【推荐2】Snow fell on the mountain. It snowed and snowed. The snow did not melt (融化). It became deep and heavy. The snow on the bottom pressed (挤压) together, it became ice.

The ice was very wide and thick. It began to move down the mountain. It was like a river of ice. It was a glacier (冰河).

Sometimes the glacier moved extremely fast. Sometimes it moved only a few inches ( 英寸 ) each day. As it moved, it took rocks and dirt with it. It changed the land. In some places, it left hills. In some places, when the glacier melted, it made rivers and lakes.

A million years ago, there were many big glaciers. Glaciers covered many parts of the world. The glaciers changed the land.

Glaciers are still at work today. A glacier in the north of Canada is cutting a new path (路) down the side of a mountain. This glacier will change the land too.

【推荐1】ChatGPT Arrives

Have you ever wished that an AI could write something for you?     1     Well, ChatGPT may soon make that dream a reality.

ChatGPT is an AI technology developed by US-based OpenAI, a research company led by Sam Altman and backed by Microsoft. ChatGPT automatically generates text based on written prompts (提示性语言). It is often compared to AI chatbots of the past.     2    

Far from just a simple question-and-answer machine, ChatGPT can get creative.     3     It has the complete writing range of a real person!

Users posting their results on the Internet have used it to write history essays, write notes of presentations and even generate advice on how to interact with people at a party.

Surprisingly, the AI doesn’t use the internet to source material for its answers.     4    

ChatGPT comes along at a time when AI is becoming increasingly applicable to people’s lives to fulfill certain creative tasks. AI technology is showing that it can create creative material in a way that is difficult to distinguish from that made by humans. This creates many issues, such as the issue of copyright and the definition of art that have yet to be solved.

    5     We just need to remember that AI first and foremost extends and enhances what it means to be human, and in particular our problem-solving abilities.

【推荐2】There is a day in the life with AI, who follows your move: the way you travel, the food you eat, how you spend your money, the news you read and your social interactions...

Apple’s Face ID changes your face to a set of numbers that act as your own unique identifier. This biometric portrait is not set in stone-it uses AI to track changes in your appearance, updating its model if you grow a beard, change your makeup style or get older and it also detects whether your eyes are open and your attention is directed at your phone.

Cars such as the Tesla can do most of the ordinary aspects of driving. The vehicle’s AI system collects data from eight cameras, identifies obstacles, lanes, intersections and traffic lights and decides what action to take, whether moving skillfully into an awkward parking spot or overtaking a slow lorry. But self-driving cars know only how to deal with situations they have seen before and an ongoing challenge is how to equip them for rare and unexpected events.

Last year, about one in five households in the UK reported having an AI-based home security system. Amazon Ring uses a motion-activated camera, heat sensor and radar and uses computer vision software to make users different when a person, or a package, is outside their property. Humans have a heavy heat signature and with the radar, the object moving in 3D spaces can be detected.

As you read news articles, scroll through social media, make Google searches and buy things online, you leave a trail of clues about who you are, what you might want to spend your money on-that is incredibly valuable for digital advertisers. AI sift (筛) this data for insights into your age, gender, lifestyle, income and your hobbies. This allows companies such as Google to serve up specific, targeted adverts that pop up as you scroll through a news article.

【推荐3】Each spring, scientists hide more than 1,600 lunchbox-size recorders across the forests of the Sierra Nevada range in the western U. S.

Until they’re taken back at summer’s end, these recorders record a million hours of audio (音频), which often contains the hoots, barks, and whistles of the California spotted owl — valuable information about where the endangered species spends its time. But it’s a lot of recordings for a human to go through. “There’s no way we can listen to that — not even close,” says Connor Wood, a researcher who co-leads the owl project at the K. Lisa Yang Center for Conservation Bioacoustics, part of the Cornell Lab of Ornithology in Ithaca, New York.

It turns out that this team actually can process this huge amount of data — they just need a little help from BirdNET, an AI-powered system launched in 2018 that can identify more than 6,000 species of birds, including the migration (迁徙) birds, across the globe just by their call.

“We need tools that are really flexible and capable of identifying as many acoustically (听觉上) active animals as possible,” says Wood, whose lab developed BirdNET with the Chemnitz University of Technology in Germany. “I cannot stress enough the significant influence BirdNET has brought to bird research.”

Two years later, the team launched the official BirdNET app, which allows people across the world to upload their own recordings from laptops or smartphones. Since then, BirdNET has gathered roughly 150 million high-quality bird sounds. With funding from the U. S. Forest Service and National Park Service, Wood and his team recently used BirdNET to create the first ecosystem-wide assessment of spotted owl populations across the Sierra Nevada, which increasingly face threats from enemy species or wildfires.

However, like most AI-based technology, these apps are not without drawbacks. In his recent study, ecologist Cristian Pérez-Granados, who works at the University of Alicante in Spain, reviewed a range of scientific literature on BirdNET. His research found that BirdNET didn’t always register a bird’s song, and sometimes misidentified it as another species, which results in “false positives”.