Posts Tagged ‘image recognition’

Yandex Takes Its Machine Learning Smarts Into New Role as Business Services Provider

yandex-logo (1)Yandex is going beyond web search and into the enterprise. This week it announced a new venture, the Yandex Data Factory, which will apply its machine-learning products and algorithms – which power more than 70 percent of its own products and applications – to business’ Big Data issues.

Using a client’s pre-existing data, the press release notes, Yandex creates an algorithmic model, which it then applies to the client’s new data to predict what will happen next in various scenarios. “This is exactly what is happening every second on Yandex’s services when we personalize search suggestions, recommend music, recognize speech or images, or target ads,” the release notes.

The model cases for Yandex Data Factory include: churn prediction by running segmentation and micro-segmentation algorithms on the data to find patterns in customer behavior that indicate they’re heading for the exit or that possible fraud activity is underway; personalizing cross-sell and up-sell recommendations based on user profiles built upon the searches they made, links or ads they clicked, videos they watched, and other activities; using its speech-to-text technology to analyze call center or other support call speech streams and detect anomalies in interactions to drive employee interaction quality and improve skills.

It also uses history-based prediction technology and its own computer vision and image recognition technologies to enables businesses to analyze large volumes of images and videos to spot anomalies, find recurring objects or events, and other things that will help them assess conditions and assure productivity.

Read more

Google’s Process for Translating Pictures into Words

Google LogoThe MIT Technology Review recently wrote, “Translating one language into another has always been a difficult task. But in recent years, Google has transformed this process by developing machine translation algorithms that change the nature of cross cultural communications through Google Translate. Now that company is using the same machine learning technique to translate pictures into words. The result is a system that automatically generates picture captions that accurately describe the content of images. That’s something that will be useful for search engines, for automated publishing and for helping the visually impaired navigate the web and, indeed, the wider world.” Read more

Researchers Create First Image-Recognition Software that Greatly Improves Web Searches

DartmouthHANOVER, N.H. – Dartmouth researchers and their colleagues have created an artificial intelligence software that uses photos to locate documents on the Internet with far greater accuracy than ever before.

The new system, which was tested on photos and is now being applied to videos, shows for the first time that a machine learning algorithm for image recognition and retrieval is accurate and efficient enough to improve large-scale document searches online. The system uses pixel data in images and potentially video – rather than just text — to locate documents. It learns to recognize the pixels associated with a search phrase by studying the results from text-based image search engines. Read more

Google Buys DeepMind Technologies, Growing Its Deep Learning Portfolio And Expertise

deepmindGoogle’s letting the cash flow. Fresh off its $3.2 billion acquisition of “conscious home” company Nest, which makes the Nest Learning Thermostat and Protect smoke and carbon monoxide detector, it’s spending some comparative pocket change — $400 million – on artificial intelligence startup DeepMind Technologies.

The news was first reported at re/code here, where one source describes DeepMind as “the last large independent company with a strong focus on artificial intelligence.” The London startup, funded by Founders Fund, was founded by Demis Hassabis, Shane Legg and Mustafa Suleyman, with the stated goal of combining machine learning techniques and neuroscience to build powerful general purpose learning algorithms.

Its web page notes that its first commercial applications are in simulations, e-commerce and games, and this posting for a part-time paid computer science internship from this past summer casts it as “a world-class machine learning research company that specializes in developing cutting edge algorithms to power massively disruptive new consumer products.”

Read more

NLP Market Set For Growth; HealthCare Among Leading Early Adopter Industries

rsz_language_pixThe natural language processing (NLP) market is moving ahead at a steady clip. According to the recently released report, Natural Language Processing Market – Worldwide Market Forecast and Analysis (2013 – 2018), the sector is estimated to grow from $3,787.3 million in 2013 to $9,858.4 million in 2018. That’s an estimated 21 percent CAGR.

The report considers the market to factor in multiple technologies — recognition technologies such as Interactive Voice Response, Optical Character Recognition, and pattern and image recognition; operational technologies such as auto coding and classification and categorization technologies; and text analytics and speech analytics technologies; as well as machine translation, information extraction and question-answer report generation.

Driving the uptake, the report notes, is the need to enhance customer experiences, especially in an age when the smartphone rules, and Big Data predominates. Big-time industry adopters of the technology, it cites, are healthcare, banking and financial services, and e-commerce, where a big growth in real-time and unstructured customer data and transaction information can be taken in hand by NLP technology to analyze customer needs and then optimize responses to them, taking out some of the human labor costs of doing so.

Read more