Radar, Musk said, is problematic as a control mechanism for autopilot, because the signal doesn't readily distinguish between different types of objects. For instance, the dish-shaped bottom of a metal soda can reflects radio waves in a way that could make it appear to be a deadly obstacle. Yet those same waves will travel right through a solid oak tree, rendering it nearly invisible. To avoid constantly screeching to a halt in front of soda cans, Tesla's autopilot system did not treat radar data alone as sufficient to trigger emergency braking. Instead it relied on processing data from the car's video camera, which can readily identify many common obstacles based on their appearance.

Scientists at IBM Research have collaborated with 20th Century Fox to create the first-ever cognitive movie trailer for the movie Morgan. Utilizing experimental Watson APIs and machine learning techniques, the IBM Research system analyzed hundreds of horror/thriller movie trailers. After learning what keeps audiences on the edge of their seats, the AI system suggested the top 10 best candidate moments for a trailer from the movie Morgan, which an IBM filmmaker then edited and arranged together.

Artificial intelligence researchers at DeepMind have created some of the most realistic sounding human-like speech, using neural networks. Dubbed WaveNet, the AI promises significant improvements to computer-generated speech, and could eventually be used in digital personal assistants such as Siri, Cortana and Amazon's Alexa. The technology generates voices by sampling real human speech from both English and Mandarin speakers. In tests, the WaveNet generated speech was found to be more realistic than other forms of text-to-speech programs but still falling short of being truly convincing. In 500 blind tests, respondents were asked to judge sample sentences on a scale of one to five (five being most realistic).

Some 40 years ago, a long-running series of iconic TV commercials featured the E.F. Typically in a crowded setting like a party or on an airplane, someone would mention that his broker was E.F. Suddenly there was dead silence; no one moved a muscle. Hutton talks, people listen," the announcer intoned. When it comes to computer science, we tend to pay particularly close attention to those we regard as experts and visionaries in the field.

Artificial intelligence is making a lot of promises for even the near future. We already have access to digital assistants like Microsoft's Cortana and Apple's Siri. It has already made great improvements in the healthcare industry. AI can even compose music, dream, and beat us at complex games like Go. All of these advancements are incredible, but why did they start appearing recently, and how far will we be able to push AI? Modern AI has been a thought since the first digital computer was created around the 1940s.

Seeing how AI programmes use algorithms to interpret images, and replicate our human connection in the modern world: that's the premise of Tate Britain's new exhibition, Recognition. The exhibition uses artificial intelligence technologies (such as object and facial recognition) to pair photos from news agency Reuters with paintings from the Tate collection. Visitors are able to view the virtual gallery created by the programme, and learn about why it chose each specific art/photo match, as well as share their favourite choices made by the machine. They can also help out the AI by making their own comparisons between Reuters' real-time news images and the museum's archives. The aim of the project is to find out whether, over the course of three months, the AI programme can learn and improve on its pairings, using its own observations as well as the input of Tate visitors.

HBO's new sci-fi series "Westworld" hardly seems like the show to feature love and romance, but show creator Lisa Joy said that these two things are actually going to be present throughout the show. "I think it goes back to the notion of romantic love, from the earliest myths, from Pygmalion and Galatea," Joy told the L.A. Times of human guests falling in love with the robotic "hosts" of the theme park. "You fall in love with this inanimate creature that you imbue with all your hopes and dreams. "Oftentimes it's narcissism, because you just want to see yourself in their eyes as something wonderful," she continued. "And that's what a lot of these guests are doing.

Can a robot be creative? Advances in cloud robotics--machines connected to supercomputers in the cloud--have given self-driving cars, surgical robots, and other "smart" devices tremendous powers of computation. But can a robot, even one supercharged with artificial intelligence, be creative? Ken Goldberg is the ideal person to ask. For one thing, when he was getting his Ph.D. in computer science at Carnegie Mellon University, Goldberg built a robot that painted. For another, Goldberg, 53, is a computer engineer, roboticist, and artist himself. He grew up in Bethlehem, Pennsylvania, where he forged his creative path.

Robot" Season 2, episode 10 was an intense way to usher in the USA Network's two-part finale. As usual, many questions arose during the episode – especially during the final scene. After learning about Cisco's (Michael Drayer) whereabouts, Dom (Grace Gummer) tracked him and Darlene (Carly Chaikin) down. However, before she was able to persuade them to come with her for an inquisition, a Dark Army gunman sprayed bullets in their direction. Dom was able to come out alive, but did Cisco and Darlene skip death as well? Another big question is Dom's boss's relationship with the Dark Army. Is he working with Whiterose (BD Wong)? Does this guarantee Elliot's (Rami Malek) safety? Aside from that, another big question that begs to be answered before the season ends is: Will Mr. Robot (Christian Slater) and Elliot return to working well together? The two have been out of sync lately, and it appears that it's brought by something Robot is hiding from Elliot. Was he lying when he said they killed Tyrell (Martin Wallstrom)? Perhaps the biggest question that fans want answered before the series closes its second installment is if Tyrell is still alive. In the previous episode, Tyrell's wife Joanna (Stephanie Corneliussen) told Elliot a story about Tyrell's devotion to her and the way he always has a plan. Joanna is sure that Tyrell is still alive and he's the one sending her gifts and calling her from time to time. After Elliot traced the location of the calls, it seems unlikely that it is Tyrell. So the question remains: Where is Tyrell? Will fans know the answer before the season ends? There is no way to know for sure, but the two-part season finale's synopsis has already been released. The synopsis reads: "Angela makes an unexpected acquaintance.

In an era of ubiquitous large-scale streaming data, the availability of data far exceeds the capacity of expert human analysts. In many settings, such data is either discarded or stored unprocessed in datacenters. This paper proposes a method of online data thinning, in which large-scale streaming datasets are winnowed to preserve unique, anomalous, or salient elements for timely expert analysis. At the heart of this proposed approach is an online anomaly detection method based on dynamic, low-rank Gaussian mixture models. Specifically, the high-dimensional covariances matrices associated with the Gaussian components are associated with low-rank models. According to this model, most observations lie near a union of subspaces. The low-rank modeling mitigates the curse of dimensionality associated with anomaly detection for high-dimensional data, and recent advances in subspace clustering and subspace tracking allow the proposed method to adapt to dynamic environments. Furthermore, the proposed method allows subsampling, is robust to missing data, and uses a mini-batch online optimization approach. The resulting algorithms are scalable, efficient, and are capable of operating in real time. Experiments on wide-area motion imagery and e-mail databases illustrate the efficacy of the proposed approach.