Zach Walton of Web Pro News recently wrote, “Image search is a cornerstone of any search engine. That’s why both Google and Bing are doing everything they can to improve image search to bring up the most relevant images for any search imaginable. While some may argue that recent changes made to Google image search make it worse, Bing is moving ahead with a new strategy that involves deep learning. So, what is deep learning? In short, it’s a type of machine learning that uses artificial neural networks to learn about and understand multiple concepts, including the abstract. In the past, computer systems had to be manually ‘trained’ to recognize patterns or specific images. With machine learning, these systems can now learn to recognize these patterns on their own. When it comes to image search quality, Bing found that integrating deep learning into its systems greatly increased the quality.” Read more
Posts Tagged ‘neural networks’
Gatfol Announces Successful Closing of Angel Seed Fund Round, EU Collaboration and Reaching a Hundred Thousand Users per Month
Luqa, Malta (PRWEB UK) 21 November 2013 — As part of its development initiative into Europe, Gatfol today announced the reaching of further milestones: On reaching set technological programming benchmarks, Gatfol received final funding installments in its initial seed fund round with current investors. Gatfol will utilise the funds to set full EU development- and marketing functionality with Malta as base and operational satellites in New Zealand for Asia-Pacific reach and through government funded programs in South Africa for African continent expansion. Read more
BOSTON, Sept. 12, 2013 /PRNewswire-iReach/ — Delfigo Security filed for United States Patent protection (US Serial No: 12/221,757) on August 6, 2008 for Combining Artificial Intelligence (AI) Concepts with an Event-Driven Security Architecture. Since that date, Delfigo has developed and implemented key concepts described in this original patent, such as cloud and mobile authentication as well as intelligent mobile fraud detection. This key patent was awarded to Delfigo on September 12, 2013. Read more
A new article on EDN Network by Debbie Meduna, Dev Rajnarayan, and Jim Steele of Sensor Platforms, Inc. discusses how to make mobile platforms context-aware. The team writes, “Using the sensors available on these platforms, one can infer the context of the device, its user, and its environment. This can enable new useful applications that make smart devices smarter. It is common to utilize machine learning to determine the underlying meaning in the large amount of sensor data being generated all around us. However, traditional machine learning methods (such as neural networks, polynomial regression, and support vector machines) do not directly lend themselves to application in a power-conscious mobile environment. The necessary techniques for ensuring effective implementation of sensor context are discussed.” Read more
CAMBRIDGE, Mass.–(BUSINESS WIRE)–June 04, 2013– Nara Logics Inc., a company that solves the problem of Web search by crafting a more personalized and liberating Web, today announced the availability of its service nationwide. Previously available in 50 cities throughout the United States and Canada, Nara is now able to curate a unique set of personalized restaurant recommendations for the individual anywhere across the country, from big cities to small towns and everywhere in between. Additionally, Nara has launched its Native iOS app for a sleek, user-friendly mobile experience, as well as a new Website redesign. Read more
It’s April Fool’s Day on the Web, and we’re sensing some semantic allusions and downright sentiment analytics assertions in today’s pranks. Have a look:
- Head over to your Google search engine and you’ll be teased to find out what that smell is with Google Nose. or, as they describe it, the new scentsation in search. Go beyond type, talk, and touch for a new notation of sensation, it promises. The Internet sommelier, Google explains, comes with an expertly curated Knowledge Panels to pair images, descriptions, and aromas. While it credits new technologies such as StreetSense (responsible for Google inhaling and indexing millions of atmospheric miles), and Android Ambient Odor Detection (which collects smells via the mobile OS), it seems to me that the Knowledge Graph had to have a hand in this one.
Dr. Carlo Trugenberger, co-founder and Chief Scientific Officer at InfoCodex Semantic Technologies AG, has co-authored a report reflecting the topic he discussed at last fall’s London SemTech event: An approach to drug research that relies on identifying relevant biochemical information using the company’s autonomous self-organizing semantic engines to text mine large repositories of biomedical research papers.
The model, says Trugenberger, is a departure from many other semantically-engineered approaches to streamlining drug research, which are based on natural language processing (NLP). That’s good for extracting information from documents, he says, but not as adept at discovering knowledge. “That’s what our InfoCodex software is designed for, to find new facts and hidden correlations” in repositories of unstructured information.
Nara Neural Networking Dining Personalization Service Goes Mobile, Adds Cities, And Targets New Categories With Partners
Early in the summer, The Semantic Web Blog introduced readers to Nara, an advanced neural networking service to automate, personalize and curate web dining experiences for users. (See that story here.)
The service is moving ahead with the launch today of its mobile version, as well as in other respects. “We’re now doing a full-on consumer launch of a polished product on both the web and mobile [platforms],” says CTO Nathan Wilson. “People really are clamoring for the mobile component, especially for this [dining] use case.” Versions for both the iPhone’s iOS and Android operating systems are available.
Dollars to donuts most folks haven’t ever found a place to eat courtesy of neural networking technology before. Generally, Internet searches for spots to have a bite come courtesy of friends’ Facebook recommendations, services like Yelp, and even some semantically-powered offerings such as BooRah, now an Intuit company.
But the collection of neuroscientists, computer scientists, astrophysicists, and creative artists behind Nara, launching into public beta today, have taken the advanced neural networking route to automate, personalize and curate web dining experiences for users – though there’s more to come on the future menu. President and CEO Tom Copeman says of the company, which in April secured $3.6 million of a $4.5 million equity offering, that its cutting-edge neural network and proprietary and patented algorithms and process for analyzing tons of web data, and personalizing it, including considering user feedback on the suggestions it offers, is creating a whole new category.
That is the pure-play digital lifestyle brand that “creates an emotional connection between us and the Web. We’re trying to change how people think about the web, and from sense of what it means to me, and makes sense to me, and how personal it is to me.”