The world becomes a better place when we not only recognize that everyone has bad days, but when we also care enough to act accordingly. No matter what kind of bad experience we experience, we should treat it actively. Fourth grade teacher Rachel Harder recognized this, and she found an amazing way to help out both her students and their families.

A few years ago, the Kansas teacher attended a trauma (心理创伤) conference. She learned that some police stations partner with schools so they can let teachers know when one of their students has a police encounter, something that could cause them to need extra care or attention. A year after the conference, Rachel had a student with autism (自闭症) who frequently had tough days. To support the student, Rachel told his mom to simply text her "handle with care" to let her know when it was going to be one of those days.

The simple method was such a success that Rachel decided to send all her students home with a note for their parents. It explained what the "Handle with Care" system was and how they could take advantage of it. In no time, parents began to show their appreciation for Rachel's incredible act of kindness. But Rachel's sympathy didn't end with her class. Word spread of the amazing system, and teachers across the country began giving it a shot in their own classrooms. Printouts can be found on the Smart School House website, and the feedback has been extremely positive!

Even though teachers can sometimes tell when a student is having a tough day just by the way they're acting, Rachel said these simple texts allow educators to make minor adjustments in advance that, in turn, make the whole day better for everyone. "It's important for me to give kids a few minutes of extra time or space," she said, "and it's easy to give."

One of the world's greenest office buildings will formally open its doors this week. It's a project of the environmentally progressive Bullitt Foundation. Its ambition is bold: to showcase an entirely self-sustaining office building hoping that others will create similar projects.

The first thing that strikes you about the new Bullitt Center is an emphasis on walking. "In a building this size, any place else in Seattle it would have two elevators. Here, the stairway is obvious and attractive,"says Denis Hayes, CEO of the foundation. He explains there is an elevator, but it's well-hidden. The staircase encourages exercise and the concept helps cut down on energy use.

This is one of dozens of visionary decisions that went into this building. "It has eyes, ears, a nervous system and a brain and it responds to its environment in a way that seeks to optimize （优化） things," he says. He points across the street to a mini weather station. It sends data to the building so it can decide what it should do to conserve energy.

"I think it's fair to say we were all a bit skeptical in the beginning, "says Chris Rogers, the founder of a firm in cooperation with the foundation. Rogers and the others set out to meet the ambitious goals of the Living Building Challenge, a green building standard set by local architects.

Clearly this building is not for everyone. If you think of it as simply an office building, it was relatively pricey to design and build. But if you view it as a laboratory, an educational center and a bold effort to change how things are built, the calculation changes.

Still, one could wonder, is it possible to build more with similar self-sustaining features at a reasonable cost? "If this building isn't reproducible, then this experiment will have failed, says Rogers. But if it is successful, he's optimistic others will follow the foundation's lead. Rogers points out that over the past couple of decades, many builders have been integrating green elements into their buildings.

Deepfake: synthetic (合成的) media, including images, videos, and audio, is generated by Al technology to show something that does not exist or events that have never occurred.

Examples of deepfakes have been widely spread, including a video of Facebook CEO Mark Zuckerberg giving a speech about his company's plan, and a video of Elon Musk dancing and talking about the power of dreams, etc.

It's easy for AI to produce such deepfakes using two different deep-learning algorithms (算法): one that creates the best possible clone based on a real image or video and another that detects whether the copy is fake (伪造的) and, if it is, reports on the differences between it and the original. The first algorithm produces a synthetic image and receives feedback on it from the second algorithm and then adjusts it to make it appear more real; the loop is repeated as many times as it takes until the second algorithm does not detect any false imagery.

Deepfakers often have evil motives, including creating misinformation and generating confusion. They tend to demean, terrify, and annoy, and have targeted not only celebrities but ordinary citizens as well.

Most of the academic research surrounding deepfakes focuses on the detection of huge amount of deepfake videos emerging online. One detection approach is to use algorithms to identify inconsistencies in deepfake videos. For example, an automatic system can examine videos for errors such as irregular blinking patterns of lighting. However, these approaches have been criticized because deepfake detection is characterized by a "moving goal post" where the production of deepfakes is changing and improving while detection tools are always on the way of catching them up.

However, education and medicine are two of the fields that may benefit from deepfake technology. In the classroom, historical speeches could be deepfaked to offer immersive and engaging lessons. In health care, it can improve the accuracy with which tumors (肿瘤) are spotted, making them easier to treat. Its use also permits using synthesized data instead of that from real patients to avoid privacy concerns.