Category Technology/Electronics

Engineers Collaborate with ChatGPT4 to Design Brain-Inspired Chips

Image of a cartoon person looking at a computer

Johns Hopkins electrical and computer engineers are pioneering a new approach to creating neural network chips—neuromorphic accelerators that could power energy-efficient, real-time machine intelligence for next-generation embodied systems like autonomous vehicles and robots.

Electrical and computer engineering graduate student Michael Tomlinson and undergraduate Joe Li—both members of the Andreou Lab—used natural language prompts and ChatGPT4 to produce detailed instructions to build a spiking neural network chip: one that operates much like the human brain.

Through step-by-step prompts to ChatGPT4, starting with mimicking a single biological neuron and then linking more to form a network, they generated a full chip design that could be fabricated.

“This is the first A...

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Researchers Demonstrate 3D Nanoscale Optical Disk Memory with Petabit Capacity

High-capacity data storage is indispensable in today's digital economy. However, major storage devices like hard disk drives and semiconductor flash devices face limitations in terms of cost-effectiveness, durability, and longevity.Read More

New Chip Opens Door to AI Computing at Light Speed

Streaks of blue light representing information run from right to left.
Computing at the speed of light may reduce the energy cost of training AI. (Narongrit Doungmanee via Getty Images)

University of Pennsylvania engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.

The silicon-photonic (SiPh) chip’s design is the first to bring together Benjamin Franklin Medal Laureate and H...

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New Material Design for Transistors could Downsize Next-Gen Tech

New material design for transistors could downsize next-gen tech
An atomic-scale rendering of the Mott insulator (green) and underlying material (blue) that proved key to refining and stabilizing the performance of a potentially smaller transistor. Credit: University of Nebraska-Lincoln

By better taming the Jekyll-and-Hyde nature of an alternative to the semiconductor—one that transitions from electricity-resisting insulator to current-conducting metal—Nebraska’s Xia Hong and colleagues may have unlocked a new path to smaller, more efficient digital devices. The team reports its findings in the journal Nature Communications.

The semiconductor’s ability to conduct electricity in the Goldilocks zone—poorer than a metal, better than an insulator—positioned it as the just-right choice for engineers looking to build transistors, the tiny on-off sw...

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