>
How $21 TRILLION Went Missing From U.S. Tax Payers! -Catherine Austin Fitts FULL INTERVIEW
Barnum World Film Premiere - Phoenix
Zelensky Confirms He Will Meet Putin For Peace Talk
Watch: President Trump Blasts Media For Refusing to Report on 'Genocide' of White Farmers...
Cab-less truck glider leaps autonomously between road and rail
Can Tesla DOJO Chips Pass Nvidia GPUs?
Iron-fortified lumber could be a greener alternative to steel beams
One man, 856 venom hits, and the path to a universal snakebite cure
Dr. McCullough reveals cancer-fighting drug Big Pharma hopes you never hear about…
EXCLUSIVE: Raytheon Whistleblower Who Exposed The Neutrino Earthquake Weapon In Antarctica...
Doctors Say Injecting Gold Into Eyeballs Could Restore Lost Vision
Dark Matter: An 86-lb, 800-hp EV motor by Koenigsegg
Spacetop puts a massive multi-window workspace in front of your eyes
The classical physical limit for computing energy is the Landauer limit. Landauer limit that sets a lower bound to the minimum heat dissipated per bit erasing operation. Performance below the thermodynamic (Landauer) limit for digital irreversible computation is theoretically possible in this device. The proposed accelerator can implement both fully connected and convolutional networks
Previous photonic chips had bulky optical components that limited their use to relatively small neural networks. MIT researchers have a new photonic accelerator that uses more compact optical components and optical signal-processing techniques, to drastically reduce both power consumption and chip area. That allows the chip to scale to neural networks several orders of magnitude larger than its counterparts.