Beta For conference attendees

Find the talks that change everything

500 talks. 1,200 posters. 3 days. Axy makes sure you never miss the one that matters most to your research.

💬 At the conference
You I use Bayesian hierarchical regression on human subjects. Who else here does that?
Axy Found 3 researchers with similar methods. Dr. Park (#247) uses Stan for fMRI — and she's presenting in your next session.
98% match Poster buddy
Features for attendees

Everything you need at a conference

Live

Smart recommendations

Axy understands your research interests and matches you with the most relevant talks and posters — not by keywords, but by actual concepts.

AI analyzes every abstract in the conference program and ranks presentations by how relevant they are to your specific work. Updated as you interact.

98
Bayesian computation through cortical dynamics
Sohn et al. · Poster #247 · Session B
Same methods, related hypothesis
91
Neural population geometry and optimal coding
Chung & Abbott · Talk T-34 · Main Hall
Complementary framework
78
Transformers as statisticians
Garg et al. · Poster #312 · Session A
Novel method you may want to try
Live

Poster buddies

When two people have the same posters in their agenda for a session, Axy matches them. Explore together, compare notes, and make a friend.

Works automatically based on your saved agenda. You get a notification before the session starts with your buddy match and shared interests.

You
3 posters in common
SP Dr. Park
#247 Bayesian cortical dynamics
#189 Hierarchical priors in psychophysics
#312 Stan-based reaction time models
Live

Research playlists

Curate lists of must-see presentations. Share them publicly for others to follow, or keep them private. Like Spotify — but for science.

Great for lab leaders sharing picks with their group, or senior researchers curating "best of" lists for a subfield.

🎵
Bayesian Methods — Best of Cosyne Public · 12 items
1 Bayesian computation through cortical dynamics
2 Hierarchical priors in psychophysics
3 Neural population geometry and coding
4 Variational inference in large-scale fMRI
🔒
My must-sees Private · 8 items
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Notes & collaboration

Take notes during sessions. Tag key insights. Export everything. Keep collaborating with people you met — after the conference ends.

Notes are tied to specific presentations. You can tag insights, methods, and follow-up ideas. Export as markdown or share with collaborators.

Talk T-34: Neural population geometry Live notes
Key result: population geometry predicts coding efficiency better than single-neuron tuning.
The orthogonality constraint they use could apply to our auditory cortex data. Key insight
They use a modified version of PCA — ask about their preprocessing. Method
Follow up with Dr. Chung about collaboration on primate data.
Export as markdown Share with lab
Building now

Voice-first AI

The simplest possible interface: just talk. Ask Axy to find people, recommend posters, take notes, or suggest who to meet at your next session.

"Hey Axy, which posters here would be most interesting for me?" — Axy takes agentic actions on your behalf. Finds, filters, schedules, and suggests.

🎤
"Find me people I should meet at this poster session"
SP
Dr. Sarah Park
Poster #247 — uses same Bayesian framework
→ Suggest meeting
JL
Dr. Jun Li
Poster #312 — Stan-based models, complementary approach
→ Add to agenda
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Natural language search

Search every abstract in plain English. No keywords. No filters. Just ask a question and get relevant results.

"Who here is working on reward learning in rodents?" returns ranked results from across all sessions, talks, and posters.

🔍 reward learning in rodent models
12 results across 3 sessions
96
Dopaminergic reward signals in prefrontal cortex
Torres et al. · Talk T-12 · Session A
89
Reinforcement learning in hippocampal circuits
Kim et al. · Poster #78 · Session B
📋

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Never miss the talk that changes everything

Free to get started. Works with any scientific conference.