AI Comprehension #1 Notes/Essay

AI transforms the things humans do so much of but never seem to see or tend to notice, and that is data from the everyday person to the top business owners.

Watch Watson and the Jeopardy! Challenge

Things that get forgotten because data doesn’t translate through our cells, but Ai does because it was made for just that. Making things more accessible rather than thinking you will be replaced realize with the proper ethics in place, understanding structures, and having the ability to have data transcribe contextual ideas.

Things like Neural Networks, a collection of computing units modeled on biological neurons, take incoming data and learn to make decisions over time. The different types of Neural Networks in Perceptrons, Convolutional Neural Networks (CNNS), and Recurrent Neural Networks (RNNS).

Read more: Discover the insightful critique of technology and its impact on society by the late Ursula Franklin

As humans, we have our natural languages when we are born, and so does AI. This is not me saying we are meant to work side by side, but automation in helping us process the world we live in with as much total optimization as possible. We build visual recognition as we learn and grow, but having something like IBM Watson's Visual recognition is. Using visual data to know the different areas recognize what people are posting, understand the needs, and organize it.

Nvidia has an excellent vision for self-driving cars using cognitive systems; cognitive systems have scaled since 2011. now there are AI systems capable of taking care of business challenges as varied as operations and healthcare.

The Manipal comprehensive cancer center uses AI to get data and evidence to quickly obtain up-to-date, personalized medicines for clients. with the understanding of the studies between patient trials, mitigating error. With my thoughts, I hope this information structure could translate to our everyday lives to reshape certain economic troubles.

Data archives things of today, such as information, to keep it around for the next time someone wants to obtain that knowledge.