As artificial intelligence (AI) proliferates rapidly, AI models and datasets are also growing rapidly in size. This growth far outpaces performance improvement in hardware systems, and is increasing ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

What if the key to unlocking artificial general intelligence (AGI) lies not in brute computational power but in something as unassuming as thermal noise? Imagine a world where AI systems capable of ...

Spintronic memory architectures exploit the intrinsic spin of electrons, alongside their charge, to store and process information in magnetic materials. By integrating magnetic tunnel junctions (MTJs) ...

The growth of energy efficiency in traditional computer chips is slowing due to physical limitations, coinciding with a rapid increase in energy demands from the tech sector, especially artificial ...

The pursuit of high-performance, energy-efficient artificial intelligence (AI) opens exciting opportunities for emerging semiconductor memories and unconventional architectures. To maximize the ...

The growing popularity of electronic devices—from fitness trackers and laptops to smartphones—is driving demand for more energy-efficient computing chips. Now, researchers have found a way to change ...

The human brain is the ultimate supercomputer. It uses a highly branched and interconnected network of neurons and synapses to achieve massive computational power with extreme efficiency. In the age ...

The world is abuzz with the new opportunities being created by artificial intelligence (AI), enabled by the availability of unprecedented amounts of data. AI runs on the semiconductor engine, and in ...