Walmart's BrainOS-powered floor scrubbers allow store associates to quickly map a route during an initial training ride and then activate autonomous floor cleaning with the press of a single button. The robot uses multiple sensors to scan its surroundings for people and obstacles, providing the industry's highest level of safety and performance.

The empty frames hanging inside the Isabella Stewart Gardner Museum serve as a tangible reminder of the world's biggest unsolved art heist. While the original masterpieces may never be recovered, a team from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) might be able to help, with a new system aimed at designing reproductions of paintings.

Searching through the mountains of published cancer research could be made easier for scientists, thanks to a new AI system.

Machine learning can be used to analyse electronic health records and predict the risk of emergency hospital admissions.

Small Robot Company aims to make farms more profitable, and increase yield and efficiency, through using small robots instead of tractors. Its arable farming robots Tom, Dick and Harry will enable farmers to be kinder to soil, kinder to the environment, more efficient, more precise and more productive. It will also reduce chemical usage and cultivation energy in arable farming by up to 95%.

Some of history's most notorious unsolved murder crimes could be laid bare thanks to new forensic research.

Computer scientists have devised a novel computational method, driven by machine learning techniques, to successfully and realistically simulate the multi-step process of putting on clothes.

How can a doctor predict the treatment outcome of an individual patient? Traditionally, the effectiveness of medical treatments is studied by randomised trials where patients are randomly divided into two groups: one of the groups is given treatment, and the other a placebo. Is this really the only reliable way to evaluate treatment effectiveness, or could something be done differently?

A 5ft 2ins tall magenta robot, equipped with sensors and cameras, will guide visitors through exhibitions at a Lincoln museum from today.

Fingerprint authentication systems are a widely trusted, ubiquitous form of biometric authentication, deployed on billions of smartphones and other devices worldwide. Yet a new study reveals a surprising level of vulnerability in these systems. Using a neural network trained to synthesize human fingerprints, the research team evolved a fake fingerprint that could potentially fool a touch-based authentication system for up to one in five people.

Microbial fuel cells are a promising technology for generating electricity from organic waste materials. European investigators set out to improve microbial fuel cells through ground-breaking technologies.

With machine learning systems now being used to determine everything from stock prices to medical diagnoses, it's never been more important to look at how they arrive at decisions.

Approximately 3,500 attendees from 42 countries attended the IDTechEx Show!, which featured 284 exhibiting organizations. The event, held in Santa Clara, California, is unique in bringing together eight key technologies with the organizations that seek to use them.

Belgian research center imec and the French research institute CEA-Leti announced that they have signed a memorandum of understanding that lays the foundation of a strategic partnership in the domains of Artificial Intelligence and quantum computing, two key strategic value chains for European industry, to strengthen European strategic and economic sovereignty.

The Robotics Flagship aims to develop robots and artificial intelligence that are economically, socially and environmentally sustainable: this is the project proposal submitted to the European Commission, that by 2020 will have chosen the flagships that will receive one billion euros over ten years to guarantee Europe a leading position in science and technology.

Researchers have created a new technique for training Artificial Intelligence machines faster than ever before, while maintaining accuracy.

The mathematical modeling for 3D printing requires a lot of machine time, in some cases calculations for manufacturing even a simple structure can take a week. In order to accelerate this process, researchers developed the neural network.

To robots, humans' instructions are incredibly complex. Even a relatively simple command like "Go to the house, passing the tree on your right," may require hundreds of attempts to learn. And if the command changes to "Go to the house, passing the tree on your left," the robots needs to re-learn the task from scratch.

CPI worked with Craig Downs on mymo, a wearable sock which uses artificial intelligence to gauge an athlete's gait.

EnvisionTEC announced that it will be debuting the industry's first ever DLP-based 3D printer utilizing a true 4K projector with artificial intelligence.