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Pocket SCÍON is a portable device that captures biofeedback data sourced from contact with living organisms. This data is used by an onboard sound engine to generate evolving soundscapes, a range of MIDI messages and biofeedback data which is made accessible via the accompanying desktop application. Anyone can create,...

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Richard Devine

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16,626 görüntüleme • 10 ay önce •via X (Twitter)

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1/ Cherry AI Robotics is building the world’s first data layer for robotics. Every autonomous robot needs a neural network to operate, which requires massive domain-specific data. Cherry AI Robotics has an entire ecosystem of products with 200k+ communities and 800k+ users. These products generate large amounts of data, which is parsed to create valuable data sets for robotics. Learn more:

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David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

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Collecting data is a PAAAAAAAIN❗ If only there were a solution out there... (𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 😱) Jannik Grothusen, researchers and founder in stealth mode 👀 from TU Munich, has created a new tool that helps collect data for robots to learn how to perform tasks. It’s inspired by a device from Stanford, but it’s even better! Here’s why: ✅ It can collect and process data in real-time, meaning no delays. ✅ It’s super easy to control, so collecting data is much faster and simpler. ✅ It can be used with different robot parts because of its smart, modular design. Best of all, this amazing tool is 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲, so anyone can use it or improve it! Github: The system is inspired by Cheng Chi; Universal Manipulation Interface (UMI). Credit: Jannik Grothusen

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We've come to expect that all non-human technology being shown to us is related to serious matters like preparation for the Shift or intervention in dark plans, but evidently this is not always true. Pleiadians say this is Sirian technology that collects data used to make music. ------- #NEIOH - "This is a monitoring device from Sirius Nopplia. This is not Galactic Federation but rather one of our friends that is stationary in a large craft above the area. Friends from Sirius enjoy exploring and traveling extensively. They leave their crafts stationary for long periods to see the area in body form only. Further up into higher densities they enjoy clearing debris as they emit frequencies from their fingertips. This is a device that collects images and sound frequencies to create a type of music that is not heard on Earth. It is made with tones that are blended from several types of media. Very nice and soothing and enjoyed by many races." Washington State - January 28, 2025 (Video by Mr. MBB333)
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We've come to expect that all non-human technology being shown to us is related to serious matters like preparation for the Shift or intervention in dark plans, but evidently this is not always true. Pleiadians say this is Sirian technology that collects data used to make music. ------- #NEIOH - "This is a monitoring device from Sirius Nopplia. This is not Galactic Federation but rather one of our friends that is stationary in a large craft above the area. Friends from Sirius enjoy exploring and traveling extensively. They leave their crafts stationary for long periods to see the area in body form only. Further up into higher densities they enjoy clearing debris as they emit frequencies from their fingertips. This is a device that collects images and sound frequencies to create a type of music that is not heard on Earth. It is made with tones that are blended from several types of media. Very nice and soothing and enjoyed by many races." Washington State - January 28, 2025 (Video by Mr. MBB333)

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Bad data costs the US economy 3.1 Trillion dollars a year. What many fail to see is that bad data behind a secure firewall is still bad data. Incomplete or missing data affects industries into the trillions of dollars annually. Even worse, bad data can cost human life when faulty information is used in engineering, automotive, aerospace and countless other industries worldwide. Constellation Network $DAG has developed a distributed ledger technology to embrace the vision of a connected world, powered by big data, by creating the infrastructure to securely validate and protect one of the world’s most valuable resources.
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Bad data costs the US economy 3.1 Trillion dollars a year. What many fail to see is that bad data behind a secure firewall is still bad data. Incomplete or missing data affects industries into the trillions of dollars annually. Even worse, bad data can cost human life when faulty information is used in engineering, automotive, aerospace and countless other industries worldwide. Constellation Network $DAG has developed a distributed ledger technology to embrace the vision of a connected world, powered by big data, by creating the infrastructure to securely validate and protect one of the world’s most valuable resources.

Constellation Network

13,502 görüntüleme • 1 yıl önce

We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:
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We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:

Andrew Ng

118,937 görüntüleme • 1 yıl önce