What this bald eagle and neural network depiction have to do with future U.S. AI strategy

The White House Office of Science and Technology Policy (OSTP) today announced the launch of the National Artificial Intelligence Initiative Office, an organization that will coordinate and oversee national AI policy initiatives for the United States government. “The Office is charged with overseeing and implementing the United States national AI strategy and will serve as the central hub for federal coordination and collaboration in AI research and policymaking across the government, as well as with private sector, academia, and other stakeholders,” according to a White House statement.

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Google trained a trillion-parameter AI language model

Parameters are the key to machine learning algorithms. They’re the part of the model that’s learned from historical training data. Generally speaking, in the language domain, the correlation between the number of parameters and sophistication has held up remarkably well. For example, OpenAI’s GPT-3 — one of the largest language models ever trained, at 175 billion parameters — can make primitive analogies, generate recipes, and even complete basic code.

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Workato raises $110 million for its business workflow automation platform

Workato, which offers an integration and automation platform for businesses, today announced it has raised $110 million at a post-money valuation of $1.7 billion. The company says it will put the funds toward product innovation and technology development, expanding its customer success program, launching its first user conference in 2021, and investing in scaling teams in the U.S. and internationally.

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M-Files raises $80 million for AI that automates enterprise information management

M-Files announced it has raised $80 million as the Finnish company develops AI that automates the messy process of organizing and tracking internal documents and data for enterprises. Bregal Milestone led the round, which included previous investors Partech, Tesi, and Draper Esprit.

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What is a Time Series GAN?

This post was originally published by Sejuti Das at Analytics India Magazine Identifying anomalies in time series data can be daunting, thanks to the vague definition of anomalies, lack of labelled data, and highly complex…

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