FlowersML_conf 2026

Overview

FlowersML_conf 2026 is a focused, two day in person conference that sits at the intersection of research, practice, and the people shaping what comes next in machine learning. The event is described as an annual conference in New York City, designed for serious practitioners who want to dive into substantial content rather than vendor pitches or keynote speakerships. The page emphasizes that speakers are selected for the value of their contributions and that the conference is not a vendor show. The venue is the NYC Seminar & Conference Center in New York City, and the event runs over two days with a clear emphasis on in person participation, no livestreaming or recordings.

Dates and Location

The main content lists the event as taking place on July 11 and July 12, 2026, in New York City. The location is described as the NYC Seminar & Conference Center, indicating an in person format with a capped attendee capacity and a focus on direct engagement.

Format and Audience

The conference is described as in person only, with no livestream or recordings. It is positioned for practitioners, researchers, and engineers who want practical, rigorous sessions and discussions on real systems, research directions, and the ethical and policy implications of ML.

Tracks and Program

FlowersML_conf 2026 features three tracks:

• Track 01: Research and Foundations — showcasing cutting edge work from academia and industry labs, including papers, findings, and ideas that shape the next generation of models and methods.
• Track 02: Applied ML and Engineering — focuses on real systems and practical deployment, including infrastructure, deployment, evaluation, and lessons learned.
• Track 03: Ethics, Society and Policy — discusses bias, governance, environmental costs, and responsible development requirements.

In addition to the tracks, the program highlights open discussions about the conference format, with emphasis on a curated speaker lineup without sponsored sessions.

Agenda and Experience

The page highlights two days of content with sessions spanning research, applied engineering, and ethics. The tracks appear to be organized into sessions with descriptive narratives about the focus areas, including discussions on real world systems, scalability, and governance. Attendees can expect a structured agenda that facilitates knowledge transfer, hands on examples, and opportunities for Q&A and networking.

Speakers and Community

While specific speaker names are not listed on the page, the conference stresses that speakers are chosen for their meaningful contributions rather than sponsorship or keynote status. This suggests a community oriented program designed to deliver technical depth and practical insights.

Registration and Attendance

Registration is described as open with fees and early bird options, and there is an emphasis on limited capacity (200 attendees) to maintain a participatory, high signal to noise ratio environment. The page notes a CFP status open until June 4, with proposals submitted via the program page. Language is English, and all sessions and materials are provided in English. Attendees should anticipate an in person event with a strong focus on knowledge exchange rather than vendor showcases.

FAQs

• Is the conference online or in person? In person only, with no livestreams or recordings.
• How many attendees? Approximately 200 attendees capacity.
• When is CFP? Open until June 4, with proposals submitted through the proposals page.
• Where is the venue? NYC Seminar & Conference Center, New York City.
• What is the language of the event? English.

Who should attend

Researchers, practitioners, engineers, and policy minded professionals who want rigorous, practical ML content, accessible in a collaborative in person setting. The conference aims to foster serious discussion, robust technical content, and a community focused on real world impact and ethical considerations.