Search Results - "Computing methodologies Artificial intelligence Distributed artificial intelligence"

Software Engineering Using Autonomous Agents: Are We There Yet? by Suri, Samdyuti, Das, Sankar Narayan, Singi, Kapil, Dey, Kuntal, Sharma, Vibhu Saujanya, Kaulgud, Vikrant

“…Autonomous agents equipped with Large Language Models (LLMs) are rapidly gaining prominence as a revolutionary technology within the realm of Software…”
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Accelerating Distributed Reinforcement learning with In-Switch Computing by Li, Youjie, Liu, Iou-Jen, Yuan, Yifan, Chen, Deming, Schwing, Alexander, Huang, Jian

“…Reinforcement learning (RL) has attracted much attention recently, as new and emerging AI-based applications are demanding the capabilities to intelligently…”
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Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities by Liu, Shaoshan, Yu, Bo, Tang, Jie, Zhu, Qi

“…The infrastructure-vehicle cooperative autonomous driving approach relies on the cooperation between intelligent roads and intelligent vehicles. This approach…”
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FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control by Ye, Yutong, Zhao, Wupan, Wei, Tongquan, Hu, Shiyan, Chen, Mingsong

“…Although Reinforcement Learning (RL) has been successfully applied in traffic control, it suffers from the problems of high average vehicle travel time and…”
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FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers by Chai, Zheng, Chen, Yujing, Anwar, Ali, Zhao, Liang, Cheng, Yue, Rangwala, Huzefa

“…Federated learning (FL) involves training a model over massive distributed devices, while keeping the training data localized and private. This form of…”
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Automated Design of Complex Analog Circuits with Multiagent based Reinforcement Learning by Zhang, Jinxin, Bao, Jiarui, Huang, Zhangcheng, Zeng, Xuan, Lu, Ye

“…Despite the effort of analog circuit design automation, currently complex analog circuit design still requires extensive manual iterations, making it labor…”
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Towards LLM-augmented multiagent systems for agile software engineering by Chudziak, Jaroslaw A., Cinkusz, Konrad

“…A cognitive multi-agent ecosystem designed for efficient software engineering using Agile methodologies can significantly improve software development…”
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A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning by Fu, Yonggan, Zhang, Yongan, Li, Chaojian, Yu, Zhongzhi, Lin, Yingyan

“…Driven by the explosive interest in applying deep reinforcement learning (DRL) agents to numerous real-time control and decision-making applications, there has…”
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Towards Autonomous Testing Agents via Conversational Large Language Models by Feldt, Robert, Kang, Sungmin, Yoon, Juyeon, Yoo, Shin

“…Software testing is an important part of the development cycle, yet it requires specialized expertise and substantial developer effort to adequately test…”
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Perspective Multi-Player Games by Kupferman, Orna, Shenwald, Noam

“…Perspective games model multi-agent systems in which agents can view only the parts of the system that they own. Unlike the observation-based model of partial…”
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Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration by Yang, Kai-En, Tsai, Chia-Yu, Shen, Hung-Hao, Chiang, Chen-Feng, Tsai, Feng-Ming, Wang, Chung-An, Ting, Yiju, Yeh, Chia-Shun, Lai, Chin-Tang

“…This paper introduces new perspectives on analog design space search. To minimize the time-to-market, this endeavor better cast as constraint satisfaction…”
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Social Momentum: A Framework for Legible Navigation in Dynamic Multi-Agent Environments by Mavrogiannis, Christoforos I., Thomason, Wil B., Knepper, Ross A.

“…Intent-expressive robot motion has been shown to result in increased efficiency and reduced planning efforts for copresent humans. Existing frameworks for…”
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Crowdassistant: a virtual buddy for crowd worker by Abhinav, Kumar, Dubey, Alpana, Jain, Sakshi, Bhatia, Gurpriya Kaur, McCartin, Blake, Bhardwaj, Nitish

“…Crowdsourcing is an emerging practice which provides workers, across the globe, to work on their choice of tasks. It offers many benefits to people over…”
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MMDFL: Multi-Model-based Decentralized Federated Learning for Resource-Constrained AIoT Systems by Yan, Dengke, Yang, Yanxin, Hu, Ming, Fu, Xin, Chen, Mingsong

“…Along with the prosperity of Artificial Intelligence (AI) techniques, more and more Artificial Intelligence of Things (AIoT) applications adopt Federated…”
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A coordination mechanism to replicate large-scale multi-agent systems by Ductor, Sylvain, Guessoum, Zahia

“…Distributed cooperative applications are now increasingly designed as Multi-Agent Systems (MAS). Such applications may be open, dynamic, large scale and…”
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Context-Aware Convolutional Neural Network over Distributed System in Collaborative Computing by Choi, Jinhang, Hakimi, Zeinab, Shin, Philip W, Sampson, Jack, Narayanan, Vijaykrishnan

“…As the computing power of end-point devices grows, there has been interest in developing distributed deep neural networks specifically for hierarchical…”
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ADAPTIVE: Agent-Based Learning for Bounding Time in Mixed-Criticality Systems by Ranjbar, Behnaz, Hosseinghorban, Ali, Kumar, Akash

“…In Mixed-Criticality (MC) systems, the high Worst-Case Execution Time (WCET) of a task is a pessimistic bound, the maximum execution time of the task under all…”
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An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems by Yahmed, Ahmed Haj, Bouchoucha, Rached, Braiek, Houssem Ben, Khomh, Foutse

“…Deep reinforcement learning (DRL) is increasingly applied in large-scale productions like Netflix and Facebook. As with most data-driven systems, DRL systems…”
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Research challenges of autonomic computing by Kephart, Jeffrey O.

“…Autonomic computing is a grand-challenge vision of the future in which computing systems will manage themselves in accordance with high-level objectives…”
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Enterprise crowd computing for human aided chatbots by Bozzon, Alessandro

“…A chatbot is an example of cognitive computing system that emulates human conversations to provide informational, transactional, and conversational services…”
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