Results 131 to 140 of about 2,221 (294)

The Impacts of Health and Environmental Information Nudges on Meat Choices: Where Does Goat Meat Fit?

Agribusiness, EarlyView.
ABSTRACT Amidst a recent surge in US goat meat imports to meet growing demand, this study contributes to the meat demand literature by examining consumer preferences for goat meat, a relatively healthy and environmentally friendly alternative to other popular meats.
Binod Khanal, Sunil P. Dhoubhadel, Rodolfo M. Nayga Jr.   +2 more
wiley   +1 more source

Exploring the impact of random telegraph noise-induced accuracy loss in Resistive RAM-based deep neural network [PDF]

, 2020
For Resistive RAM (RRAM)-based deep neural network, Random telegraph noise (RTN) causes accuracy loss during inference. In this work, we systematically investigated the impact of RTN on the complex deep neural networks (DNNs) with different datasets.
Runsheng Wang (8291553), Hui Fang (6064121), Jianfu Zhang (834361), Yide Du (8946392), Linglin Jing (9247936), Haibao Chen (9247937), Yimao Cai (7533449), Zhigang Ji (516199)   +7 more
core  

A review on selective in-memory computing processors: Potential alternative to AI-driven applications

Results in Engineering
In-memory computing (IMC) is a paradigm-shifting approach to data processing that eliminates the sluggishness of transferring data between memory and processing units. By integrating computation directly within the memory, IMC accelerates performance for
Mohith V, Sakthivel R
doaj   +1 more source

Value of Information of Improved Traceability in Fresh Produce Markets

Agribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris, Mark R. Manfredo, Michael N. Kozicki   +2 more
wiley   +1 more source

Stochastic Model of the Resistive Switching Mechanism in Bipolar Resistive Random Access Memory: Monte Carlo Simulations”, [PDF]

, 2011
Memory is an indispensible important component of any modern integrated circuit. While MOSFET scaling has reached tremendous advances, semiconductor memory scaling is lagging behind.
V Sverdlov, A Makarov, S Selberherr
core  

A practical electrodialysis model for accelerating system development

AIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman, Douglas Fankell, Jason C. Quinn, Kenneth F. Reardon   +3 more
wiley   +1 more source

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

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Exploring the impact of random telegraph noise-induced accuracy loss in Resistive RAM-based deep neural network [PDF]

For Resistive RAM (RRAM)-based deep neural network, Random telegraph noise (RTN) causes accuracy loss during inference. In this work, we systematically investigated the impact of RTN on the complex deep neural networks (DNNs) with different datasets.
Du, Y, Cai, Y, Ji, Z, Zhang, JF, Jing, L, Fang, H, Wang, R, Chen, H   +7 more
core   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source