Picture the smartphone in your pocket, the data centers powering artificial intelligence, or the wearable health monitors that track your heartbeat. All of them rely on energy-hungry memory chips to store and process information. As demand for computing ...

Computer simulations have long been key to understanding and designing phase-change materials (PCMs) for memory technologies. Machine learning is now increasingly being used to accelerate the modelling of PCMs, and yet it remains challenging to ...

Smartphone trade-in market data reveals new dynamics as higher device prices drive greater reliance on trade-ins and refurbished units.

Traditional computing systems struggle with dynamic adaptation and suffer from the separation of sensing, processing, and memory functions, leading to high energy consumption and latency. Neuromorphic computing offers a promising solution by mimicking ...

The growing gap between the rapidly increasing demand for computing power and the slowing improvements in computing speed is becoming more noticeable within the von Neumann architecture. Ferroelectric materials, such as hafnium-based ferroelectrics and two ...

The cost of memory as a percentage of the total cost of a low-end phone has surged from under 10% to over 40% now. Like phones and laptops, rising memory costs could end up impacting other electronic devices as well.

(Nanowerk Spotlight) The human brain processes complex information while consuming merely the power of a dim light bulb. This remarkable efficiency stems from synapses, the connections between brain cells that can strengthen or weaken based on patterns of ...

Computer memory could one day withstand the blazing temperatures in fusion reactors, jet engines, geothermal wells and sweltering planets using a new solid-state memory device developed by a team of engineers led by the University of Michigan. Unlike ...