Today, patients are demanding a newer and more sophisticated health care system, one
that is more personalized and matches the speed of modern life. For the latency and energy …

Nowadays, Internet of Things (IoT) gives rise to a huge amount of data. IoT nodes equipped
with smart sensors can immediately extract meaningful knowledge from the data through …

The advent of Deep Learning (DL) has radically transformed the computing industry across
the entire spectrum from algorithms to circuits. As myriad application domains embrace DL, it …

Fueled by the availability of more data and computing power, recent breakthroughs in cloud-
based machine learning (ML) have transformed every aspect of our lives from face …

Abstract El Niño-Southern Oscillation (ENSO), which is one of the main drivers of Earth's
inter-annual climate variability, often causes a wide range of climate anomalies, and the …

Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …

In this work, we present a compute-in-memory (CIM) macro built around a standard two-port
compiler macro using foundry 8T bit-cell in 7-nm FinFET technology. The proposed design …

Sparse matrix-vector multiplication (SpMV) is an important primitive across a wide range of
application domains such as scientific computing and graph analytics. Due to its intrinsic …

The effectiveness of deep neural networks (DNN) in vision, speech, and language
processing has prompted a tremendous demand for energy-efficient high-performance DNN …

Neural networks (NNs) have been adopted in a wide range of application domains, such as
image classification, speech recognition, object detection, and computer vision. However …