Results 61 to 70 of about 30,566 (271)
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.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
Advanced Electronic Materials, EarlyView.In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Silicon Nitride Resistive Memories
Advanced Electronic Materials, EarlyView.Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis +7 more
wiley +1 more source
Essex Foundry records, MSS.0490
, 1916 : Incorporation papers, by-laws, directors' minutes, minutes of stockholders' meetings, and related records.Scope and Content Note: The collection contains the incorporation papers, by-laws, directors' minutes, minutes of stockholders' meetings, and ...
Essex Foundry
core
Advanced Electronic Materials, EarlyView.1T1R‐arrays combining filamentary‐type memristors and CMOS transistors offer great potential for energy‐efficient analog hardware accelerators. Here, transient SET analysis of nanoscale HfO2 memristors integrated on 180 nm CMOS wafers is discussed.
Oliver Artner +11 more
wiley +1 more source
Advanced Energy Materials, EarlyView.A compact, nonporous, and highly crystalline layered inorganic precursor formed by thermal evaporation inherently restricts its conversion into the halide perovskite phase during vapor‐assisted hybrid two‐step deposition. Introducing localized heterogeneous nucleation sites during vapor deposition enables deliberate modulation of the inorganic layer's ...
Sung‐Eun Kim +10 more
wiley +1 more source
Assessing Swedish Foundries Energy Management Program
Energies, 2018 With regard to increased sustainability, managers not only need to know WHAT is needed for their company to improve, but also HOW to do so in detail is equally important.
Aida Sa +3 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
A Memristor‐Based In‐Memory Computing System‐on‐Chip with Efficient Depthwise Convolution
Advanced Intelligent Systems, EarlyView.We present a memristor‐based in‐memory computing (IMC) architecture that enables efficient depthwise convolution (DWC) acceleration. Fabricated in a system‐on‐chip with crossbar arrays, the design improves memory utilization. Experimental validation demonstrates the first hardware acceleration of DWC in IMC, achieving a digital comparable inference ...
Wenhao Song +21 more
wiley +1 more source