Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep learning models. #AdamW #DeepLearning #PythonTutorial ...

Estimating π with “fake circles” using Python. This short shows how to simulate the geometry, calculate the approximation step by step, and see how accuracy improves as the model gets refined. #Python ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Prediction markets have gone mainstream. Now the mechanics that powered $44 billion in volume are spreading to stock picks, ...

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Well, sort of. Machine learning, an older form of AI, has long been used in all sorts of scientific research. One branch, ...

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 ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Perplexity CEO Aravind Srinivas says the biggest threat to data centers is intelligence that runs locally on your device If ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...