neural networks

On the Possibility of Small Networks for Physics-Informed Learning

Introduction within the period of 2017-2019, physics-informed neural networks (PINNs) have been a very talked-about area of research within the scientific machine learning (SciML) community . PINNs are used to unravel atypical and partial...

How Convolutional Neural Networks Learn Musical Similarity

audio embeddings for music advice? Streaming platforms (Spotify, Apple Music, etc.) must have the power to recommend recent songs to their users. The higher the recommendations, the higher the listening experience. There are various ways...

Guided learning lets “untrainable” neural networks realize their potential

Even networks long considered “untrainable” can learn effectively with a little bit...

Deep-learning model predicts how fruit flies form, cell by cell

During early development, tissues and organs begin to bloom through the shifting,...

AI Papers to Read in 2025

with my series of AI paper recommendations. My long-term followers might recall the 4 previous editions (, , , and ). I’ve been away from writing for quite a while, and I couldn’t...

A faster problem-solving tool that guarantees feasibility

Managing an influence grid is like trying to unravel an infinite puzzle.Grid...

A brand new method to edit or generate images

AI image generation — which relies on neural networks to create latest...

Novel AI model inspired by neural dynamics from the brain

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed...

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