A common lab setup can inflate 2D transistor performance by up to five times, raising questions about how future chips are ...

Throughout the 20th century, each decade had its own unique set of inventions that left their mark on history. Curious about ...

Lab architecture used to test 2D semiconductors artificially boosts performance metrics, making it harder to assess whether these materials can truly replace silicon.

For nearly two decades, two-dimensional (2D) semiconductors have been studied as a complement or possible successor to silicon transistors, promising smaller, faster and more energy-efficient ...

For nearly two decades, two‑dimensional (2D) semiconductors have been studied as a complement or possible successor to silicon transistors, promising ...

Duke engineers show how a common device architecture used to test 2D transistors overstates their performance prospects in real-world devices.

The ENIAC (Electronic Numerical Integrator and Computer), a machine that profoundly reshaped computing, marked its 80 th ...

Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...

Aaron Franklin studies nanomaterials as disruptive complements or replacements for conventional silicon technology.

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...

The technology industry is obsessed with the future. Many of our modern marvels are rooted in the legacy of Bell Labs, an ...

AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.