David Curry

Previously, the way to identify these disorders would be through manual scoring, which is time-consuming and can lead to inaccuracies.

With AI becoming more prevalent, it’s clear that a platform that can manage the complete AI development and production life cycle will become more critical.

Smart thermostats have been around for a while, but researchers at Swiss federal laboratory Empa have gone one step further, adding machine learning.

The initiative will focus on accelerating medical research, increasing understanding of health crises, and reducing health inequality.

The research opens perspectives in the exploitation in AI of neuromodulation, a key mechanism in the functioning of the human brain.

The relationship between humans and machines is being redefined at work, and there is no one-size-fits-all approach to successfully managing this change.

To reduce the risk of lag, researchers at the University of Pittsburgh have proposed a system that would give IoT devices a side channel to avoid slowdowns.

Sensors that detect a product’s ripeness and quality throughout processing could be a big factor in reducing the amount of food that goes to waste.

Hybrid cloud has seen a sharp rise in interest over the past few years, due to the limitations and ‘lock-in’ effect of having a single cloud provider.

Google and Alphabet CEO Sundar Pichai has called for global regulation on artificial intelligence, admitting the company cannot do it alone.

The accurate prediction of energy consumption at a specific time under many outside and inside conditions becomes an essential step to improve energy efficiency and management in a smart building.

Report finds there is still a lack of understanding of AI’s benefits, which AI to choose, and whether it’s necessary at all.