Time-Efficient Identification Procedure for Neurological Complications of Rescue Patients in an Emergency Scenario Using Hardware-Accelerated Artificial Intelligence Models by Abu Shad Ahammed, Aniebiet Micheal Ezekiel, Roman Obermaisser

“…An inference time analysis of the selected ML models and VTA AI accelerator of Apache-TVM machine learning compiler used for the FPGA is also presented in this research.…”
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SoCFaSe : in quest for fast and secure SoC architectures by Gupta, Naina

“…Moreover, as the possible applications of AI is expanding, the need for embedding an AI accelerator in the SoC is also becoming important. …”
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Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices by Katie Spoon, Hsinyu Tsai, An Chen, Malte J. Rasch, Stefano Ambrogio, Charles Mackin, Andrea Fasoli, Alexander M. Friz, Pritish Narayanan, Milos Stanisavljevic, Geoffrey W. Burr

“…We study the potential of Analog AI accelerators based on Non-Volatile Memory, in particular Phase Change Memory (PCM), for software-equivalent accurate inference of natural language processing applications. …”
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A new design approach of hardware implementation through natural language entry by Kaiyuan Yang, Haotian Liu, Yuqin Zhao, Tiantai Deng

“…Consequently, a novel design workflow is proposed and the constraints of using GPT, particularly in AI accelerators, are highlighted.…”
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A Fully Integrated System‐on‐Chip Design with Scalable Resistive Random‐Access Memory Tile Design for Analog in‐Memory Computing by Fuxi Cai, She-Hwa Yen, Apurva Uppala, Luke Thomas, Tianchi Liu, Peter Fu, Xiaofeng Zhang, Ambrose Low, Deepak Kamalanathan, Joe Hsu, Buvna Ayyagari-Sangamalli

“…As the demands of big data applications and deep learning continue to rise, the industry is increasingly looking to artificial intelligence (AI) accelerators. Analog in‐memory computing (AiMC) with emerging nonvolatile devices enable good hardware solutions, due to its high energy efficiency in accelerating the multiply‐and‐accumulation (MAC) operation. …”
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Deep image inpainting macOS/iOS application by Maung Ye Win Aung

“…And style transfer is now possible for captured video because of the ongoing development of AI-accelerated technology in the cloud and on the edge. …”
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A statistical approach for neural network pruning with application to internet of things by Chengchen Mao, Qilian Liang, Chenyun Pan, Ioannis Schizas

“…Along with more terminal chips integrated with AI accelerators for internet of things (IoT) devices, structured pruning is gaining popularity with the edge computing research area. …”
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Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions by Kamilya Smagulova, Mohammed E. Fouda, Ahmed Eltawil

“…The high speed, scalability, and parallelism offered by ReRAM crossbar arrays foster the development of ReRAM-based next-generation AI accelerators. At the same time, the sensitivity of ReRAM to temperature variations decreases <inline-formula> <tex-math notation="LaTeX">$\text{R}_{ON}/\text{R}_{OFF}$ </tex-math></inline-formula> ratio and negatively affects the achieved accuracy and reliability of the hardware. …”
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Near-Edge Computing Aware Object Detection: A Review by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, In Kee Kim

“…With the rise of edge computing and smaller AI accelerators, there is an increasing need to deploy efficient object detection applications on near-edge devices, such as drones and autonomous vehicles. …”
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Exploring alternative approaches to precision medicine through genomics and artificial intelligence – a systematic review by Hassan Mumtaz, Muhammad Saqib, Sidra Jabeen, Muhammad Muneeb, Wajiha Mughal, Hassan Sohail, Myra Safdar, Qasim Mehmood, Muhammad Ahsan Khan, Syed Muhammad Ismail

“…AI’s ability to decode complex biological factors aids in identifying novel therapeutic targets, allowing personalized interventions and optimizing treatment outcomes. Furthermore, AI accelerates drug discovery by navigating chemical structures and predicting drug-target interactions, expediting the development of life-saving medications. …”
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Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey by Pudi Dhilleswararao, Srinivas Boppu, M. Sabarimalai Manikandan, Linga Reddy Cenkeramaddi

“…This paper brings forward the various research works on the development and deployment of DNNs using the aforementioned specialized hardware architectures and embedded AI accelerators. The review discusses the detailed description of the specialized hardware-based accelerators used in the training and/or inference of DNN. …”
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Artificial intelligence: A powerful paradigm for scientific research by Yongjun Xu, Xin Liu, Xin Cao, Changping Huang, Enke Liu, Sen Qian, Xingchen Liu, Yanjun Wu, Fengliang Dong, Cheng-Wei Qiu, Junjun Qiu, Keqin Hua, Wentao Su, Jian Wu, Huiyu Xu, Yong Han, Chenguang Fu, Zhigang Yin, Miao Liu, Ronald Roepman, Sabine Dietmann, Marko Virta, Fredrick Kengara, Ze Zhang, Lifu Zhang, Taolan Zhao, Ji Dai, Jialiang Yang, Liang Lan, Ming Luo, Zhaofeng Liu, Tao An, Bin Zhang, Xiao He, Shan Cong, Xiaohong Liu, Wei Zhang, James P. Lewis, James M. Tiedje, Qi Wang, Zhulin An, Fei Wang, Libo Zhang, Tao Huang, Chuan Lu, Zhipeng Cai, Fang Wang, Jiabao Zhang

“…AI coupled with machine learning techniques is impacting a wide range of fundamental sciences, including mathematics, medical science, physics, etc. • “How does AI accelerate fundamental research?” New research and applications are emerging rapidly with the support by AI infrastructure, including data storage, computing power, AI algorithms, and frameworks.…”
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A Novel Throughput Enhancement Method for Deep Learning Applications on Mobile Devices With Heterogeneous Processors by Choonghoon Park, Soonhoi Ha

“…Contemporary smartphones integrate dedicated AI accelerators alongside CPUs and GPUs, in response to the growing demand for deep learning applications. …”
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Analysis of the Current and Future of the Artificial Intelligence in Financial Industry with Big Data Techniques by Eun Jung Go, Junhwan Moon, Jinhwa Kim

“…In 2017, the governments investments and the interests on developed countries formed domestic awareness of AI in each country. In 2018, AI accelerated the innovation in the financial industry from the interests by banks and customers in financial areas. …”
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Essays in Monetary Policy and Growth by Halperin, Basil

“…We show that under standard asset pricing theory, either possibility -- aligned AI accelerating growth or unaligned AI risking extinction -- would predict a large increase in real interest rates, due to consumption smoothing. …”
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Energy-efficient AI hardware design for edge intelligence by Cao, Tiancheng

“…This Ph.D. thesis comprehensively investigates the implementation of AI accelerating on edge devices. In the introduction, background and motivations of the research work are described. …”
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