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 ...

Advancements in single board computers (SBCs) have enabled a paradigm shift towards energy-efficient computing, particularly in the realms of edge and cluster-based computation. Modern SBCs offer a ...

A breakthrough in brain-inspired computing could make today’s energy-hungry AI systems far more efficient. Researchers have engineered a new nanoelectronic device using a modified form of hafnium ...

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 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 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 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 ...

A new chip design from UC San Diego could make data centers far more energy-efficient by rethinking how power is converted ...

A computing approach that requires up to 8,000 times less energy than conventional methods is emerging as a potential answer to one of technology’s most significant challenges: the unsustainable ...

Data centers can install backup batteries that would kick in during an outage or could be used to avoid an outage when demand spikes. The batteries could not only provide power to the data center but ...