Advanced computing systems have long been enablers for breakthroughs in artificial
intelligence (AI) and machine learning (ML) algorithms, either through sheer computational …

Machine Learning (ML) techniques are pervasive tools in various emerging commercial
applications, but have to be accommodated by powerful computer systems to process very …

Machine Learning (ML) tasks are becoming pervasive in a broad range of applications, and
in a broad range of systems (from embedded systems to data centers). As computer …

Artificial intelligence (AI) and machine learning (ML) tools play a significant role in the recent
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …

A growing number of commercial and enterprise systems increasingly rely on compute-
intensive Machine Learning (ML) algorithms. While the demand for these compute-intensive …

Need for the efficient processing of neural networks has given rise to the development of
hardware accelerators. The increased adoption of specialized hardware has highlighted the …

Artificial intelligence hardware accelerator is an emerging research for several applications
and domains. The hardware accelerator's direction is to provide high computational speed …

Development and deployment of machine learning (ML) accelerators in Warehouse Scale
Computers (WSCs) demand significant capital investments and engineering efforts …

Advances in multicore processors and accelerators have opened the flood gates to greater
exploration and application of machine learning techniques to a variety of applications …

Machine learning has been widely applied in various emerging data-intensive applications,
and has to be optimized and accelerated by powerful engines to process very large scale …