FlowersML_conf

Where
machine
learning
blooms.

Two days at the intersection of research, practice, and the people shaping what comes next in Machine Learning.

Timeline
Exhibitor Deadline
27 July 2026 ()
Early Bird Registration Deadline
31 July 2026 ()
Call for Proposals Deadline
31 July 2026 ()
Regular Registration Deadline
16 August 2026 ()
Late Registration Deadline
31 August 2026 ()
Conference Dates
26 & 27 September 2026 ()
About

A serious conference for serious practitioners.

FlowersML_conf began as a small event in 2023 and has grown into one of the most focused Machine Learning gatherings in NYC.

Track 01
Research & Foundations

Cutting-edge work from academia and industry labs. Papers, findings, and ideas that will shape the next generation of models and methods.

Track 02
Applied ML & Engineering

Real systems, real constraints. Practitioners sharing what actually works at scale including but not limited to infrastructure, deployment, evaluation, and hard lessons.

Track 03
Ethics, Society & Policy

Bias, governance, environmental cost, and what responsible development actually demands of us.

20 sessions · Day 01
8:30 amRegistration & Morning Coffee
9:00 amKeynoteOpening RemarksDr. Leah Ramirez
9:20 amKeynoteThe Bitter Lesson Revisited: What Scaling Actually Taught UsProf. Bernard Okafor
10:05 amShort Break
10:15 amTalkResearch
Toward Mechanistic Interpretability at Scale: Sparse Autoencoders Beyond Toy Models
Dr. Jason Lee
10:15 amTalkApplied
Shipping LLM Products Without Breaking Everything: Lessons from 18 Months in Production
Samantha Patel
10:15 amTalkEthics
Auditing Foundation Models: Methodologies, Gaps, and Who Should Pay for It
Malik Mensah
10:50 amTalkResearch
Data Mixture Laws: How Corpus Composition Predicts Downstream Capability
Dr. Silvia Rossi
10:50 amTalkApplied
Evaluation Pipelines That Don't Lie to You: Building Ground Truth at Scale
Jonathan Kim
10:50 amTalkEthics
Environmental Accounting in ML: Why Current Carbon Estimates Are Almost Certainly Wrong
Dr. Emma Park
11:25 amLightning TalksResearch
Lightning Talks - Research Track
11:25 amLightning TalksApplied
Lightning Talks - Applied Track
11:25 amLightning TalksEthics
Lightning Talks - Ethics Track
12:00 pmLunch
1:15 pmKeynoteAgents in the Wild: What Six Months of Real Deployments Actually Looked LikeAngela Rivera
2:00 pmTalkResearch
Superposition and Polysemanticity: New Evidence from Activation Patching at Depth
Dr. Marcus Evans
2:00 pmTalkApplied
The Latency Tax: Real Costs of Chain-of-Thought in Customer-Facing Products
Lauren Schneider
2:00 pmTalkEthics
Differential Privacy for Fine-Tuning: What Practitioners Actually Need to Know
Dr. Aisha Rahman
2:35 pmTalkResearch
Long-Context Faithfulness: Measuring How Well Models Actually Use What You Give Them
Noah Bekele
2:35 pmTalkApplied
Structured Generation Without the Footguns: A Practitioner's Honest Assessment
Viktor Petrov
2:35 pmTalkEthics
Disparate Impact Across Language: Benchmarking Multilingual Models for Fairness
Dr. Heidi Sørensen
3:10 pmAfternoon Break
3:35 pmPanelIs the Benchmark Era Over? How We Know Whether Models Are Actually Getting Better
4:35 pmKeynoteDay One Close & Community AnnouncementsDr. Brian Choi
5:00 pmEvening Reception - Foyer & Rooftop Terrace
What People Say

The best signal-to-noise ratio of any ML conference I attended this year. Every talk earned its slot.

PN
Priya Nandakumar
Research Engineer, applied ML

I came for the talks and left with three collaborators and a co-author. Rare for an event this size.

MW
Marcus Webb
ML Infra Lead

The ethics track was not a token panel, it was some of the most rigorous discussion of the whole conference.

SR
Sofia Reyes
AI Policy Researcher
Why Attend
01
Learn from people shipping real systems

Not just papers — hear how ML actually gets built, broken, and fixed at scale from teams doing it today.

02
Meet your next collaborator

Two days of dense, intentional networking with researchers, engineers, and founders across the field.

03
Get ahead of what is coming

Keynotes and panels that go beyond hype cycles into what will actually matter in the next 12 months.

04
Ask the hard questions

Ethics, policy, and governance get equal billing here, not an afterthought panel at the end of the day.

Call for Speakers

Have something worth saying?

We are looking for practitioners, researchers, and thinkers who can speak from direct experience.

Submit a Proposal →

Closes 31 July 2026