Archive for June 9th, 2026

AIxNET 2026, International Conference on Interconnected AI and NETworks 2026

Call for Papers International Conference on Interconnected AI and NETworks 2026 AIxNET 2026 Nov. 23-25, 2026 – Paris, France On-site event https://aixnet.dnac.org/ Paper submission deadline: June 20, 2026 Networks are entering an era where both classical ML and emerging generative and agentic AI are transforming end‑to‑end networking—from intent capture to closed‑loop control across RAN, Core, […]

ChaLearn UDIVA-HHOI Challenge @ ECCV 2026 – Still Time to Participate!

  Dear colleagues,   There is still plenty of time to participate in the ChaLearn UDIVA-HHOI Challenge @ ECCV 2026, organized within the CONTEXTUS Workshop at ECCV 2026.   Submission deadline: July 12th, 2026   The challenge focuses on advancing research in context-aware human behavior understanding and socially grounded multimodal intelligence, encouraging methods that go […]

iLRN2027 Call for Special Track Proposals

I would like to draw your attention to the iLRN2027 Call for Special Track Proposals for the 13th Immersive Learning Research Network Conference, which will take place online and in person in Daegu, Republic of Korea. Please find details below.  +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Call for Special Track Proposals: 13th Immersive Learning Research Network (iLRN2027) Conference Theme: “XR + AI […]

VISMAC Computer Vision Summer School in Siena, Italy

VISMAC 2026,  Siena, Italy,  September 21st to 25th, 2026 EARLY BIRD REGISTRATION DEADLINE: June 15th Located just steps away from the University of Siena’s Engineering Department and the iconic Piazza del Campo, the school offers an intensive program designed for doctoral students, researchers, and industry professionals. VISMAC continues to serve as a premier venue for networking and professional […]

July Seminars: Hands-on AI and Machine Learning for Researchers

Hello everyone, Statistical Horizons and AI Horizons will host the following livestream seminars: Using LLMs for Social Science Research*, taught by Ethan C. Busby, July 7-10. Explore the fundamentals of large language models (LLMs) and their applications in social and behavioral research, including open-ended response coding, synthetic sample generation, experimental treatments, and effective prompt engineering. Preview the first hour on […]

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