Building Artificial Intelligence Units in Rust

General Description

Rust is great for building mathematical models and AI which is the talk of the hour and a great emerging domain is based on mathematics which can crunch realtime data to provide human level insights which helps in making logical decisions.

There are already many crates in rust which provide AI units which help in implementing deep learning and reinforcement learning systems and algorithms.

Proposals basically deep dives into such implementations in rust and covers the benchmarks of performance of the rust crates with the industrial grade libraries such as tensor flow and caffe. The Talk touches upon the major problems in the industrial grade libraries and how rust can help in avoiding them.

Demos of few mathematical models to perform prediction tasks and how to start off development of models from scratch in rust will be demonstrated.

Session Content

  • Introduction to AI
  • Current AI crates
  • Demo on Male and female detector
  • Template for mathematical model building
  • Benchmarks of Rust Crates
  • Areas of improvements and rust unique offerings

Key Takeaways

  • Learn to build your first machine learning program in rust
  • Template for creating mathematical implementation from scratch
  • Benchmarks of rust ML crates
  • Learn the different benchmark parameters

Day 2 (10th June) 12:50 PM - 01:20 PM
Training Theatre
English (English Slides)
For Coders and Tech Audiences with General Knowledge and Skills.
Any experience with coding in any language is good enough and people interested to know about parallelism. Experience with rust language is big plus but not compulsory as the session will cover the core concepts.


Photo of Vigneshwer Dhinakaran

Vigneshwer Dhinakaran Vigneshwer

Vigneshwer is an innovative data scientist with an artistic perception of technology and business, having 3+ years of experience in various domains such as IOT, DevOps, Computer Vision & Deep Learning and is working as a research analyst crunching real-time data and implementing state of art AI algorithms in the Innovation and development lab of the world’s largest decision science company in Bengaluru, India.

Nationality: India