Machine Learning | Quantum Machine Learning

Google develops language model with more than one trillion parameters

For machine learning algorithms, parameters are the building blocks. They are an important part of the historical training data. In the language domain, sophistication generally correlates with a higher number of parameters, and this has been proven to be a reliable standard. OpenAI’s GPT-3 has 175 billion parameters, making it one of the largest language models ever trained. It can make primitive analogies, generate recipes, and even code at a basic level.

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Algorithms | Machine Learning | Quantum Machine Learning

Qiskit + PyTorch + Python = Quantum Machine Learning. Hybrid Quantum Machine Learning is getting easier.

For many in the classical Machine Learning community the question is when Quantum Computing gets pulled into the mix to create Hybrid Learning networks that consist of both classical and quantum components. As more and more researchers are looking at this lucrative area it should come as no surprise that it is possible to combine the classical and the quantum world to potentially exploit the best of both worlds.

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Artificial Intelligence | Machine Learning

Microsoft’s AI Business School

We like to surface new learning materials and we came across Microsoft’s very business focused AI/Machine Learning portal which helps understand the importance of using AI in a variety of sectors from Retail to education. Each pathway of learning is tailored to a specific theme. There are learning paths for Financial Services, Healthcare, Retail, Manufacturing, Government and Education.

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Machine Learning | Quantum Companies | Quantum Computing News | Quantum Platforms

Canada’s Quantum Computing Company D-wave launches Leap 2 for Quantum Applications

Unless you have been sleeping you will have likely heard of the Quantum Computing Company D-wave and their Quantum Annealing computer – which works a little bit differently to gate based Quantum Computers such as IBM and Google. One of the first to commercialise quantum computing technology D-wave have steadily been increasing their Qubit count […]

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Machine Learning | Quantum Machine Learning | Quantum Tutorial

Quantum Assisted Feed-Forward Neural Network For MNIST Image Classification

This post discusses the potential of using Quantum Variational Circuits as feature extractors and as additionally as classification layers in a classical neural network. There is implementation in qiskit with code such that the user can also run working code. It’s assumed that the reader will have a basic understanding of machine learning. Regarding requisite […]

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Machine Learning | Quantum Computing | Quantum Computing Companies

Quantum Computing Company of the Day: Multiverse Computing

We at QuantumZeitgeist love our origination stories of the names of the companies we are profiling. Today brings us another creatively named business “Multiverse Computing”, which for many is a nod to David Deutsch, who is one of the progenitors of the Multiverse (literally multiple universes). What does Multiverse Do? Multiverse provides hyper-efficient software for […]

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