In this work, we report the monolithic three-dimensional integration (M3D) of hybrid memory
architecture based on resistive random-access memory (RRAM), named M3D-LIME. The …

Hyperdimensional computing (HDC) is a brain-inspired computational framework that relies
on long hypervectors (HVs) for learning. In HDC, computational operations consist of simple …

Pattern searches, a key operation in many data analytic applications, often deal with data
represented by multiple states per dimension. However, hash tables, a common software …

As emerging technologies like artificial intelligence (AI) and big data continue to evolve, the
demand for high-performance computing (HPC) has been increasing, driving the …

We have proposed and experimentally demonstrated a novel multi-bit content addressable
memory (CAM) cell based on two series connected ferroelectric FETs (FeFETs). Thanks to …

In this work, for the first time, a novel energy-and area-efficient ferroelectric (FE) small-signal
capacitance based content addressable memory (CAM) design is proposed and …

Experience replay is an essential component in deep reinforcement learning (DRL), which
stores the experiences and generates experiences for the agent to learn in real time …

Here, we proposed an in-memory search prototype based on phase change memory (PCM).
First, using the PCM, a highly compact (8F 2) and low-energy (0.3 fJ/bit/search) nonvolatile …

Reconfigurable devices have garnered significant attention for alleviating the scaling
requirements of conventional CMOS technology, as they require fewer components to …

We propose a higher-non-hysteric ferroelectric field-effect transistor (FEFET) using
reversible domain wall displacement. By separately stimulating reversible and irreversible …