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

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

North America leads, but Europe shows high growth potential, with research institutes as major users AI-Based Digital Pathology Market AI-Based Digital Pathology Market Dublin, Dec. 30, 2025 (GLOBE ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Seattle biotech startup Rhizome Research has emerged from stealth with technology for creating small-molecule drug candidates ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...