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We're presenting the first fully-wireless Miniscope at #SfN2023! Wireless power/data enables long-term neural recording! Miniscope Team Stop by our poster on Nov. 13, 8-12am, WW66. Untethering open-source Miniscopes with wireless power and data transfer

Takuya SASATANI

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61,959 Aufrufe • vor 2 Jahren •via X (Twitter)

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We're presenting Miniscope Zero, the first fully-wireless Miniscope, at #SfN25! Wireless power + data enable long-term neural recordings from multiple freely behaving animals. Miniscope Team Poster: Nov. 17, 1–5 pm, ZZ7, Video:

We're presenting Miniscope Zero, the first fully-wireless Miniscope, at #SfN25! Wireless power + data enable long-term neural recordings from multiple freely behaving animals. Miniscope Team Poster: Nov. 17, 1–5 pm, ZZ7, Video:

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Back in February, Paul Renner called for a moratorium on AI data centers in Florida. He was right. These massive AI data centers threaten our power grid, drain our water, raise costs on families, and hand Florida’s future to Big Tech. Florida First means people first. Stand with Renner. Stop the AI data center takeover. #BigTechByron #DataCenterDonalds #BankFraudByron

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We’re thrilled to welcome Noon Energy to OpenVPP’s $OVPP Open Energy Alliance! In our recent conversation with Aric Saunders, EVP of Commercialization at Noon Energy, we explored how Noon’s ultra-long-duration energy storage technology is redefining resilience for AI infrastructure, data centers, and global electrification. By delivering clean, reliable, 24/7/365 power, Noon enables rapid “speed-to-power” deployment for the growing demands of AI and data-intensive operations, while advancing a fully electrified, decarbonized energy future. Together, we’re collaborating on on-chain energy receipts that trace the origination of power, capture time-series data on stored excess capacity, and unlock new revenue streams for strategic offtakers, ranging from local grid operators to cross-border energy markets. LinkedIn Learn more about Noon Energy’s groundbreaking work at

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OpenVPP

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Professor David Clements blows the lid off of Dominion Voting Systems and the stolen 2020 Election. Experts uncovered remote access logs and data transfers via built-in modems. Despite Dominion's repeated assurances to legislatures and courts that their systems are "air-gapped." Dominion machines come equipped with wireless modems, which enables remote access, altering vote tallies, or inject malware without physical access. Other problems include outdated software, lack of encryption on data transmissions, vulnerabilities to insider threats, and "intentional backdoors," which makes them susceptible to manipulation by foreign actors or domestic fraudsters.

Professor David Clements blows the lid off of Dominion Voting Systems and the stolen 2020 Election. Experts uncovered remote access logs and data transfers via built-in modems. Despite Dominion's repeated assurances to legislatures and courts that their systems are "air-gapped." Dominion machines come equipped with wireless modems, which enables remote access, altering vote tallies, or inject malware without physical access. Other problems include outdated software, lack of encryption on data transmissions, vulnerabilities to insider threats, and "intentional backdoors," which makes them susceptible to manipulation by foreign actors or domestic fraudsters.

The SCIF

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PARTNERSHIP: Traditional mobile networks are struggling to adapt to the digital-first world of today. Prices keep rising, coverage gets worse, and customer data is sold to the highest bidder. Meet World Mobile, the AirBNB of telco, and the first web3 mobile network, fueled by $WMTX, which enables its users to reclaim power over their connectivity. World Mobile is a decentralized wireless network in which all network infrastructure is owned and operated by its community, powered by a sharing economy i.e. operators earn a share of the revenue. When disaster struck North Carolina, following the impact of Hurricane Helene, World Mobile deployed its decentralised wireless technology to restore critical connectivity, empowering communities when traditional networks failed. Watch the full story unfold in “Connecting the Disconnected” and witness how web3 innovation brings hope in times of crisis. Know more on and tune in to their live show at 4:30 pm EST on Mario Nawfal. Disclaimer: This is a paid partnership, DYOR as this is not financial advice.

