Once a concept of ancient myths and science fiction, AI is now reshaping industries and economies. From Turing’s theories to ...

Linear normalization, which is most common, involves shifting the number axis so the data is balanced around zero, and then ...

Government subsidizes high-end computing for AI research, benefiting academia and corporate teams, aiming to democratize ...

AI is transforming climate science and energy management by enhancing predictive modeling, optimizing renewable energy ...

Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

The default mode network (DMN) is a set of interconnected brain regions known to be most active when humans are awake but not ...

AI-based diagnostic tools, particularly deep learning models like Convolutional Neural Networks (CNNs), have demonstrated remarkable success in automated image analysis. These models can detect ...

The prototype camera uses optics for computing, reducing power consumption and enabling the camera to identify objects at the speed of light. Image: Ilya Chugunov, Princeton University Join Imaging ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

GCN, a groundbreaking disentangled graph convolutional network that dynamically adjusts feature channels for enhanced node ...

Nvidia's DLSS 4 Ray Reconstruction tackles the issue of image noise with ray tracing. By improving stability and texture preservation, it minimizes the visual trade-offs and ...