As machine learning and AI continue to rapidly develop, and with the ever-closer end of
Moore's law, new avenues and novel ideas in architecture design are being created and …

Nowadays Internet of Things (IoT) and mobile systems use more and more Machine
Learning based solutions, which implies a high computation cost with a low energy …

SCALO is the first distributed brain-computer interface (BCI) consisting of multiple wireless-
networked implants placed on different brain regions. SCALO unlocks new treatment options …

Unary computing, whose arithmetics require only one logic gate, has enabled efficient DNN
processing, especially on strictly power-constrained devices. However, unary computing still …

The remarkable advancements in artificial intel-ligence (AI), primarily driven by deep neural
networks, are facing challenges surrounding unsustainable computational tra-jectories …

Convolution is an important operation at the heart of many applications, including image
processing, object detection, and neural networks. While data movement and coordination …

Brain-computer interfaces (BCIs) are electrophysiological devices (eg, electrode arrays) that
connect the brain to a computer. They offer neuroscientific and neurological innovations by …

Hyperdimensional Computing (HDC) is a brain-inspired computing paradigm introduced to
achieve energy efficiency with a lightweight and single-pass training model. Hypervectors …

Spike sorting is the process of parsing electrophysiological signals from neurons to identify
if, when, and which particular neurons fire. Spike sorting is a particularly difficult task in …

In recent years, hardware architectures optimized for general matrix multiplication (GEMM)
have been well studied to deliver better performance and efficiency for deep neural …