Aetheris_consulting

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Aetheris_consulting

Aetheris_consulting

@Aetheris2099

AI Strategy | Data-Driven Growth | Ethical Innovation Personas | Dashboard | Insight

USA เข้าร่วม Haziran 2025
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SciTech Era
SciTech Era@SciTechera·
THIS NANOENGINEERED WOOD COULD MAKE POWER GRIDS FAR MORE RELIABLE 👀! Researchers just developed OIDWV, a nanoengineered wood material designed for power transformer insulation. The material achieved record electrical insulation performance, along with 384 MPa mechanical strength and 0.33 W/m·K thermal conductivity, helping transformers withstand higher voltages and dissipate heat more effectively. Since transformer failures are a major cause of grid disruptions, This breakthrough could help build safer, longer-lasting power grids for the growing demands of AI, EVs and renewable energy.
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Forecast Engineer
Forecast Engineer@ForecastEng·
Google quietly open-sourced a time-series AI that predicts anything. Sales trends. Market prices. User traffic. Energy demand. Crypto volatility. It's called TimesFM. Pre-trained on 100B real-world data points. Zero-shot forecasting with no fine-tuning.
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Ilir Aliu
Ilir Aliu@IlirAliu_·
The University of Michigan put their entire robotics degree on GitHub. Not one course. The whole curriculum. ROB 101 — Computational Linear Algebra for Robotics ROB 311 — How to Build Robots and Make Them Move ROB 501 — Mathematics for Robotics ROB 530 — Mobile Robotics Every lecture video on YouTube. Every textbook on GitHub. Every problem set, every exam, every line of code. Professor Jessy Grizzle said it best when they launched it: "Linear algebra has become the language of computer vision, machine learning, robotics, and autonomy." So instead of making students wait four semesters of calculus before touching a robot... they built a curriculum that starts with the math that actually matters, applied to real robotics problems from day one. This is what open education looks like when a top-10 engineering school decides to mean it. Free. GitHub. YouTube. 📌 [github.com/michiganroboti…] Follow for more robotics resources! —— Weekly robotics and AI insights. Subscribe free: 22astronauts.com
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Aetheris_consulting
Aetheris_consulting@Aetheris2099·
@satyanadella The answer is a modular harness ecosystem that allows for increased ; access to specific data, substrate translation, increased agency, and a ton of other things. This doesn’t stop but allows companies and individuals to still have their own llm slm.
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Vivo
Vivo@vivoplt·
No way someone actually made a Claude episode of The Office 😭
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U.S. Army
U.S. Army@USArmy·
251 years of defending America's freedom, and we're just getting started. From the first musket shots in 1775 to the high-tech, multi-domain force of today, our Soldiers have always been, and always will be, ready to answer the call.
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Cody Schneider
Cody Schneider@codyschneider·
your team has 100+ questions they wish they could get answered to do their job better but they don't have data analytics resources to do this so they're just sitting there in the dark moving papers to look like their working but what's crazy is claude code and codex can do this analysis for them now all you have to do is set up a data pipeline, a data warehouse and then give the coding agent access to the data warehouse and then they can do conversational analytics for whatever they want open source solutions for this: data pipeline - airbyte data warehouse - clickhouse MCP connecting claude code to clickhouse but if you want to do this in the next 1.5 hours you can just use graphed .com lmk below and i'll onboard you and 10 team member today
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Stijn Feijen
Stijn Feijen@spwfeijen·
I’m pulling $48K/month from affiliate commissions using a method that requires: - No team - No filming - No editing Just AI avatars reviewing e-com products & dropping 100+ videos/day on autopilot. If you're ready to roll up your sleeves and actually build something, you're in the right place. I put together a complete guide with everything inside so you don't have to search all over the internet for answers. Follow & Comment “AFF” and I’ll DM you the playbook.
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Peter H. Diamandis, MD
Peter H. Diamandis, MD@PeterDiamandis·
@alexwg So Proud to work with the brilliant Dr. AWG on this SOLVE EVERYTHING paper.
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Aetheris_consulting
Aetheris_consulting@Aetheris2099·
@alexwg This looks amazing I will definitely read it congratulation to the two of you!!! Keep up the great work.
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Arnel P. David
Arnel P. David@arnelpdavid·
At this week's @INFODAS + @AFCEA Data-Centric Security Deep Dive 2026, Task Force Maven had the opportunity to engage with defense, industry, and technology leaders on one of the Alliance's most important modernization challenges: How do we securely unlock the power of NATO data at scale? As AI, cloud computing, and multinational operations become increasingly interconnected, data itself has become a strategic asset. The ability to securely discover, share, govern, and exploit data across the Alliance is no longer a technical requirement—it is a warfighting imperative. That is why the NATO-Maven Smart System (N-MSS) is being operationalized as NATO's Data-Centric Security platform for defense planning and warfighting. N-MSS provides the foundation for secure data sharing, AI-enabled decision advantage, and multinational collaboration across Allied Command Operations. It is compliant with NATO Standardization Agreements (STANAG) 4774 and 4778. By bringing data, security, governance, and AI together into a common operational framework, NATO is creating the conditions for commanders to think smarter, decide better, and act faster. The discussions at this DCS Deep Dive reinforced a common understanding across government, military, and industry partners: ➡️ Data must be treated as a strategic asset. ➡️ Security must travel with the data. ➡️ AI effectiveness depends on trusted, accessible data. ➡️ Interoperability begins with shared data standards and governance. Task Force Maven remains committed to accelerating the Alliance's transformation from a network-centric approach to data-centric warfare. The future of NATO's digital battlespace will be built on trusted data.
Arnel P. David tweet media
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NVIDIA Newsroom
NVIDIA Newsroom@nvidianewsroom·
NVIDIA is working with Abridge on a specialized AI that understands doctor-patient conversations, writes clinical notes, and supports better decisions right inside existing workflows. Helping give clinicians time back for patient care.
Abridge@AbridgeHQ

@WSJ Exclusive: @nvidia + Abridge on the first clinical conversation foundation model "Generic models are powerful, but clinical intelligence—it still has to be trained, it has to be shaped, and it has to be evaluated against real-world conditions." —@ShivdevRao, Abridge CEO and Co-Founder So many more announcements to come at today’s Abridge Keynote: events.abridge.com/keynote It’s all coming together. 12PM EDT

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