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OctoML raises $28M Series B for its machine learning acceleration platform

TechCrunch

OctoML , a Seattle-based startup that offers a machine learning acceleration platform build on top of the open-source Apache TVM compiler framework project , today announced that it has raised a $28 million Series B funding round led by Addition.

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V7 snaps up $33M to automate training data for computer vision AI models

TechCrunch

It’s only as good as the models and data used to train it, so there is a need for sourcing and ingesting ever-larger data troves. But annotating and manipulating that training data takes a lot of time and money, slowing down the work or overall effectiveness, and maybe both. V7 even lays out how the two services compare.)

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American Honda IT to fuel innovation with generative AI

CIO

Generative AI takes a front seat As for that AI strategy, American Honda’s deep experience with machine learning positions it well to capitalize on the next wave: generative AI. Training of its workforce is the other major determinant of how successful American Honda’s generative AI program will be, Brizendine adds.

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What is the Importance of Machine Learning?

Openxcell

MACHINE LEARNING- the most hyped technology these days due to its ability to automate tasks, detect patterns and learn from the data. In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. What is Machine Learning?

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Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

Altexsoft

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

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What is NLP? Natural language processing explained

CIO

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. Search engines, machine translation services, and voice assistants are all powered by the technology.

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Helm.ai snags $31M to scale its ‘unsupervised’ autonomous driving software

TechCrunch

Autonomous vehicle developers often rely on a combination of simulation and on-road testing, along with reams of datasets that have been annotated by humans, to train and improve the so-called “brain” of the self-driving vehicle. Its approach is the noteworthy part. to pitch to a diverse set of customers. ” Helm.ai