neural networks

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...

Essential Review Papers on Physics-Informed Neural Networks: A Curated Guide for Practitioners

Staying on top of a fast-growing research field is rarely easy. I face this challenge firsthand as a practitioner in Physics-Informed Neural Networks (PINNs). Latest papers, be they algorithmic advancements or cutting-edge applications, are published...

The subsequent generation of neural networks could live in hardware

Once the network has been trained, though, things get way, way cheaper. Petersen compared his logic-gate networks with a cohort of other ultra-efficient networks, akin to binary neural networks, which use simplified perceptrons that...

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