No one is immune to products with shiny packaging, newfangled features, and high list prices--even when you're paid to be a skeptical reviewer of these things. At my last job, I welcomed a constant parade of lotions and socks and blow dryers into my apartment. The goods with fancy logos and trendy colors were the ones that made me thrill at my work. They felt nice to unwrap. They felt glamorous to take selfies with. Some nice things turn out to be duds. A $200 bright yellow hair dryer that I reviewed was slower and heavier than the ones you could find at a drugstore. After consulting several dentists, I learned that a luxury light-up teeth whitener works as well as Crest White Strips. There was a brand-name leather briefcase that my colleagues liked, but I found it was too skinny to tote around my personal essentials, like gym clothes and a bottle of wine. A pair of dog boots that cost as much as shoes for a small human being had trouble staying on my petite beagle's feet for more than 10 steps. More often, nice things can prove exactly as useful as their cheaper counterparts: the high-end treadmill made with the same parts as the version sold at Walmart, the sunscreen bottled and sold like a rare and fancy potion with identical active ingredients to much of the stuff available at the drugstore in bulk. There is simply an upper limit to how well a thing can work, which is why you're reading this, our list of holiday gift ideas that are good--and more importantly, Good Enough.

Inertial sensors play a pivotal role in indoor localization, which in turn lays the foundation for pervasive personal applications. However, low-cost inertial sensors, as commonly found in smartphones, are plagued by bias and noise, which leads to unbounded growth in error when accelerations are double integrated to obtain displacement. Small errors in state estimation propagate to make odometry virtually unusable in a matter of seconds. We propose to break the cycle of continuous integration, and instead segment inertial data into independent windows. The challenge becomes estimating the latent states of each window, such as velocity and orientation, as these are not directly observable from sensor data. We demonstrate how to formulate this as an optimization problem, and show how deep recurrent neural networks can yield highly accurate trajectories, outperforming state-of-the-art shallow techniques, on a wide range of tests and attachments. In particular, we demonstrate that IONet can generalize to estimate odometry for non-periodic motion, such as a shopping trolley or baby-stroller, an extremely challenging task for existing techniques.

Apple could be about to drop support for older models of the iPhone. The company's developer downloads webpage lists all of the devices that are in line for the upcoming iOS 10.3.2 update, which is currently in beta. Missing from the list are the iPhone 5, iPhone 5C and fourth-generation iPad. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.