The development centre of the global telecommunications operator Orange, Orange Silicon Valley (OSV), starts cooperation with Finnish artificial intelligence (AI) startup Valossa. Orange, which is one of the world's leading telecommunications operators, will be using Valossa's Val.ai platform for identifying objects and people in real-time across more than 25 simultaneous HD video streams. Val.ai platform is based on years of research at the computer vision and AI labs of the University of Oulu in Finland. The platform is capable of analysing movies and streaming videos in real-time and identifying thousands of concepts, like places, objects and unique topics, from any video stream. "We are excited to collaborate with Valossa and OSV to bring High Performance Server and Storage platforms, which normally are only available in Supercomputing Data Centers, to the Media and Entertainment industry," says Andy Lee, Echo Streams' Director of Product Marketing.

The most important question for Game of Thrones fans belongs to quantum mechanics: Schrödinger's Jon Snow. Or in other words, is...

Artificial intelligence and wearables thrive across healthcare sectors, says Frost & Sullivan MOUNTAIN VIEW, Calif. While pharma companies have been seeking tools for tracking the effectiveness of therapeutics, imaging companies have been augmenting the interpretability of scans through cognitive pattern interpretation. For complimentary access to more information on this research, please visit: http://frost.ly/2b. Approximately 24 percent of consumers currently use mobile apps to track health and wellness, 16 percent use wearable sensors and 29 percent use electronic personal health records. Significantly, 47 percent of consumers reported they would consider using wearables in the near future, prompting technology developers to design wearables with advanced sensing, capture and analytical functionalities.

There is an unreasonable amount of information that can be extracted from what people publicly say on the internet. At Heuritech we use this information to better understand what people want, which products they like and why. This post explains from a scientific point of view what is Knowledge extraction and details a few recent method on how to do it. Highly structured databases make it easy to reason with and can be used for inference. For example in WikiData or YAGO, entities are isolated and linked together with relations.

PRESS RELEASE–CAMPBELL, Calif.–[24]7 announced yesterday that it has launched the [24]7 Customer Acquisition Cloud, a suite of marketing technology solutions that enable marketers to better connect with and influence consumers at every touch point. The suite is based on the acquisition of Campanja, a paid search bid optimization company, and EngageClick, a personalized marketing company. Combined with [24]7's predictive customer engagement platform, the Customer Acquisition Cloud gives marketers insight into the entire customer journey, from initial search to the point of purchase. Marketers in large organizations are increasingly challenged to provide the personalization that consumers have come to expect. The Customer Acquisition Cloud empowers companies to achieve more effective customer acquisition at lower cost, increase their understanding of how media spending is driving revenues through marketing campaigns and leverage the consumer interactions that happen annually on the [24]7 platform.

Artificial intelligence (see the Wikipedia definition), specifically machine learning, is an increasingly integral part of many industries, including marketing. Here are a whole bunch of case studies and use cases, as a complete primer for AI in our industry. Predictive analytics allows Netflix to surface and finesse recommendations. This kind of clustering algorithm is continually improving suggestions, allowing users to make the most of their subscription. Uniting information from diverse datasets is a common use of AI.

Today's security systems usually fall into one of two categories: man or machine. So called "analyst driven solutions" rely on rules created by human experts and therefore miss any attacks that don't match the rules. Meanwhile, today's machine learning approaches rely on "anomaly detection," which tends to trigger false positives that both create distrust of the system and end up having to be investigated by humans, anyway. But what if there was a solution that could merge those two worlds? What would it look like?

Artificial intelligence (AI) developed at the Massachusetts Institute of Technology (MIT) can already detect 85pc of cyberattacks and is getting smarter every day, according to the institute. Scientists at MIT's prestigious Computer Science and Artificial Intelligence Lab (CSAIL) have developed AI that they believe can create a line of defence against the numerous cyberattacks that have crippled government agencies, health insurers and many others. And they have also claimed that their AI can detect attacks on networks as they happen 85pc of the time. 'That human-machine interaction creates a beautiful, cascading effect' – KALYAN VEERAMACHANENI, CSAIL This is particularly important because the industry standard for threat detection is typically 100 days. AI2, short for Artificial Intelligence Squared, looks at data to detect suspicious activity. It does so by clustering the data into meaningful patterns and then presents its findings to human analysts who identify which events are actual attacks.

Which industries will come to the fore in the next decade, and beyond, and become hubs of innovation? According to former State Department official Alec Ross, they won't be the industries that have dominated technology thus far. Instead, artificial intelligence (AI), genomics and robotics will lead the way. On Tuesday, the Italian Embassy in Washington, D.C., held an event to discuss Ross' recently published book, The Industries of the Future. He expounded on the book's themes and highlighted what it will take for individuals, companies and countries to harness the changes that he sees coming to the global economy.

SAN FRANCISCO, CA--(Marketwired - Apr 11, 2016) - Grishin Robotics announces new 100 million fund, four times the size of its initial 25 million fund, announced in mid-2012. Originally one of the first exclusively robotics funds in the world, the firm now expands its investment focus to companies involved in the "Hardware Revolution" and becomes one of the ecosystem's largest players. While Dmitry self-financed Grishin Robotics' investments until now, a number of institutional and individual investors from Europe and the U.S. became partners in this new fund. Until recently, people mainly thought about robots as multi-functional products in humanoid form-factor. Today single-purpose devices, combining sensors with software and data analytics components, have the potential to radically automate the physical world around us -- eliminating "dirty, dull & dangerous" tasks from our lives and, thus, realizing the ultimate purpose of robotics.