ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

A research team has developed DeepCodon, a deep learning–based codon optimization tool that significantly improves heterologous protein expression in Escherichia coli while preserving functionally ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

WiMi launched the MC-QCNN, a quantum convolutional neural network capable of processing multi-channel data for applications ...

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

The paper shows how artificial intelligence can transform wastewater treatment by making plants smarter, more energy-efficient, and better able to handle emerging pollutants such as PFAS, ...

As costs of developing AI and the limited amount of available hardware, DeepSeek has presented a new plan for developing and ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...