Matrix AI Network

<h3 id="matrix-3-0-phase-1-stage-1-deliverables-1">MATRIX 3.0 Phase 1 Stage 1 Deliverables — 1</h3><react-video url="https://youtu.be/jxLc4zdtEsI"></react-video>What is this?This demonstration showcases how we collect relevant brainwave data from the user’s brain using a non-invasive brainwave sensing chip. Then, using our artificial intelligence algorithm, we separate the brainwave data related to attention. We use this portion of the brainwave data to control a programmable toy car. When the user’s attention is more focused, the energy value of this brainwave increases, resulting in faster movement of the car. Conversely, when the user’s attention decreases, the energy value of the attention-related brainwave decreases, causing the speed of the car to decrease.What does it mean?In the entire analysis of non-invasive data, attention is the first deterministic brainwave data that we separate. We have innovatively used a quantifiable model to express the energy field of attention strength, allowing for intuitive demonstration through the use of a toy car.Currently, our modeling plans for the first phase of Matrix 3.0 include brainwave data modeling and training of large language models. Attention is an important data dimension in brainwave data modeling, effectively expressing the user’s level of concentration and reflecting the energy level of their overall thinking inertia. At the same time, it is the first deterministic numerical dimension introduced in brainwave data modeling. After attention modeling is completed, we will gradually introduce other numerical dimensions.How does it work?<ol><li>Collect brainwave data using the non-invasive brainwave sensing chip.</li><li>Apply the artificial intelligence algorithm to separate the brainwave data related to attention.</li><li>Quantify the energy field of attention strength using a model.</li><li>Use the quantified attention data to control a programmable toy car, where increased attention leads to faster car movement and decreased attention leads to slower car movement.</li></ol>What are the next plans?<ol><li>Further explore additional dimensions of attention data and information.</li><li>Begin developing applications related to attention, such as training tools to enhance attention.</li><li>Incorporate attention as a dimension in the Avatar Intelligence model and conduct modeling and training related to it.</li><li>Analyze and separate other data from brainwaves, such as emotional expressions.</li></ol>

MATRIX 3.0 Phase 1 Stage 1 Deliverables - 1

Table of Contents

Matrix AI Network

Other articles published on Jul 29, 2023

Wall Street Banks and Senator Warren Team Up for Crypto Regulation

Bulls Kick-Off Session On The Front Foot as KNC Dominates

Heartland Tri-State Bank Collapses; Dream First Bank To Take Over

Is This The New Unibot? Fast-Rising Crypto Bot Poised to Rival Top Players

Bitcoin Cash, DASH, NEO: Legacy Coins That Are Struggling To Catch Up With High-Performing InQubeta

Japanese Crypto Advocacy Group Urges Government To Revise Crypto Tax

Join our free newsletter for daily crypto updates!