The company that created ChatGPT, OpenAI, has developed a new AI called Microscope.
It is a artificial intelligence that allows neural analysis and visualization of all types of living beings, both animals and humans. Next, if you want to have all the details about this new technology, continue reading.
How OpenAI Microscope works
OpenAI's Microscope AI is open source development, meaning any developer, programmer, or scientist can customize it to meet their own purposes.
The initial goal of Microscope is to provide data and information about neural networks and their inner workings. AI, through photos and scans of the patient's neural activity, is capable of providing easily understood information about the individual's (or animal's) neural process. Microscope can answer specific questions about the group of neurons under your observation.
Thanks to this AI analysis, neuroscientists will be able to better understand which neurons are linked to feelings and emotions, how they are able to recognize objects, how efficient they are at following instructions, how they give meaning to an image, what encourages generation of questions and answers in neural interconnections and much more.
AI aims to reveal the neural learning techniques of living beings and how they are capable of processing information, all with a strictly academic and scientific approach.
Advantages of using Microscope OpenAI
One of the main premises of OpenAI Microscope is that it will not only expose the data obtained with complex scientific terminology, but will also be able to show analyzes that are understandable to all types of people. This is in order to prevent only a minority from understanding the data presented.
The results will be available to the user in small sections called “nodes”, by clicking on one of them, the AI will display information about the neural activity in question. Likewise, each node explains how the AI was able to recognize and interpret multiple data.
Artificial intelligence will speed up the process of studying neural networks and will provide important benefits to the scientific community. One of its main advantages is that itIt can analyze the neuronal feedback process second by second, yielding more precise results that allow us to discover unknown characteristics of neurons.
It also allows different results to be related to each other to have greater scope for research and exploration. Likewise, AI orders and distributes data mechanically to avoid confusing results and facilitate the manipulation of information.
