会议信息

AI3T 2026: International Conference on AI Infrastructure and Interconnect Technologies

由主办方官方维护
截稿日期:
2026-11-15 今天截止 延期
通知日期:
2026-11-22
会议日期:
2026-12-18
会议地点:
Hefei, China
届数:
1
主办方:
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会伴指数 (CP-I)

38.0 / 100
全站第 5,500 名 / 共 5,777 个会议 · 前 96%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
19
社区关注 (10%)
16
资料公开度 (15%)
35

用到的输入: 有据可查的届次：1 · 过去 24 个月打开过本页的研究者：7 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-11-15

征稿

AI3T 2026 (International Conference on AI Infrastructure and Interconnect Technologies) is an academic conference held in Hefei, China on 2026-12-18. The paper submission deadline is 2026-11-15 (extended). Acceptance notifications are sent on 2026-11-22.

Scope and Topics We solicit original, high-quality research papers and practical experience reports on all aspects of AI infrastructure and interconnect technologies. Topics of interest include, but are not limited to: AI Infrastructure & Architecture Hyperscale AI training and inference system design Heterogeneous computing system integration and management Memory-centric and in-memory computing for AI High-Performance Interconnects & Optical Networking Electrical and optical interconnect technologies Intra- and inter-data center optical networking Ultra-high bandwidth and low-latency switching AI Accelerator & Heterogeneous Computing Networks Interconnect topologies for GPU, TPU, FPGA, and ASIC clusters Accelerator communication libraries and collective operations On-chip networks and advanced packaging Data Center & Scalable Network Architectures AI data center topologies and traffic engineering Lossless networking and congestion control In-network computing and compute-network convergence Distributed AI Training & Workload Orchestration Communication optimization for distributed training Co-scheduling of training and inference workloads AI resource pooling across clusters and domains Network Automation & AI-Native Operations AI for network prediction, operation, optimization, and self-healing Application of digital twins in network management and planning Intent-based networking and autonomous network operations Edge-to-Cloud Computing for AI Network architectures for distributed AI inference and training Latency and bandwidth management in edge-cloud pipelines Software and infrastructure for federated learning at scale Embodied AI & Robotic Infrastructure Compute and communication architectures for robot fleets and autonomous systems Low-latency edge processing for perception and control Networking for collaborative embodied intelligence Secure, Trustworthy & Sustainable AI Systems Hardware and network security for AI systems Verifiable and reliable AI execution Energy-efficient and sustainable AI infrastructure Emerging Interconnect Technologies & Standards Novel materials, devices, and paradigms for future interconnects Co-design of interconnects with AI workloads and programming models Industry standards and ecosystem development
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