Confined molecules inside carbon nanotubes polarize under gate voltage, creating transistors with three stable logic states from a single material system. (Nanowerk Spotlight) Squeeze a molecule into ...

I’m already loving this device, and I haven’t even touched one. Arduino announced it has collaborated with M5Stack to develop the new compact and powerful Nesso N1 IoT development kit. This system ...

A research team led by Professor Jae Eun Jang and Dr. Goeun Pyo from the Department of Electrical Engineering and Computer Science at DGIST (President Kunwoo Lee) has developed, for the first time in ...

In brief: A few months after acquiring Arduino, Qualcomm is introducing its first product designed to combine its processor technology with the "maker" ethos of the Italian company. Unsurprisingly, ...

Five months after acquiring Arduino, the open-source hardware and software company best known for its UNO and Nano microcontroller board for hobbyists, Qualcomm is looking to make another big splash ...

Logical circuits have been built from nanosheet stacks of various transistors, which could make electronic devices faster and more compact. Xiong Xiong is in the School of Integrated Circuits and the ...

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 been shown time and again by AI upstarts ...

Quantum technology has reached a turning point, echoing the early days of modern computing. Researchers say functional quantum systems now exist, but scaling them into truly powerful machines will ...

What if you could combine the simplicity of Arduino with the power of a Linux-based processor, all in one compact device? Enter the Arduino Uno Q, a new development board designed to handle everything ...

Nvidia Corp. today announced a new flagship graphics processing unit, Rubin, that provides five times the inference performance of Blackwell. The GPU made its debut at CES alongside five other data ...

Artificial intelligence (AI) has become the workload that defines today’s semiconductor scaling. Whether in hyperscale data centers training foundation models or at the network edge executing ...