Facebook have introduced Instant Articles, a new product for publishers to create fast, interactive articles on Facebook. As more people get their news on mobile devices, Facebook wants to make the experience faster and richer on Facebook. People share a lot of articles on Facebook, particularly on our mobile app. To date, however, these stories take an average of eight seconds to load, by far the slowest single content type on Facebook. Instant Articles makes the reading experience as much as ten times faster than standard mobile web articles.
Leveraging the same technology used to display photos and videos quickly in the Facebook app, articles load instantly, as much as 10 times faster than the standard mobile web. Powerful new creative tools bring your stories to life. Instantly zoom into high-resolution photos and tilt to explore in detail. Watch autoplay video come alive as you scroll through the article. See where it all happened with interactive maps. Hear the author’s voice with embedded audio captions.
Meet Cur the first smart pain relief wearable that uses TENS technology (TENS therapy is a clinically proven, drug-free option that uses electrodes to relieve pain). Place it where it hurts. Cur senses pain to deliver optimized and sustained pain relief. Cur treats pain by delivering TENS therapy, a treatment approach widely used in physical therapy clinics and hospitals for over forty years. Pain is transmitted electrically by the body as nerve signals. TENS delivers gentle electrical pulses that inhibit these nerve signals to stop pain. Unlike pain medications, TENS has no side effects and is clinically proven for treatment of most types of muscle and nerve pain including back pain and arthritis.
“What is this a picture of?” Humans can usually answer such questions instantly, but in the past it’s always seemed out of reach for computers to do this. For nearly 40 years I’ve been sure computers would eventually get there—but I’ve wondered when. I’ve built systems that give computers all sorts of intelligence, much of it far beyond the human level. And for a long time we’ve been integrating all that intelligence into the Wolfram Language. Now I’m excited to be able to say that we’ve reached a milestone: there’s finally a function called ImageIdentify built into the Wolfram Language that lets you ask, “What is this a picture of?”—and get an answer. And today we’re launching the Wolfram Language Image Identification Project on the web to let anyone easily take any picture (drag it from a web page, snap it on your phone, or load it from a file) and see what ImageIdentify thinks it is:
This article first appeared on 702 : TECHNOBYTE for 15 May 2015