Chip

Human intelligence and our collective wisdom are already becoming limiting factors in the rise of AI. Indeed, the only smart move at this point seems to be letting AIs design their own future hardware, right down to the microchip level.

Twas the night before Halloween, and Apple held a “spooky” event to announce some “scary fast” new products. The company unveiled its next generation chips, the M3 family, as well as the first iMacs and MacBooks that will feature them.

A powerful new optical chip can process almost two billion images per second. The device is made up of a neural network that processes information as light without needing components that slow down traditional computer chips, like memory.

This month marks the 50th anniversary of Intel's 4004 processor, the first commercially available microprocessor built on a single chip. Originally designed for a Japanese desk calculator, it helped spark the personal computer revolution.

Engineers at Columbia University have developed the smallest single-chip system ever created, which can be implanted with a hypodermic needle to measure temperature inside the body, and possibly much more.

Highlighting the march of technology, IBM has unveiled new semiconductor chips with the smallest transistors ever made. The new 2- nanometer tech allows the company to cram a staggering 50 billion transistors onto a chip the size of a fingernail.

Engineers have created one of the smallest memory storage devices ever, made out of a 2D material measuring 1 nanometer square. The device works on the movements of single atoms, paving the way for memory systems with incredible information density.

Engineers at EPFL have created a new computer chip that can both process and store data in the same circuit. It’s made using a two-dimensional material called molybdenum disulfide, paving the way for smaller and more energy efficient electronics.

We're growing more accustomed to the idea of talking to our devices, thanks to the success of products like Amazon Echo. Researchers at the Massachusetts Institute of Technology were inspired to create a low-powered chip designed specifically for automatic speech recognition.

A new chip design could lead to massively parallel, energy efficient computation that handles complex tasks like pattern recognition better and faster than ever before.

Researchers from the University of Bristol and Nippon Telegraph and Telephone claim to have developed a fully-programmable quantum optical chip able to encode and manipulate photons in an infinite number of ways. This breakthrough may pave the way for true quantum optical computing systems.

Stanford engineers have pioneered a new scalable 3D computer chip that tightly interconnects logic and memory, with the potential for giant leaps in performance and energy efficiency.