In stark contrast to this, the human brain only requires around 20W to carry out more than 10 quadrillions (10,000,000,000,000,000) operations. This is 12 orders of magnitude much better than modern supercomputer innovations.
“Thats why were performing extensive research study into developing brand-new hardware that mimics the structure of the human brain, with nerve cells, synapses, and neural networks, referred to as brain-inspired computing (BICs). However even though weve handled to significantly reduce the energy intake of AI algorithms, theres still a long method to precede BICs are as efficient as the human brain when it comes to size and energy efficiency,” states Hooman Farkhani, an assistant professor at the Department of Electrical and Computer Engineering at Aarhus University.
He has actually simply received a grant of DKK 1.9 million from the Villum Experiment program for a new project checking out the advancement of a nano-sized BIC system.
“If we prosper, well have the first BIC system that is no bigger than a grain of dust and with energy usage that is so small that energy can be gathered directly from the surrounding environment. To put it simply, no power supply will be needed, and this will lead the way for a variety of new, previously difficult AI applications,” states Hooman Farkhani.
The job passes the name of Spin-Grain, and is one out of 51 jobs that have actually simply received grants amounting to roughly DKK 99 million from the Villum Experiment program under the Villum Foundation.
The program donates money for “strong research study experiments” and pays tribute to Villum Kann Rasmussen, the creator of the Villum Foundation, and his determined experimental approach to life.
The researchers behind the 51 experiments vary from PhD trainees to professors and represent a vast array of various citizenships. In addition to Aarhus University, grants have been awarded to Aalborg University, the University of Copenhagen, the Technical University of Denmark, the University of Southern Denmark, the IT University, Roskilde University and GEUS.
The energy intake of the device will be so little that it can harvest its energy itself, straight from its surroundings. The job has actually gotten funding from the Villum Experiment program.
Expert system (AI) has seen explosive development in the last few years, but despite major development, the power needed to run AI algorithms continues to increase.