Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

MasterQuant is launching at a time when AI bots are gaining traction in the financial industry. According to recent reports, the global market for AI-powered trading solutions is expected to grow ...

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

The problem with Artificial Intelligence (AI) is that nobody is quite sure what it is.

The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...

A recent Nature study shows that separated artificial neural networks can accurately model SiC MOSFETs using minimal training data. Silicon carbide MOSFETs are increasingly replacing traditional ...

Abstract: No-insulation (NI) high temperature superconduct-ing (HTS) coils show higher stability than traditionally insulated HTS coils. However, quench remains one of the most crucial issues ...