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AI is (also) starting to feed a very different paradigm of computing. This is one that pushes more data-crunching out to the network " edge"… from internet-connected cameras ands smart watches to autonomous cars.
The New York Times
Ali Farhadi holds a puny $5 computer, called a Raspberry Pi, comfortably in his palm and exults that his team of researchers has managed to squeeze into it a powerful program that can recognize thousands of objects…
"AI for Everyone, Everywhere” may sound like a science fiction slogan, but it’s actually the name given to software from Xnor.ai that’s already making devices smarter in the real world…
Ali Farhadi and, Mohammed Rastegari, devised a way to shrink the resource requirements of AI by changing how algorithms are processed.
The speed, memory and power savings (of Xnor’s algorithms) are huge, enabling devices with bargain-bin CPUs to perform serious tasks like real-time object recognition
Imagine what is possible if that style of computing could be done on the device in your hand, on your wrist, or in your car
The company is named after the xnor logic gate. Xnor replaces the expensive and slow high-precision arithmetic operations used in traditional neural networks with simple and fast xnor and xor operations to create its binary neural networks, with no compromise of accuracy.
Xnor logic gate
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