Computers have beaten human world champions at chess and, earlier this year, the board game Go. So far, though, they have struggled at the card table. So we challenged one AI to a game.

    Why is poker(扑克) so difficult? Chess and Go are “information complete” games where all players can see all the relevant information. In poker, other players' cards are hidden, making it an “information incomplete” game. Players have to guess opponents' hands from their actions—tricky for computers. Poker has become a new benchmark for AI research. Solving poker could lead to many breakthroughs, from cyber security to driverless cars.

    Scientists believe it is only a matter of time before AI once again vanquishes humans, hence our human-machine match comes up in a game of Texas Hold's Em Limit Poker. The AI was developed by Johannes Heinrich, researcher studying machine learning at UCL. It combines two techniques: neural(神经的) networks and reinforcement learning(强化学习).

    Neural networks, to some degree, copy the structure of human brains: their processors are highly interconnected and work at the same time to solve problems. They are good at spotting patterns in huge amounts of data. Reinforcement learning is when a machine, given a task, carries it out, learning from mistakes it makes. In this case, it means playing poker against itself billions of times to get better.

    Mr Heinrich told Sky News: “Today we are presenting a new procedure that has learned in a different way, more similar to how humans learn. In particular, it is able to learn abstract patterns, represented by its neural network, which allow it to deal with new and unseen situations.”

    After two hours of quite defensive play, from the computer at least, we called it a draw.

    If you could have one superpower, What would it be ?

    Dreaming about whether you would want to read minds , see through walls , or have superhuman strength may sound silly , but it actually gets to the heart of what really matters in your life 1

    Every day in our work , we are inspired by the people we meet doing extraordinary things to improve the world.

    They have a different kind of superpower that all of us possess : the power to make a difference in the lives of others .

    We're not saying that everyone needs to contribute their lives to the poor . Your lives are busy enough doing homework , playing sports , making friends , seeking after your dreams . But we do think that you can live a more powerful life when you devote some of your time and energy to something much larger than yourself . Find an issue you are interested in and learn more . Volunteer or , if you can , contribute a little money to a cause . Whatever you do , don't be a bystander . Get involved . You may have the opportunity to make your biggest difference when you're older . But why not start now ?

    Our own experience working together on health , development , and energy the last twenty years has been one of the most rewarding parts of our lives . It has changed who we are and continues to fuel our optimism about how much the lives of the poorest people will improve in the years ahead .

Your Teen Is Falling Asleep in Class

    Teens have a busy morning schedule as they need to wake up and get moving very early in order to catch a bus and get to school by the required time. This means teens need to get their rest the night before or they will be too tired to learn anything at school. {#blank#}1{#/blank#}

    When a teen falls asleep in class, two things happen: he/she misses what is being taught and he/she loses the respect of the teacher. He/She may also receive a consequence from the school, depending on the classroom discipline policy. {#blank#}2{#/blank#}

    To prevent your teen from being sleepy in class, try these three tips：

    *Set a time for “lights out” on school nights. This is never any later than 10 p.m. and preferably 9 p.m. {#blank#}3{#/blank#} Soft music can be on and used to help calm your teen.

    *Help your teen develop a nighttime routine that involves activities that slow them down for the end of the day. {#blank#}4{#/blank#} Turning off the computer and disconnecting from friends and the excitement of the day an hour before bedtime will also help your teen relax.

    * {#blank#}5{#/blank#} This will reinforce (增强) what it feels like to be rested and capable of accomplishing what he/she wants.

A．What's worse, they may even fall asleep in class.

B．Set a good example and show him/her your love for learning.

C．Taking a bath and reading are two activities that work well.

D．Point out the positives after your teen has had a good night's rest.

E．All of these things affect your teen's academic success and can be avoided.

F．“Lights out” means the computer, television, lights and cell phone should be off.

G．While your teen keeps his/her goals in line with your expectations, he/she may have his/her own goals.

    There were smiling children all the way. Clearly they knew at what time the train passed their homes and they made it their business to stand along the railway, wave to complete strangers and cheer them up as they rushed towards Penang. Often whole families stood outside their homes and waved and smiled as if those on the trains were their favorite relatives. This is the simple village people of Malaysia. I was moved.

