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...
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...
Neural networks have been on the forefront of AI advancements, enabling the whole lot from natural language processing and computer vision to strategic gameplay, healthcare, coding, art and even self-driving cars. Nevertheless, as these...