Abstract: Introduces gradient descent methods applied to meta-learning (learning how to learn) in neural networks. Meta-learning has been of interest in the machine learning field for decades because ...

ProPauli is a modern and efficient C++ library for the simulation of Quantum circuits. It relies on evolving Quantum observables backward in the Heisenberg picture, an approach that can be ...

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

As we progress into 2025, Artificial Intelligence (AI) continues to reshape industries and revolutionize how we interact with technology. For those starting their journey in AI, it’s essential to ...

Five DECADES of research into artificial neural networks have earned Geoffrey Hinton the moniker of the Godfather of artificial intelligence (AI). Work by his group at the University of Toronto laid ...

Implementing an Artificial Intelligence algorithm is difficult. Algorithm descriptions may be incomplete, inconsistent, and distributed across a number of papers, chapters and even websites. This can ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The rate of penetration (ROP) is a manifestation of drilling efficiency, and ...

Growth-transform (GT) neurons and their population models allow for independent control over the spiking statistics and the transient population dynamics while optimizing a physically plausible ...