcome to HackerNoon’s Writing Prompts! Would you like to take a stab at answering some of these questions? The link for the template is HERE.
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