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Sierra Space’s inflatable habitat blew up and it is a good thing

Dataconomy

It’s not often you hear about a successful failure , but that’s exactly what happened with Sierra Space’s Large Integrated Flexible Environment (LIFE) habitat. This isn’t your average houseplant gone rogue; LIFE is a prototype inflatable module designed to one day house astronauts in space.

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LK-99: What if we have room temperature superconductors

Dataconomy

For decades, researchers have strived to unlock its full potential, seeking to discover materials that can exhibit superconducting properties at room temperature. Join us as we explore the wonders of this cutting-edge material and its potential to propel humanity toward an electrifying new future. What is LK-99?

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How Deep Learning Technology Improves the Efficiency of Parking Management Systems

Smart Data Collective

It is an activity that needs human effort, takes a lot of time, and is wasteful overall. Utilizing a parking management system may assist a company in lowering the administrative expenses associated with parking and lessening their parking space’s influence on the neighbourhood in which they are located. Nearly two-thirds of U.S.

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Meet the Researcher with CDS PhD student Vishakh Padmakumar

NYU Center for Data Science

He researches NLP and human-AI collaboration and is advised by Assistant Professor of Computer Science & Data Science He He. Recently Vishakh organized a Student Research Workshop at ACL and had a paper accepted to ICML. We caught up with him to discuss these accomplishments, his research, and his experience at CDS.

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Meet the winners of the Pale Blue Dot challenge

DrivenData Labs

One critical tool for understanding and improving the urgent challenges facing our world is Earth observation (EO) data, meaning data that is gathered in outer space about life here on Earth! These states also have in common the practice of consuming fish and other seafood, making the presence of microplastics a threat to human health.

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The 40-hour LLM application roadmap: Learn to build your own LLM applications from scratch

Data Science Dojo

Large language models (LLMs) are a type of generative AI that can generate text that is often indistinguishable from human-written text. Embeddings: Embeddings are a type of representation that is used to encode words or phrases into a vector space. This can be used for a variety of purposes, such as travel, business, and education.

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Top 5 Learnings From a Year With LLMs in a Business Environment

Towards AI

project like the one I just described would have, in the past — before the LLM era — taken us around three to four data scientists doing pure research on the natural language processing side of tasks for between nine to twelve months. The scope of the project grows.