Get ready.
Just when you thought you couldn’t possibly read another “2016 prediction” story comes another “2016 prediction” story.
A team of researchers from Germany have developed what could become a revolutionary treatment for male infertility — they build spermbots. The key is a tiny metal helix that attaches to individual sperm cells, allowing them to move more effectively. You can think of it like a prosthetic tail for sperm.
Male fertility issues are usually not related to having an unusually low sperm count, but to having sperm with low motility. That is, they don’t get around very well. Each sperm has a copy of half of a man’s genome in the “head” portion. The tail is actually a flagella with banks of energy-producing mitochondria to power its movement. If either the tail or power source don’t work correctly, a sperm cell will have trouble reaching and fertilizing an egg.
Awesome; this will be wonderful for these brave children of St. Jude.
The St. Jude Medical OPTIS Mobile System combines OCT, FFR and angiography to provide hospitals in Europe and Japan with multiple cath labs the technology for more accurate PCI guidance.
St. Jude Medical, Inc.
This type of VR is what I have been waiting for; your future TV shows will be through VR.
Hollywood is excited about the potential for virtual reality. But few are as enthusiastic as reality television producers, says the founder of a VR company.
The Rise of the Rest and Mars Colonization
The Chinese word for crisis has two characters (危機). The first character represents danger and the second can be interpreted as opportunity, change of time, moment or chance. Even though the meaning of these Chinese characters can vary according to the context and nearby characters, the understanding of crisis (危機) as danger (危) plus opportunity (機) can help us think about the challenges faced by humanity in 2030.
In the coming years, China will have the largest economy of the planet, dethroning the USA to number two, both economically and scientifically. India will also be catching up fast as the third largest economy in the world, and its population will continue increasing after overtaking that of China in 2025. The re-emergence of Asia, as represented by China and India, will create a dramatic shift in power and geopolitics from what has been called the West to the East. The international hegemony enjoyed by the West during the last half millennium will move back to the East, which already led the world in many areas before the European Renaissance.
Fortunately, during the next two decades, the world economy will keep expanding and human conditions will get better throughout the whole planet. Indeed, a rising tide lifts all boats. Poverty will be substantially reduced and the environment will be significantly improved thanks to a growing global conscience and continuous advances in technology. Even Africa, the historic cradle of civilization, but considered a basket case during the last few centuries, will experience its own re-emergence in the world stage. After experiencing growth of 5% during the 2010s, and even higher during the 2020s, most African countries will be joining the rapid development of China and India, like most of the rest of the world.
Stanford University PhD candidate, Song Han, who works under advisor and networking pioneer, Dr. Bill Dally, responded in a most soft-spoken and thoughtful way to the question of whether the coupled software and hardware architecture he developed might change the world.
In fact, instead of answering the question directly, he pointed to the range of applications, both in the present and future, that will be driven by near real-time inference for complex deep neural networks—all a roundabout way of showing not just why what he is working toward is revolutionary, but why the missing pieces he is filling in have kept neural network-fed services at a relative constant.
There is one large barrier to that future Han considers imminent—one pushed by an existing range of neural network-driven applications powering all aspects of the consumer economy and, over time, the enterprise. And it’s less broadly technical than it is efficiency-driven. After all, considering the mode of service delivery of these applications, often lightweight, power-aware devices, how much computation can be effectively packed into the memory of such devices—and at what cost to battery life or overall power? Devices aside, these same concerns, at a grander level of scale, are even more pertinent at the datacenter where some bulk of the inference is handled.
