Artificial intelligence algorithms are everywhere in healthcare. They sort through patients’ data to predict who will develop medical conditions like heart disease or diabetes, they help doctors ...

The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial complexity ...

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

Researchers at Monash University have designed a new co-training AI algorithm for medical imaging that can effectively mimic the process of seeking a second opinion. Published recently in Nature ...

Researchers describe a machine-learning algorithm that can register brain scans and other 3D images more than 1,000 times more quickly using novel learning techniques. Medical image registration is a ...

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...

Deep-learning algorithms allow researchers to quickly process large amounts of data by sending it through multiple layers of nonlinear processing units, which can be trained to identify different ...

Today's AI vision is effective at recognizing simple images in isolation—such as buildings, cars, and people. But when it's ...

South Korean quantum computing company Norma recently announced that its quantum artificial intelligence algorithm has successfully undergone performance validation on the NVIDIA CUDA-Q platform, ...