Raitt's three - year timeline to fully dispose
of older DOT - 111A tankers (and immediate phase - out
of 5,000
of the most vulnerable
cars) is going to be a difficult one to meet given the
existing capacity for
suppliers to build new tankers, as well as the desire
of oil and gas companies to continue the exponential increases in oil - by - rail shipments into the future.
Once the system includes more neurons and the kinks are worked out, it could
supply data centers, autonomous
cars, and national security services with neural nets that are orders
of magnitude faster than
existing designs, while using orders
of magnitude less power, according to the study's two primary authors, Yichen Shen, a physicist, and Nicholas Harris, an electrical engineer, both at MIT.