But when it comes to deep learning and artificial intelligence, how do we capture the tangible standards that need to be met for an AI-based service to be successful? This acronym, introduced by NVIDIA CEO Jensen Huang at the GPU Technology Conference earlier this year, describes a framework that addresses the seven major challenges for delivering AI-based servers: Programmability, Latency, Accuracy, Size of Model, Throughput, Energy Efficiency and Rate of Learning. NVIDIA introduced this framework to help customers overcome these important challenges, given the complexity of deploying deep learning solutions and the rapidly moving pace of the industry. "Hyperscale data centers are the most complicated computers the world has ever made," Huang said. They serve hundreds of millions of people making billions of queries, and represent billions of dollars of investment.

Internet-enabled, voice-activated "smart" devices have infiltrated homes, making it possible for people to adjust their bedroom temperature, turn on their oven or order a pizza merely by speaking the command. But talking and beeping devices, combined with other noise-emitting items like TVs, phones and iPads, have created a high-tech racket. It's the opposite of the peaceful retreat many homeowners strive to create. "Homes have suddenly become more'live,' " says Steve Haas, an acoustical consultant who works in luxury residences. "It emphasizes the need for better control."

You want an eye implant? You'll watch the Ripperdoctor lean in to pull your existing, organic eye out (in first-person) and then see the mechanical eye flicker to life. And don't forget to take your post-operation meds. Anyway, the demo took us through two missions. The first, which opened the demo, had us infiltrating a "Scavenger" apartment.

When Apple announced the iPhone X last month--its all-screen, home-button-less, unlock-with-a-look flagship--it placed an enormous bet on facial recognition as the future of authentication. For hackers around the world, Face ID practically painted a glowing target on the phone: How hard could it be, after all, to reproduce a person's face--which sits out in public for everyone to see--and use it to bypass the device's nearly unbreakable encryption without leaving a trace? Pretty damn hard, it turns out. A month ago, almost immediately after Apple announced Face ID, WIRED began scheming to spoof Apple's facial recognition system. We'd eventually enlist an experienced biometric hacker, a Hollywood face-caster and makeup artist, and our lead gadget reviewer David Pierce to serve as our would-be victim.

John Nhial was barely a teenager when he was grabbed by a Sudanese guerrilla army and forced to become a child soldier. He spent four years fighting, blasting away on guns almost too heavy to hold, until one day the inevitable happened: he was seriously injured, treading on a landmine while he was on morning patrol. "I stepped on it and it exploded," he recalled. "It threw me up and down again – and then I tried to look for my leg and found that there was no foot." His comrades carried him back to base camp, but there was hardly any medical care available. It took 25 days before he received proper treatment, during which time he developed tetanus down one side of his body.

The 9,500-year-old Jericho Skull contains a human cranium packed with soil and covered with plaster to replicate individual facial features. Sea shells are used to represent the deceased's eyes. Researchers have reverse-engineered the ancient ritual practice that created one of The British Museum's most important artifacts--the Jericho Skull--revealing the face of a man whose remains were decorated and venerated some 9,500 years ago. The Jericho Skull is also considered the oldest portrait in the museum's collection, and, until recently, its most enigmatic: a truncated human skull covered in worn plaster, with eye sockets set with simple sea shells that stare out blindly from its display case. A facial reconstruction based on the human remains found inside the Jericho Skull.