Costly data movement in terms of time and energy in traditional von Neumann systems is
exacerbated by emerging information technologies related to artificial intelligence. In …

Similarity search, that is, finding similar items in massive data, is a fundamental computing
problem in many fields such as data mining and information retrieval. However, for large …

In this paper, we review the recent trends in parallel search and artificial intelligence (AI)
applications using emerging non-volatile ternary content addressable memory (TCAM) …

In this work, we present a four-transistor-two-resistor (4T2R) ternary content addressable
memory (TCAM) bit cell based on the resistive memory (RRAM), comprising the …

Electrochemical anodization is a powerful method for the preparation of oxide thin films with
controlled thickness, structure, and composition and proves as a promising approach to be …

An ultra-dense one-transistor (1T) ternary-content addressable memory (TCAM) array is
reported that is based on high-performance, non-volatile, and ambipolar ferroelectric (Fe) …

In this Letter, for the first time, one-memristor (1M)-based ternary-content-addressable
memory (TCAM) with an ultradense 4F2 cell area is proposed on a single reconfigurable …

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 …

In this work, we developed a nonvolatile ternary content addressable memory (TCAM) with a
cell size of utilizing the Ge-based memory diode (MD), which has the most area-efficient …

We experimentally demonstrate the concept of combination-encoding content-addressable
memory (CECAM) that offers much higher content density than any other content …