Art Contest— Technology &You!
Technology is everywhere these days. Automation has pioneered innovation. Your phone is probably in your pocket or your hands at all times, and now it's easier than ever to communicate with anyone in the world. What are your thoughts on technology, social media or your phone? Do you feel excitement every time you get a notification message, or do you feel tied down by these digital "chains"?
However you feel, we want you to put that into artwork-paintings, digital art or photography. One winner and several honorable mentions will be featured in the December 2024 magazine, and the winner will receive a $25 gift card! You may even see your art work in future issues of Teen Ink magazine.
Deadline: Nov. 1, 2024
Details and requirements:
Entrants must have a Teen Ink account and be aged 13～19.
Inappropriate content will not be accepted.
Submissions must relate to the topic (technology).
Entries must be a piece of artwork created by the entrants themselves.
Entrants can submit as many pieces of art as they wish.
How to submit:
Entries can be submitted through the Teen Ink website. All entries submitted will be reviewed and considered for the contest. See our submission guidelines for more information.
Make sure to submit your art work to the appropriate art category(technology) on Teen Ink. You can do this by using the "additional tags (标签)" field in your submission form.
During my graduate studies, countless workshops taught me one thing: To make it in science, one must design and carry out big projects. As I established my own research lab, a senior colleague encouraged me to try something big. So when I landed an associate professor position, my goal seemed obvious: I should perform big projects. This was the only way to lay a foundation for a successful academic research career. The path, however, would not be as clear as I had pictured.
When I contacted famous researchers to suggest cooperating, as is typically required for high-profile projects, they frequently replied enthusiastically to start, agreeing my project sounded interesting and promising. But when they learned I had just established my lab, they became skeptical and hesitant, ultimately saying no. And when I sought grant funding, my lack of experience and reputation was cited as a reason to deny support for my ambitious proposals.
I spent about two years being stuck in this mindset, excited about my big ideas but making little actual progress, leading to frustration and depression. As I neared my breaking point, I began to ask myself: were big projects really the only route?
When I shifted to small projects, I became brave enough to step into fields I was not familiar with. By reading papers in new areas, I found creative ideas to pursue. When I discussed these adventurous, low-cost projects with early-career researchers, they were glad to cooperate. We secured funding. When I published papers out of these projects, they were not exciting enough to make headlines — but for me, it was a moment of joy and self-contentment.
It has now been 3 years since I embraced this "small" approach. Sometimes senior colleagues say I'm wasting time with projects that aren't important enough. But I disagree. When I do these studies, I also find clues for future big projects. Going forward, I will still commit part of my time to exploring small projects, which I think can help pursue more fundamental questions
Alexis was a student, the only son of his wealthy parents, and felt entitled to the luxuries he had in his life. On a class field trip, Alexis met the forester, Justin, who had been living in a wooden house in the forest over ten years. When learning Justin's life, Alexis laughed at him with his friends.
During the field trip, Alexis and his classmates passed by an entrance to a cave. "This looks so cool!" Alexis exclaimed. He wanted to go inside the cave, but his teacher stopped him.
The next day, Alexis reached the cave with his four friends, only to find they couldn't take their schoolbags through the entrance. One by one, the teenagers entered the cave and were amazed to see how wide it was from the inside. Albert picked a large stone up and hit one of the walls with it. "This place is so cool!" he laughed quietly before the rocks from the wall came falling.
"Watch out, Albert!" Alexis said and pulled Albert towards himself. The teenagers screamed in fear when they saw the rocks fall. They couldn't see anything because of the dust floating in the air.
The friends were scared when they realized they were trapped in the cave. "HELP! WE ARE STUCK!" the teenagers started screaming for help, hoping someone would hear them.
Fate sent Justin to the cave. The forester picked berries every day from the trees near the cave. While he was walking back to his house, five bright-colored schoolbags caught his attention. Then he approached the cave and shouted, "Hey! Who's in there?"
