Energy efficiency has long been bandied about as an area of interest and development in IT, but until recently it has seemed to be a bit far off into the future. Like everything in IT, change is rapid ...

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 escalating global demand for computation, juxtaposed with the imperative to reduce environmental impact and operating costs, has rendered energy‐efficient computing a central focus within modern ...

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 ...

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 field of approximate computing is fundamentally reshaping digital signal processing (DSP) by intentionally trading off some degree of numerical accuracy for significant gains in energy efficiency, ...

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

As cloud and AI workloads continue to expand, data centers face increasing pressure to enhance performance while reducing power consumption. MiTAC Computing is addressing these challenges by designing ...