Machine learning by intuition - Advanced Science News

Human–computer interfaces, a long sought-after goal, would open new worlds. Disabled people could regain autonomy, people could access information and operate seamlessly in a digital world. This goal is yet to be realized because training machines to follow our mental commands, such as move a cursor across the screen, is a complicated and tedious process. Now, by approaching the problem of this machine learning from a brand-new angle, researchers from the University of Helsinki are drastically improving how we can interface with machines. Rather than teaching the computer to do something when we ask it, the machine is now capable of learning what we want it to do without being told.