Results 171 to 180 of about 74,167 (345)
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
A Low-Noise, Low-Power, and Wide-Bandwidth Regulated Cascode Transimpedance Amplifier with Cascode-Feedback in 40 nm CMOS. [PDF]
Zhang X, Zhao Y, Yu G, Lu Z, Wang C.
europepmc +1 more source
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li +4 more
wiley +1 more source
Flexible monolithic 3D complementary circuits based on 2D semiconductor inks. [PDF]
Zou T +10 more
europepmc +1 more source
Design of a holographic read-only-memory for parallel data transfer to integrated CMOS circuits
John T. Gallo
openalex +1 more source
Fabrication of photonic integrated circuits using high resolution CMOS fabrication process [PDF]
Shankar Kumar Selvaraja
openalex
Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol +7 more
wiley +1 more source
Integrating living biomaterials into neuroelectronic systems. [PDF]
Hong M +5 more
europepmc +1 more source

