Conference Information

EAIT 2026: International Conference on Emerging AI Technologies

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Submission Date:
2026-06-10 Extended
Notification Date:
2026-07-10
Conference Date:
2026-09-16
Location:
Tokyo, Japan
Viewed: 3998   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

44.4 / 100
Ranked #3,073 of 5,684 conferences · Top 55%
Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
16
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 8

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-24

Call For Papers

EAIT 2026 (International Conference on Emerging AI Technologies) is an academic conference held in Tokyo, Japan on 2026-09-16. The paper submission deadline is 2026-06-10 (extended). Acceptance notifications are sent on 2026-07-10.

AI Technologies: • Text-to-Image/Video (MidJourney, Runway ML) • AI for 3D Content Creation (NeRFs, Gaussian Splatting) • AI Agents & Autonomous Systems • AI Personal Assistants (AutoGPT, Devin AI) • Multi-Agent Systems & Swarm Intelligence • AI in Gaming (NPCs, Procedural Content Generation) • Edge AI & TinyML • On-Device AI (Smartphones, IoT) • Federated Learning for Privacy-Preserving AI • Low-Power AI Chips (Neuromorphic Computing) • AI for Science (AI4Science) • AlphaFold for Protein Folding • AI in Climate Modeling & Drug Discovery • AI-Powered Scientific Research Automation AI Applications Across Industries: • Healthcare AI • Disease Diagnosis (Radiology, Pathology AI) • Drug Discovery (Generative Chemistry) • Wearable AI for Health Monitoring • Algorithmic Trading & Fraud Detection • AI-Powered Customer Service (Chatbots, Voice AI) • Predictive Analytics & Risk Management • Education & AI • Personalized Learning (Adaptive AI Tutors) • Automated Grading & Plagiarism Detection • AI in EdTech (Duolingo, Khan Academy) • AI in Creative Industries • AI-Generated Art, Music, and Writing • Deepfake Detection & Media Forensics • Virtual Influencers & AI Avatars • AI for Accessibility (Speech-to-Text, Visual Assistance)
Last updated by Dou Sun on

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