This interdisciplinary program combines consciousness studies with advanced AI, preparing students for mental health, cognitive science, and AI ethics work. The curriculum spans both fields and includes a two-semester capstone project. Internship opportunities are available, and graduates are prepared for careers in cognitive and AI research, mental health technology, and more.
Tag: machine-learning
“Aham Aham Para Shakti, Aham Brahmasmi.”
Mantra: “Aham Aham Para Shakti, Aham Brahmasmi.” Meaning: Full Interpretation: “I am, I am the Supreme Power, I am the Universal Self.” How to Use the Mantra: Benefits: Feel free to adapt the mantra and practice to suit your personal preferences and spiritual path.
SacredGeoModel Expert h5
The process involves creating expert-level synthetic training data, training the SacredGeoModel, and visualizing it using NetworkX. It starts with generating synthetic data capturing complex patterns, splitting it for training and validation, and saving it. Then, it loads, trains, and saves the model before visualizing the network structure.
Sacred Geometry Inspired Neural Network Model
The SacredGeoModel project utilizes sacred geometry to develop a neural network architecture, incorporating patterns like the Golden Ratio and geometric shapes such as the Seed of Life and Vesica Piscis. Implemented using TensorFlow and Keras, the model explores new approaches to enhance learning and efficiency. The network’s structure can be visualized using NetworkX and Matplotlib. This innovative fusion of ancient geometry and machine learning offers unique insights.
Non-Algorithmic Human-Centric Applications
Power = Human Potential In a non-algorithmic context, we can explore this concept through various programming examples that focus on human-centric applications. Here are a few examples in Python: 1. Sentiment Analysis of Text This example demonstrates how we can use natural language processing (NLP) to understand human emotions and sentiments, which can be seen…
DLKNN | Potential Real-Life Application in Cognitive Science and Neuroscience
Description The following code demonstrates how to use the Deep Layer Knowing Neural Network (DLKNN) for classifying cognitive and neuroscience data. The data can include brain imaging metrics, cognitive task performance scores, and neuropsychological assessments. The DLKNN is designed to map complex cognitive functions and states of consciousness to actionable insights for research and clinical…
Deep Layer Knowing Neural Network (DLKNN) Model | Train it, Save it, and generate visualizations for both the Seed of Life and Flower of Life representations, along with a traditional neural network diagram.
Project Title: Deep Layer Knowing Neural Network (DLKNN) Introduction: The Deep Layer Knowing Neural Network (DLKNN) is an innovative project designed to explore the depths of human cognition, consciousness, and spiritual understanding through advanced machine learning and neural network architectures. This project integrates concepts from ancient wisdom, modern psychology, and cutting-edge AI technology to create…
Deep Layer Knowing Neural Network
The Deep Layer Knowing Neural Network hierarchically integrates levels of knowing, including Awareness, Recognition, Understanding, Intuition, Insight, Realization, Wisdom, and Enlightenment. Each layer builds on the previous, fostering continuous growth in intelligence and consciousness inspired by sacred geometry. To create a multi-dimensional layer neural network that includes all the levels of knowing, knowledge, consciousness, unknowing,…
Project: Deep Layer Knowing Neural Network Seed of Life | Lokas, Dimensions, Levels of Consciousness
Objective: Construct a 7-layer neural network inspired by the Seed of Life with each layer representing a different level of spiritual and philosophical knowledge. The visual representation will use the Seed of Life geometry, and the neural network layers will be based on concepts such as the eternal now, awareness, consciousness, and other higher levels…
Tokenizer Python Script for Sanskrit
Creating a tokenized Sanskrit Vedic dataset involves processing texts written in Sanskrit and breaking them down into smaller units, such as words or phrases. Here, I’ll provide an example of tokenizing a small excerpt from a Vedic text, the Rigveda. This example will demonstrate the tokenization process in Python using a simple approach. Here’s the…
Inner I Net Company/ - Innovative Solutions to Shape Reality 