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Allen Institute for AI raises $30M fund for incubator to boost more startups amid AI gold rush

Flipboard

As other venture capital firms and startup studios jump on the AI hype train, leaders at AI2 say their incubator is uniquely positioned to take advantage of AI tailwinds. “The [Generative AI] era will produce some very special and enduring companies,” Matt McIlwain, managing director at Madrona, wrote in a blog post.

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning Blog

The future of generative AI Looking ahead, customers will build entirely new categories of generative AI-powered applications and experiences with the latest generation of models. There are so many possibilities that will be realized by taking full advantage of all generative AI has to offer through Amazon Bedrock.

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Our Next Phase of Growth: Enterprise Data Catalogs

Alation

What started six years ago as one startup trying to improve the way people work with data has become a full-blown market category – Machine Learning Data Catalogs. The Alation Data Catalog is taking years of data lake and self-service analytics investments and driving them from investments to insights.

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Travelogue: Defined.ai at ICASSP 2022 – Part 2: My Top 3 Papers of ICASSP 2022

Defined.ai blog

Speaker Generation Daisy Stanton, Matt Shannon, Soroosh Mariooryad, RJ Skerry-Ryan, Eric Battenberg, Tom Bagby and David Kao Google Research, USA See paper here. Nevertheless, the article takes a stab at it. Bush or Barack Obama, even though they may fall into the same Fitzpatrick categories. We are a data company after all.

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Redesigning Snorkel’s interactive machine learning systems

Snorkel AI

The opportunity and the problem As our customers expand their machine learning initiatives, they take on increasingly complex machine learning projects and use increasingly sophisticated techniques. This complexity can take many forms. How long do they take to load in RAM or GPU? What format is this data stored in?

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Redesigning Snorkel’s interactive machine learning systems

Snorkel AI

The opportunity and the problem As our customers expand their machine learning initiatives, they take on increasingly complex machine learning projects and use increasingly sophisticated techniques. This complexity can take many forms. How long do they take to load in RAM or GPU? What format is this data stored in?

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Meeting customer needs with our ML platform redesign

Snorkel AI

The opportunity and the problem As our customers expand their machine learning initiatives, they take on increasingly complex machine learning projects and use increasingly sophisticated techniques. This complexity can take many forms. How long do they take to load in RAM or GPU? What format is this data stored in?

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