Search results
Results from the WOW.Com Content Network
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...
Groq was founded in 2016 by a group of former Google engineers, led by Jonathan Ross, one of the designers of the Tensor Processing Unit (TPU), an AI accelerator ASIC, and Douglas Wightman, an entrepreneur and former engineer at Google X (known as X Development), who served as the company’s first CEO.
An AI accelerator, deep learning processor or neural processing unit (NPU) is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.
Google wants your help in preserving and restoring coral reefs, and has designed a platform to help with this mission in mere minutes. All you have to do is tune in.Called "Calling in Our Corals ...
Google for Startups (formerly known as Google for Entrepreneurs) is a startup program launched by Google in 2011. It consists of over 50 co-working spaces and accelerators in 125 countries, and provides hands-on lessons for aspiring entrepreneurs.
Google Web Accelerator was a web accelerator produced by Google. It used client software installed on the user's computer, as well as data caching on Google's servers, to speed up page load times by means of data compression , prefetching of content, and sharing cached data between users.
Carlos Manuel Duarte is a marine ecologist conducting research on marine ecosystems globally, from polar to the tropical ocean and from near-shore to deep-sea ecosystems. . His research addresses biodiversity in the oceans, the impacts of human activity on marine ecosystems, and the capacity of marine ecosystems to recover from these impa
JAX is a machine learning framework for transforming numerical functions developed by Google with some contributions from Nvidia. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).