A new tool for predicting a person's movement trajectory may help humans and robots work together in close proximity.

Predicting what someone's face looks like based on a DNA sample remains a hard nut to crack for science. It is, however, getting easier to use such a sample to filter the right face from a face database.

YONO is an easy to use, comfortable, silicone-encased earpiece, which is worn all night. Hundreds of data points are collected during sleep, which are then synced when the earbud is stored in the base station.

How much can we infer about a person's looks from the way they speak? A group of researchers from MIT has created an artificial intelligence system that can reconstruct people's faces by listening to their voices.

Researchers have created a new deep-learning model that can predict from a mammogram if a patient is likely to develop breast cancer as much as five years in the future. Trained on mammograms and known outcomes from over 60,000 MGH patients, the model learned the subtle patterns in breast tissue that are precursors to malignant tumors.

Serious questions abound about how and when facial recognition technology should be used, and whether the positives—identifying a suspect or preventing a terrorist attack—outweigh the negatives—infringement on privacy rights.

The city of Amsterdam envisions a future where fleets of autonomous boats cruise its many canals to transport goods and people, collect trash, or self-assemble into floating stages and bridges.

The world's first 5G-connected robot cafe franchise now has 45 robot-equipped outlets. The second-generation smart robot barista can communicate directly with customers.

Objects made with 3-D printing can be lighter, stronger, and more complex than those produced through traditional manufacturing methods. But several technical challenges must be overcome before 3-D printing transforms the production of most devices.

Wearing a sensor-packed glove while handling a variety of objects, researchers have compiled a massive dataset that enables an AI system to recognize objects through touch alone. The information could be leveraged to help robots identify and manipulate objects, and may aid in prosthetics design.

A team of Japanese scientists has used facial recognition technology to develop an automated system that can predict when patients in the intensive care unit are at high risk of unsafe behaviour such as accidentally removing their breathing tube, with moderate (75%) accuracy.

Tech company CollectiveCrunch and Metsähallitus Forestry Ltd have entered into an innovation partnership with the goal of improving harvesting and forest development planning through deep artificial intelligence technology and big data analysis.

With aims of bringing more human-like reasoning to autonomous vehicles, researchers have created a system that uses only simple maps and visual data to enable driverless cars to navigate routes in new, complex environments.

Energy firms are now able to look more than a kilometre deeper beneath the surface of the seabed with unprecedented accuracy thanks to the XWI™ algorithm, a new optimisation framework for seismic data developed by S-Cube.

New system employs a deep neural network to overcome the challenge of ground-effect turbulenc.

Most antibiotics work by interfering with critical functions such as DNA replication or construction of the bacterial cell wall. However, these mechanisms represent only part of the full picture of how antibiotics act.

A new way of combining perception and motor commands using the so-called hyperdimensional computing theory, which could fundamentally alter and improve the basic artificial intelligence task of sensorimotor representation -- how agents like robots translate what they sense into what they do.

A team of researchers developed MNet, an automatic diagnosis system for neurological diseases using magnetoencephalography, demonstrating the possibility of making automatic neurological disease diagnoses.

Computer scientists have taught an artificial intelligence agent how to do something that usually only humans can do--take a few quick glimpses around and infer its whole environment, a skill necessary for the development of effective search-and-rescue robots that one day can improve the effectiveness of dangerous missions.