Today, David LaMountain, former Tautachrome CEO, agreed to create and sale NFTs from El Dorado Family Group, Ltd.’s original documentary photographs. Each NFT will have fractional ownership rights in the secured original photo. Proceeds will support TTCM in updating its filings.
The previously announced Annual Meeting of the Shareholders has been postponed until a date to be determined. The company is endeavoring to become current in its reporting. Thank you for your understanding and support.
TAUTACHROME 8-K $TTCM
The Company filed a new provisional patent application titled “Gramagery-Encoded Blockchain Improvement System with Gramage Stacks and Generational Tree Structures for Optimized Data Storage and Management”
https://t.co/MDH3RclXte
TAUTACHROME 8-K $TTCM
The Company filed a new provisional patent application titled “Gramagery-Encoded Blockchain Improvement System with Gramage Stacks and Generational Tree Structures for Optimized Data Storage and Management”
https://t.co/MDH3RclXte
TAUTACHROME 8-K $TTCM
A new provisional patent application titled “Adaptive Self-Protective Digital Asset for Robust Internal Content Capture Protection”. A self-protective digital asset that prevents unauthorized content capture attempts from within.
https://t.co/ggGfpLGgSs
TAUTACHROME 8-K $TTCM
Tautachrome Inc., exchanged an Exclusive Capital Lease of Trade Secrets (the "Exclusive Capital Lease") of the PXR Tactical Platform and the PXR Strategic Platform trade secrets.
https://t.co/QkrqCvRor9
TAUTACHROME 8-K $TTCM
On April 3, 2023 the Company filed a new provisional patent application titled “Self-Destructing Digital Asset Protection System”
https://t.co/2Isf9jx2Xh
TAUTACHROME 8-K $TTCM
Two new provisional patents filed titled “Adaptive Digital Asset Protection System with Transponder Watermarking, Blockchain Integration, and Real-Time Monitoring” and “Integrated Multilingual Translation System for Digital Assets”.
https://t.co/oIv1F88pg0
Tautachrome $TTCM has filed a patent named "Advanced Signal Processing and Fusion for AR, MR, and VR Applications with Attention Mechanisms, RNN Autoencoders, and Multi-Modal Integration."
By leveraging adaptive filtering, deep learning-based methods, and multi-modal feature extraction, it enhances the overall performance and quality of mixed reality experiences across a wide range of industries and use cases.
This invention combines advanced signal processing techniques, such as attention mechanisms, RNN autoencoders, and multi-modal fusion, to significantly improve input signal preprocessing in AR, MR, and VR applications.