San Jose, CA, May 31, 2018 (GLOBE NEWSWIRE) -- The Tech Museum of Innovation is opening a new immersive exhibit which invites visitors to collaborate with AI-powered robots to bring their creations to life. With Animaker, visitors step into a large-scale projection of a jungle temple where robots invite them to form animals out of LEGO/Duplo bricks. Their creations are analyzed by the robots, incorporating cutting edge 3D-scanning technology and an AI-powered search engine that understands 3D content. The animals then come to life in a virtual ancient temple, and can be personalized by changing their look and behavior. This is the first experience in the world where children play and learn about AI by training machines to recognize different interpretations of real world objects.

Will machines take over classical music? In a guest column for Limelight, composer David Stanhope explained how he uses a digital orchestra to bring to life neglected music – without the expense of hiring human musicians – but he's not the only one exploring the role machines can play in the classical music world. At the Meet in Beijing Arts Festival in China, robot pianist TeoTronico struck another blow for the machines, beating out his long-time sparring partner Roberto Prosseda in a piano battle judged by audience applause. TeoTronico – who can play a mean Flight of the Bumble Bee and has collaborated with the likes of Lang Lang – made his debut with the Berlin Philharmoniker under the baton of Michelangelo Galeati in 2012. The robot was built by Italian inventor Matteo Suzzi and has many advantages of his human counterparts, not least his 53 fingers.

How near are we to hear a melody composed by a PC creating it to number 1 in the graphs? On this week's Technology news, we come across the instrumentalist who expects she can create that happen. Taryn Southern has been functioning with artificial brainpower implements for a number of years. Her solo Break Free was composed with the assistance of Artificial Intelligence tools. Obviously, instrumentalists have been implementing all types of equipment for ages, and using processors to produce or improve new melody is not innovative.

Google's decision not to renew a controversial artificial intelligence (AI) contract with the Pentagon has reignited a debate about what Silicon Valley's …

Experts have raised ethical issues surrounding this technology before. The Malicious AI report focused on fake videos to make people believe false information, and could jeopardize political security. The paper doesn't address these concerns too much. But it did say that pushing the limits of this technology and democratising "calls for additional care in ensuring verifiable video authenticity, e.g., through invisible watermarking." Justus Thies, a coauthor of the paper and a postdoctoral researcher at the Technical University of Munich, in Germany, told The Register that he recognized the potential dangers of using AI to manipulate fake videos.

Artificial intelligence (AI) and robots continue to creep into our working lives. Not only are truck drivers, janitors, and bricklayers facing obsolescence in the near future but AI is also influencing knowledge work including paralegal, medical diagnostic and other professions that require less physical manipulation and more interpretation of data. Job automation has also extended to journalism and the creation of news and other content. It is possible that robots might infiltrate the scientific communication ecosystem in the same way. Robotics has been employed in newsrooms for several years, starting small but becoming much more sophisticated lately.

New compliance technology such as AI and intelligent tagging has the power to change compliance. Our webinar which brought together in-house experts and external subject matter specialists has shed light on the latest cutting-edge technologies and how they can help solve the many day-to-day challenges faced by compliance professionals across the globe. In today's rapidly changing regulatory landscape, it is critically important for banks and financial institutions to respond to new regulations with agility, while ensuring that the customer experience does not suffer. These dual demands put pressure on compliance departments. Compliance technology in the form of end-to-end controls capable of mitigating a multitude of financial crime risks can help to alleviate this pressure.

As J.J. Kardwell, founder and CEO of predictive marketing software company EverString, puts it: "Growth-focused sales organizations of every size and stage cannot afford to ignore the benefits of AI-assisted sales." According to research done by Accenture, artificial intelligence is projected to improve labor productivity by as much as 40 percent. It is no surprise that investment in artificial intelligence has increased to $14.9 billion, as of 2014, according to a study conducted by the Bank of America Merrill Lynch. This is projected to increase further by at least 50 percent per year. The same study claims that the innate limitations of humans will make AI the core technology of the so-called "internet of things."

Artificial intelligence (AI) technology is progressing at a rapid pace, as is the application of the technology to solve real-world problems. While the market for chipsets to address deep learning training and inference workloads is still a new one, the landscape is changing quickly – in the past year, more than 60 companies of all sizes have announced some sort of deep learning chipset or intellectual property (IP) design. A new report from Tractica finds that virtually every prominent name in the technology industry has acknowledged the need for hardware acceleration of AI algorithms and the semiconductor industry has responded by offering a wide variety of solutions. Tractica forecasts that the market for deep learning chipsets will increase from $1.6 billion in 2017 to $66.3 billion by 2025. System-on-a-chip (SoC) accelerators such as those found in mobile devices will lead the market in terms of sheer volumes by the end of the forecast period, followed by application-specific integrated circuits (ASICs) and graphics processing units (GPUs).