Neuromorphic computing -- a field that applies principles of neuroscience to computing systems to mimic the brain's function and structure -- needs to scale up if it is to effectively compete with ...

Energy reduction techniques can also be applied at all levels of the system ... As an alternative approach, asynchronous circuits are inherently data driven and are only active when performing useful ...

Without these unique features ... capitalize on the potential of AI, AI data center designs — and the systems they employ — must evolve. AI systems are rooted in machine learning (ML) and deep ...

The Limits of Conventional Techniques Traditional compression methods like JPEG for images and ZIP for text provide moderate reduction but fall short for AI's complex, high-dimensional data, risking ...

This, he said, enables governments to identify high-growth sectors for scaling and low-growth ... and refining our data collection methods. This is our responsibility as the official producer ...

Also few methods are discussed ... an increasing amount of data to test them which increases testing time and tester memory. Power reduction is needed during functional mode and test mode of the ...