IntelliVision, a pioneer and leader in AI/Deep Learning video analytics software for smart cameras, announced today that it has been named the 2017 Entrepreneurial Company of the Year for Security Intelligence and Video Analytics by leading analyst firm Frost & Sullivan. "Video analytics and intelligence functions will remain the most in-demand security technology segment for customers looking to modernize their security operations and increase overall efficiency," said Danielle VanZandt, security industry analyst with Frost & Sullivan. "IntelliVision's advanced analytics and intelligence technologies, coupled with its ability to deploy inside the camera, on-premise servers, or on the cloud put it well ahead of its competition in this field." "We are honored to receive this award from Frost & Sullivan," said Vaidhi Nathan, IntelliVision's CEO. "It is a vindication of our many years of research, development and customer service in the growing field of AI-based video analytics for smart cameras." To receive this award, an organization must be on a growth path for success and must be best-in-class in three key areas: understanding demand, nurturing the brand, and differentiating from the competition.

Analytics leader SAS is helping customers gain more value from data with SAS Viya products, extending the value from the SAS Platform. These newest advances, such as embedded artificial intelligence (AI) capabilities, will further address the needs of organisations that are making analytics core to their business. A variety of industries, countries and organisation sizes have embraced SAS Viya products. With SAS, data scientists, analysts, developers, IT, domain experts and executives can all generate data-driven insights – from the same, consistent data, fostering greater collaboration and driving innovations faster. SAS continues to deliver new capabilities, such as image recognition, deep learning and natural language understanding into the SAS Platform. With football (that's soccer in the U.S) contracts being signed at upwards of 50 million US dollars, it is important that agents and clubs understand as much about a player as possible.

Back in May, Google revealed its AutoML project; artificial intelligence (AI) designed to help them create other AIs. Now, Google has announced that AutoML has beaten the human AI engineers at their own game by building machine-learning software that's more efficient and powerful than the best human-designed systems. An AutoML system recently broke a record for categorizing images by their content, scoring 82 percent. While that's a relatively simple task, AutoML also beat the human-built system at a more complex task integral to autonomous robots and augmented reality: marking the location of multiple objects in an image. For that task, AutoML scored 43 percent versus the human-built system's 39 percent.

The RICS has launched an insight paper today which explores the impact of using artificial intelligence (AI) in the built environment, and the urgent need for industry professionals to understand how it will influence their role, as the future will rely less on human labour and more on technology. One sector that the Artificial Intelligence: What it means for the built environment highlights as facing a significant impact of AI is facilities management (FM), due to the labour-intensive and repetitive nature of many FM jobs, making it an ideal place for automation of previously human-dominated tasks. However, the report weighs up the positives and negatives of such changes and how companies should deal with them. The paper discusses how AI will transform the property industry by driving smart, efficient buildings from design through to construction. It also highlights how those in the industry can exploit the latest AI applications and developments, including drones and BIM (Building Information Modelling), to plan and work more effectively, while improving and better maintaining the quality of buildings and the wider built environment. Artificial Intelligence will be one of the driving forces as the globe becomes more urban and digital.

Intel's hardware for accelerating AI computation is finally on its way to customers. The company announced today that its first-generation Neural Network Processor, code named "Lake Crest," will be rolling out to a small set of partners in the near future to help them drastically accelerate how much machine learning work they can do. The NNPs are designed to very quickly tackle the math that underpins artificial intelligence applications, specifically neural networks, a currently popular branch of machine learning. One of the big problems with the large, deep neural networks that are popular right now is that they can be very computationally intensive, which makes them harder to test and deploy rapidly. At first, the NNPs will only get released to a small number of intel partners who the company plans to begin outfitting before the end of this year.

SYS-CON Events announced today that Keisoku Research Consultant Co. will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Keisoku Research Consultant, Co. offers research and consulting in a wide range of civil engineering-related fields from information construction to preservation of cultural properties. JETRO and prefectures of Japan (Nagano, Shizuoka, Okayama, Hiroshima, Fukuoka, Oita) will present more than twenty cutting-edge technology companies for partnership opportunity with U.S. businesses. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy.

DUBLIN, IRELAND--(Marketwired - October 17, 2017) - RecommenderX today announced that it won the Best Use of Data Science In A Start Up Award at the DatSci event held in Dublin on September 21, 2017. DatSci is an annual event that brings together and recognizes the best and brightest that Ireland has to offer in the expanding world of Data Science. RecommenderX is a technology company, focused on helping customers and partners improve productivity, performance, customer engagement, sales and profitability, by transforming Artificial intelligence (AI) to Business Intelligence (BI). RecommenderX is the top spin out of Europe's largest Centre for Data Analytics Insight, with deep domain knowledge in Data Analytics, Artificial Intelligence (AI), Machine Learning (ML), Personalization Technology, Recommender Systems and Explainable AI. "We are thrilled to be an award winner at DatSci 2017," stated Kevin McCarthy, Co-Founder & CTO of RecommenderX. "It is a fantastic validation of the efforts that our world-class team have been making helping companies all over the world harness their data by developing cutting edge applications and solutions that leverage data science and AI technologies."

Marvelstone Group, the private investment firm behind Singapore-based fintech hub LATTICE80, has revealed plans to launch its first artificial intelligence (AI) hub in Singapore's central business district in 2018. This is in a bid to position Singapore as a global leader in AI technologies, which is anticipated to be a main growth engine of the future economy. Marvelstone's AI hub is also aligned with the government's Smart Nation vision. According to the press statement, in Singapore, many ideas in the area of AI are still research focused. Hence, there is a need for an incubator such as Marvelstone to bridge the gap to commercialise them for future use by companies and the government.

Back in May, Google revealed its AutoML project; artificial intelligence (AI) designed to help them create other AIs. Now, Google has announced that AutoML has beaten the human AI engineers at their own game by building machine-learning software that's more efficient and powerful than the best human-designed systems. An AutoML system recently broke a record for categorizing images by their content, scoring 82 percent. While that's a relatively simple task, AutoML also beat the human-built system at a more complex task integral to autonomous robots and augmented reality: marking the location of multiple objects in an image. For that task, AutoML scored 43 percent versus the human-built system's 39 percent.

This post was authored by The Microsoft Cognitive Services Team. Microsoft Cognitive Services enables developers to augment the next generation of applications with the ability to see, hear, speak, understand, and interpret needs using natural methods of communication. Today, we are announcing the general availability of Bing Custom Search API and Bing Search API v7. Showcased at Microsoft Ignite 2017 just last month, these APIs are now both available on the Azure Portal. Let's dive into the features and how to get to started.