Thinking about the future isn't special skill. Actually, everyone does it all the time. We schedule future activities and appointments on our calendars. We make to-do lists, a promise to ourselves of how we will spend our future time and energy. We look up the weekend's weather. We make predictions about the results of sporting events. We practice, study and train for upcoming events that matter to us. We daydream about events we're eagerly looking forward to. We worry about others.

    Most of this common future thinking is about the near future: the next few minutes, hours, days, weeks, months or maybe even the next few years of our lives. Little time is spent thinking about what our lives will be like or what actions we should prepare to take in the far future: ten years, twenty years, or even fifty years from now. This kind of far-future thinking is the domain of professional futurists.

    Futurists are trained to imagine distant realities that seem impossible to others: technologies that don't exist yet, great changes to laws, strange diseases most likely to infect us in the year 2031. Why indeed think about such distant futures? Are there psychological and social benefits to imagining the world, and our lives, decades in advance? And if so, what does it take to become good at imagining the far future?

    These were the fascinating questions that we recently explored with other futurists. I was personally inspired by the discussions, and learned a lot about how futurists imagine the future of life. They specifically wanted to use their imaginations to make the world a better place. Another big benefit for me was that this way of thinking is a skill that can be taught. Society would benefit greatly if we all learned the valuable skills that enable us to think about what things would be like in the future.

    Maybe it has been the influence of the current scene: the type among urban biking. Apparently, urban biking requires entirely different bikes than suburban hiking does and therefore a Bike Design Project started where five design studios across five cities had to come up with a perfect urban bike. The winning bike will be manufactured for a limited run of 100 hikes and will be in stores next year. Industry, a Portland-based studio, came up with a very interesting bike: one that uses bluetooth and handlebars (车把手) that tell you when to stop or turn.

    Industry worked together with Ti Cycles to create a bike with a 3D printed titanium frame (钛框架). The hike is called Solid and can be connected to a smartphone APP: My Bike. This APP alarms a user when a light needs replacement and if something gets wrong with one's brakes. There is also software called Discover My City, which has a series of routes through Portland's most trendy neighborhoods, with suggestions about where to eat and shop.

    Nevertheless, the idea with cycling is that you need to focus on the road and not on your smartphone. This bike therefore uses integrated feedback on handlebars. Those handlebars tell a user when to turn, as they will buzz when a turn appears. As you are getting closer, they will buzz more frequently. And then there is the possibility to control your light via built-in sensors and change gears by pressing an electronic button.

    Although the bicycle looks highly interesting and can be seen as a piece of art for the designing world, we don't know if we would like our bike to have an automatic buzz when we are approaching a turn. On the other side, it could add some extra safety to traffic in general. Whether you like the bike or not, you have to admit the Portland-based studio brings the concept of urban biking to a whole new level.

    “Oh，my god.Are you serious?”

    That's a reaction I often get when people hear the tale of my childhood.

    It's a story I don't often share.Growing up in a bad home, I learned to protect myself by not speaking up.I've seldom said anything about how badly I was treated and hurt as a child. I don't talk about how my name was changed at least three times, what it was like to live in my van(箱式货车), or how I've struggled with anxiety, depression, and wanting to kill myself. But I learned to start speaking up for myself. I went on to earn two graduate degrees and I will complete my Doctor's degree this year. I've also become a widely published author. So，how did I get to where I am today?

    What's helped me is surrounding myself with caring, loving people. I've learned day-to-day skills through research, trial and error, and with the help of skilled professionals. They've taught me how to slow down，to breathe，to be thankful for what I've got.They're the ones who make my goals possible.They have also taught me to turn my past experiences into strength-to make the negatives into positives.

    My hope is that sharing my story might help others to see what is possible even in the darkest of times and help others to speak out.I don't think I'm in any way special or unique. I'm a common man，no more deserving than anyone else.But for far too long，I've been afraid that others think I'm damaged goods.I've worried about how I might be treated differently.

    Pain and fear teach us to be silent.It's time for that to change.

    I don't know what tomorrow might bring.But one thing I've learned is that if we can hold on and find help，if we find ways to get through the day and speak up，we'11 not only survive，but become stronger than before.

    Our very survival can be an inspiration all on its own.And with love of my friends，I look forward to so much more than completing my education—I look forward to the future.

    Youth volunteers from Beijing University visited Song tang Hospital, a care clinic for the aged and dying patients, during the second Global Youth Service Day on April 21．

    Thirty student volunteers from the university's School of International Studies sat at the beds of the patients in their specially decorated “care huts”. They talked with them and gave massages （按摩）to patients kept in their beds.

    I felt sorry that I could not offer more to these people than talking with them and trying to cheer them up, said Deng Yetao, 20, a third - year student. “But it occurred to me that they need more care and love than babies. They are afraid of the coming death. Their loneliness is worse than physical pains.”