    I had always traveled to Malaysia by plane or car, so this was the first time I was on a train. I did not particularly relish the long train journey and had brought along a dozen magazines to read and reread. I looked about the train. There was not one familiar face. I sighed and sat down to read my Economics.

    It was not long before the train was across the Causeway and in Malaysia. Johore Baru was just another city like Singapore, so I was tired of looking at the crowds of people as they hurried past. As we went beyond the city, I watched the straight rows of rubber trees and miles and miles of green. Then the first village came into sight. Immediately I came alive; I decided to wave back.

    From then on my journey became interesting. I threw my magazines into the waste basket and decided to join in Malaysian life. Then everything came alive. The mountains seemed to speak to me. Even the trees were smiling. I stared at everything as if I was looking at it for the first time.

    The day passed fast and I even forgot to have my lunch until I felt hungry. I looked at my watch and was surprised that it was 3:00 pm. Soon the train pulled up at Butterworth. I looked at the people all around me. They all looked beautiful. When my uncle arrived with a smile, I threw my arms around him to give him a warm hug (拥抱). I had never done this before. He seemed surprised and then his weather-beaten face warmed up with a huge smile. We walked arm in arm to his car.

    I looked forward to the return journey.

    Physics is a different world now. Will there ever be another Einstein?

    Scientists say a new Einstein will appear, but it may take a long time. After all, more than 200 years separated Einstein from his nearest rival (对手) , Isaac Newton. Many physicists say the next Einstein hasn't been born yet, or is only a baby now. That's because the searching for a unified(统一的) theory that would explain all the forces of nature has pushed current mathematics to its limits. New math must be created before the problem can be solved.

    But researchers say there are many other factors working against another Einstein appearing anytime soon. For one thing, physics is quite a different field today. In Einstein's day, there were a few thousand physicists worldwide, and fewer theoreticians. Education is different, too. One extremely important aspect of Einstein's training that failed to be considered is the philosophy he read as a teenager. It taught him how to think theoretically about space and time.

    And he was a skilled musician. The interplay between music and math is well known. Einstein would fiercely play his violin as a way to think through a knotty physics problem.

    Today, universities have produced millions of physicists. There aren't many jobs in science for them, so they go to Wall Street and Silicon Valley to apply their analytical skills to more practical and rewarding efforts.

    Besides, those who stay in science don't work alone. It's very difficult to imagine an independent person like Einstein ever tolerating this.

Tests have shown robots can diagnose heart problems in as little as four seconds, as a review of artificial intelligence (AI) finds machines are now as good at spotting illness as doctors.

Analyzing a patient's heart function on a cardiac MRI (心脏磁共振成像) scan currently takes doctors around 13 minutes. But a new trial by University College London (UCL) showed an AI program could read the scans in less time with equal accuracy. There are approximately 150,000 such scans performed in the UK each year, and researchers estimate that fully using AI to read them could save 54 clinician-days (临床天数) at each cardiac centre per year. So it can make up for the shortage of doctors.

It is hoped that AI where computer systems are able to learn from data to identify new patterns with minimal human intervention will transform medicine by helping doctors spot diseases such as heart disease and cancer faster and earlier. However, most scans are still read by specially trained doctors.

Dr Charlotte Manisty, who led the UCL research, said, "Cardiovascular MRI offers in- comparable image quality for assessing heart structure and function. However, current manual analysis remains basic and outdated. Automated machine techniques offer the potential to change this and completely improve efficiency and accuracy, and we look forward to further research that could confirm the superiority to human analysis."

She added, "Our dataset of patients with a range of heart disease who received scans enabled us to demonstrate that the greatest sources of measurement errors arise from human factors. This indicates that automated techniques are at least as good as humans, with the potential soon to be 'super-human'—transforming clinical and research measurement precision."

Professor Alastair Denniston said, "Within those handful of high-quality studies, we found that by deep learning AI could indeed detect disease ranging from cancer to eye disease as accurately as health professionals. But it's important to note that it did not absolutely exceed human professional diagnosis. "