Do you know why you can't hear the ugly ahem sounds on the podcast Data Science at Home? The ahem detector is a deep convolutional neural network trained on transformed audio signals to recognize ahem sounds. The network has been trained to detect such signals on the episodes of Data Science at Home, the podcast about data science at worldofpiggy.com/podcast But before proceeding, some concepts should be clarified. While the detector works for the aforementioned audio files, it can be generalized to any other audio input, provided enough data are available.

They are wise-cracking companions, able to communicate in more than six million languages. Others are bent on enslaving or destroying humanity, deeming themselves better, more rational caretakers of the Earth in light of our irrational behaviors. Pilot or garbage man, soldier or slave, hero or villain--robots have played every role imaginable in popular science fiction for nearly a century. In the 21st century, real-life robots inspired by their fictional counterparts are beginning to take starring roles in everyday life. Several companies, Google among them, are testing autonomous cars (unfortunately, there is no indication that they will be able to travel into the past or future anytime soon).

Artificial Intelligence vs. Driverless Cars: Which Tech Trend Has More Opportunity? Can tech reduce our regrets? Fujitsu leverages AI to develop highly accurate recognition technology for strings of handwritten ... Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

New research published in the journal Suicide and Life-Threatening Behavior shows how machine learning can help identify suicidal behavior using a person's spoken or written words. The technology was able to pinpoint which participants in the study were suicidal, mentally ill but not suicidal, or neither in the vast majority of cases. John Pestian and a team of researchers studied 379 patients from emergency departments and inpatient and outpatient centers at three locations between Oct. 2013 and March 2015. The patients, who were classified as suicidal, mentally ill but not suicidal, or neither (serving as the control group), answered standardized behavioral rating tests and took part in a semi-structured interview in which they were asked five open-ended questions such as "Do you have hope?" and "Are you angry?" to stimulate conversation. The researchers then pulled verbal and non-verbal language (e.g., laughs, sighs, etc.) from the gathered data and used machine learning algorithms to analyze it.

Not only are online retailers competing with other online stores and brick-and-mortar locations, but also the overall noise that is the Internet. We live in a world where consumer attention span is getting shorter and shorter: 40 percent of people abandon a website that takes more than three seconds to load, and the average shopping cart is abandoned more than 68 percent of the time. I'm hard pressed to find an ecommerce site that is not constantly scrambling to engage more and drive more sales. Technology is finally helping with those efforts in a big way. Artificial intelligence (AI), which has demonstrated its value in industries like marketing, healthcare and finance, is now making a splash in online commerce.

Digital data and cloud storage follow Moore's law: the world's data doubles every two years, while the cost of storing that data declines at roughly the same rate. This abundance of data enables more features, and better machine learning models to be created. "In the world of intelligent applications, data will be king, and the services that can generate the highest-quality data will have an unfair advantage from their data flywheel -- more data leading to better models, leading to a better user experience, leading to more users, leading to more data," Somasegar says. For instance, Tesla has collected 780 million miles of driving data, and they're adding another million every 10 hours. This data is feed into Autopilot, their assisted driving program that uses ultrasonic sensors, radar, and cameras to steer, change lanes, and avoid collisions with little human interaction.

Sieving through resumes for a job seemed to be a universal problem for small and big companies alike. Gifted with technology, we now have access to many online job portals across the world claiming to find the right job for the right person. But how accurate is this service? It is from here that an idea originated in the brains of Arjun Pratap, founder and CEO of EdGE Networks. He believed that most people are in pursuit of passion, money and status and this, they find hard to capture as a package.

Brace yourselves: Artificial intelligence, virtual reality and a host of new emerging technologies are becoming mainstream. Fortunately, for the federal government, two new digital communities will coalesce around these burgeoning technologies in an effort to promote interagency collaboration, partnerships with industry and to exchange ideas about what works. Launched last month, the Artificial Intelligence for Citizens Services and Virtual/Augmented Reality communities add two new focus areas to General Services Administration's Digital Communities effort, which already boasts some 10,000 members and 16 active mission areas. Justin Herman, digital communities and open government lead at GSA, said the communities arose from direct conversations, feedback and analysis from federal agencies themselves. "Agencies had the need for more information and clarification for how to approach these technologies of tomorrow," Herman told Nextgov.

Firmly rooted in the realm of science fiction, artificial intelligence (AI) has often felt external – something happening out there. In reality, AI is a huge part of our everyday lives. We just don't recognize it. Bank alerts of suspected fraudulent charges, smartphone notifications to exercise, Siri or Cortana's ability to recognize voices – are all examples of AI. "Artificial intelligence is basically where machines make sense, learn, interface with the external world, without human beings having to specifically program it," said Nidhi Chappell, director of machine learning at Intel. AI improves lives in many other areas too. By measuring biometrics in sports, data can help measure how an athlete's playing time impacts injury likelihood.

Gillian Tans: 'AI is the future of travel' Artificial Intelligence vs. Driverless Cars: Which Tech Trend Has More Opportunity? Can tech reduce our regrets? Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.