My name is Bill SerGio
and I made a fortune using AI Neural Networks
I wrote to automate the buying of half hour blocks of television time to
maximize net profits from my television shows.
I thought I would apply some of the breakthough technicks I created in training Neural networks
to achieving balancing rotors in manned drones and devleopment real antigravity emgines.
I am the inventor of Z3D™, a new Patent Pending technology that represents a breakthrough class of intelligence that requires no training data, no GPU infrastructure, and no historical examples. It is AI with NO data and NO training that is a new breakthough in AI and AiNetStudio® with use it achieve amazing results.
- Right now I am implementing the basic structure of the application.
- I will adding Neural Networks for Fine Tuning Drone Motors and Antigravity Engines
- I will be adding an extensive collection of Patents for:
- Manned Drones AI Neural networks
- Antigravity in General
- PAIS Effect
- DNP Dynamic Nuclear Polarization
- Energy Generation
- Electrogravitics, Graviflyer & PAIS Effect Testing
- Graviflyer
- Gravitational Waves
- Inertial Propulsion
- Hutchison Effect
- Searl Effect
- Superconductors
- Warp Drives
- Zero Point Energy
- Corkscrew Propulsion
Introducing AiNetStudio®, the 100% FREE breakthrough AI software with full source code that creates neural networks specifically designed to control anti gravity engines. Our system processes thousands of flight variables per second, making micro adjustments that keep manned drones perfectly stable. AiNetStudio® doesn't just improve flight control, it completely revolutionizes personal aviation. The technology that sci-fi promised is finally here, powered by neural networks that learn and adapt. The future isn't just flying cars. It's AI that makes them safe, stable, and finally possible.
I created this to help antigravity researchers.
Click Here
I created this to help people do accounting and make profit.
Click Here
- Test Device Connectors
- High Performance Oscilloscope in Browser
- Specialized Interfaces for Instruments
- PDF Viewer
- Database of antigravity patents and papers
- AI Neural Networks
To use the Video Features you can download FFmpeg from:
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Create a folder inside the "Libs" folder called "ffmpeg"
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Place these files in "Libs/ffmpeg":
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Libs/ffmpeg/ffprobe
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Libs/ffmpeg/ffplay
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Libs/ffmpeg/ffmpeg.exe
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Libs/ffmpeg/ffprobe.exe
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Libs/ffmpeg/ffplay.exe
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Two Screens in One. Top Screen.
-
This screen allows you to search YouTibe videos.
-
I will be adding YouKu: https://www.youku.tv/
-
And I will be adding over 100 tube servers!
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International tubes give added access to research abroad
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Two Screens in One. Bottom Screen.
-
This screen allows you to edit the video content.
- Handles Searching and Saving Patents & Studies
// EQUIBALENT FOR OnBeforeNavigate!!! web.CoreWebView2.NavigationStarting += (s, e) => { var uri = e.Uri ?? string.Empty;
// ADD: catch event:action:value clicked from page content
if (uri.StartsWith("event:", StringComparison.OrdinalIgnoreCase))
{
e.Cancel = true;
HandleEventUrl(uri);
return;
}
_addressBox.Text = uri;
if (!string.IsNullOrEmpty(uri) && uri.Contains("zebra_", StringComparison.OrdinalIgnoreCase))
{
e.Cancel = true;
MessageBox.Show("Blocked URL: " + uri, "Navigation Blocked",
MessageBoxButtons.OK, MessageBoxIcon.Warning);
}
};
Reports about devices like the “Graviflyer” describe counter-rotating discs, high-voltage differentials, Tesla-coil RF bias, magnets, and ultrasound. If such effects exist, they’re likely extremely sensitive to resonance—exactly the kind of multi-parameter tuning AI can search efficiently while logging evidence from scales, probes, and sensors.
The same principle applies to the PAIS effect, where plasma acoustic interactions appear only when voltages and frequencies align in just the right way, and to the work of Thomas Townsend Brown, whose electrogravitics experiments suggested lift from high-voltage fields when tuned into resonance.
In every case, resonance is the fragile key, and AI provides the systematic exploration needed to find and hold it.
I thought I would demonstrate how you can apply ML.NET to explore parameter spaces in safely simulated or instrumented setups—adjusting voltages, frequencies, phases, and rotations to lock onto stable resonant regimes.
Unlike Python toolchains that often require stitching together many external libraries, ML.NET is natively integrated into the .NET ecosystem, giving us type safety, performance, and seamless deployment in our C# applications.
Backed by Microsoft, it allows our research code to move directly into production Windows apps without rewrites, ensuring both speed and stability in experimentation.
AI measures changes in lift or weight on a precision scale and dynamically adjusts voltages, frequencies, and rotations in a real-time feedback loop to tune resonance and maximize anti-gravity effects.
