A robotic system, which draws from both nautical and biological designs, has been developed by engineers from the Massachusetts Institute of Technology (MIT). Their innovative robotic glider can skim along the water's surface. The research team say their robotic device rides the wind like an albatross while also surfing the waves like a sailboat. In high wind conditions the robot is designed to stay aloft, much like its avian counterpart, whereas in calmer winds, the robot has a keel it can dip into the water allowing it to ride in the manner of a highly efficient sailboat. The robotic system is relatively lightweight, weighing about 6 pounds, and can cover a given distance using one-third as much wind as an albatross and traveling 10 times faster than a typical sailboat.
Many companies, especially retailers, are interested in machine learning, particular for its ability detect fraud. However, many of them are misunderstanding some of the fundamentals of the technology. Tuesday morning at MRC Dublin, an expert panel tried to clear up some of the confusion. Panteha Pedram, director of risk for Ingenico ePayments, advised attendees to know what they want from machine learning. "There's no recipe for everyone to follow," she said.
Sonic Style is hoping to shake up the way music is traditionally categorized, moving past the typical overarching genres like rock or hip-hop to classify each song on a granular level. To that end, Gracenote has amassed nearly 450 Sonic Style descriptors that create a "style profile" of each recording and can pair machine learning descriptors such as tempo and mood with editorial ones, like artist genre, era, and origin. For example, the press release suggests the service can mine through Taylor Swift's catalogue to figure out which songs are more pop, more country, more pop electronica, or god help us, more R&B. That level of musical understanding will hopefully help smart speakers, voice assistants, streaming services, and, yes, even measly humans create better, more personalized playlists. "Sonic Style applies neural network-powered machine learning to the world's music catalogs, enabling Gracenote to deliver granular views of musical styles across complete music catalogs," says Brian Hamilton, Gracenote's general manager of music and auto, in a statement.
Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question--how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits?
Microsoft is already using machine learning and other artificial intelligence technologies to help enterprises ward off cyber-security threats, break language barriers and give harried workers more control over their Outlook calendars. Now, in observance of Global Accessibility Awareness Day, May 17, the Redmond, Wash., software maker is turning its attention to Microsoft 365 users in the workplace. Microsoft 365 is a software and cloud services bundle that includes the Windows 10 operating system, the Office 365 productivity suite and Enterprise Mobility Security (EMS), a cloud-based mobile device and application management toolkit for businesses. On May 16, the company announced that it is building on its Microsoft's intelligent, accessibility-enhancing capabilities with three new features that are scheduled to roll out over the next couple of months. Accessibility Checker, a tool that scans for accessibility issues in content authored on the Office applications for Mac and Windows, will soon be a little more proactive about alerting its users, according to Jeff Teper, corporate vice president of OneDrive, SharePoint and Office at Microsoft.
It seems that there is always a study or analyst op-ed that warns us of the jobs that will be overtaken by artificial intelligence (AI). Oxford University predicted that nearly half of all positions will likely be automated by 2033. And perhaps, even scarier (or encouraging, depending on how you look at it), statics agree that only a fraction of these job losses will happen over the next three years – anywhere between 4%–9%. Leading strategy consultancies confirm the prediction in several studies as well. While such predictions may seem to be riddled with doom and gloom, sometimes we need to remind ourselves of the vast potential for innovation.
Over the last few years, Google and Coursera have regularly teamed up to launch a number of online courses for developers and IT pros. Among those was the Machine Learning Crash course, which provides developers with an introduction to machine learning. Now, building on that, the two companies are launching a machine learning specialization on Coursera. This new specialization, which consists of five courses, has an even more practical focus. The new specialization, called "Machine Learning with TensorFlow on Google Cloud Platform," has students build real-world machine learning models.
Crypto anchor verification and blockchain: a dream marriage? This AI runs on your phone and can spot fake diamonds, test water quality and identify genetically engineered seeds, using your camera. It can even identify the presence of DNA sequences in minutes. The "Crypto Anchor Verifier" from IBM uses computer vision and image processing techniques to glean information digitally that resembles the light absorption spectrum and tracks the random movement (Brownian motion) of microbeads in solution. The company has taken the tool out of the lab and today revealed it is using it to help the Gemological Institute of America analyse and identify the imperfections in diamonds to help predict their grade.