"I'm Alexis ! I came here yesterday with my teacher! Help us, please! We are stuck!"
"Okay, calm down, children! I'll help you out!" Justin said.
Justin quickly called 911 and informed them about the kids in the cave. Thinking the paramedics (护理人员) would take at least twenty minutes to arrive, he decided to help the kids himself before it was too late. Justin quickly grabbed a shovel and a flashlight and rushed back to the cave's entrance. Meanwhile, Alexis and his friends tried to stay calm. A few minutes later, Alexis and his friends could see the flashlight shine through the cave's entrance. Seconds later, they rushed outside the cave and took a deep breath in the fresh air.
Just then, the paramedics arrived.
When people hear "artificial intelligence," many envision "big data. " There's a reason for that: some of the most important AI breakthroughs in the past decade have relied on enormous data sets. But AI is not only about large data sets, and research in "small data" approaches has grown extensively over the past decade—with so-called transfer learning as an especially promising example. Also known as "fine-tuning," transfer learning is helpful in settings where you have little data on the task of interest but abundant data on a related problem. The way it works is that you first train a model using a big data set and then retrain slightly using a smaller data set related to your specific problem.
Research in transfer learning approaches has grown impressively over the past 10 years. In a new report for Georgetown University's Center for Security and Emerging Technology (CSET), we examined current and projected progress in scientific research across "small data" approaches. Our analysis found that transfer learning stands out as a category that has experienced the most consistent and highest research growth on average since 2010. This growth has even outpaced the larger and more established field of reinforcement learning, which in recent years has attracted widespread attention.
Small data approaches such as transfer learning offer numerous advantages over more data-intensive methods. By enabling the use of AI with less data, they can bolster progress in areas where little or no data exist, such as in forecasting natural disasters that occur relatively rarely or in predicting the risk of disease for a population set that does not have digital health records.
Another way of thinking about the value of transfer learning is in terms of generalization. A recurring challenge in the use of AI is that models need to "generalize" beyond their training data. Because transfer learning models work by transferring knowledge from one task to another, they are very helpful in improving generalization in the new task, even if only limited data were available.
Moreover, by using pretrained models, transfer learning can speed up training time and could also reduce the amount of computational resources needed to train algorithms (算法). This efficiency is significant, considering that the process of training one large neural (神经系统的) network requires considerable energy.
Despite the growth in research, transfer learning has received relatively little visibility. The existence of techniques such as transfer learning does not seem to have reached the awareness of the broader space of policy makers and business leaders in positions of making important decisions about AI funding and adoption. By acknowledging the success of small data techniques like transfer learning—and distributing resources to support their widespread use—we can help overcome some of the common misconceptions regarding the role of data in AI and facilitate innovation in new directions.
Literature is not practical, especially the classic literary works. They are old, and simply relics of time. Certainly they will not help us find a better job or guide us to make more money in the future. But why should we learn it?
Our ancient master Confucius said that a superior man should not be a practical utensil. We read not to make money but to be a better person.
Literature is the record of human history. All human experience in history has been recorded in literature. The sweetest love, the most heartbroken betrayal, the cruelest war, the hardest struggle, the joyful laughter and the miserable cry, the most precious friendship and the most fierce hatred. Reading it makes us a full man.
Literature can make us wise, since we may take good lessons from it. Reading a good book is like talking to a wise man, let alone the great joy that a book may bring to us in loneliness.
Even if you deny these two purposes, how many of you have cited about beautiful love poems in dating?
When standing in front of the shelves of books in English literature, which are the most valuable ones we should digest? Firstly, we need to know who the most important writers are and what their important literary works are. Finally, we need to learn to form our own literary taste, to know what a good literary work is like and what an ordinary one might be. We shall learn to appreciate the literariness of it, the beauty of the language, the wit in the structure, the inspiration of the story and etc.
