Anyone who books an Uber in Pittsburgh in the coming weeks may discover that the person behind the wheel is also a passenger. Uber will offer customers rides in robotic taxis within a matter of weeks or days. The company has been developing the technology for the past year and has been testing it on the streets of Pittsburgh. It will launch with about a dozen taxis, with the expectation of having 100 on the road by the end of the year. The taxis will have drivers who can take control in an emergency.

When a 48-year-old male fan of girl band Momoiro Clover Z arrived at a recent concert, he looked into the camera of a facial-recognition device to get his pre-paid ticket. In the past, I used to wait for 30 minutes to an hour before I was able to get in," said the man from Yokohama. The concert was taking place at Seibu Prince Dome in Saitama Prefecture. Operators of the group's concerts introduced the technology in July 2014 to combat scalping. At first, staff would check the concertgoers' IDs.

From launching a yearlong anti-ISIS airstrike campaign in Syria to conducting naval exercises in the South China Sea this week, Russia's military might is showing no signs of slowing after its global expo promoting the country's brand new weapons of war concluded Sunday. The International Military-Technical Forum, an event held this past week near Moscow called "Army-2016," featured more than 11,000 pieces of modern military hardware to show "the maximum range of the export potential of Russian high-tech military products, represented in the form of natural samples on static display and in action on land, water and in the sky," the official website says. Some of the items on display included bombs, air defense systems and unmanned vehicles for both the air and ground that Sputnik News called robots. Below are photos and video of 10 key state-of-the-art weapons of war Russia had on display. The horwitzer armored truck that is also known as the "Phlox" comes with a powerful cannon mounted on top that has the ability to shoot with precision targets that are more than 6 miles away.

This is a tough task, I was in this precarious situation trying to explain to my younger son. I had a curated list of top 10 frequently used Machine Learning algorithms, but the key was to do a backward mapping of these Machine Learning techniques to solve problems which are of interest and relevance to my son. As a starting point to the conversation I asked him, list down your decision making points, meaning there may be many situations when you had to make decisions but you may not have all the information. I took those and matched it to the machine learning algorithms while explaining the core concept behind the problem solving. A classifier is a machine learning technique that takes a bunch of data and attempts to predict which class the new data belongs to. Sure, remember sometime back you were asking me who you want to invite to your birthday party and whether they will accept your invitation or not! Now, assume that you have got a data set about all the other 29 kids in your class. The information contains their hobby, kind of books they read, do they share their tiffin or not, are they friendly, in your last birthday did they come and did they bring nice gifts, etc. Now, given these information, you want to predict whether your classmates will accept your invitation or not.

Machine learning is on a steep adoption curve and making its inroads in our daily lives and work. The application of the technology won't be an issue at all. There's an abundance of meaningful value propositions for many functional areas, business processes and roles across multiple industries. Software vendors of enterprise business solutions are focusing their product development on machine learning and other related artificial intelligence technologies. CEO Bill McDermott of SAP said that intelligent applications will fundamentally change the way you do work in the enterprise in the next decade.

There are two problems facing marketers today. It can be overwhelming and time consuming to get through. That's where Datorama comes in. It's a SaaS-based, big data management platform for advertisers and ad agencies, which uses machine learning and artificial intelligence to make it easier to upload data, and to categorize it. The company closed 32 million in Series C funding, it was announced on Monday.

OSSENDRECHT, NETHERLANDS – After months of tests, Dutch police will become the world's first force to train and employ an army of eagles, using the centuries-old skill of falconry against the modern-day scourge of unauthorized drones. In their first public demonstration of their unorthodox new weapon, Dutch police on Monday sent out 2-year-old Hunter, a female American bald eagle, and her trainer, Ben. And what better scenario to show off the bird's prowess then a mock-up of a state visit? As the "visiting" head of state, played by a woman police officer, emerged from her car at a police academy in the southern Netherlands to shake hands, a drone suddenly appeared. "Attack, attack," came the cry, while sirens began wailing.

A world-first study has identified how cannabis can damage brain circuits to cause significant long-term damage. As our brains develop, we form neural circuits which hold our short-term memory. This process pushes out unnecessary projections, leaving only correct systematic connections in the circuit. These circuits allow us to retrieve recent information such as where you left your keys or what someone just said. They also act as a foundation for long-term memory.

In this form of iterated learning, agents teach each other in sequence: X teaches Y, who then teaches Z, who then teaches... [1-10]. By a classic result of Griffiths and Kalish [3], Quenya will vanish after a finite number of iterations, at which point the agents, assumed to be rational, will be "teaching" each other plain English. In other words, after a while, learners will be taught nothing they don't already know: iterated learning is not self-sustaining. Such findings are hard to validate empirically but variants of it are within the reach of experimental psychology. As early as 1932, in fact, the English psychologist Frederic Bartlett used iterated learning to expose hidden biases among humans. He presented a picture of an owl to a person for given period of time and then asked her to draw it from memory. Her picture was then shown to the next learner for the same amount of time, who then proceeded to draw it back from memory. After 20 iterations of this process, to Bartlett's surprise, what was being drawn was no longer an owl but, quite clearly, a This work was supported in part by NSF grant CCF-1420112.

Not many athletes compete in mind-controlled computer games. Next month, however, more than fifty teams from around the world will meet near Zurich, Switzerland, to demonstrate their skills in manipulating computer characters, going up and down stairs in powered wheelchairs, and racing to pick up objects with their bionic hands. The events, which start on October 8, are part of the world's first-ever Cybathlon, and will bring together the world's best scientists and disabled prosthetic users. But while the Paralympics focuses on outstanding athleticism, the Cybathlon will highlight novel robotic assistive devices that can help people with physical disabilities cope with everyday life. "We are not so much a sports event, and the philosophy is different," Robert Riener, a professor at ETH Zurich University who helped organize the Cybathlon told GeekWire.