PARTNERSHIP: Traditional mobile networks are struggling to adapt to the digital-first world of today. Prices keep rising, coverage gets worse, and customer data is sold to the highest bidder. Meet World Mobile, the AirBNB of telco, and the first web3 mobile network, fueled by $WMTX, which enables its users to reclaim power over their connectivity. World Mobile is a decentralized wireless network in which all network infrastructure is owned and operated by its community, powered by a sharing economy i.e. operators earn a share of the revenue. When disaster struck North Carolina, following the impact of Hurricane Helene, World Mobile deployed its decentralised wireless technology to restore critical connectivity, empowering communities when traditional networks failed. Watch the full story unfold in “Connecting the Disconnected” and witness how web3 innovation brings hope in times of crisis. Know more on and tune in to their live show at 4:30 pm EST on Mario Nawfal. Disclaimer: This is a paid partnership, DYOR as this is not financial advice.

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Our first ride in the Tesla Cybercab: • Fully Autonomous Vehicle • No Pedals or Steering Wheel • Close to 300 miles of real-world range • No Charge Port. Exclusively wireless charging • 20.5” Touch Screen • Power Butterfly Doors • Power trunk • 20 cents per mile operating cost. • Shares batteries, cameras, computers with Optimus Bot and other Tesla products • Use for personal use, or hire them out on the Tesla Robotaxi network to earn income. • You will be able to sleep, do work, and more while the vehicle drives you around. • Production starting early 2026. Cost: ~$30,000.

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Aalo was founded 3 years ago. On July 4th, we turned on our first nuclear reactor. Today, we're issuing an open call to technical and non-technical talent: help us unlock global energy abundance. Over the coming years, we will scale assembly-line manufacturing of modular power plants, starting with powering data centers and ending with energy abundance. View over 50 open roles spanning engineering, regulatory, manufacturing, software, and more at

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Aalo Atomics

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🚨 New Open Source Release Today we are releasing Ego-OSCAR, an open-source head-mounted stereo-inertial capture device for egocentric data collection in the wild, together with a corresponding dataset of 550 hours captured across 100+ environments. Egocentric data is still an active research problem, and we believe an open and accessible foundation will empower everyone to participate, experiment, build, and contribute to this space. This continues our past efforts, where we open-sourced Stera, a full-stack capture and processing pipeline for RGB-D data. Ego-OSCAR builds on that lineage and offers a fully open-source stereo-inertial capture stack for anyone working on human-to-robot transfer. We make three core contributions today with Ego-OSCAR: 1. An open-hardware capture device with full CAD, wiring, and assembly documentation, with a complete bill of materials under USD 200 and using commercially available components and 3D-printed parts. 2. An open-source capture pipeline (recording daemon, IMU sampler, time-sync tooling, watchdog firmware). 3. The Ego-OSCAR-550h dataset, approximately 550 hours of egocentric stereo video per camera with synchronized IMU, released to validate the device at deployment scale. Everything is open-source, including the hardware designs, capture pipeline, firmware, and the downstream dataset. Read the full blog at:

🚨 New Open Source Release Today we are releasing Ego-OSCAR, an open-source head-mounted stereo-inertial capture device for egocentric data collection in the wild, together with a corresponding dataset of 550 hours captured across 100+ environments. Egocentric data is still an active research problem, and we believe an open and accessible foundation will empower everyone to participate, experiment, build, and contribute to this space. This continues our past efforts, where we open-sourced Stera, a full-stack capture and processing pipeline for RGB-D data. Ego-OSCAR builds on that lineage and offers a fully open-source stereo-inertial capture stack for anyone working on human-to-robot transfer. We make three core contributions today with Ego-OSCAR: 1. An open-hardware capture device with full CAD, wiring, and assembly documentation, with a complete bill of materials under USD 200 and using commercially available components and 3D-printed parts. 2. An open-source capture pipeline (recording daemon, IMU sampler, time-sync tooling, watchdog firmware). 3. The Ego-OSCAR-550h dataset, approximately 550 hours of egocentric stereo video per camera with synchronized IMU, released to validate the device at deployment scale. Everything is open-source, including the hardware designs, capture pipeline, firmware, and the downstream dataset. Read the full blog at:

