SYS-CON Events announced today that Juniper Networks (NYSE: JNPR), an industry leader in automated, scalable and secure networks, will exhibit at SYS-CON's 20th International Cloud Expo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Juniper Networks challenges the status quo with products, solutions and services that transform the economics of networking. The company co-innovates with customers and partners to deliver automated, scalable and secure networks with agility, performance and value. All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

Researchers at the University of Technology in Sydney in Australia have developed the new Shark Spotter algorithm, which uses video footage streamed from drones to detect sharks and alert swimmers. Researchers at the University of Technology in Sydney (UTS) in Australia have developed Shark Spotter, an algorithm that uses video footage streamed from drones to detect sharks and alert swimmers. The researchers say the algorithm is 90% accurate in distinguishing sharks from dolphins, rays, whales, and other marine life. They note the algorithm's accuracy is a significant improvement over human spotters using their naked eye from helicopters in flight, which are 18% accurate, or those spotting from fixed-wing aircraft, which are 12% accurate. They developed the app by flying drones over coastal waters and capturing about 8,000 images.

If you put an AI in charge of your house -- letting it control the lights, the alarms, the temperature, and so on -- how would you want it to act? Should it be "autonomous and challenging" or "obedient and assisting"? Would you prefer if it sounded male, female, or if it was gender neutral? These are just some of the questions Ikea is asking its customers in a new survey titled "Do you speak human?" The questionnaire was launched late last month by SPACE10, Ikea's "future-living lab," which is tasked with exploring how our houses will look and feel in the decades to come.

Twitter's (TWTR) investment in computers that function like a human brain is paying off, in more ways than one. Aside from helping to draw people back to the social media website, the company's growing status in artificial intelligence (AI) is also attracting attention from high profile investors. In an interview with CNBC's Squawk Alley, billionaire businessman Mark Cuban confirmed that he has recently been buying Twitter stock, as well as shares in other big names that work in AI, deep learning and machine learning, such as Amazon (AMZN) and Netflix (NFLX). In the interview, which sent the company's embattled shares up 4 per cent, Cuban claimed that firms specializing in AI are likely to experience better productivity and higher revenues off a smaller workforce, which should subsequently boost earnings. Cuban's encouraging comments came after the social media giant credited better than expected quarterly earnings to machine learning techniques.

The XPrize program is no stranger to moon shots. From capturing carbon to cleaning water -- even literal trips to the moon and Star Trek-style tricorders -- the contest seeks the boldest solutions to humanity's greatest challenges. That tradition continues in the company's latest competition, the IBM Watson AI XPrize, in which 147 teams from 22 countries will compete for a $5 million purse over the next four years. The AI competition will be the first such XPrize that is "open" in that teams will be free to solve any issue they want. There will be a number of "domains" (read: themes) that they can choose from including Health and Wellness, Civil Society, Space and Exploration or Energy and Resources, but so long as the competitors solve their problems using AI, their projects can straddle any or all of these domains.

Diagnosing disease is one of the more labor-intensive aspects of the healthcare system. It also happens to be one that is particularly well-suited to being performed by machine learning algorithms. While work in this area is in its early stages, the technology is evolving rapidly and appears poised to transform diagnostic medicine. Thanks largely to the huge volumes of data collected from patients, medical diagnostics is an ideal domain for machine learning. Much of the diagnostic data is image-based, such as X-rays, MRI scans, and ultrasound imagery, but can also include things like genomic profiles, epidemiological data, blood tests, biopsy results, and even medical research papers. As a result, there is a wealth of data available for training neural networks and for other machine learning techniques.

With hiring volume up this year, recruiters are investigating new AI recruiting innovations to efficiently and creatively manage their increased workflow. The eagerness for bigger and better tools has led to this rise in AI in recruiting: the application of artificial intelligence such as machine learning, natural language processing, and sentiment analysis to the recruitment function. The interest towards adopting AI in recruiting is similar to why it's becoming popular everywhere else – to automate or streamline parts of the workflow, especially time-consuming, repetitive tasks that were previously difficult or impossible to do. Recruiting software that uses AI technology is presenting new opportunities for doing things differently. Here are 5 intriguing AI recruiting innovations.

The remarks by Cuban came six days after Twitter reported better-than-expected first-quarter earnings. The social media company has used algorithms to combat user harassment, vowing to prevent abusive behavior and block repeat offenders from the site. They've also used machine learning to tailor ads and tweets to users. Twitter said in its first-quarter earnings release, it "continued to use other machine learning techniques to improve the relevance of notifications, which increased engagement and brought people back to Twitter." In March, Chief Executive Jack Dorsey said the impact of AI on society would be "positive," but he appeared unsure if the U.S. government is ready to deal with the impact.

Chris began his new role this April after nearly three years as head of digital services at the Getty Research Institute, where he oversaw the digitization of its vast trove of books and special collections materials. Chris came to the Getty from the Yale University Libraries, where he was the digital projects manager, and Beinecke Library digital studio production manager before that. A photographer, tinkerer, and self-described "imaging guy," Chris is as enthusiastic about process--ask him about improving inefficient workflows!--as he is about innovation in 3D scanning and technical imaging. I asked Chris about the new role (which comes with its own acronym, by the way), and what projects we can expect to see from the Getty in his first year. What does the IDMA do?

When Bitfusion launched at Disrupt NY 2015, its focus was on helping developers speed up their applications by giving them pre-compiled libraries that made better use of GPUs, FPGAs and other co-processing technologies. That was two years ago. Today, the hottest market for these technologies is in training deep learning models, something that was barely on the radar when the company launched. Unsurprisingly, though, that's exactly what Bitfusion is focusing on now. As the company announced today, it has raised a $5 million Series A round led by Vanedge Capital, with participation from new investor Sierra Ventures and existing investors Data Collective, Resonant VC and Geekdom.