ABOUT THE AUTHOR Usman Sheikh Founder and CEO xiQ, Inc.Usman Sheikh is founder and CEO of xiQ, Inc. xiQ has been developed on three principles: Leverage AI to reimagine the buyers journey and customer engagement Use of mobile technology to provide ubiquitous access to business critical information Design thinking to develop user-centric experiences Prior to founding xiQ, Usman was a Vice President with SAP, SE where he had first hand experience with ABM and B2B Sales. Usman has worked in over 40 countries and lived in Singapore, Germany and the United States. Currently he resides in the Silicon Valley, San Francisco Bay Area.

As the winter holidays draw near, we (I speak for myself here, but I believe my colleagues feel the same) first want to thank you again for your trust, support and collaboration with us until now, which helps our young company overcome one by one the challenges in this very competitive industry. With you, we're here to stay, and in the upcoming decade, we will keep improving and enhancing the functions of our AI NVR to continue providing you and your clients the most complete, time-saving, and easy-to-use AI Video Analytics System! Major functions that we've added: The latest LPR engine provides three different modes: Parking Lot, City Road, and Highway. The user can select the appropriate mode to consume the least amount of AI computing resources while maintaining the best accuracy. By detecting the abnormal behavior of a stranger/suspect or capturing gun/weapon from an active shooter in advance, AI NVR assists school administrators and campus police in several states in the US to get the alert in real time, keeping school safe for all.

Every time some genius decides to apply AI where it doesn't belong, the world collectively rolls its eyes and puts another ballot in the AI-Is-A-Fad box. If your dictionary defines AI as magic or robots (or magical robots), of course you'll be disappointed when it doesn't deliver the cure to all that ails you. Let's look at three common gripes using simple examples everyone can grasp. A respectable software engineer once asked me with a straight face, "Can AI know that Canada is a country?" Hold your horses there, cowboy.

Facebook took down more than 600 accounts tied to the pro-Trump conspiracy website The Epoch Times for using identities created by artificial intelligence to push stories about a variety of topics including impeachment and elections. The network was called "The BL" and was run by Vietnamese users posing as Americans, using fake photos generated by algorithms to simulate real identities. The Epoch Media group, which pushes a variety of pro-Trump conspiracy theories, spent $9.5 million on ads to spread content through the now-suspended pages and groups. "What's new here is that this is purportedly a U.S.-based media company leveraging foreign actors posing as Americans to push political content. We've seen it a lot with state actors in the past," Facebook's head of security policy, Nathaniel Gleiche, said in an interview.

This document can be used to guide the development of accountable, de-risked, respectful, secure, honest, and usable artificial intelligence (AI) systems with a diverse team aligned on shared ethics. This document can be used to guide the development of accountable, de-risked, respectful, secure, honest, and usable artificial intelligence (AI) systems with a diverse team aligned on shared ethics.

Machines are getting better at maths – artificial intelligence has learned to solve university-level calculus problems in seconds. François Charton and Guillaume Lample at Facebook AI Research trained an AI on tens of millions of calculus problems randomly generated by a computer. The problems were mathematical expressions that involved integration, a common technique in calculus for finding the area under a curve. To find solutions, the AI used natural language processing (NLP), a computational tool commonly used to analyse language. This works because the mathematics in each problem can be thought of as a sentence, with variables, normally denoted x, playing the role of nouns and operations, such as finding the square root, playing the role of verbs.

The city of Chicago is using algorithms to try to prevent crimes before they happen. In Pittsburgh, traffic lights that use artificial intelligence (AI) have helped cut traffic times by 25 percent and idling times by 40 percent.1 Meanwhile, the European Union's real-time early detection and alert system (RED) employs AI to counter terrorism, using natural language processing (NLP) to monitor and analyze social media conversations.2 Such examples illustrate how AI can improve government services. As it continues to be enhanced and deployed, AI can truly transform this arena, generating new insights and predictions, increasing speed and productivity, and creating entirely new approaches to citizen interactions. AI in all its forms can generate powerful new abilities in areas as diverse as national security, food safety, regulation, and health care. But to fully realize these benefits, leaders must look at AI strategically and holistically. Many government organizations have only begun planning how to incorporate AI into their missions and technology. The decisions they make in the next three years could determine their success or failure well into the next decade, as AI technologies continue to evolve. It will be a challenging period.

Using voice as a medium to access information and control devices is becoming increasingly common. The technology to enable voice and speech recognition improves day by day, thanks to Artificial Intelligence, but there's still some gap between queries being served and processed. Helsinki-based startup Speechly aims to change the status quo by developing new spoken language understanding APIs that can be used to build better voice recognition systems. The company has raised €2M in seed round for realising its goals. As mentioned above, Speechly has secured a funding of €2 million in its seed round.

In a 2018 Accenture Digital Health report, 75 percent of respondents said technology played an essential role in managing their health. When it comes to artificial intelligence (AI) powered digital health and wearable devices, 72 percent said they're willing to share their wearable data with their health insurance plan. The report also found that when AI and robotics consumer interest surpassed the choices available today for virtual care. At the Consumer Electronics Show (CES) 2020 in Las Vegas, January 7-10, 2020, AI-powered digital health devices will be prevalent. For people with hearing loss or who are visually impaired, machine learning in digital health devices can open new possibilities to hear conversations more clearly or see the world around them.

AI can reduce the need for CT scans, which expose patients to higher levels of radiation than other ... [ ] imaging techniques. AI's potential in medicine has already attracted large amounts of media and public attention. However, some of the specific uses and consequences of AI in the context of health care aren't particularly well known, at least not compared to awareness of the general utility of artificial intelligence. Some of these uses may be life-saving, and in more ways than one. In recent months, a small number of companies and researchers have begun using AI for the purposes of medical imaging, harnessing machine learning algorithms in order to construct 3D models out of 2D images.