Get more from AI Weekly
Breaking stories as they happen. Deep dives on the topics you care about. 50+ free courses from Stanford, MIT, and more.
Deep Dives Daily Alerts Learning AIIn the News
Beijing wants A.I. to be made in China by 2030
The country laid out a development plan to become the world leader in A.I. by 2030, aiming to surpass its rivals technologically and build a domestic industry worth almost $150 billion.
Artificial Intelligence is stuck. Here's how to move it forward
"Artificial Intelligence is colossally hyped these days, but the dirty little secret is that it still has a long, long way to go."
A.I. at Salesforce: an inside look
Two years ago, a band of artificial-intelligence acolytes within Salesforce escaped the towering headquarters with the goal of crazily multiplying the impact of the machine learning models—by automating the creation of those models.
Inside Microsoft's plan to bring AI to its HoloLens Goggles
New HoloLens processor will let mixed reality goggles recognize speech and images.
Also in the news...
- Vicarious AI raises $50M for its work on AI applied to robotics. More
- Graphcore raises $30M for its AI chips. More
- The UK government launches a £23M grant for autonomous vehicles. More
Learning
Amazon robot picking competition
Amazon wants to automate the human picking process at its warehouses. This is hard, robots nead to pick up and place arbitrary objects from a potential pool of millions, so Amazon has been running a competition for three years on the subject. Smart way to motivate great teams to work on this.
Hyper Networks
This post describes an approach where a so-called "hyper-network" is used to generate the weights of another network. Thereby improving this network. Hyper-networks provide an abstraction that is similar to what is found in nature: the relationship between a genotype - the hyper-network - and a phenotype - the main network.
Deep Learning for NLP Best Practices
Great post by Sebastian Ruder, with best practices on many aspects of NLP: word embeddings, network construction, multi-task learning, attention and more.
Machine Learning Infrastructure at Stripe
Machine learning at Stripe has a foundation built on Python and the PyData stack, with a production system written in Scala. This talk covers the ML Infra team’s work to bridge the serialization and scoring gap between Python and the JVM, as well as how ML Engineers ship models to production.
Software tools & code
A comparison of distributed Machine Learning platforms
Lessons learned from benchmarking fast Machine Learning algorithms
Some thoughts
Imagenet — 10 year recap
It's been almost 10 years since the creation of Imagenet, the set of images that jumpstarted the Deep Learning revolution. Time to look back at those few years!
Some advice for journalists writing about artificial intelligence
About
This newsletter is a collection of AI news and resources curated by @dlissmyr. If you find it worthwhile, please forward to your friends and colleagues, or share on your favorite network!
Share on Twitter · Share on Linkedin · Share on Google+
Suggestions or comments are more than welcome, just reply to this email.
Thanks!
What do you think?
Join the conversation — share your take on this issue.
Log in to comment