Latest machine learning publications
A two-legged robot which can maintain its balance while running and jumping has been hailed as a breakthrough in robotic engineering by researchers, who say it could one day be deployed in disaster rescue teams.
Scientists have created a green-fingered robot that can prune roses and trim bushes, making light work of gardening chores. Trimbot uses mapping technology to find its way around the garden and performs horticultural tasks with its advanced cutting tools.
While machine learning has transformed many industries over the past decade, one area that is still playing catch-up is insurance. It’s a sector used to finding itself trailing behind other industries’ tech adoption, where high running costs of legacy systems squeeze budgets to such an extent that it’s hard for firms to stump up the cash necessary for driving innovation. While online comparison services have proliferated in recent years, signing up to and managing the policy invariably involves the pens, paper, and printers that other digitally-transformed industries have long since left behind.
While the cloud has enabled companies of all stripes to harness the power of machine learning, AI workloads like machine learning training and inference are computationally demanding and expensive.
According to some estimates, machine learning inference, the process of using a trained model to make predictions, can represent up to 90 percent of overall operational costs for running ML workloads.
Facial recognition technology and 3D athlete-tracking to enhance the viewing experience of the Olympic Games will be used during Tokyo 2020, Intel has said.
The computer chip-maker, which is a leading partner of the major international multi-sport event, will be able to identify more than 300,000 people at the Games in Japan, including athletes, volunteers, media and other staff.