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Explosion snags $6M on $120M valuation to expand machine learning platform

TechCrunch

Explosion , a company that has combined an open source machine learning library with a set of commercial developer tools, announced a $6 million Series A today on a $120 million valuation. “Fundamentally, Explosion is a software company and we build developer tools for AI and machine learning and natural language processing. .

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Generative AI-powered game design: Accelerating early development with Stability AI models on Amazon Bedrock

AWS Machine Learning - AI

In the competitive world of game development, staying ahead of technological advancements is crucial. Generative AI has emerged as a game changer, offering unprecedented opportunities for game designers to push boundaries and create immersive virtual worlds. Large (SD3.5 Large (SD3.5 In this post, we explore how you can use SD3.5

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Difference between Artificial Intelligence and Machine Learning

The Crazy Programmer

We are talking about machine learning and artificial intelligence. Machine which are just able to react to some actions. E.g. Google’s AlphaGo which can play board games. On the other hand Machine Learning is the ability of machines to learn on their own without being explicitly programmed.

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Scale AI gets into the synthetic data game

TechCrunch

Now, it is using that foundation to get into the synthetic data game, one of the hotter and emerging categories in AI. They announced Wednesday an early access program to Scale Synthetic , a product that machine learning engineers can use to enhance their existing real-world data sets, according to the company.

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Gwoop raises $1.8M for its esports training platform as it starts working with high school gaming leagues

TechCrunch

Earlier this year I wrote about Gwoop , a team out of Minnesota building a collection of browser-based games meant to help you get better at video games overall. Over the last few months the company has been building out “Gwoop Teams,” which, as the name implies, is built for groups training together.

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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. We also know exactly how much it costs to build training data sets from scratch. Data liquidity in an age of privacy: New data exchanges.

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The dawn of agentic AI: Are we ready for autonomous technology?

CIO

Ive spent more than 25 years working with machine learning and automation technology, and agentic AI is clearly a difficult problem to solve. A potential game-changer for and against fraud The more complicated a system is, the more vulnerable it is to attack. That requires stringing logic together across thousands of decisions.