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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,... show more

Richard Devine

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16,626 views • 11 months ago •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:

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:

CherryAI Robotics

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Baboon's thoughts as music? As you already know, ELVIS has a BCI implant. This 400-channel device allows not only the reception but also the transmission of neural activity data. Although this data is complex, it can be interpreted in various ways. In this experiment, an algorithm converts baboon’s EEG into a MIDI signal that can be used with any virtual instrument - in this case, Ableton along with a simple instrument featuring an arpeggiator effect. The selected brain activity file is converted into a set of MIDI signals that activate specific notes. With adjustable quantization and harmony settings, it’s possible to create beautiful melodies. This setup allows the use of virtual instruments to express the thoughts and feelings of ELVIS in sound. So, the question is: does ELVIS need a record label?

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ELVIS APE

79,831 views • 1 year ago

We have data in abundance now. The real value isn't within the RAW Data, but is this data validated and verified? More value in data refinement. We have a solution for this which is validated by 6 years of research and development with the Department of Defense Now securing and validating commercial data from partners like Common Crawl and Panasonic

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Most Americans don’t realize the incredible amount of private data that is being harvested from their smartphones by third parties, says Joe Weil, CEO of Unplugged Unplugged. What’s even worse is that this advertising data is not protected by the Fourth Amendment, he says. Data brokers sell this data freely, and just by applying a few filters, anyone—foreign governments, intelligence services, criminal cartels—can easily triangulate the data to surveil and target individual people or groups of people.

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Use this FREE tool to analyze data in 10 sec. This tool is used by more than 500,000 researchers. 1. Go to 2. Click on Data Analysis and upload your data file. 3. Write your prompt for data analysis. 4. For example, generate graphs from data. 5. AnswerThis will generate variety of graphs 6. It also generates an insightful data analysis report. You can download the graphs and the report. Try AnswerThis today. It’s FREE.

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Solana ID 🪷

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This is the humming sound that residents in Sterling,Virginia hear coming from a Data center right next to the homes of families with children that live and play there. They also see black particles coming from the Data Center along with issues with their water pressure.

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This is what Russia drives people to: a man built a “Telegram pager” that works without internet on the device The system works without mobile internet. It consists of two parts: a home server with internet access and a portable “pager” that receives data via a mesh network (LoRa). It supports only text messages — no photos, videos, or files.

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New JavaScript short course: Build a full-stack web application that uses RAG in JavaScript RAG Web Apps with LlamaIndex, taught by Laurie Voss, VP of Developer Relations at LlamaIndex 🦙 and npm co-founder. - Build a RAG application for querying your own data - Develop tools to interact with multiple data sources using an agent that intelligently selects the right tool for your queries - Create a full-stack web app that can chat with your data - Dig further into production-ready techniques, like how to persist your data so you aren’t constantly reindexing, and try the create-llama command line tool from LlamaIndex You can sign up here:

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Andrew Ng

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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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The All-In Podcast

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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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Ilir Aliu

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This is the real reason why Hollywood is panicking. Shots like this used to cost millions with huge crews, big studios and months of work. Now? You can create it from your laptop. The cost is basically pocket change. This is the true power of AI. Anyone can build something epic.

This is the real reason why Hollywood is panicking. Shots like this used to cost millions with huge crews, big studios and months of work. Now? You can create it from your laptop. The cost is basically pocket change. This is the true power of AI. Anyone can build something epic.

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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)

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)

Kab

69,681 views • 1 year ago

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.

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 views • 1 year ago

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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Andrew Ng

118,937 views • 1 year ago

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,332 views • 9 months ago