Last Week in AI
Every week, Invector Labs publishes a newsletter that covers 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: Architectures for Building AI at Scale
Building artificial intelligence(AI) systems at scale seems like a problem that only a few companies have and, as a result, there are not many available guidance about what works and what doesn’t. If you are a machine learning architect looking to implement an infrastructure to run machine learning programs at scale, where do you start? As a new industry, we are all learning and trying to figure best practices as we go along.
In our experience, the best reference architectures for implementing machine learning at scale are coming from big technology players like Microsoft, Google, Facebook, Uber, Amazon, etc. After all, they are the companies dealing with these challenges. The great thing is that these companies have been open sourcing many of the frameworks and tools of their infrastructure. Just this week, Uber open sourced its Fiber framework for running parallel, highly scale computations. Following the new releases of those machine learning teams is a great way to spot new best practices and ideas that could be adapted to your machine learning architecture.
Now let’s take a look at the core developments in AI research and technology this week:
Adversarial Neural Networks at Amazon
The Amazon Research team published some details about how the retail giant uses adversarial neural networks to improve product discovery.
Training Robots to Navigate Using Simulations
Microsoft Research published a paper and a dataset about how to use photorealisitic simulated environments to teach robots how to see and navigate.
Translating and Summarizing Documents Without Fine-Tuning
Facebook AI Research published a paper introducing MARGE, a pretrained language model that learns to paraphrase, translate, and summarize text without any fine-tuning.
Cool AI Tech Releases
Amazon Web Services(AWS) announced CodeGuru, a machine learning engine that can automate code reviews.
Uber open sourced Fiber, a framework for scaling computations, like the ones used in machine learning models, to hundreds of thousands of machines
Google announced the general availability of Connected Sheets, which enables the analysis of petabytes of data using the familiar Google Sheets interface.
AI Startups and Relevant News
Amazon, Google Back Nation Research Cloud Bill
Tech giants Amazon and Google have joined over 20 organization supporting an US Congress bill to create a National AI Research Cloud that will give AI researchers access to compute resources and datasets.
YouTube Gets a Smart Reply
Google has adapted its famous SmartReply feature to YouTube.
MIT Takes Down Popular Dataset
MIT has taken offline its high cited Tiny Images dataset over allegations that it contains racist and biased label which can influence the outcome of machine learning models.