Last Week in AI
Every week, my team at Invector Labs publishes a newsletter to track the most recent developments in AI research and technology. You can find this week’s issue below. You can sign up for it below. Please do so, our guys worked really hard on this:
From the Editor: Machine Learning to Help Programmers
Can machine learning help us to write better code?
That sounds like a scary proposition but is not as crazy as it sounds. Many aspects of programming problems such as bug fixing, code snippet suggestion and testing can be modeled as machine learning problems. Many of the same techniques we use in classification and prediction problems can be applied to code optimization scenarios.
Using machine learning models to improve the quality of code and the lifecycle of software programs is an active area of research. Large software companies like Microsoft, Google or Facebook have been leading the charge in this area and these problems become an order of magnitude more critical given their large developer base. Recently, Facebook unveiled Aroma, a new framework that uses machine learning for code recommendations. The ideas in Aroma are still early but they show us the path to a future in which machine learning is a fundamental component of compilers, debuggers and IDEs in order to help developers write better code.
Now let’s take a look at the core developments in AI research and technology this week:
AI researchers from IBM a paper proposing a new distributed deep learning method for speech modeling tasks.
The DeepMind team published an incredibly comprehensive analysis about the state of unsupervised learning methods.
AI powerhouse Prowler published a very interesting analysis of the use of incentives to drive optimization in multi-agent reinforcement learning systems.
Cool Tech Releases
Facebook unveils Aroma, a framework that uses Aroma to make recommendations in programming code.
AI Researchers from Microsoft and Cornell University combined the AirSim drone simulator and reinforcement learning techniques to build autonomous robots that can navigate tunnels.
Facebook open sources Habana backend for the Glow machine learning hardware platform.
AI in the Real World
Elon Musk discusses the Tesla Autopilot system in the AI Podcast
Forbes published a review of Amy Webb’s recent book The Big Nine that describes the impact that tech giants can have in the race to dominate AI.
The Economist published an incredibly comprehensive study about the battle between Google and DeepMind to dominate the future of AI.