Research and Development

In this project I used Javascript and voice technology to control my laptop with Alexa. This was the first time I saw the potential of connecting multiple cloud providers together. I was using an Amazon device to control Google Chrome on an Apple machine.

Lots of love and gratitude to the old team at: Hey Vicki

I would share their source code but I can no longer find their repository on Github. Anyways I must give credit where it is due, without their work, I would have never had the idea build layerZero.

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It’s possible that, due to platform limitations, censorship, or other forms of interference, I may not see community content. If that’s the case, I sincerely apologize.

"Layer Zero, Satellites & Singularity" by Vikram Singh Mangat and ChatGPT-4 is an ambitious exploration of the intersection between artificial intelligence, satellite infrastructure, and the emerging paradigm of Artificial General Intelligence (AGI). This book pushes the boundaries of AI research, offering a unique perspective on how satellite data, cloud computing, and innovative algorithms can form the backbone of AGI development.

The narrative begins by introducing Layer Zero, a conceptual integrated cloud infrastructure designed to unify the world's largest cloud platforms for seamless AI interoperability. With insightful explanations, the authors unveil LoFi algorithms, a groundbreaking approach to human thought predictability that drives advanced AI modules.

Central to the book are three pioneering general intelligence modules, each addressing futuristic applications of AI:

DynamicMusic, a module creating personalized music experiences with deepfake audio that adapts in real-time to listeners' environments and emotions.

Vikram Singh Mangat

Abstract — Brain–computer interfaces (BCIs) offer new avenues for communication and control, but current technologies are limited by low bandwidth, invasiveness, and reliance on traditional sensory pathways. This paper proposes a novel paradigm of machine-to-brain communication using AI-modulated electromagnetic waves to transmit data directly into the brain’s neural circuitry. We outline the theoretical basis for this approach, drawing on neuroscience and electromagnetic theory: specifically, how external radiofrequency (RF) signals (in the 5G spectrum) might influence neural activity by modulating the dynamics of sodium ions that underlie action potentials. A concept termed listenDeposits is introduced to describe auditory-like perceptual experiences induced without any physical sound, analogous to hearing a “broadcast” directly in the mind. We review background literature on brainwaves, neural signaling, and prior uses of AI in neural stimulation to ground our proposal in existing science. We then present a framework in which AI-driven 5G-wave modulation could…

Vikram Singh Mangat, ChatGPT 4o

Abstract — The research of Dimension-Crossing Fermions, hypothesizes that under extremely high-energy conditions, fermion-antiparticle annihilation can result in the formation of nano-black holes. These black holes, created when energy density reaches the Schwarzschild radius, could generate event horizons small enough to interact with individual fermions. To satisfy the Pauli Exclusion Principle under such extreme quantum constraints, fermions may be forced to transition into alternate dimensions. Additionally, it is hypothesized that quantum entanglement between fermions could persist across the event horizon, maintaining correlations between our dimension and the alternate space. This theory builds on principles from quantum mechanics, general relativity, and higher-dimensional models such as string theory and brane-world scenarios. While experimental validation remains challenging, the framework provides a theoretical basis for studying high-energy phenomena, black hole formation, and dimensional transitions.

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Vikram Singh Mangat, ChatGPT 4o mini, Harminder Kaur MD, Harpal Mangat MD

Abstract — Our research introduces a novel paradigm where electromagnetic waves, modulated through AI and neural networks, influence brain chemistry and cognition, challenging the current understanding that brain chemistry drives electromagnetic signals. We propose a new framework where electromagnetic wave properties such as wavelength, amplitude, and frequency act as independent variables affecting cognitive states, emotional regulation, and neurotransmitter activity. The paper outlines clinical implications and discusses future research directions for cognitive computing and brain-computer interfaces (BCIs).

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