Researchers from DGIST have developed a new generation semiconductor artificial intelligence technology that imitates the work of a human of the brain.
A team led by Professor Kwon Hek-jun has created a neuromorphic device capable of storing multiple levels of data similar to neurons.
Traditional computing devices have disadvantages in speed and energy efficiency. In the search for a solution to this problem, researchers developed synaptic field-effect transistors using hafnium oxide and tin disulfide.
This made it possible to create a device that works 10 000 times faster than human synapses and consumes very little energy.
Professor Kwon noted that their research is an important step toward creating a next-generation computing architecture. He expressed confidence that this innovation will find application in various fields related to artificial intelligence and machine learning. p>
The study was published in the journal Advanced Science. It promises to make a significant contribution to the development of artificial intelligence technologies and neuromorphic systems.
Scientists from the Australian National University have proposed an innovative method of water desalination that…
Russia satisfies up to 90% of its dependence on the import of microelectronics from supplies…
dark seabed and disquieting, agiant squid with a physical appearance atypical, an attack, fascinated researchers...…
Tallinn Church of St. John the Baptist in Nõmme – the first Orthodox parish in…
Ukrainians for the last two years of registration Uvali in Poland 48 464 individual entrepreneurs,…
Russian government praised The intention is to unilaterally change maritime cordons of the territory with…