A. Literature brings us delight.
B. None that you can't find in literature.
C. It seems that literature has no use at all.
D. Reading literature can serve several purposes.
E. Entering the world of literature is like walking into a library.
F. In addition, we should ask which ones we can simply taste or swallow.
G. Secondly, we need to know how the literary works reflect society and the culture.
In moments of danger, superheroes don't 1 , they leap into action. And so does the little boy when his baby sister's life depends on it.
When 8-year-old Jaxson Dempsey realized his 20-month-old sister Lelia was2 on a chicken nugget (鸡块), he didn't3 . Instead, he calmly directed his dad to 4 the car they were driving in and went on to5 the obstruction (障碍物) from Lelia's airway.
Jaxson said he'd learned the6 technique from watching superstar John Cena perform the movement on a show.
Jaxson's father Matt has nothing but 7 for his son, whose quick thinking8 a potential tragedy. "I couldn't hear her because she was choking. 9 , she wasn't breathing. Thank God Jaxson was there because, without him, I don't know if Lelia would be here. "
While10 were the last thing on Jaxon's mind for doing what came11 when his sister needed him, they've been rolling in nonetheless ever since.
The first big "Well done!" came from none other than John Cena himself, who sent a personal message via video after learning of the boy's12 . "I heard a story about you, and it really13 my heart," Cena said.
Cena's recognition was high praise indeed, but the awards didn't14 there. On March 31, Jaxson's hometown welcomed him with his very own march in 15 of a little hero who turned out to be the best big brother a little sister could have.
Tang suit often refers to a type of Chinese jackets. The word of Tang suit was created by the overseas Chinese people.
Tang suit has two (vary) in Chinese culture, which are (striking) different from each other in style. One refers to the real Tang-era clothes developing from Hanfu, (give) a free and easy and elegant impression; other refers to the Manchu male's jacket developing from magua of the Qing Dynasty, and it is made by absorbing a Western-style suit cutting method, A typical design of a Tang suit employs the Chinese characters, such as Fu and Shou (express) good fortune and best wishes, is extremely popular among the Chinese people.
Tang suit (have) a great influence on the clothing styles of other countries up till now. The Japanese kimono (和服) is made the basis of pao of the Tang Dynasty, and it has become the national clothing of Japan. As an essential part of (tradition) Chinese culture, Tang suits (wear) by overseas Chinese people during the Spring Festival each year, appealing to many foreigners to wear then, More and more young Chinese people are inclined to wear Tang suits instead of Western-style suits and dresses on their big days.
When Jackie came to his first piano lesson in his mother's car, he was already 11 years old. I preferred that students began at an earlier age, but owing to his insistence, I took him as a student. As much as Jackie tried, he lacked the sense of basic rhythm (节奏). At the end of each lesson, he'd say, "My mom's going to hear me play someday. " But it seemed hopeless. I only knew his mother from a distance as she waited in her aged car, but never stepped in.
Then one day Jackie stopped coming to our lessons. I thought about calling him but assumed (认为), because of his lack of ability, that he had decided to quit. I also was glad that he stopped coming—he was a bad advertisement for my teaching!
Several weeks later I mailed a letter on the upcoming concert to the students' homes. Surprisingly, Jackie received and asked me if he could be in the concert. I told him that the concert was not for dropouts (辍学者), but for current pupils. He said that his mom had been sick and unable to take him to piano lessons but he was still practicing. I didn't know what led me to agree eventually.
The night for the concert came. The high school gymnasium was packed with parents and friends. I put up Jackie last in the program. I thought that any damage he would do would come at the end of the program and the negative effect would be reduced to the minimum (最小值).
The concert went off smoothly. Then Jackie came up on stage. His clothes were wrinkled (皱巴巴的) and his hair looked messy (凌乱的). "Why didn't his mother at least make him comb his hair for this special night?" I thought.
注意：续写词数应为150左右。
Paragraph 1:
Unexpectedly, Jackie chose Mozart's Piano Concerto No.21 in C Major.
Paragraph 2:
Immediately I ran up on stage and held Jackie firmly in great joy, asking "How did you do it?"
