Researchers at the National Security Agency are using artificial intelligence to characterize strange behaviors in small satellites to understand if they've secretly been brought under adversarial control. "We're looking at a way to characterize telemetry data so that as we deploy new satellites, we can make adjustments," said Aaron Ferguson, the technical director of the encryption solutions office of NSA's Capabilities Directorate, said at a Defense One event on Tuesday. "Now, if you talk to a variety of analysts, and I have at NASA, they'll say, 'Oh, we've got this under control. We checked the data twice, three times,' Ferguson said. "But we really don't know, because there is so much data that they really don't know if something is going wrong. They'll say, 'It's just orbital debris that bumped into the satellite and knocked it off its trajectory."

As artificial intelligence continues to pervade a range of industries, the next generation of jobs is on the horizon. In the UK alone, up to a third of jobs will be automated or likely to change as a result of the emergence of AI -- impacting 10.5 million workers, according to the latest report from global recruiter Robert Walters and market analysis experts Vacancy Soft. "As businesses become ever more reliant on AI, there is an increasing amount of pressure on the processes of data capture and integration. As a result, we have seen an unprecedented number of roles being created with data skill-set at their core," said Ollie Sexton, principal at Robert Walters. "Our job force cannot afford to not get to grips with data and digitalisation. Since 2015 the volume of data created worldwide has more than doubled – increasing (on average) by 28% year-on-year. "Now is the perfect time to start honing UK talent for the next generation of AI-influenced jobs.

New York is always an exciting, energetic city to visit and ... was made even more so as I attended the (recent) 'HPC & AI on Wall Street' conference, which HPCWire are now championing. It was well worth the train ride from Boston and interesting to see the varied mix of attendees present and hear how HPC and AI is evolving in the world of finance. All sectors of the financial services industry (FSI) were represented at the conference from traditional, old school banks to venture capital firms, fintechs and hedge funds. AI adoptions varied from integrating machine learning into existing applications and processes to mining unearthly amounts of market data for a trading edge. My first lesson was there is a dichotomy between too much data volume and insufficient data context within this community. Don't worry the bank account and market value data is as solid as always.

Oracle has added AI voice commands to its Digital Assistant, offering users an alternative way to interact with its various business apps. The company on Tuesday also announced that the bot will integrate with Microsoft's work stream collaboration platform, Teams. Oracle's Digital Assistant was launched last year as an interface to its portfolio of enterprise software applications, which includes sales, marketing and human resource tools. The virtual assistant uses AI techniques such as machine learning and natural language processing and understanding to interpret user intent; it's designed to automate processes such as expense approvals and meeting re-schedules. The Digital Assistant was initially targeted at text interactions and embedded in various communication and collaboration tools such as Slack, WeChat and Facebook Messenger, as well as user websites and as a standalone mobile app.

Raghav serves as Content Lead at Emerj, covering our major industry areas and conducting research. Raghav has a personal interest in robotics, and previously worked for research firms like Frost & Sullivan and Infiniti Research. Four months ago we launched our AI in Banking podcast where we covered some of the most critical topics related to AI adoption and implementation in banks and financial institutions each month. Our series was based on interviews with AI industry experts, many of whom also shared their valuable insights during our first comprehensive banking research project, the AI Vendor Scorecard and Capability Map. For the fifth month, we reached out to the research advisors who had a hands-on role in helping us with our research with the aim of having them speak directly to banking leaders to help them understand how to prepare for AI disruption in banking.

The phrase "artificial intelligence" in pop culture often conjures up dystopian images such as the sentient computer Hal 9000 from the 1968 film "2001: A Space Odyssey" that killed people for its self preservation; or the cyborg assassin with a metal endoskeleton in director James Cameron's "The Terminator." In recent years, our fascination with the potential of AI has taken a more starry-eyed turn, as shown in the 2013 sci-fi drama "Her," where the main character falls in love with a virtual assistant. In reality, artificial intelligence (AI) technology is quickly permeating every aspect of our lives. From Amazon's voice-activated Alexa to writing technology that helps managers craft job postings, AI is in our hearts, homes and workplaces. And it's only going to become a bigger part of our lives: Experts call the rise of AI the driving force behind the fourth industrial revolution. On a recent afternoon at the NVIDIA robotics research lab in Seattle's University District, researchers use a simulated kitchen to test robots' ability to perform simple tasks such as grabbing objects.

We are amidst the 4th Industrial Revolution, and technology is evolving faster than ever. Companies and individuals that don't keep up with some of the major tech trends run the risk of being left behind. Understanding the key trends will allow people and businesses to prepare and grasp the opportunities. As a business and technology futurist, it is my job to look ahead and identify the most important trends. In this article, I share with you the seven most imminent trends everyone should get ready for in 2020.

In a not-too-distant future, recruiting for military special operations could focus less on aptitude scores and physical fitness and more on a computer algorithm that can predict success based on past candidates. Officials with U.S. Special Operations Command are experimenting with artificial intelligence and machine learning to determine whether it's possible to highlight the qualities that distinguish an ideal operator. This summer, officials began collecting and assessing a wide swath of data regarding candidates for Marine Corps Forces Special Operations Command, said David Spirk, SOCOM's chief data officer. "It's really going to be our first experiment. It's exciting," he said at a Special Operations Policy Forum hosted this month by the New America think tank.

According to a research by Forbes, more than 50% of marketers will adopt Artificial Intelligence by 2019. But statistics may sometimes hide more than they reveal. Besides, for the sake of analysis it's prudent to challenge data and research every once in a while. So let's pause for a moment and take a closer look. For an average marketer in today's digitally connected era, the two biggest challenges are – You probably understand the scale and complexity of these challenges, and realize why it's a smart decision for organizations to make investments in marketing automation.

EY today announced it is coming together with the Partnership on AI, a multistakeholder not-for-profit corporation formed to better understand the impacts of artificial intelligence (AI) technologies and to serve as an open platform for discussion and engagement around AI's impact on people and society. This decision reflects the commitment of EY to collaborate with the public and private sectors, civil society, academia and beyond, not only to establish governance and controls necessary for building and maintaining trust in AI systems, but also to help ensure the meaningful technological advancements of AI will have a positive impact. Earlier this month, EY established the first cross-disciplinary EY AI Advisory Board to develop rigorous approaches to addressing the ethical challenges surrounding emerging technologies and help implement strategies for building trusted AI systems. Led by Nigel Duffy, EY Global Artificial Intelligence Leader, the EY AI Advisory Board consists of four academic professionals who are experienced in computer science, technology and ethics, and possess a range of diverse knowledge on the subject matter. Duffy and other EY leaders will meet with the board regularly, with the first meeting taking place in London next month.