In response to the rising global concerns about artificial intelligence, Washington DC area based American Institute of Artificial Intelligence has pioneered a multidimensional and comprehensive governance framework and product for artificial intelligence governance. The Institute is announcing the launch of the artificial intelligence governance framework. The American Institute of Artificial Intelligence is announcing the launch of the world's first and most comprehensive Artificial Intelligence Governance Model and product.

The American Institute of Artificial Intelligence is announcing the launch of the world's first and most comprehensive Artificial Intelligence Governance Model and product. Built by performing comprehensive literature reviews and analysis from several fields (Political Science, Sociology. Economics, Philosophy, Computer Science, Ethics, Theology, Law, Communications, Business, Finance, Neuroscience, and many others), the AI Governance Model is designed to address thousands of data points through multi-dimensional analysis. To address public concerns, improve safety of humans, create transparency, and achieve social good and regulatory compliance, the model can be used by different types of entities including small, medium and large companies, government agencies, institutions and others. "Recent research indicates that more than half of UK adults are worried about robots. Our top intellectuals and leaders have warned us that artificial intelligence can pose a serious threat to humankind. Even the White House is concerned and has organized various conferences on the topic. At the American Institute of Artificial Intelligence, we believe that the best way to advance artificial intelligence is to do it responsibly. The AI revolution is by far the greatest change in the history of human civilization and should be approached with the same respect and consideration as we approach nuclear technology and climate change." said Al Naqvi, president of the American Institute of Artificial Intelligence.

COLORADO SPRINGS, CO--(Marketwired - October 05, 2016) - Cherwell Software, a global leader in IT service management (ITSM) solutions, announced today to customers at its annual conference that the Cherwell Service Management platform is utilizing Microsoft Azure Machine Learning to integrate predictive analytics into its ITSM solution. Azure Machine Learning, part of the Microsoft Cortana Intelligence Suite, provides a cloud-based service that enables companies to apply statistical techniques to large amounts of data and leverage analytics to solve problems and create smarter applications. Cherwell customers can now harness the power of Azure Machine Learning to analyze incident and ticket data stored within Cherwell Service Management, and utilize pattern recognition to create algorithms that assist with incident prioritization, triage, and resolution. "Azure Machine Learning and the Cortana Intelligence Suite offer an easy way to add powerful intelligence to existing applications. By integrating Azure Machine Learning with Cherwell Service Management, Cherwell has introduced the next generation of service management," commented Dawson Stoops, VP of Technical Alliances at Cherwell.

Austin--Microsoft Ventures has invested in Austin artificial intelligence startup CognitiveScale, filling out its Series B investment round to more than 25 million, the company reported Tuesday. Cognitive Scale would not reveal the amount Microsoft has invested. In August, the startup announced it had raised a total of 21.8 million in the Series B round from investors such as Intel Capital and Norwest Venture Partners. The Microsoft investment will go towards developing artificial intelligence software for the computing giant's Microsoft HoloLens and Microsoft Azure products, according to a press release. "Our goal is to embed cognitive systems of intelligence into a whole range of new personal computing applications and business processes, from customer engagement, to procurement and regulatory compliance, using hyper-personalized holographic projections and mixed reality," CognitiveScale CEO Akshay Sabhikhi said in the press release.

Hackers demonstrated they can take over a Tesla from miles away if it connects to a malicious Wi-Fi hotspot. Dmitri Dolgov, a longtime veteran of Google's seven-year self-driving car effort, recently took over as technical lead, replacing Chris Urmson. SAN FRANCISCO -- Google's self-driving cars have hit another milestone on the road to the automotive future, notching two million miles on the autonomous-testing odometer. That mark, which the Alphabet-owned company announced Wednesday, was hit as other companies spent the summer dominating the self-driving headlines. Uber recently began picking up Pittsburgh passengers in its small fleet of driverless (though driver-monitored) vehicles, while Ford announced plans to sell transportation that lacked a steering wheel and pedals by 2021.

Adaptive behavioural analytics software reduces'genuine transactions declined' by over 70% and incidence of undetected fraud by 25% Oakhall, the London based analysis firm, estimates that global financial services firms could save at least 12 billion annually by employing adaptive, machine learning fraud management systems according to a study published in conjunction with Featurespace. For the full study see http://www.featurespace.co.uk/cost-of-card-fraud. By employing adaptive behavioural analytics software to both identify actual fraudulent transactions, and reduce the number of'genuine transactions declined' - as well as reducing the costs associated with managing blocked customers - the industry could reduce the 31 billion total annual cost of card fraud by over 12 billion annually. Featurespace is a world leader in adaptive behavioural analytics software. Its services and products are employed in over 180 countries via a wide range of customers, including the leading US payments processor, TSYS, as well as Vocalink/Zapp, William Hill and Betfair.

During its hardware-announcing extravaganza Google announced that its voice-powered assistant/Bluetooth speaker Google Home will cost 129 and will ship on November 4th. It's the stationary piece of Google's AI plans to make the platform all about you. "The goal is to build a personal Google for each and every user," CEO Sundar Pichai said. Like the Amazon Alexa platform, the voice-activated Google Home assistant will control connected home devices. But it also acts as a Chromecast that can stream and be used to control other Google casting devices with your voice.

Today, CircleBack, Inc. announced the launch of 3 APIs based on their artificial intelligence-driven engine, SharedIQ, to revolutionize the state of B2B contact data productivity. Each of the APIs--Email Signature Capture, Contact Append & Company Append--offers enterprise customers the opportunity to build high-accuracy, high-value contact data flow into the hearts of their offerings and bolster the efficiency of the CRM, Marketing Automation Systems, and Account-Based Marketing tools currently on the market. Since the launch of the CircleBack app in early 2015, CircleBack, Inc. has worked to offer businesses the same access to its proprietary AI engine that it offers to over 2 million app users. The CircleBack engine uses artificial intelligence and billions of contact data points to discover, append, and update enterprise contact data. "CircleBack APIs will bring organizations much-needed control of their contact data," explains Manoj Ramnani, CircleBack, Inc. Founder and CEO.

The relentless increase in computing power and the accumulation of big data over the years has sparked intense interest in machine learning and its associated techniques. The new SAS Visual Data Mining and Machine Learning software will feed this need for smarter analytics. Advanced analytics offer insight to businesses, but machine learning and deep learning algorithms take it deeper, revealing insights that were previously out of reach. For example, machine learning use can include facial recognition in security systems, speech recognition in customer service applications, accurate product recommendations in e-commerce, self-driving cars and medical diagnostics. "SAS Visual Data Mining and Machine Learning shatters barriers related to data volume and variety, limited analytical depth and computational bottlenecks. That means greater productivity – and faster, deeper insight," said Hugo D'Ulisse, Head of Analytical Platform, SAS UK & Ireland.

HCL Technologies (HCL), a leading global IT services provider, won the Award for Best AI Innovator at the 2016 AIconics Awards, which celebrate drive, innovation, and hard work in the international Artificial Intelligence Community. HCL won for Satori, a DRYiCE(TM) module that is an AI-enabled web application combining the functions necessary for traditional and 21st-century enterprises, such as content and document management, personal profiling, enterprise social networking, enterprise search, business intelligence, workflow management, and an enterprise application store. The category for Best AI Innovator celebrates the company that is at the front-end of AI innovation, investing significantly in R&D, and committed to advancing the industry. HCL's high placement in these awards underscores the company's commitment to bringing innovative automation and AI solutions to the enterprise. In May, the company won for Best Innovation in Natural Language Processing (NLP) at the London AIconics Awards.