@fanghui 刷一下我头像。

17寸鲁过

@Akagi201 非常感谢

@Yien 我想要一种智能路由表，就是有主动学习功能的。

@zjgood 如果能连和不能连是个问题的时候，快慢就不是问题了吧。

@em70
@RHFS
已经找到重启方法了，用完电，插上USB即可。

@RHFS 感觉上刚刚买的时候是快一些。可能时间久了磨损了吧！

@goodan 可能只是心理作用吧！～

@Exin 被发现了额！

@buobuk
@shiniv
@felixyale
@kurtrossel
@pimin
@biaobiaoqi
@Love4Taylor
@palxex
刚刚把点熬光，总算关机了。现在充电中。坐等重启

都是创业狂！！加油伙伴们！

@singwong 谢谢

@Livid 还不太会用，😄

@Yvette 而且还是五天前！

可以的哦！很棒！服务器用的哪家

IBM's New Brain-Like Chip Squeezes One Million Neurons Onto a StampEXPAND

Cognitive computing has been one of our most exciting frontiers for years. It's enticing to think that we can someday build a computer that's as powerful and as efficient as a brain. IBM's latest miracle chip just got us closer than ever.

Big Blue has married neuroscience and supercomputing to create a new computer chip that's the size of a postage stamp but boasts one million neurons and uses as little electricity as a hearing aid (about 70 milliwatts). It's called TrueNorth. The chip is the second generation of cognitive computing chips that IBM has built in a decade-long effort to build a brain-inspired computer, with funding from DARPA's SyNAPSE program. To give you a sense of how big an innovation the new TrueNorth computer architecture is, you need to know that IBM's first-generation chip only had 256 neurons on it—and that was a big deal at the time.

Want some more impressive figures? Whereas the first generation chip had 262,144 programmable synapses, the new chip has 256 million. The first generation chip had just one neuro-synaptic core. The new one has 4,096. These kinds of improvement spell great news for the applications of brain-inspired chips, which include everything from special glasses to help blind people to see to a tumbleweed-like robot that can perform search-and-rescue missions.

IBM's New Brain-Like Chip Squeezes One Million Neurons Onto a Stamp
EXPAND

The quantum leap in specs isn't just an indication of how much more powerful the new TrueNorth architecture is. It's also solid proof that this type of technology can scale. As you probably already know, the human brain is impossibly complex. And while we've seen plenty of systems that mimic the processes of the brain, the challenge of building a computer that matches the brain's raw processing power has proven to be, well, insanely challenging. Just last year, scientists hailed the success of one of the world's most powerful supercomputers matched just one percent of one second's worth of human brain activity with a whopping 83,000 processors.

That said, according to Murphy's Law—which is still alive and kicking!—we should theoretically be able to accomplish the seemingly impossible task of building computers as powerful as the human brain by 2020. Yet even with IBM's new architecture, which integrates memory, computation, and communication to optimize speed, that deadline seems daunting. IBM's long term goal is to build a neuro-synaptic chip system with ten billion neurons that's no bigger than a two-liter soda bottle. So if you thought the jump from 256 neurons to 1 million neurons was big, IBM needs to make several more, even bigger jumps.

The researchers involved in the project as well as those who could use this technology are nevertheless very excited about this breakthrough. "This is a huge architectural breakthrough that is essential as the industry moves toward the next-generation cloud and big-data processing," said Samsung's Shawn Han in a release. Dr. Dharmendra S. Modha, head of IBM's brain-inspired computing program, offered a more specific outlook, "These brain-inspired chips could transform mobility, via sensory and intelligent applications that can fit in the palm of your hand but without the need for Wi-Fi."

Does this mean your smartphone will be smarter than you in a few years? Probably not, but it's definitely a strong signal that we're heading in that direction. Just don't tell Stephen Hawking. [IBM]

叫做渲染农场。因为渲染的场景越来越复杂，尤其是视频渲染需要很大量的运算，当画面分辨率要求越来越高场景越来越复杂，画面品质越来越高的情况下。以往在单个工作站上一段几分钟的视频往往需要渲染好几天甚至上月。所以需要集群渲染。加快渲染速度。渲染服务器搭建按照最终渲染引擎所支持的技术架构确定，有一些渲染引擎本身支持群集渲染。
@em70
@cevincheung

最好还是买台本本吧。

不限制流量带宽😄