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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"

"Our mission is to contribute to humanity through high-impact AI research and engineering."

Massive sets of data, which are referred to as big data, are analyzed by artificial intelligence systems to give insights. These insights can be trends, patterns, or predictions. When combined, big data and AI become a formidable force. They are the powers behind the innovations we are witnessing today.

As a subset, Machine Learning focuses on growing from observations and experiences. The popularity of machine learning certification courses on online training platforms indicates that this is the thing of the future. Coming to R, it is one of the major languages for data science because of its excellent visualization features, a growing ecosystem of third-party packages, and tools for machine learning interpretability. R has emerged as a fantastic tool for scientific computing and has powerful statistical libraries. Beginners commonly use R for exploring the data before applying any automated learning.

"AI Powered Research Career"

"TensorFlow Quantum is a library for hybrid quantum-classical machine learning. # A hybrid quantum-classical model. model = tf.keras.Sequential([     # Quantum circuit data comes in inside of tensors.     tf.keras.Input(shape=(), dtype=tf.dtypes.string),     # Parametrized Quantum Circuit (PQC) provides output     # data from the input circuits run on a quantum computer.   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."

Open AI Resources is a directory of open source software and open access data for the AI research community. The site was initially developed by the Allen Institute for Artificial Intelligence and InferLink Corporation, and is currently managed by AI Access Foundation. Please consider helping us out by submitting a new resource, becoming an editor, or making a financial contribution.

"Semantic Scholar is a free, nonprofit, academic search engine from AI2."

"Welcome to the website of the "Quantum AI Foundation"! We are a charity organization aiming to support education, research, development and collaboration in science and new technologies, especially Artificial Intelligence and Quantum Computing, but also other fields of Mathematics and Computer Science. The Foundation was founded on 20.11.2019 by Paweł Gora and it is registered in Poland. You can find more formal information on the website of the Polish court: https://ekrs.ms.gov."

"AI Chat is an AI chatbot that writes text. You can use it to write stories, messages, or programming code. You can use the AI chatbot as a virtual tutor in almost any subject."

"OpenAI's ChatGPT was launched in November 2022 and it crossed a user mark of over 1 million within a week of its launch. But do you know why its popularity grew so quickly in a short period? It is because of its versatility, intelligence, and ability to do conversations like humans."

"Chatbot Arena: Benchmarking LLMs in the Wild"

"A worldwide machine learning lab Machine learning research should be easily accessible and reusable. OpenML is an open platform for sharing datasets, algorithms, and experiments - to learn how to learn better, together."

"Thanks everyone for trying the Galactica demo. Read more about the research below."

"The AI Research Assistant Elicit uses language models to help you automate research workflows, like parts of literature review. Elicit can find relevant papers without perfect keyword match, summarize takeaways from the paper specific to your question, and extract key information from the papers."

"PostgresML is a complete MLOps platform in a PostgreSQL extension. Build simpler, faster and more scalable models right inside your database."

"From Science Fiction to Reality"

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