Hardware realization of artificial intelligence (AI) requires new design styles and even
underlying technologies than those used in traditional digital processors or logic circuits …

Various hypotheses of information representation in brain, referred to as neural codes, have
been proposed to explain the information transmission between neurons. Neural coding …

Nanometer memories are highly prone to defects due to dense structure, necessitating
memory built-in self-repair as a must-have feature to improve yield. Today's system-on-chips …

Resistive RAM (RRAM) is a promising technology to replace traditional technologies such
as Flash, because of its low energy consumption, CMOS compatibility, and high density …

With the rise of the Internet of Things (IoT), a huge market for so-called smart edge-devices
is foreseen for millions of applications, like personalized healthcare and smart robotics …

Spin-transfer-torque magnetic RAM (STT-MRAM) is one of the most promising emerging
memory technologies. As various manufacturing vendors make significant efforts to push it to …

The research work presented in this paper deals with the fault analysis in hardware-
implemented Spiking Neural Networks with special emphasis on circuits designed to …

Abstract Complementary Metal Oxide Semiconductor (CMOS) technology has been scaled
down over the last forty years making possible the design of high-performance applications …

Computation-In-Memory (CIM) using memristor devices provides an energy-efficient
hardware implementation of arithmetic and logic operations for numerous applications, such …

As technology process node scales down, on-chip SRAM caches lose their efficiency
because of their low scalability, high leakage power, and increasing rate of soft errors …