IBM Watson, a computer that can analyze and learn from human input, is about to make its way into medical labs and universities around the world.
But while it is not expected to be as accurate or as useful as its human-friendly competitor, DeepMind’s AlphaGo, Watson has already had some success in the field.
In October, IBM’s DeepMind made a huge breakthrough that enabled the computer to beat the world’s best player of Go, Lee Sedol, at the world championship in December 2017.
The team of IBM, Facebook, Google and others has also made several notable discoveries, including the discovery that the brain can actually work at a faster rate than previously thought, and that we are not alone in our mental capacities.
“We’ve been looking for the best brain in the world, and we found it,” said DeepMind co-founder and CEO Demis Hassabis in a speech to the company’s employees at its offices in London in July.
“Our goal is to use that to train the best artificial intelligence in the universe.”
In the speech, Hassabis said Watson’s capabilities could be used to train computers for the search and prediction of crimes, for example, or to predict the outcome of sporting events, or even to detect when and where an earthquake is likely to occur.
For now, Watson’s only use is to learn and understand the brain, which has the potential to make the human brain less powerful and less capable of doing things that humans would prefer to do.
But Hassabis thinks that it can help people more than just in the fields of medicine and education.
“Watson is really a way to take our minds and turn them into machines,” he said.
“It’s a way of thinking of our brain as a machine that can be used in many different ways.”
What does that mean?
Well, Watson is not a computer.
Instead, it is an artificial intelligence that is able to take input from the human mind and make predictions.
For example, if you ask it to tell you the weather for a particular date, Watson can predict that the weather will be fine in the city that day, or that it will be drier in a certain area, or how the sun will shine in certain parts of the day.
It can even make predictions about how people will act, and if they are smart enough to avoid a certain situation, it can predict when and how they will act in that situation.
The idea is to create an AI that can understand human behavior, and then use that information to make decisions.
It also has the capability to understand complex information in more detail, making it more useful for doctors and researchers to use Watson in diagnosing illness, or for building artificial neural networks that can learn more about human behavior and make better predictions about the human condition.
Watson is also capable of learning from experience.
In 2017, IBM said it was working on a Watson that could learn about its customers and then make recommendations based on their past behavior.
In a paper published in the journal Science, IBM researchers said Watson could predict how much money a customer made by analyzing their spending habits and then using that information in its decision making.
For now the system is only used to create predictions, but it has already been used to make predictions that have led to real-world success for people who are looking for help with their health care, for instance.
According to a recent survey by the consulting firm NPD Group, Watson was used by more than 2.4 million people in the United States to find out what diseases they have and how to get treatment.
And according to the New York Times, the company has been used by 1.6 million people to improve their job satisfaction, and by 1,500 doctors in the past three years.
Watson has also been used in the research of a new cancer drug that has so far had no effect on its competitors, and for predicting how to treat Alzheimer’s.
This story has been updated to reflect that IBM Watson has been making progress in learning more about the brain.