    “Even though they are suffering a lot, the majority of the elderly people want to talk to us. Each of them has a lot of life experiences and philosophies to share. Instead of doing them a favor, I felt I was gaining a valuable lesson. Said Mao Xiaohua, another third - year student.

    Mao talked with two elderly patients for a whole afternoon. The fact that most of the patients in the 80 - room clinic are aged people with diseases which will lead to death soon made the volunteers' hearts heavy.

    Ninety - one percent of the patients will spend the last days of their lives in the clinic, according to a survey by the hospital.

    Daily visits and services by social workers and youth volunteers are a very important part of their programmer. A total of 330, 000 Beijing students from 119 universities and colleges have visited the hospital. Many continue to offer services in their spare time. Some of them volunteer to hold the hands of dying patients during the last minutes of their lives.

    Yin Hang, a student from Beijing Medical College, said he felt“ the glory of life” as he saw the fading smile on the face of the old man who passed into a deep unconsciousness（昏迷）while he was holding his hands.

    If you're a fan of smart technology, you may have had some sleepless nights lately.

    That's because Alexa, the artificial intelligence (AI) behind US company Amazon's Echo smart speakers, has been "letting out an automatic, creepy (令人毛骨悚然的) cackle," for no apparent reason, according to BBC News.

    Many social media users shared their stories of Alexa scaring them with the seemingly unprompted laugh.

    "Every time Alexa laughs, an angel dies," Tesla and SpaceX founder Elon Musk joked on social media.

    On March 7, Amazon released an update that fixed the problem, saying that the laugh was triggered (引发) by Echo devices mistakenly thinking that users had said the command "Alexa, laugh".

    However, what should have been a funny story raised the ongoing topic of man versus machine.

    With the rise of artificial and robotic technology, "Digital machines have started to demonstrate (展示) broad abilities in pattern recognition, complex communication, and other fields that used to only belong to human," wrote Erik Brynjolfsson and Andrew McAfee in their book The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. They believe that AI will "do more and more, and our lives will get better".

    However, ever since the earliest days of AI, there have been concerns that some day, software will take over the world, leaving the fate of humans unknown.

    "With artificial intelligence we are summoning (召唤) the demon ," Musk told students during a meeting at MIT in 2014. "If I had to guess at what our biggest existential threat is, it's probably that. So we need to be very careful."

    Many scientists have shared the same concern. The late British physicist Stephen Hawking said at a technology conference in Portugal in November that "computers can, in theory, imitate human intelligence, and exceed it… AI could be the worst event in the history of our civilization." If creators are to safely control AI, however, Hawking suggested that they "employ best practice and effective management".

    "I am an optimist and I believe that we can create AI for the good of the world," he said at the conference. "We simply need to be aware of the dangers, identify them, employ the best possible practice and management, and prepare for its consequences well in advance."

    A new study suggests some language learning can take place during sleep. Researchers from Switzerland's University of Bern say they discovered people were able to learn new language words during deep levels of sleep.

    Much of the earlier research found that memories made when awake were strengthened during sleep. This supported the idea that information learned while awake is replayed and deeply embedded in the sleeping brain.

    The researchers theorized that, if replay during sleep improves the storage of learned information while awake, the processing and storage of new information should also be possible during sleep.

    They carried out experiments on a group of young German­speaking men and women, which centered on periods of deep sleep called "up­states". They identified these slow­wave peaks as the best moments for sleep­learning.

    The researchers observed individuals in a controlled environment during brief periods of sleep. Brain activity was recorded as pairs of words were played for the study subjects. One word in the pair was a real German word. The other was a made­up foreign word. For later identification purposes, the German words chosen were things clearly larger or smaller than a shoebox.

    Each word pair was played four times, with the order of the words changed each time. The word pairs were played at a rhythm that is similar to actual brain activity during deep sleep. The goal was to create a lasting memory link between the false word and the German word that individuals could identify while awake.

    When the subjects woke, they were presented with the false language words­both by sight and sound. They were then asked to guess whether the false word played during sleep represented an object smaller or larger than a shoebox. Results of the study found that a majority of subjects gave more correct answers about the sleep­learned words than would be expected if they had only guessed at random.

    The researchers said they measured increased signals affecting a part of the brain known as the hippocampus. This brain structure is very important for building relational memory during non­sleep periods. The researchers also said memory was best for word pairs presented during slow­wave peaks during sleep.

    The study suggests that memory formation in sleep appears to be caused by the same brain structures that support vocabulary learning while awake. The researchers say more studies are needed to support their findings. However, the experiments do provide new evidence that memories can be formed and vocabulary learning can take place in both conscious and unconscious states.