A new material has been developed that will play an important role in the development of the next generation of computers that work like the human brain. Thanks to this new material, it was stated that the next generation of computers can be released at the end of these 10 years.
All its functions and mysteries are still being studied on the human brain, which has yet to be fully solved. Scientists are trying to adapt our brain to technology, which has an enormous working mechanism.
As part of these studies, scientists have been studying edible computer chips modeled from the brain’s neural network. According to reports, the next generation of computer chips modeled from our brains is likely to be released before the end of this decade thanks to a new material developed.
New technology can play a key role in the development of the next generation of computers
Simply put, scientists from the Royal KTH Institute of Technology and Stanford University in Stockholm say memory components produced by a titanium carbide compound called MXene show “extraordinary potential to complement classical transistor technology” for this new technology, the first electrochemical 3-terminal transistor produced with two-dimensional materials.
The findings, published in the journal Advanced Functional Materials, suggest that new material called MXene could play a fundamental role in the development of neuromorphic computers similar to the human brain and thousands of times more energy-efficient than today’s traditional computers.
Electrochemical random access memory, or ECRAM for short, acts as a synaptic cell on an artificial network, acting as a one-stop-shop for storing and processing data. “These new computers will be based on components that can have multiple states and perform in-memory calculations,” KTH Associate Professor and lead author Max Hamedi said of the new technology.
This technology can be as fast as transistors on today’s computer
In a statement to TechRadar Pro, Max Hamedi says the technology uses the same processes as CMOS silicon circuit board assembly, integrating layers of 2D material into silicon, and therefore a real hybrid integration with the processes behind the same line.
Stating that the new technology has faster write speed than other ECRAM’s and that 2D ECRAM can be as fast (sub-nanoseconds) as transistors on today’s computer if scaled to nanoscale; this means that the new technology can be integrated into existing computers using CMOS technology thanks to the compatibility of the 2D transistor metal.
Hamedi said that in 5 to 10 years, special purpose computer blocks can be produced that combine memory and transistors, making them at least 1,000 times more energy efficient than the best computers used in simulation tasks with artificial intelligence today, even by some calculations, 1 million times this technology for specific algorithms. energy efficiency. The launch of the first commercial computer chip modeled on the brain neural network can be expected by the end of the next decade, as the market entry strategy (GTM) requires trials that take at least 5 years.