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 ...
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 ...
Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
As costs of developing AI and the limited amount of available hardware, DeepSeek has presented a new plan for developing and ...
Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...