Call for Abstracts, MLconf NYC 2019

MLconf gathers machine learning & AI enthusiasts from a broad range of industries and academic backgrounds to share new tools, 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.

  • 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 & techniques or by applying modifications to existing practices for optimal outcomes
  • New platforms, tools for machine learning. Emphasis should be given to the technical challenges, benchmarks and motivation for the development, not a product pitch.
  • New business practices, for managing, 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 to be in the proposed presentation.

Submit your abstract here.

Topics we are looking for:

  • Natural Language Processing
  • Deep Learning
  • Reinforcement Learning
  • Word Embeddings
  • 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
  • Future of AI, what can we expect to see in the next 5 years?
  • AI Education
  • Game Theory
  • Diversity in AI
  • Community Detection
  • Time Series
  • Image Analysis
  • Structured Learning using Neural Networks
  • Data Science for Social Good
  • Kernel Methods
  • Causality
  • Embeddings (instead of word embeddings, since we’re way beyond words!)
  • Recommendation Systems
  • Quantum Computing and AI/ML
  • Chemistry & AI/ML

Updated Abstract Submission Deadline: 1/04/2019

Submit your abstract here.