PagePeek launches its AI-powered soundscape research evaluation platform, combining deep learning with ecological and urban ...

Designing a complex electronic device like a delivery drone involves juggling many choices, such as selecting motors and ...

A recent report from the University of Chicago's Air Quality Life Index found that wildfires are worsening air quality in ...

Abstract: Fault localization is a technique that plays a valuable role in reducing the burdensome task of hardware design code, such as Verilog or VHDL. The recent advancements in deep learning have ...

Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By ...

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 ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Abstract: This article presents a physics-informed deep learning framework using deep neural networks (DNNs) for metasurface (MS) design. By integrating equivalent circuit parameters as physically ...

Human society is coordinated by mechanisms that control how prices are agreed, taxes are set, and electoral votes are tallied. The design of robust and effective mechanisms for human benefit is a core ...

Extreme weather events such as heatwaves, cyclones, floods, wildfires, and droughts are becoming more frequent due to climate change. Climate change causes shifts in biodiversity and impacts ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...