Conference · hybrid
Cross-AI 2027
Aug 2027 · Silicon Valley
Two days of main programme plus a workshop day. The call for papers opens in February 2027; the venue is not booked yet, and this section will say so until it is.
The global platform for cross-disciplinary artificial intelligence
Where disciplines converge. Where new intelligence emerges.
16 domains · 32 crossings · 6 active
Conference · hybrid
Aug 2027 · Silicon Valley
Two days of main programme plus a workshop day. The call for papers opens in February 2027; the venue is not booked yet, and this section will say so until it is.
AIMG 2026 · virtual
8 Dec 2026
A virtual workshop on generative music — models, evaluation, and what co-composition with an instrument that answers back actually requires.
MMAI 2026 · virtual
10 Dec 2026
A virtual workshop on multimodal AI — representation across modalities, and what grounding actually buys a model.
The Cross-AI journey begins before the conference.
Six programmes, each with its own spectrum stop. What each one can actually do for you today is stated in a sentence at the top of its page.

Flagship international gatherings where disciplines converge.

Workshops, forums and tutorials through the year, not only at the conference.

Rethinking how rapidly evolving AI research is shared, developed and communicated.

Connecting emerging technologies, research, industry and innovation.

A global network of interdisciplinary collaboration.

A persistent digital environment for the Cross-AI community.
Every dated, linkable intersection in the field above. The rest of the picture is made of intersections Cross-AI works across without anything scheduled behind them yet — which is why they are drawn, and why they are not listed here as if they were events.
Creative practice × Advanced computing
Human cognition × Advanced computing
Robotics × Space technology
Neuroscience × Artificial
Science × Computational
Society × Collective
Six ways in. Each one goes somewhere real today, or says plainly when it opens.
Build bridges across disciplines, communities, and forms of intelligence.
Advance interdisciplinary research, experimentation, and scientific and technological discovery.
Enable new forms of human-AI collaboration, creativity, and innovation.
Explore intelligent systems across physical, digital, biological, and extraterrestrial environments.
Rethink research, publishing, knowledge exchange, and collaboration as AI transforms them.
Give emerging ideas, technologies, and fields the space to develop beyond established boundaries.