Artificial intelligence and machine learning have made tremendous strides over the past few years. For example, Dall-E is capable of creating unique artwork, Stockfish can easily beat any human chess player, and AlphaFold predicted the shape of nearly every known protein – or around 200 million different structures.
These breakthroughs result from novel new approaches, such as deep learning, and faster purpose-built processors. But, while software continues to advance at a rapid clip, microchips face unprecedented challenges moving from five-nanometer to three-nanometer manufacturing processes due to both cost and the laws of physics.
GBT Technologies Inc. (OTC Pink: GTCH) has been quietly building a suite of technologies to help usher in the next generation of microchips – from an innovative new design to must-have development tools.
Building a Better Microchip Design
Microchips are becoming smaller and smaller over time. In fact, the newest semiconductors are just three nanometers – or three billionths of a meter. By comparison, a sheet of paper is about 100,000 nanometers thick, and red blood cells are about 10,000 nanometers across. So, it’s easy to see why building them is becoming harder.
GBT Technologies’ first innovation is a 3D, multi-planar IC design, making it possible to place more integrated circuits on a single microchip. The best way to conceptualize the design is to imagine transportation across a city – rather than relying on 2D roads, multi-planar transportation would involve subways and air travel.
The company’s intellectual property covers the architecture, design, and method to build these new microchips, as well as new concepts for memory technologies. In layman’s terms, the IP could create terabytes of memory using the same footprint as gigabytes today – enabling more power in a smaller surface area.
Improving Performance & Reliability
The layout of integrated circuits will become much more complex to analyze for electrical phenomena as they become smaller. As integrated circuits become more complex, companies need new solutions to ensure the consistency and accuracy of processed data and avoid excess power consumption or malfunction.
GBT Technologies’ Epsilon analyzes the layout of integrated circuits and identifies weak spots. Using machine learning-driven reliability verification technology, Epsilon analyzes the power consumption and electrical flow across a chip. Then, it automatically identifies and corrects sub-optimal areas to improve performance and reliability.
The immediate results are more efficient power consumption, high performance, longer life expectancy, and better reliability. Meanwhile, downstream consumers benefit from lower electricity costs, longer living products, fewer cooling requirements, and improved reliability. And the environment benefits from less electronics waste.
GBT Technologies’ patented Magic2 platform also helps manufacturers dramatically speed up IC design, improve reliability, and save manufacturers money with a suite of eight different tools.
Investing in the Future
GBT Technologies Inc. (OTC Pink: GTCH) is paving the way for the next generation of microchips and integrated circuits by harnessing the power of machine learning. And by starting its research and development ahead of the curve, the company could be an early mover in a massive market when technology becomes necessary.
Investors interested in participating in these early-stage concepts can invest in GBT Technology Inc. via its common stock listed on the OTC Markets, while partners interested in commercializing the technology should contact the firm to learn more.
