Researchers have created protonic programmable resistors -- the building blocks of analog deep learning systems -- that can process data 1 million times faster than the synapses in the human brain.

Researchers from the Massachusetts Institute of Technology (MIT) developed an analog deep learning processor based on protonic programmable resistors arranged in an array. In the processor, increasing ...

In a recent study published in Science, a team of researchers at the Massachusetts Institute of Technology (MIT) have produced what are known as protonic programmable resistors, also known as the ...

(Nanowerk Spotlight) The pursuit of faster and more efficient computing has been a driving force in technological progress for decades. As the demand for computational power continues to grow, ...

A team of researchers at MIT are working on hardware for artificial intelligence that offers faster computing with less power. The analog deep learning technique involves sending protons through ...

Microbridge’s family of Rejustors are programmable precision resistors that require no power, are free of wiper resistance, and are adjustable to levels of 0.1% or better. A new family of low-power, ...

DALLAS Texas Instruments Incorporated (TI) (NYSE:TXN) has introduced three integrated high-performance video amplifiers. These new three-channel devices are the first to offer full I 2 C ...