Non-linear spectral decompositions of images based on one-homogeneous functionals such as total variation have gained considerable attention in the last few years.

Fox News contributor Dr. Marc Siegel weighs in on how artificial intelligence can change the patient-doctor relationship on'America's Newsroom.' It's been shown to detect cancer, pinpoint cavities and answer medical questions -- and now, artificial intelligence may help fertility doctors select the ideal embryo for in-vitro fertilization (IVF). With one in every five U.S. adult married women unable to get pregnant after a year of trying, per the Centers for Disease Control and Prevention (CDC), many turn to IVF for help. The fertility treatment is responsible for between 1% and 2% of all births in the country. The process, however, is not guaranteed -- and it's expensive, averaging more than $12,000 per session, according to the American Society of Reproductive Medicine.

Louise Brown, the world's first "test tube" baby, was born in 1978 through in vitro fertilization (IVF). In IVF, sperm and egg meet outside the body and the best resulting embryo is implanted into the womb in hopes of a healthy pregnancy. "There have been so many advancements in the bioscience aspects of IVF since then, but it lags behind other healthcare verticals big time as far as data science -- and there is a lot of data that is not being used," Eran Eshed, CEO and cofounder of Fairtility, tells ISRAEL21c. "Today, the process of assisted reproductive technology is based on experience and subjective judgment. The outcomes are not very impressive – it takes an average of three IVF cycles per patient to take a baby home," says Eshed.

Faception thinks it can identify potential terrorists just by their faces. As humans, we're taught at an early age to not judge people by the way they look. And that's for a good reason--people's natures aren't defined by their physical appearance. Faception, a startup backed by legitimate venture capitalists, thinks you can judge a book by its cover. They claim their artificial intelligence algorithms can look at faces and tell which ones are likely to be terrorists, professional poker players, pedophiles, or (worst of all) brand promoters, as reported by The Washington Post.

A company claims it can identify terrorists, paedophiles and ace poker players simply by looking at their face. Faception, an Israeli start-up, says its technology can spot character traits that are undetectable to the naked eye. The company claims its software classified nine of the 11 Paris massacre jihadists as terrorists from their facial features without inputting any prior knowledge of their involvement. It appears to have been so successful, the firm says it is now working with a homeland security agency to help identify criminals. Shai Gilboa, Faception chief executive, said: 'We understand the human much better than other humans understand each other.