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Janos Haits

Main Page - Time Machine - 0 views

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    "Explore simultaneously in space and time with Time Machine Each Time Machine on this page captures a process in extreme detail over space and time, with billions of pixels of explorable resolution. Choose a time machine and zoom into the image while traveling backwards or forwards through time. Select a Time Warp and the time machine's authors will take you on a guided space-time tour with text annotations explaining what you are viewing. You can even learn how to create your own Time Machines and Warps."
Janos Haits

TensorFlow Quantum - 1 views

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    "TensorFlow Quantum is a library for hybrid quantum-classical machine learning. TensorFlow Quantum (TFQ) is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models. Research in quantum algorithms and applications can leverage Google's quantum computing frameworks, all from within TensorFlow."
Janos Haits

Numenta | NuPIC - 0 views

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    Numenta.org Platform for Intelligent Computing The mission of this project is to build and support a community interested in machine learning and machine intelligence based on modeling the neocortex and the principles upon which it works.
Abdelrahman Ogail

Genetic programming - Wikipedia, the free encyclopedia - 0 views

  • In artificial intelligence, genetic programming (GP) is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user-defined task. It is a specialization of genetic algorithms (GA) where each individual is a computer program. Therefore it is a machine learning technique used to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task.
  • In artificial intelligence, genetic programming (GP) is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user-defined task. It is a specialization of genetic algorithms (GA) where each individual is a computer program. Therefore it is a machine learning technique used to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task.
Janos Haits

Research at Google - 0 views

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    "We are a machine intelligence team focused on deep learning. We advance the state of the art in order to have a positive impact on the world."
Janos Haits

Magenta - 0 views

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    "Magenta is a Google Brain project to ask and answer the questions, "Can we use machine learning to create compelling art and music? If so, how? If not, why not?" Our work is done in TensorFlow, and we regularly release our models and tools in open source. These are accompanied by demos, tutorial blog postings and technical papers. To follow our progress, watch our GitHub and join our discussion group."
Janos Haits

TensorFlow -- an Open Source Software Library for Machine Intelligence - 0 views

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    "TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally devel"
Janos Haits

Artificial Intelligence (AI) Machine Learning Advanced Technology Platform - 0 views

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    "Our 2021.AI platform offers everything your team needs in one open platform, allowing your organization to manage team collaboration across heterogeneous infrastructure efficiently and deploy models effectively. Should you decide that you do not have the appetite to build such capacity and capabilities in-house, we will offer you data sciences as a service, ensuring your participation in harvesting and maximizing business benefits with a minimal organizational imprint."
Janos Haits

Qwiklabs - Hands-On Cloud Training - 0 views

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    "We give you temporary credentials to Google Cloud Platform and Amazon Web Services, so you can learn the cloud using the real thing - no simulations. From 30-minute individual labs to multi-day courses, from introductory level to expert, instructor-led or self-paced, with topics like machine learning, security, infrastructure, app dev, and more, we've got you covered."
Janos Haits

Colaboratory - Google - 0 views

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    "Colaboratory is a research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use. For more information, see our FAQ. Click the button below to be added to the waitlist"
Janos Haits

deeplearn.js - 0 views

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    "deeplearn.js a hardware-accelerated machine intelligence library for the web"
Janos Haits

Quantum - Google Research - 0 views

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    "A research effort from Google AI that aims to build quantum processors and develop novel quantum algorithms to dramatically accelerate computational tasks for machine learning."
Janos Haits

Wekinator | Software for real-time, interactive machine learning - 0 views

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    "The Wekinator allows users to build new interactive systems by demonstrating human actions and computer responses, instead of writing programming code."
Janos Haits

Coze: Next-Gen AI Chatbot Developing Platform - 0 views

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    "Coze your way to AI bot creation Next-generation AI chatbot building platform. Quickly create bots without coding and publish them on various platforms"
Abdelrahman Ogail

Genetic algorithm - Wikipedia, the free encyclopedia - 0 views

  • A genetic algorithm (GA) is a search technique used in computing to find exact or approximate solutions to optimization and search problems. Genetic algorithms are categorized as global search heuristics. Genetic algorithms are a particular class of evolutionary algorithms (EA) that use techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover (also called recombination).
  • A typical genetic algorithm requires: a genetic representation of the solution domain, a fitness function to evaluate the solution domain.
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    GE are primary used in Learning in AI
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