We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Engineered enzymes are poised to have transformative impacts across applications in energy, materials, biotechnology, and medicine. Recently, machine learning has emerged as a useful tool for enzyme ...

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...

A machine learning system uses four wearable sensors to assess balance exercise difficulty and provide AI-driven feedback to ...

Machine learning and deep learning tasks demand substantial computing power. Whether you’re training a convolutional neural network on image data or running large language models, having a laptop with ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...