Back to GR8Conf Europe in Denmark, for the yearly Groovy community reunion! I had the chance to present two talks. The first one on Google’s Machine Learning APIs, with samples in Groovy using vision recognition, speech recognition & generation, natural language analysis. I’ll come back on ML in Groovy in forthcoming articles. And the second talk was an overview of Google Cloud Platform, focusing on the compute and storage options, with demos using Groovy frameworks (Ratpack, Gaelyk, and the newly released Micronaut) and how to deploy apps on Compute Engine, Kubernetes Engine, App Engine. Read more...

Last month, for the first time, I visited Riga (Latvia), for the DevTernity conference. I really enjoyed my time there, and wish to come back with other topics next time. The organizers took very well care of the speakers, and the presentations were very interesting. I had the pleasure to talk about the pre-trained machine learning APIs provided by Google Cloud Platform, and say a few words as well about TensorFlow and Cloud ML Engine. Read more...

In two weeks, I’ll be flying east, much further east than I’ve ever been! I’ll visit Singapore! And I’ll have a pretty busy week with several events: conference, meetup, user groups, brown bag lunch… and I’ll talk about Groovy, Machine Learning, and chatbots! First of all, on Wednesday 31st, I’ll participate to the Singapore Java User Group, where I’ll give an update on Apache Groovy (the latest improvements, new features, the roadmap). Read more...

The JAX conference, in Mainz, Germany, is coming to an end. I was there with my colleagues Mete and Robert, and had the chance to cover two topics: Machine Learning and Scaling Web APIs. It’s a pleasure to come back to this conference where the audience is always very focused, eager to learn, and is engaging in great and interesting conversations. Machine Intelligence at Google Scale My first presentation was about Machine Learning, and in particular with the Google Cloud APIs, including Vision, Speech, Natural Language, Translate, and Video Intelligence. Read more...

The GA release of Cloud Natural Language API is easier to use, better at recognizing language nuances and adds additional support for Spanish and Japanese Earlier in November, we announced general availability for the Cloud Natural Language API and highlighted the key new improvements. This launch included many additions to the API like expanded entity recognition, granular sentiment analysis with expanded language support, improved syntax analysis with additional morphologies and more. Read more...

All sorts of voice-powered assistants are available today, and chat bots are the new black! In order to illustrate how such tools are made, I decided to create my own little basic conference assistant, using Google’s Cloud Speech API and Cloud Natural Language API. This is a demo I actually created for the Devoxx 2016 keynote, when Stephan Janssen invited me on stage to speak about Machine Learning. And to make this demo more fun, I implemented it with a shell script, some curl calls, plus some other handy command-line tools. Read more...

With my colleague Martin Görner, at the Devoxx conference in Belgium last month, we gave a talk on Machine Learning, on the various APIs provided by Google Cloud, the TensorFlow Machine Learning Open Source project, the Cloud ML service. I didn’t get a chance to publish the slides, so it’s time I fix that! Machine Intelligence at Google Scale: Vision/Speech API, TensorFlow and Cloud Machine Learning The biggest challenge of Deep Learning technology is the scalability. Read more...