Étiquette : machine learning (Page 8 of 10)

California gives Nvidia the go-ahead to test self-driving cars on public roads

14 décembre 2016 /

Nvidia announced that it was partnering with Chinese web giant Baidu to build a platform for semiautonomous cars. (Baidu has approval to test autonomous cars in California as well.) Nvidia also built test cars, and was training them in parking lots and private roads prior to receiving this new approval from the California DMV. And this summer, a self-driving race car competition called Roborace announced that it was using the Drive PX2 in its vehicles.California has been a hotbed for autonomous testing, but that status is becoming decreasingly unique.

Source : California gives Nvidia the go-ahead to test self-driving cars on public roads – The Verge

6 décembre 2016 /

Our checkout-free shopping experience is made possible by the same types of technologies used in self-driving cars: computer vision, sensor fusion, and deep learning. Our Just Walk Out technology automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt.

Source : Amazon.com: : Amazon Go

30 novembre 2016 /

To train Google’s artificial Q&A brain, Orr and company also use old news stories, where machines start to see how headlines serve as short summaries of the longer articles that follow. But for now, the company still needs its team of PhD linguists. They not only demonstrate sentence compression, but actually label parts of speech in ways that help neural nets understand how human language works. Spanning about 100 PhD linguists across the globe, the Pygmalion team produces what Orr calls “the gold data,” w

Source : Google’s Hand-fed AI Now Gives Answers, Not Just Search Results | WIRED

29 novembre 2016 /

« « Chaque minute passée à effectuer une recherche légale est une minute perdue. » C’est aussi envoyer un message à ceux qui pensent être à l’abri de l’automatisation : même les professions expertes auxquelles on accède à minimum bac + 5 n’échapperont pas à une forme de « substitution logicielle », comme l’appelle Bill Gates.En clair, les cols blancs sont autant menacés par les progrès de la technologie que les caissières de supermarché ».

Source : Les robots ébranlent le monde des avocats

25 novembre 2016 /

« The AI vastly outperformed a professional lip-reader who attempted to decipher 200 randomly selected clips from the data set. The professional annotated just 12.4 per cent of words without any error. But the AI annotated 46.8 per cent of all words in the March to September data set.
The AI system was trained using some 5000 hours from six different TV programmes, including Newsnight, BBC Breakfast and Question Time. In total, the videos contained 118,000 sentences ».

Source : Google’s DeepMind AI can lip-read TV shows better than a pro | New Scientist

17 novembre 2016 /

At the start, we pioneered large-scale statistical machine translation, which uses statistical models to translate text. Today, we’re introducing the next step in making Google Translate even better: Neural Machine Translation. […]
At a high level, the Neural system translates whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar.

Source : Found in translation: More accurate, fluent sentences in Google Translate

15 novembre 2016 /

With “RAISR: Rapid and Accurate Image Super-Resolution”, we introduce a technique that incorporates machine learning in order to produce high-quality versions of low-resolution images. RAISR produces results that are comparable to or better than the currently available super-resolution methods, and does so roughly 10 to 100 times faster, allowing it to be run on a typical mobile device in real-time. Furthermore, our technique is able to avoid recreating the aliasing artifacts that may exist in the lower res

Source : Research Blog: Enhance! RAISR Sharp Images with Machine Learning

« Older posts Newer posts »

Archives

Catégories

© 2025 no-Flux

Theme by Anders Noren — Up ↑