Call for Speakers
MLconf 2025 Events
We are making a call for speakers for our 2025 conference schedule as highlighted below. MLconf gathers machine learning & AI enthusiasts from a broad range of industries and academic backgrounds to share new tools, tricks, platforms, algorithms and methods with a broad audience of practitioners. Each presentation offers an educational component to be shared with the community, in which specific algorithms and techniques can be shared and new applications of such are inspired.
- MLconf New York City (hybrid event) – March 27, 2025 in the New York City area:
- submission deadline: January 15, 2025
- submit your abstract here
If you, your team, or organization has done something innovative and novel related to ML algorithms, tools and platforms, AI/ML best practices or building and managing Data Talent to advance the application of machine learning, let us help you share your story with our global ML community.
In your abstract, we encourage you to mention where you feel your techniques will transfer over into other Machine Learning applications, showing where it’s relevant to the MLconf audience. Prior submissions have included presentations related to: Algorithms that have graduated from an academic/theory state and have proven to be effective, robust and scalable in production within industry application; Machine Learning/AI examples of specific challenges faced within current industry and how teams have found success by applying new algorithms and techniques or by applying modifications to existing practices for optimal outcomes; New platforms, tools for machine learning; New business practices for managing and growing data science teams; and Expanding machine learning to new domains.
Abstracts should be 150-500 words in length and should illustrate the level of technicality in the proposed presentation. At the time of the event, presentations will be generally limited to 25-30 minutes in length in order to allow you to provide depth while also allowing for presentations from colleagues and Q&A.
Emphasis should be given to the technical challenges, benchmarks, innovations and motivation for the development of models, algorithms and statistical models to analyze and draw inferences from patterns in data. Your presentation should definitely not be a product pitch.
MLconf has an esteemed Advisory Board consisting of AI/ML experts who assist with the selection of the abstracts that are the most relevant for our community. You will be notified by our MLconf Team via the email address you provide on whether your abstract has been selected. The selected abstracts will make up the final conference agenda.
Topics we are looking for include but are not limited to:
- AI/ML Ops
- Natural Language Processing
- Deep Learning
- Machine/Computer Vision
- Reinforcement Learning
- Data Science for Social Good
- Kernel Methods
- Observability
- Causality
- Embeddings
- Recommendation Systems
- Computer Vision
- Quantum Computing and AI/ML
- Chemistry & AI/ML
- Pandemic Data & ML
- Model Interpretability
- Fraud Detection
- DeepFake Detection
- Generative Teaching Networks
- Facial Recognition/Biometric Identification
- Genetics & ML
- Experimental Reproducibility Best Practices
- Model Uncertainty and Data Drift
- Generative Adversarial Networks
- Transfer Learning
- Adversarial Machine Learning
- IoT and edge computing applications
- Genetic Algorithms
- Tensor Algebra
- Probabilistic Programming and Logic
- Machine Learning for Music and Art
- Bayesian Methods
- Markov Logic Networks
- Synthetic Art, Biology
- Ethics in Machine Learning
- Data / Algorithm Ethics
- Sketching Randomized Algorithms
- AI Education
- Game Theory
- Diversity in AI
- Community Detection
- Time Series
- Image Analysis
- Structured Learning using Neural Networks
- Robotics
- ML in FinTech
- ML in Healthcare
- ML in Retail/CPG/Food
- ML in Manufacturing
- ML in Telecom
- ML in Transportation
In the spirit of sharing knowledge, presentation slides are shared with the MLconf community and photographs and/or video footage of presentations are shared as well.