As the company behind Stable Diffusion, Stability AI is best recognized for developing some of the most well-known state-of-the-art AI models for a variety of applications, including language, vision, audio, 3D modeling, etc. The $1 billion...
GPT-4 has been released, and it is already in the headlines. It is the technology behind the popular ChatGPT developed by OpenAI which can generate textual information and imitate humans in question answering. After the success...
This Article Is Based On The Research Paper 'EXSUM: From Local Explanations to Model Understanding'. All Credit For This Research Goes To The Researchers...
This research summary is based on the paper 'projUNN: efficient method for training deep networks with unitary matrices'
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This research summary is based on the paper 'Data‑driven discovery of Green’s functions with human‑understandable deep learning'
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Mathematicians...
Recent developments in machine learning have resulted in more complicated predictive models, typically at the expense of interpretability. Interpretability is frequently required, especially in...
Probability is concerned with interpreting and comprehending life's random events. Randomness and uncertainty are present in our everyday lives and every field of research,...
Optimization as a fundamental technology is a universal concept that finds application in almost every discipline, including business, engineering, economics. It is defined as...
Matrix multiplication is one of the essential operations in machine learning (ML). However, these operations are extensively computationally costly due to the extensive use...
Applying Deep Learning techniques to complex control tasks depends on simulations before transferring models to the real world. However, there is a challenging “reality...
You have heard of an optimization technique named Gradient Descent. Now, suppose you are dealing with a massive dataset having one million data points....
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