Cornell University and NTT Research Introduce Physical Neural Networks (PNNs): A Universal Framework that...

DNNs (Deep neural networks) have proven to be of great use in solving various complex problems in image and speech recognition and...

Researchers from UC Berkeley and CMU Introduce a Task-Agnostic Reinforcement Learning (RL) Method to...

Applying Deep Learning techniques to complex control tasks depends on simulations before transferring models to the real world. However, there is a...

Optimizers in Keras Part – 1

You have heard of an optimization technique named Gradient Descent. Now, suppose you are dealing with a massive dataset having one million...

Understanding Neuromorphic Computing: The Next Generation of AI

Neuromorphic computing, as the name suggests, uses a model that’s inspired by the workings of the brain. The brain makes an appealing...

Penrose: A system to convert complex mathematical equations into simple visual diagrams

Researchers from CMU and Technion developed Penrose. It is named Penrose, after the renowned mathematician and physicist Roger Penrose. The unavailability of...
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