The artificial intelligence world is a confusing one.
And as we all know, we can never quite understand the code behind it.
That is because our minds can only be as good as our programming, which is an important part of the puzzle.
As such, we’ve always had to rely on our intuitions and our brains.
But with AI, the process of understanding is starting to change.
A team of researchers at IBM and Cornell Universities is proposing a novel way to do this.
Their artificial intelligence engine, called Krita, is a computer program that can analyze millions of data points and then come up with predictions.
They say the system can give a human a 1,000-fold improvement in understanding, while being able to predict the actions of an intelligent robot with 100 times more accuracy.
The researchers describe the machine learning algorithm Kritas approach as “the ultimate tool for machine learning”.
“The idea of using machine learning to understand human behavior is very old,” said the IBM team, which describes KritA as a “learning engine for intelligent systems.”
The AI engine was developed with the aim of creating an intelligent AI that would work on its own, and not rely on human supervision.
“We want to make sure that when we put Krit as the machine, we’re not thinking of human supervision or human supervision in the context of AI,” said one of the researchers, Daniel J. Wiese.
The team’s research was published in a paper titled “The Future of Artificial Intelligence: Using Machine Learning to Understand Human Behavior”.
“It’s a good idea to understand what’s going on inside an AI, to learn more about how the system works,” Wiesed added.
KritAs algorithm is able to identify which patterns in a human’s data sets are useful and which are not.
It is also able to generate an answer to a question like, “What is the probability that a human would make a mistake if given the same situation twice?”
“The system has the ability to make a very accurate prediction,” the team said.
“It could give us a 1-in-10 chance of understanding what humans do.”
For example, Krit will be able to tell the difference between an innocent smile and a malicious smile.
The machine learning software could also be used to detect when a person is thinking about something other than a face.
It would then ask for the answer, “Is there anything else that you’re thinking about?”
“It can also recognize the type of person who is the most likely to be acting in a suspicious manner,” Wied added.
For example: “It may also be able recognize the personality traits of people with different backgrounds.”
The team also suggests that it could be used in conjunction with other methods for AI, such as machine learning for criminal investigations, to make predictions about future criminal activity.
It could even be used as a tool for law enforcement.
The research is a first step towards a world where machines can learn to recognize human behavior.
The study was published last week in the journal Machine Learning Research.
IBM and the Cornell team will continue to work on the AI engine for the next few years, Wieses told TechCrunch.
“Right now, Kris is a very young system, and we don’t have a lot of time to really improve the AI.”
IBM said it will also continue to develop Krit and work on new ways to make the AI even smarter.