For this week's ML practitioner's series, Analytics India Magazine(AIM) got in touch with Théo Viel, a Kaggle GM and a deep learning researcher at a French Startup called Damae Medical. In this interview, Théo shares his rich experiences from an impressive career in the world of algorithms. Théo: I recently graduated from a French Engineering school at which I studied applied Mathematics and Computer Science. I did the Ecole des Ponts ParisTech which is a Grande Ecole: it is a great school to do if you aspire to be a Data Scientist in France. I was introduced to Machine Learning at school, but mostly got into it during my internships, and doing Kaggle competitions.

Many of you have probably been to France, considering that it's the most visited country in the world. While you were there, you may have noticed that the country is quite large – about the size of Texas, but with far fewer Mexicans. Like Texans, the French are proud of where they come from, and will ramble on about it in their funny little accents much to the chagrin of anyone within earshot. This sense of national pride is what made our article on "The Top-10 French Artificial Intelligence Startups" quite popular, and as we promised, we're going to follow up with an article on some French AI startups in healthcare. None of the top French AI companies we wrote about last month came from the healthcare sector, which happens to be the cornerstone of Monsieur Macron's $1.8 billion AI investment program over the next four years.

Tech giant Google has added to its vast technology services stable by acquiring Paris-based startup Moodstocks, which has developed machine learning based image recognition technology for smartphones. The acquisition by Google will see it add the recognition technology of Moodstocks to its already large number of services it offers which use machine learning, such as Google Translate, Smart Reply in Inbox and the Goggle app. With many of its services already relying on machine learning technologies, Google's acquisition of Moodstocks will help with implementing visual recognition. The Moodstocks team of engineers and researchers, based in Paris, developed new algorithms for Visual pattern recognition and machine learning, as well as a technology for the recognition of images and objects via mobile devices. Head of the R&D Center of Google France, Vincent Simonet, wrote in a blog on July 7 to announce the deal, said that while great steps forward were taken by Google in terms of Visual recognition, there was still much to be done in this area, stating that the company expects that to be where Moodstocks comes into its own.

Your smartphone is about to get even smarter. As artificial intelligence and machine learning become all the more influential across the tech industry, tech giant Google has just made moves to improve its own AI capabilities by purchasing Moodstocks, a French startup that is particularly adept at helping phones recognize objects. Soon, you may be able to simply point your mobile device at whatever strikes your fancy, and have your phone tell you what it is (and perhaps tell you a bit about it). In a blog post announcement on Wednesday morning, Vincent Simonet, the head of Google France's R&D Center noted that a number of Google services already employ machine learning "to make them simpler and more useful in everyday life," including Smart Reply Inbox and Google Translate. And while Google has already "made great strides in terms of visual recognition," Simonet writes, as you can currently search for a term in Google Images and be presented with pretty decent image results, Simonet notes "there is still much to do in this area."

Google buys machine vision startup focusing on'instant object recognition' It's a good time to be a machine learning startup. Two weeks after Twitter bought, has purchased . The acquisition was made for an unknown sum, and seems primarily a grab for talent. Moodstocks' engineers and researchers will move to Google's Paris R&D site, and the startup's primary commercial product -- an image recognition API for smartphones -- will be phased out. "Ever since we started Moodstocks, our Read More ... Tags: Computer systems Artificial intelligence Machine intelligence Machine learning Places: Americas North America United States Google today announced it has acquired French machine learning startup Moodstocks for an undisclosed sum. The deal is expected to close in the next few weeks and seems to be focused primarily on the talent, with the team at Moodstocks moving to Google's Paris R&D site, and its image recognition API for smartphones to be gradually phased out.

Google on Wednesday announced a deal to buy Moodstocks, a French startup behind technology that helps smartphones recognize whatever they are aimed at. Moodstocks caught the US technology giant's eye for its work in computer vision and machine learning, as well for accomplishments in enabling smartphones or other mobile devices to recognize images and objects. Google is among Silicon Valley titans investing in ways to get computers to see and understand the world around them the way people do. Machine learning has been woven into an array of Google offerings, such as its free language translation and photo services. "There's a lot more to be done to improve machine vision," Google France tech site lead Vincent Simonet said in a blog post.

Google on Wednesday announced a deal to buy Moodstocks, a French startup behind technology that helps smartphones recognize whatever they are aimed at. Moodstocks caught the US technology giant's eye for its work in computer vision and machine learning, as well for accomplishments in enabling smartphones or other mobile devices to recognize images and objects. Google is among Silicon Valley titans investing in ways to get computers to see and understand the world around them the way people do. Machine learning has been woven into an array of Google offerings, such as its free language translation and photo services. "There's a lot more to be done to improve machine vision," Google France tech site lead Vincent Simonet said in a blog post.