Starting a Machine Learning Initiative?

Machine Learning and Artificial Intelligence (ML and AI) have become some of the most talked about technologies in the recent years. This has been occasioned by the prominence that these technologies have gained and the advancements in this area. As such, big tech companies such as Google, Microsoft Azure and Amazon are the leaders in this area, having developed different ML platforms. While AI and ML may appear to be alien terminologies to many, we have been experiencing it without us even being aware of it. Some of the areas that you might have come into close contact with this technology are in image tagging by Facebook as well as spam detection by email providers. For Facebook, for example, uploaded images are tagged automatically using face or image recognition algorithms while email providers such as Gmail use ML to recognize patterns or selected words then filter spam messages accordingly. Now let us look at some problems that arise from machine learning.


Scalable AI Takes Products To The Next Level

AI, like so many other trends, began as a novelty concept. The marketplace has a process to vet trendy concepts, and in the end, some turn from a fad into a mainstay. AI is in the middle of this process.


The Evolution Of Robots: From Gadget To Humanoid?

The evolution of robots continues to delight and surprise as machines grow closer and closer to human form and function. What used to be science fiction in 1921 may soon be a reality in 2021 if robots that already exist like Alexa and Roomba merge into one humanoid bot that can learn to think independently and vacuum. But the recent explosion of robotics is deceptive, making it seem like they just came to fruition. In fact, Robotics has had a much longer history; in fact, the first known example of a functioning robotic device dates to a water clock somewhere around 1500 BCE found in an Egyptian burial tomb. 


What Is The Ability For Artificial Intelligence To Save Lives?

It takes years of training to become a doctor and with good reason. The volume of information doctors must obtain and retain requires at least that amount of time. So much depends on knowledge and analysis in the medical field that transferring that knowledge to a medical student happens over a period of years, including several that allow the new doctors to practice and apply the knowledge as Residents.


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