If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

IIIT-B develops a low-cost webcam tool to track survey distractions, enhancing data reliability in public health and social ...

A groundbreaking international study published in JAMA Otolaryngology-Head & Neck Surgery has demonstrated that Artificial ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

For the last three years, the world has obsessed over generative AI that can write and create. By the end of 2026, we'll see ...

A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published ...

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