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JuMP: An AML Based Modeling Language Embedded In Julia For Mathematical...

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Optimization as a fundamental technology is a universal concept that finds application in almost every discipline, including business, engineering, economics. It is defined as...

MIT Researchers Open-Sourced ‘MADDNESS’: An AI Algorithm That Speeds Up Machine...

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Matrix multiplication is one of the essential operations in machine learning (ML). However, these operations are extensively computationally costly due to the extensive use...

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

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

Researchers from UC Berkeley and CMU Introduce a Task-Agnostic Reinforcement Learning...

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

Optimizers in Keras Part – 1

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

Understanding Neuromorphic Computing: The Next Generation of AI

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

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

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