Artificial Intelligence

Engineers have developed a new method to identify objects using microwaves that improves accuracy while reducing the associated computing time and power requirements. The system could provide a boost to object identification and speed in fields where both are critical, such as autonomous vehicles, security screening and motion sensing.\r\n

Researchers have developed a 'deep learning' system that is better than most pathologists at determining the aggressiveness of prostate cancer. The AI system, which uses tissue samples to arrive at its diagnosis, taught itself to identify prostate cancer based on data from over 1200 patients.

Modular vehicles can help solve a majority of the problems and questions posed by modern mobility that arise as the result of new IT technologies such as autonomous driving and of traffic congestion and the associated inefficiency and air pollution.

Researchers have demonstrated that machine-learning algorithms can monitor online social media conversations as they evolve, which could one day lead to an effective and automated way to spot online trolling.

Good things come in threes - and automated driving is no exception. Before safe automated driving can become a reality, a third sensor principle is needed in addition to camera and radar. Consequently, Bosch is making long-range lidar sensors production-ready - the first lidar (light detection and ranging) system that is suitable for automotive use.

Toyota has revealed plans to build a prototype "city" of the future on a 175-acre site at the base of Mt. Fuji in Japan. Called the Woven City, it will be a fully connected ecosystem powered by hydrogen fuel cells.

Hit the Green has designed S-Walk, a golf cart that utilizes a rear-facing LiDAR sensor to measure how far away the golfer is, the cart then speeds or slows as the user does.

How accurately do face recognition software tools identify people of varied sex, age and racial background? According to a new study the answer depends on the algorithm at the heart of the system, the application that uses it and the data it's fed — but the majority of face recognition algorithms exhibit demographic differentials.

The UK Civil Aviation Authority has published its first guide aimed at supporting the industry to make unmanned aircraft (drone) flights beyond the visual line of sight of the operator an everyday occurrence. This would significantly change how unmanned aircraft are used in the UK.