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A couple walking their dog found 10 million worth of rare coins

Popular Science

Breakthroughs, discoveries, and DIY tips sent every weekday. It's something out of a dream or TV show: a married couple takes their dog for a walk and finds a buried treasure worth $10 million. But it actually happened, back in 2013. The treasure is the Saddle Ridge Hoard, the largest ever stash of gold coins found in the United States. The couple, who go by John and Mary in the press, have been careful to obscure their identity and the exact place where they live to prevent would-be treasure hunters from showing up on their property.


How squirrels actually find all their buried nuts

Popular Science

Every fall, squirrels hide hundreds of acorns--and use smell, memory, and even theft to get them back. Every fall, squirrels stash hundreds of nuts to survive the colder winter months. Breakthroughs, discoveries, and DIY tips sent every weekday. As someone who routinely "hides" things from myself--car keys, receipts, even my phone while I'm actively talking on it--I felt instantly validated by Sarah Silverman's joke that squirrels forget where they bury 80% of their nuts. "And that's how trees are planted!"

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Senior Data Engineer at Stash - United States

#artificialintelligence

Want to help everyday Americans build wealth? Financial inequality is increasing and too many people are getting left behind. At Stash, we believe in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and achieve their financial goals. We're one of the fastest growing fintechs in the U.S. and have had another record-breaking year. In 2021 we almost doubled our headcount and valuation.


Lead Data Scientist

#artificialintelligence

Want to help everyday Americans build wealth? Financial inequality is increasing and too many people are getting left behind. At Stash, we believe in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and achieve their financial goals. We're one of the fastest growing fintechs in the U.S. and have had another record-breaking year. In 2021 we almost doubled our headcount and valuation.


Data Scientist

#artificialintelligence

Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we are passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom. Stash is looking for a Data Scientist with a passion for building reliable, scalable, and performant data systems and software. We look for strategic thinkers and creative problem solvers with a bias for execution and we'll expect you to contribute code as well as product/feature ideas from the get-go.


'Far Cry 5' review: Planting seeds

#artificialintelligence

Reinvention doesn't always have to be dramatic. Whether it's a long-running movie series, the seventh season of a TV show or the fifth entry in a popular video game franchise, subtle changes can be made to feel radical. In Far Cry 5, Ubisoft managed to reinvent its massively popular open world first-person shooter without losing much, if any, of what made the franchise such a hit in the first place simply by tearing down the artifice and placing an emphasis on player freedom. Ubisoft trusts players to find the fun this time around, and it pays off in a big way. On its most basic level, Far Cry 5 is about the takeover of the fictional Hope County, Montana by a doomsday cult that calls itself The Project at Eden's Gate.


This AI Librarian Organizes Your Bookmarks With Machine Learning

#artificialintelligence

The internet bookmark aspires to be the digital equivalent of the sticky note you paste on an important page in a college textbook. But that's where the metaphor falls apart. If the internet is a college textbook, it's an infinitely dense one, where every chapter covers a different subject, and someone has stuck a sticky note on every page. The problem that nearly every bookmarking site inevitably needs to solve is one of organization. Pinterest does this with boards; other bookmarking services, like Pinboard, do so with tags.


This AI Librarian Organizes Your Bookmarks With Machine Learning

#artificialintelligence

The internet bookmark aspires to be the digital equivalent of the sticky note you paste on an important page in a college textbook. But that's where the metaphor falls apart. If the internet is a college textbook, it's an infinitely dense one, where every chapter covers a different subject, and someone has stuck a sticky note on every page. The problem that nearly every bookmarking site inevitably needs to solve is one of organization. Pinterest does this with boards; other bookmarking services, like Pinboard, do so with tags.


Stash.ai - Product Hunt

#artificialintelligence

We built Stash with the idea that there's a lot of content on the web that we want to save, but current save-for-later services focus mainly on articles. There are also the songs we find on Soundcloud, the places we want to eat at on Yelp, the books we want to read on Goodreads - just to name a few. We wanted to build one place to store all of that information, while effortlessly keeping it organized. Using Stash, users are able to save links from anywhere - whether it's from a browser, while using other apps, or through a built-in search add mechanism. In the process, we also wanted to to solve a lot of long-overdue problems with current bookmarking solutions.


Stanford Hew istic Programming Project First Version October 1982 Memo HPP-82-27

AI Classics

MRS is a knowledge representation systmt intended for use by Al researchers in building expert systems. It offers a diverse repertory of commands for asserting and retrieving information, with various representatiuns (e.g. The initial system includes a vocabulary of concepts and facts about logic, sets, mappings, arithmetic, and procedures. What differentiates MRS from many other knowledge representation systems is its ability to observe, reason about, and control its own activity. In MRS the system is treated as a domain in its own right.