Results 151 to 160 of about 45,985 (302)

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

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, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Scalable Access to N‑Acylindole Linkages: Enabling the Synthesis of Antitrypanosomal Noncanonical Cyclic Peptides for Chagas Disease

Angewandte Chemie, EarlyView.
A gram‐scale supply of bulbiferamide A, which features a rare N‐acylindole linkage and possesses potent inhibitory activity against Trypanosoma cruzi epimastigotes (IC50 = 4.1 µM)—the causative parasite of Chagas disease—was successfully achieved. Moreover, the cyclization strategy developed in this study facilitated the synthesis of noncanonical ...
Jie Zhang, Hugh Nakamura
wiley   +2 more sources

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Neuromorphic Photonic Processing and Memory With Spiking Resonant Tunneling Diode Neurons and Neural Networks

Advanced Intelligent Systems, EarlyView.
This work shows resonant tunneling diode‐based opto‐electronic spiking neurons enabling fast edge detection in time series, a two‐layer photonic spiking neural network for complex classification, and a depth‐tunable photonic spiking memory system. Neuromorphic computing—modeled after the functionality and efficiency of biological neural systems—offers ...
Dafydd Owen‐Newns, Joshua Robertson, Giovanni Donati, Qusay Al‐Taai, José Figueiredo, Edward Wasige, Kathy Lüdge, Bruno Romeira, Antonio Hurtado   +8 more
wiley   +1 more source

A Phase-Adjustable Noise-Shaping SAR ADC for Mitigating Parasitic Capacitance Effects from PIP Capacitors. [PDF]

Sensors (Basel)
Ouyang X, Kuang H, Kong D, Cheng Z, Yuan H.   +4 more
europepmc   +1 more source

CAUIM: Amazonian Cassava‐Based Programmable Biocolloid

Advanced Intelligent Systems, EarlyView.
Bridging indigenous heritage and computation, this work introduces the usage of cauim, a traditional Amazonian cassava fermented beverage, as a programmable memristive‐like substrate and resistance switching. The material exhibits frequency‐dependent dynamics enabling reconfigurable Boolean logic operations.
Raphael Fortulan, Noushin Raeisi Kheirabadi, Clay Palmeira, Davin Browner, Alessandro Chiolerio, Andrew Adamatzky   +5 more
wiley   +1 more source

Parasitic Capacitance in High-Density Neural Electrode Arrays: Sources and Evaluation Methods. [PDF]

IEEE Trans Biomed Eng
Ghazavi A, Troyk PR, Cogan SF.
europepmc   +1 more source

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan, Oliver Artner, Paul‐Philipp Manea, Sebastian Siegel, Susanne Hoffmann‐Eifert, Regina Dittmann, John Paul Strachan   +6 more
wiley   +1 more source

A Neuromorphic Simulation Framework for Indium‐Gallium‐Zinc‐Oxide Charge‐Trap Synaptic Transistors: From Device Modeling to System Simulation

Advanced Intelligent Systems, EarlyView.
This work presents a comprehensive framework bridging device fabrication, modeling, and system‐level simulation for an indium‐gallium‐zinc‐oxide (IGZO) charge‐trap synaptic transistor‐based neuromorphic system. By developing a precise SPICE model derived from fabricated IGZO synaptic transistors, the study incorporates parasitic RC loads into array ...
Yumin Yun, Junhyeong Park, Sunyeol Bae, Chae‐Hwan Park, Dong Hyeon Lee, Soo‐Yeon Lee   +5 more
wiley   +1 more source

S-Hybrid Step-Down DC-DC Converter-Analysis of Operation and Design Considerations [PDF]

, 2020
Le, Hanh-Phuc, Seo, Gab-Su
core