Shift Remote AI: Behind the Scenes Development in an AI Company - Matija Ilijas (Microblink)

Jun 9, 20200 likes95 views

Creating any type of company takes enormous amounts of effort, hard work, and persistence. Let alone an Artificial Intelligence company. As we can assure you, it will take a lot more than the above and adding just a team of brilliant AI scientists to build complex real-world AI solutions. In this talk, we will show you the crucial roles of development teams in a high-performing Artificial Intelligence company.

Behind the scenes development
in an AI company
Matija Ilijaš

Shift Remote AI: Behind the Scenes Development in an AI Company - Matija Ilijas (Microblink)

Behind the scenes development
• Development that is not necessarily visible to the outside
• Can drastically vary in size between seemingly similar companies
• Requires more resources and more expertise to scale
• Gives more room for engineers to push the limits of a complex system

Data
Model 
Evaluation
Data
Management
Model 
Training
Model 
Deployment

Garbage in, garbage out
DATA ANNOTATION ACCURACY
RANDOM 50%
CROWSOURCED 95%
THIRD PARTY SERVICE 98%
PROPRIETARY SYSTEM 99,9%

Data management system
• Used by our team of domain experts and data annotators
• Enables maximum annotation efﬁciency with its custom UI
• Runs several quality assurance mechanisms to ensure data quality
• Performs preannotation with our currently best AI models
• Custom built annotation workﬂow for each product

Development
• Software and UI developers
• DevOps, Data and QA engineers
• Internal clients: domain experts and data annotators
• .NET Core microservices using Docker and Kubernetes
• MongoDB, SQL Server on Linux and ElasticSearch
• Figma, ReactJS and enterprise-class UI library

Machine learning engine
• Enables our AI development process
• Optimizes the data management process with AI model serving
• Repository of proprietary neural network layers, architectures and training
procedures
• Production-scale model training and evaluation with deployment

Development
• Software and DevOps engineers
• Experienced with software architecture and microservice development
• Python with emphasis on internal Tensorﬂow integration
• Microservices using Docker and Kubernetes
• Pipeline deﬁnition and execution with Argo
• Metadata storage with MongoDB and PostreSQL

AI inference engine
• Optimizing our needs while open source engines are optimizing
everyone’s needs
• Implemented in C++, completely cross-platform
• Maximum control over privacy of the models
• Multi-model support optimized in both speed and memory footprint
• Our playground for innovation and new products

Development
• C++ developers
• Highly optimized neural network inference
• Latest C++ standards
• Conan C/C++ Package Manager
• Build system with Cmake and Jenkins
• WebAssembly

Complex AI system
• It’s design determines which AI models are needed and how they will
interact to solve the problem
• Additional processing units are implemented by product developers
• Allows control over the parts of the system where crucial or sensitive
decisions are made
• Implemented and exported as a static C++ library

Development
• C++ developers
• Experience in Computer vision
• Product development with AI models
• Compile-time and meta programming
• Latest C++ standard packaged with Conan

Mobile deployment
• Custom Camera management
• SDKs developed for iOS and Android
• Cross-platform auto generated using proprietary code generation tools
• Emphasis on simple UX and use of platform speciﬁc features
• Always exploring new features on platforms

Web deployment
• Custom Web API
• AI system static C++ library wrapped in a Docker container
• Software as a Service (SaaS)
• In-Browser scanning with our AI inference engine powered by
WebAssembly

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Developers want to focus on connecting players together for online multiplayer game sessions, not gaming infrastructure. Google has worked alongside developers and publishers to create Open Match to solve this issue. This open source matchmaking framework provides developers with tools to build a scalable matchmaker without the overbearing tasks of managing their infrastructure when hit with a sudden surge of players. In this talk, we will explore Open Match, its features, and the benefits of building Open Match in open source.

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Shift Remote: Mobile - Introduction to MotionLayout on Android - Denis Fodor ...Shift Conference

This document provides an introduction to MotionLayout on Android, including: - MotionLayout allows declarative animation of layout changes and property animations in ConstraintLayout. - It describes transitions between layouts through ConstraintSets in an XML motion scene file. - A sample animation demonstrates a multi-step transition between ConstraintSets, programmatically starting transitions and setting transition listeners. - The conclusion recommends additional references to learn more about MotionLayout capabilities like defining motion paths and building complex animations.

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