In this approach, the anti-gravity engine exists only in code. Components are modeled with physics-based formulas, and AI explores the parameter space virtually to discover resonant behaviors before any physical build is attempted.
Use ML.NET to model lift from parameters and suggest the next settings to explore resonance.
// Models/GraviflyerReading.cs using Microsoft.ML.Data;
public sealed class GraviflyerReading {
// --- Actuation / drive parameters ---
public float VoltageKV { get; set; } // DC drive voltage (kV)
public float FrequencyKHz { get; set; } // Drive frequency (kHz)
public float PhaseDeg { get; set; } // Phase (degrees)
public float RotationRPM { get; set; } // Rotor speed (RPM)
public float UltrasoundKHz { get; set; } // Ultrasound carrier (kHz)
}
public sealed class GraviflyerPrediction { public float Score { get; set; } // predicted LiftGrams }
In November 2020, Microsoft released .NET 5.0, dropping the "Core” branding so all versions of .NET after 5.0 are "Core" apps. Commonly you will see .NET 9 applications refrred to as a "Core 9" applications because .NET 9 is a Core application.
-
Microsoft.Data.SqlClient (Version="6.1.1")
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Microsoft.Data.Sqlite (Version="9.0.8")
-
Microsoft.Data.Sqlite.Core (Version="9.0.8")
-
Microsoft.Extensions.Configuration (Version="9.0.8")
-
Microsoft.Extensions.Configuration.FileExtensions (Version="9.0.8")
-
Microsoft.Extensions.Configuration.Json (Version="9.0.8")
-
Microsoft.Extensions.DependencyModel (Version="9.0.8")
-
Microsoft.ML (Version="4.0.2")
-
Microsoft.ML.AutoML (Version="0.22.2")
-
Microsoft.ML.LightGbm (Version="4.0.2")
-
Newtonsoft.Json (Version="13.0.3")
-
SQLitePCLRaw.bundle_e_sqlite3 (Version="3.0.1")
-
SQLitePCLRaw.core (Version="3.0.1")
-
SQLitePCLRaw.provider.dynamic_cdecl (Version="3.0.1")
-
System.Data.SQLite.Linq (Version="1.0.119")
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xSerilog.AspNetCore (version 9.0.0) only for web apps
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Serilog.Settings.Configuration (version 9.0.0)
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Serilog.Sinks.File (version 7.0.0)
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Set app to x64 ONLY!
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Install-Package Microsoft.Web.WebView2
Here are the titles extracted from that menu:
PAIS Effect DNP Dynamic Nuclear Polarization Energy Generation Electrogravitics, Graviflyer & PAIS Effect Testing Graviflyer Gravitational Waves Inertial Propulsion Hutchison Effect Searl Effect Superconductors Warp Drives Zero Point Energy Corkscrew Propulsion |
//🔍 Search //🔎 Zoom //← → ⟳ 🏠 AI🔍 ＋ ✕ ▲▼
🔹 Navigation 🏠 Home ⬅️ Back ➡️ Forward 🔄 Refresh / Reload 🔹 Search / Find 🔍 Search 🔎 Zoom 🔹 Pages & Tabs 📄 Page / Document 📑 Tabs / Bookmarks ⭐ Favorite / Starred 📂 Open Folder / Downloads 🔹 Tools & Settings
⚙️ Settings
🛠️ Tools
🧩 Extensions / Add-ons
❌ Close
🔹 Status & Misc
🔔 Notifications
🔒 Secure / Lock
📶 Connection / Signal
⏳ Loading / Wait
- C:\Program Files (x86)\NSIS\Apps\AiNetStudio\AiNetStudio
- C:\Program Files (x86)\NSIS\Apps\AiNetStudio_ainetstudio.nsi
C:
└── Program Files (x86)
└── NSIS
└── Apps
└── AiNetStudio
├── AiNetStudio
└── _ainetstudio.nsi
C:
|-- Program Files (x86)
|-- NSIS
|-- Apps
|-- AiNetStudio
|-- AiNetStudio (contains source files)
|-- _ainetstudio.nsi
SOURCE FILES
C:
└── AiProjects\AiNetStudio\AiNetStudio
└── Program.cs
└── Libs
└── rssfeeds.aidb
└── techarchive.aidb
└── feeds_export.sql
└── feeds_subset.csv
└── Library
├── 0A0625E967774EB5885A86794D259FF3.pdf
└── *.pdf files
WRITABLE FOLDER
C:
└── Users[owner]\AppData\Local\AiNetStudio
└── Databases
└── rssfeeds.aidb
└── techarchive.aidb
└── Library
├── 0A0625E967774EB5885A86794D259FF3.pdf
└── *.pdf files
└── Libs
└── feeds_export.sql
└── feeds_subset.csv