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Sequoia picks its horse in the consumer carbon offset market, leading a $2.5 million round for Joro

TechCrunch

The Princeton undergraduate saw the film in 2011, and it started her on the journey that would lead her to launch Joro , the Sequoia-backed startup that monitors consumer spending to offer tips on how to offset and reduce a user’s carbon footprint. .” Aspiration can now tell you the ‘social impact’ of your monthly spending.

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The End of Programming as We Know It

O'Reilly Media - Ideas

Consumer operating systems were also a big part of the story. That job was effectively encapsulated in the operating system. Big data, web services, and cloud computing established a kind of internet operating system. There were more programmers, not fewer This was far from the end of programming, though.

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Who Owns Your Face? The Legal Fight for Identity In The Age of AI

Crunchbase News

We all see our personal identity as sacrosanct, but the pace at which technology is evolving and the legal system desperately trying to catch up challenges our assumption. Transparency requirements, mandatory legal review periods, and caps on contract duration could prevent individuals from unintentionally signing away their rights.

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AI agents will transform business processes — and magnify risks

CIO

When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. NASA’s Jet Propulsion Laboratory, for example, uses multiagent systems to ensure its clean rooms stay clean so nothing contaminates flight hardware bound for other planets.

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Generative AI is pushing unstructured data to center stage

CIO

Since those early days, the ratio of structured and unstructured data has shifted as the Internet, social media, digital cameras, smartphones, digital communications, etc. much of it is still stored in physical, or analog, formats such as paper, tape, film, microfiche, etc. have encouraged the creation of unstructured data.

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Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

Altexsoft

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

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An Agent of Change

O'Reilly Media - Ideas

Stresses on a system reveal that some of our constants were really variables in disguise. Instead of money, it’s your social network that gets you through the day. If you don’t have systems to tell you when your sales numbers are abnormal, you may miss information that you already had in-hand.