FPV Labs

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DiT4DiT is now open source! As the first humanoid-deployable Video-Action Model built on a world model, DiT4DiT continues to surprise us. In our paper last month, we showed its strong data efficiency. Now, with only slight modifications, it enables real-time whole-body autonomous pick-and-place. Paper: Code: Website:

DiT4DiT is now open source! As the first humanoid-deployable Video-Action Model built on a world model, DiT4DiT continues to surprise us. In our paper last month, we showed its strong data efficiency. Now, with only slight modifications, it enables real-time whole-body autonomous pick-and-place. Paper: Code: Website:

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MJTruthUltra

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A 35-year data scientist from Georgia's 2020 election blows the lid off of the wireless, internet-connected, cloud-based, open-source tool used for risk-limiting audits called ARLO, that tallied 5 million votes across 159 counties in Georgia, which was never used until 2020. This is the software that solidified the steal. Public source code revealed hackable variables and how to instructions, with sensitive election data transmitting through vulnerable foreign-connected off-site cloud servers prone to interception. Passwords were found on sticky notes enabling easy admin access to alter settings, while top-down audits only verified disputed results without tracing origins, or any actual investigation of the election and ballots themselves.

A 35-year data scientist from Georgia's 2020 election blows the lid off of the wireless, internet-connected, cloud-based, open-source tool used for risk-limiting audits called ARLO, that tallied 5 million votes across 159 counties in Georgia, which was never used until 2020. This is the software that solidified the steal. Public source code revealed hackable variables and how to instructions, with sensitive election data transmitting through vulnerable foreign-connected off-site cloud servers prone to interception. Passwords were found on sticky notes enabling easy admin access to alter settings, while top-down audits only verified disputed results without tracing origins, or any actual investigation of the election and ballots themselves.

The SCIF

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Chainbase 🤝 Assisterr We're joining forces with assisterr to redefine how AI and data interact in decentralized ecosystems. By merging Chainbase’s decentralized data infrastructure with Assisterr’s task-specific SLMs, we’re empowering communities and developers to create specialized AI models rooted in transparent, incentivized, and collaborative data workflows. Building on our four pillars—open-source access, incentivization, collaboration, and AI readiness—this partnership delivers streamlined, high-quality data pipelines for more effective, privacy-respecting AI development. We can’t wait to see developers leverage these capabilities to build practical, impactful solutions advancing Web3 and AI. To learn more, join us for the "Chainbase Discord Call - AI Agent Edition" on December 18th, where we’ll host an in-depth discussion with the Assisterr team. Read the full partnership announcement:

Chainbase 🤝 Assisterr We're joining forces with assisterr to redefine how AI and data interact in decentralized ecosystems. By merging Chainbase’s decentralized data infrastructure with Assisterr’s task-specific SLMs, we’re empowering communities and developers to create specialized AI models rooted in transparent, incentivized, and collaborative data workflows. Building on our four pillars—open-source access, incentivization, collaboration, and AI readiness—this partnership delivers streamlined, high-quality data pipelines for more effective, privacy-respecting AI development. We can’t wait to see developers leverage these capabilities to build practical, impactful solutions advancing Web3 and AI. To learn more, join us for the "Chainbase Discord Call - AI Agent Edition" on December 18th, where we’ll host an in-depth discussion with the Assisterr team. Read the full partnership announcement:

Chainbase (💜,💛)

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Nikola Tesla was deeply fascinated by the idea of harnessing energy directly from the environment without fuel or power grids. Later in life, he focused on what he called "cosmic energy"—a broad term for the natural energy found in the Earth's atmosphere, electric fields, and solar radiation. Tesla believed the Earth could conduct electricity and that the atmosphere held an unlimited energy supply. His most ambitious project, the Wardenclyffe Tower in New York, was built in the early 1900s to transmit wireless communication and, more importantly, wireless electricity. Tesla aimed to tap into the ionosphere and transmit energy through the Earth, making free power accessible anywhere, especially in remote areas. His ideas were far ahead of their time and remain controversial. Many of his documents were lost or confiscated, fueling ongoing mystery around his work. At his core, Tesla believed energy should be abundant and freely available, a philosophy that continues to inspire those exploring alternative energy sources today.

