Exploring the mathematical concept of Hilbert spaces and their applications in quantum mechanics, signal processing, and more. Introduction Hilbert spaces are a cornerstone of modern mathematics and physics, playing a crucial role in various branches of science and engineering. Named after German mathematician David Hilbert, these spaces offer a powerful...
Over the years, Google has been at the forefront of Artificial Intelligence (AI) research and development. It has been using machine learning (ML) to improve the functionality of its products and services. Recently, the company announced that it is integrating generative AI into its tools to enhance the user experience....
There are several types of non von-Neumann architectures that are currently being explored, including neural networks, cellular automata, and quantum computing.
Today's post is unusual and is more about resources for AI. Artificial Intelligence (AI) is a rapidly evolving field, with new technologies, techniques, and companies emerging all the time. Keeping up with the latest developments can be a challenge, but fortunately, there are resources available that can help. One such...
Variational autoencoders (VAEs) are a type of deep learning algorithm that can learn to generate new data that is similar to the data it was trained on.
AI this week #45
This method allows for open-vocabulary scene control, meaning users can provide a natural language description of each region in the image they want to control.
Transformers, the powerful language models that have revolutionized natural language processing, are going public via API. This means that developers can now access these models via an API and integrate them into their own applications.
In this blog post, will explain what Huber loss is, how it works, and how it compares to other loss functions commonly used in regression.
