Recent advancements in hardware and software systems have been driven by the
deployment of emerging smart health and mobility applications. These developments have …

Approximate computing is an emerging paradigm that, by relaxing the requirement for full
accuracy, offers benefits in terms of design area and power consumption. This paradigm is …

The rapid growth of demanding applications in domains applying multimedia processing
and machine learning has marked a new era for edge and cloud computing. These …

With the emergence of approximate computing as a design paradigm, many approximate
functional units have been proposed, particularly approximate adders and multipliers. These …

With the rise of Approximate Computing as an energy-efficient design paradigm that is
amenable to error-tolerant applications, different Approximate Logic Synthesis (ALS) …

As computational demand and energy efficiency of computer systems are becoming
increasingly relevant requirements, traditional design paradigms are bound to become no …

The unprecedented progress in computational technologies led to a substantial proliferation
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …

Inexact hardware design techniques have become popular in error-tolerant systems, where
energy efficiency is a primary concern. Several techniques aim to identify circuit portions that …

Approximate computing has emerged as a new computing architecture paradigm that trades
off necessary numerical accuracy for performance. Various approximation operation units …

In this work, we introduce Boolformer, the first Transformer architecture trained to perform
end-to-end symbolic regression of Boolean functions. First, we show that it can predict …