TechXplore – Hardware

A miniaturized radar chip, developed by researchers at Science Tokyo, advances Integrated Sensing and Communication for Beyond 5G and 6G systems. Measuring just 0.24 mm2 and consuming only 9.8 mW, the compact, low-power device generates […]

Over the past few decades, electronics engineers have been trying to develop new neuromorphic hardware, systems that mirror the organization of neurons in the human brain. These systems could run artificial intelligence (AI) models, particularly […]

Robots and self-driving cars could soon benefit from a new kind of brain-inspired hardware that can allegedly detect movement and react faster than a human. A new study published in the journal Nature Communications details […]

A new study has demonstrated how networks of spiking nanolasers could emulate a key principle of brain function: to imagine things that we cannot directly perceive by sampling from internal models of the world. The […]

Bees navigate their surroundings with astonishing precision. Their brains are now inspiring the design of tiny, low-power chips that could one day guide miniature robots and sensors.This post was originally published on this site

The use of artificial intelligence (AI) systems, such as the models underpinning the functioning of ChatGPT and various other online platforms, has grown exponentially over the past few years. Current hardware and electronic devices, however, […]

The ubiquity of smart devices—not just phones and watches, but lights, refrigerators, doorbells and more, all constantly recording and transmitting data—is creating massive volumes of digital information that drain energy and slow data transmission speeds. […]

A new chip aims to dramatically reduce energy consumption while accelerating the processing of large amounts of data.This post was originally published on this site

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware’s noisy updates with neural network training, slashing energy use by nearly six orders of magnitude […]

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive optical networks, in particular, enable large-scale parallel computation through the use of passive structured phase masks and the propagation of […]