In a city where robots get kicked, graffitied, and decapitated, an artist built a friendlier alternative. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. It was a showdown worthy of a classic Western, except the things rolling down the street weren't tumbleweeds. Suddenly, something blocked its path, and it was met face-to-interface with another, new robot. This new bot on the block was wildly different from its utilitarian, food-conveying counterpart: Not only did it have blond hair, blue eyes, and a perpetually lolling tongue, but it also had a name.

We test the hypothesis that the microscopic temporal structure of near-field turbulence downstream of a sudden contraction contains geometry-identifiable information pertaining to the shape of the upstream obstruction. We measure a set of spatially sparse velocity time-series data downstream of differently-shaped orifices. We then train random forest multiclass classifier models on a vector of invariants derived from this time-series. We test the above hypothesis with 25 somewhat similar orifice shapes to push the model to its extreme limits. Remarkably, the algorithm was able to identify the orifice shape with 100% accuracy and 100% precision. This outcome is enabled by the uniqueness in the downstream temporal evolution of turbulence structures in the flow past orifices, combined with the random forests' ability to learn subtle yet discerning features in the turbulence microstructure. We are also able to explain the underlying flow physics that enables such classification by listing the invariant measures in the order of increasing information entropy. We show that the temporal autocorrelation coefficients of the time-series are most sensitive to orifice shape and are therefore informative. The ability to identify changes in system geometry without the need for physical disassembly offers tremendous potential for flow control and system identification. Furthermore, the proposed approach could potentially have significant applications in other unrelated fields as well, by deploying the core methodology of training random forest classifiers on vectors of invariant measures obtained from time-series data.

How to Do It is Slate's sex advice column. Send it to Stoya and Rich here. My husband and I have an awesome, intelligent 14-year-old son who identifies as bisexual. We are totally accepting and supportive of him. He has had a few short-lived crushes on different genders, though he doesn't seem to be particularly interested in dating right now. His internet search histories are pretty benign--mostly video game stuff, and the occasional search for "hot girls" and "boobs."

In preoperative planning of left atrial appendage closure (LAAC) with CT angiography, the assessment of the appendage orifice plays a crucial role in choosing an appropriate LAAC device size and a proper C-arm angulation. However, accurate orifice detection is laborious because of the high anatomic variation of the appendage, as well as the unclear orifice position and orientation in the available views. We propose an automatic orifice detection approach performing a search on the principal medial axis of the appendage, where we present an efficient iterative algorithm to grow the axis from the appendage to the left atrium. We propose to use the axis-to-surface distance of the appendage for efficient and effective detection. To localize the necessary initial seed for growing the medial axis, we train an artificial localization agent using an actor-critic reinforcement learning approach, defining the localization as a sequential decision process. The entire detection process takes only about 8 seconds, and the variance of the detected orifice with respect to annotations from two experts is calculated to be significantly small and less than the inter-observer variance. The proposed orifice search on the medial axis of the appendage comparing only its distance from the surface provides a simple, yet robust solution for orifice detection. While being the first fully automatic approach and providing a detection error below the inter-observer difference, our method improved the detection efficiency by eighteen times compared to the existing solution, therefore, can be potentially useful for physicians.

Letting a snake-like robot glide into your mouth and down your throat may sound a bit alarming. Letting such a robot glide into any of your other orifices may sound more alarming still. But the Flex Robotic System from Medrobotics, in Raynham, Mass., has earned high praise from a head and neck surgeon who has sent it snaking down 19 of his patients' throats as of today. "It really is changing the way I do business," says David Goldenberg, director of otolaryngology surgery at the Penn State Hershey Medical Center. "It is the future of head and neck surgery."

About halfway through a 90-minute exploration of Viv, the recently debuted and much heralded next-generation smart assistant platform, I started to experience a bit of deja vu. Here were two highly intelligent and credentialed founders, animated by a sense of purpose and a shared conviction that there Had To Be A Better Way, extolling the virtues of a new platform that, if only it were to be adopted at critical mass, would Change The World For the Better. It reminded me of my early days covering Apple in the 1980s, or Google in the early aughts. And I found myself believing that, in fact, the world would be a better place if Viv's vision prevailed. What Viv is trying to create is a platform shift on the scale of Google search or Apple's app store -- a new way to interact with the Internet itself. Yes, the interface is an intelligent agent that you talk to -- much like Apple's Siri or Amazon's Alexa.

About halfway through a 90-minute exploration of Viv, the recently debuted and much heralded next-generation smart assistant platform, I started to experience a bit of deja vu. Here were two highly intelligent and credentialed founders, animated by a sense of purpose and a shared conviction that there Had To Be A Better Way, extolling the virtues of a new platform that, if only it were to be adopted at critical mass, would Change The World For the Better. It reminded me of my early days covering Apple in the 1980s, or Google in the early aughts. And I found myself believing that, in fact, the world would be a better place if Viv's vision prevailed. What Viv is trying to create is a platform shift on the scale of Google search or Apple's app store -- a new way to interact with the Internet itself.