Nikola Tesla was deeply fascinated by the idea of harnessing energy directly from the environment without fuel or power grids. Later in life, he focused on what he called "cosmic energy"—a broad term for the natural energy found in the Earth's atmosphere, electric fields, and solar radiation. Tesla believed the Earth could conduct electricity and that the atmosphere held an unlimited energy supply. His most ambitious project, the Wardenclyffe Tower in New York, was built in the early 1900s to transmit wireless communication and, more importantly, wireless electricity. Tesla aimed to tap into the ionosphere and transmit energy through the Earth, making free power accessible anywhere, especially in remote areas. His ideas were far ahead of their time and remain controversial. Many of his documents were lost or confiscated, fueling ongoing mystery around his work. At his core, Tesla believed energy should be abundant and freely available, a philosophy that continues to inspire those exploring alternative energy sources today.

Mr. Nobody

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Mario Nawfal

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🚨🇷🇺🇺🇦RUSSIA TARGETS UKRAINE'S ENERGY INFRASTRUCTURE Ukraine reports a massive overnight missile and drone attack targeting energy and gas infrastructure. Odesa and Kharkiv were hit hard, with fires breaking out and power supplies at risk. It's believed to be the first significant attack on Ukraine since the U.S stopped sharing early warning data with them. Source: BBC

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🚨PsychoticNews🚨

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Smart Turn v2: open source, native audio turn detection in 14 languages. New checkpoint of the open source, open data, open training code, semantic VAD model on Hugging Face, fal, and Pipecat AI. - 3x faster inference (12ms on an L40) - 14 languages (13 more than v1, which was english-only) - New synthetic data set `chirp_3_all` with ~163k audio samples - 99% accuracy on held out `human_5_all` test data Good turn detection is critical for voice agents. This model "understands" both semantic and audio patterns, and mitigates the voice AI trade-off between unwanted turn latency vs the agent interrupting people before they are finished speaking. Training scripts for both Modal and local training are in the repo. We want to make it as easy as possible to contribute to or customize this model! Here's a demo running the smart-turn model with default settings, aimed at generally hitting 400ms total turn detection time. You can tune things to be faster, too. You can help by contributing data, doing architecture expermints, or cleaning open source data! Keep reading ...

Smart Turn v2: open source, native audio turn detection in 14 languages. New checkpoint of the open source, open data, open training code, semantic VAD model on Hugging Face, fal, and Pipecat AI. - 3x faster inference (12ms on an L40) - 14 languages (13 more than v1, which was english-only) - New synthetic data set `chirp_3_all` with ~163k audio samples - 99% accuracy on held out `human_5_all` test data Good turn detection is critical for voice agents. This model "understands" both semantic and audio patterns, and mitigates the voice AI trade-off between unwanted turn latency vs the agent interrupting people before they are finished speaking. Training scripts for both Modal and local training are in the repo. We want to make it as easy as possible to contribute to or customize this model! Here's a demo running the smart-turn model with default settings, aimed at generally hitting 400ms total turn detection time. You can tune things to be faster, too. You can help by contributing data, doing architecture expermints, or cleaning open source data! Keep reading ...

kwindla

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Scalable, grid-connected infrastructure is essential to meet the projected surge in AI data center demand, expected to reach 156GW globally by 2030. $IREN's Horizon 1 project unlocks up to 50MW of AI-ready capacity, built on the design foundation of our existing 650MW of powered shells at Childress to enable rapid deployment and scalability. As the need for high-density compute accelerates, Horizon 1 marks the first step in $IREN's long-term roadmap to power the next wave of AI innovation.

Scalable, grid-connected infrastructure is essential to meet the projected surge in AI data center demand, expected to reach 156GW globally by 2030. $IREN's Horizon 1 project unlocks up to 50MW of AI-ready capacity, built on the design foundation of our existing 650MW of powered shells at Childress to enable rapid deployment and scalability. As the need for high-density compute accelerates, Horizon 1 marks the first step in $IREN's long-term roadmap to power the next wave of AI innovation.

