We are used to 20th-century machines that work well for us under normal conditions. We turn on the autopilot once the plane is airborne, but when we suspect an engine problem, we scramble to take manual control. More generally speaking, we are used to machines performing well autonomously, but when

Computing systems that appear to generate brain-like activity may be the result of researchers guiding them to a specific outcome. Neural networks, a type of computing system loosely modeled on the organization of the human brain, form the basis of many artificial intelligence systems for applications such speech recognition, computer

GNNs apply the predictive power of deep learning to rich data structures that depict objects and their relationships as points connected by lines in a graph. When two technologies converge, they can create something new and wonderful — like cellphones and browsers were fused to forge smartphones. Today, developers are

A neural network forms the basis of many modern artificial intelligence set-ups, and now the concept has been applied to a purely mechanical calculating machine A mechanical neural network composed of beams, motors and sensors can learn to carry out several different tasks, just like its software equivalent, and could

While there are various practical applications of reinforcement learning, the concept as a whole poses some limitations when used in developing autonomous machine intelligence Intelligence consists of various aspects like learning, reasoning, and planning. Human beings, for example, have behavioural, social, and general intelligence, which can be simply termed as