The basis for using technology to analyze human emotions according to facial cues was inspired by Paul Eckman's research into facial expressions and emotion in the 1960s and 70s. Intrigue and solutions based on the scientific link between emotion and facial expressions has continued ever since Eckman's early published work. Debate and scrutiny are the foundation of scientific inquiry, and scientific conclusions and inferences are built on observation and data. Such is the case with facial coding and Emotion AI technology. Recently, publications like Nature and the Verge have taken a close look at the merits and misconceptions of facial coding and emotion AI.

Though fans may not always notice, professional athletes put thought into their outfits off and on the field. They'll choose custom sneakers on the court, fancy jackets at the press conference and color-coordinated headphones in the locker room. Professional video game players rarely do better than jeans and oversized hoodies. So at its first of several planned ventures to amp up e-sports, a Los Angeles start-up is hoping to give the growing industry a sophisticated look. Ultimate Media Ventures on Monday launched ULT Kills, a fashion line of T-shirts, hoodies, hats and eventually footwear that, in the words of co-founder Nate Eckman, isn't the usual "super-embarrassing … kitschy, nerdy gamer wear."

The method of geometric harmonics is adapted to the situation of incomplete data by means of the iterated geometric harmonics (IGH) scheme. The method is tested on natural and synthetic data sets with 50--500 data points and dimensionality of 400--10,000. Experiments suggest that the algorithm converges to a near optimal solution within 4--6 iterations, at runtimes of less than 30 minutes on a medium-grade desktop computer. The imputation of missing data values is applied to collections of damaged images (suffering from data annihilation rates of up to 70\%) which are reconstructed with a surprising degree of accuracy.