IREN

133,103 Aufrufe • vor 1 Jahr

🚨 WE’RE NOT BULLISH ENOUGH! 56% of my portfolio is in $IREN, $CIFR, $NBIS, $TE = AI/HPC, GRID & ENERGY. Spend 45 seconds watching this clip, and you’ll know why. 1. $CIFR has an elite team of ex-hyperscaler specialists from $GOOG, $META, and $AAPL optimizing every site. 2. The next couple of years will see more acquisitions, more sites, more deals in AI data centers. 3. $IREN secured a $9.7B AI cloud contract with $MSFT. $CIFR inked a $5.5B lease with $AMZN AWS and has a stake from $GOOG. 4. $NBIS landed $3B with $META and multi-billion with $MSFT. 5. J.P. Morgan forecasts AI infrastructure capex for data centers hitting $1.4 trillion annually by 2030, tripling near-term levels. 6. Jon Gray, President and COO of Blackstone Inc., stated in his latest presentation: “It starts with the picks and shovels, with things like chips, data centers, and power at massive scale. We have really focused on the right two circles here.” (Refering to data centers and power) 7. $NVDA’s Jensen Huang: “We wish we had more compute energy.” 8. The current administration pushes AI, energy, and defense with plans for massive power plants to fuel the AI boom. Onwards, -BP Not financial advice. Turn on notifications 🔔 for alerts on new posts.

🚨 WE’RE NOT BULLISH ENOUGH! 56% of my portfolio is in $IREN, $CIFR, $NBIS, $TE = AI/HPC, GRID & ENERGY. Spend 45 seconds watching this clip, and you’ll know why. 1. $CIFR has an elite team of ex-hyperscaler specialists from $GOOG, $META, and $AAPL optimizing every site. 2. The next couple of years will see more acquisitions, more sites, more deals in AI data centers. 3. $IREN secured a $9.7B AI cloud contract with $MSFT. $CIFR inked a $5.5B lease with $AMZN AWS and has a stake from $GOOG. 4. $NBIS landed $3B with $META and multi-billion with $MSFT. 5. J.P. Morgan forecasts AI infrastructure capex for data centers hitting $1.4 trillion annually by 2030, tripling near-term levels. 6. Jon Gray, President and COO of Blackstone Inc., stated in his latest presentation: “It starts with the picks and shovels, with things like chips, data centers, and power at massive scale. We have really focused on the right two circles here.” (Refering to data centers and power) 7. $NVDA’s Jensen Huang: “We wish we had more compute energy.” 8. The current administration pushes AI, energy, and defense with plans for massive power plants to fuel the AI boom. Onwards, -BP Not financial advice. Turn on notifications 🔔 for alerts on new posts.

Black Panther Capital

58,387 Aufrufe • vor 6 Monaten

For the first time, the latest LLMs run on the Apple Neural Engine — and NexaSDK is the only framework that makes it possible, powered by the NexaML engine. Last year, our two co-founders were invited by Apple DMLI team (Data & Machine Learning Innovation) to share their research about on-device multimodal model for local AI agents. One of the big questions in the room was: “Can the newest LLMs actually run on ANE?” At the time, nobody had a clear path. Today, that path exists. NexaSDK now runs Granite-4.0 (IBM), Qwen3 (Qwen), Gemma3 (Google), and Parakeet-v3 (NVIDIA) fully on Apple’s NPU — unlocking low-power, always-on, fast inference across Mac and iPhone. A new wave of NPU-first local AI apps is coming to Apple devices. Start with one line of code on Mac. iOS SDK coming soon.

For the first time, the latest LLMs run on the Apple Neural Engine — and NexaSDK is the only framework that makes it possible, powered by the NexaML engine. Last year, our two co-founders were invited by Apple DMLI team (Data & Machine Learning Innovation) to share their research about on-device multimodal model for local AI agents. One of the big questions in the room was: “Can the newest LLMs actually run on ANE?” At the time, nobody had a clear path. Today, that path exists. NexaSDK now runs Granite-4.0 (IBM), Qwen3 (Qwen), Gemma3 (Google), and Parakeet-v3 (NVIDIA) fully on Apple’s NPU — unlocking low-power, always-on, fast inference across Mac and iPhone. A new wave of NPU-first local AI apps is coming to Apple devices. Start with one line of code on Mac. iOS SDK coming soon.

NEXA AI

30,213 Aufrufe • vor 9 Monaten