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This brain-inspired AI model can perceive moving scenes by simulating how neurons (神经元) make real-time sense of the world. While conventional AI excels at still image recognition, MovieNet is designed to understand complex, dynamic scenes, allowing it to recognize small changes over time.

To create MovieNet, Hollis Cline, senior author of the study, examined how animals' brains process real-world scenes. Specifically, he studied how tadpoles' (蝌蚪的) neurons respond to moving stimuli. Tadpoles' neurons process these visual inputs like solving puzzle pieces: each piece alone may not make sense, but together they form a complete image in motion. Different neurons process various "puzzle pieces" of a real-life moving image, which the brain then combines to form a continuous scene.

Using this understanding, the researchers trained MovieNet to process video clips by identifying small visual signals, allowing it to distinguish between small changes in scenes. In testing, MovieNet achieved 82.3% accuracy, outperforming trained human observers by 18% and doing much better than existing AI models.

Beyond its higher accuracy, MovieNet is more environment-friendly. Conventional AI requires vast amounts of data and energy, but MovieNet compresses (压缩) data like a zipped file, reducing environmental impact. "We've also made AI far less demanding," says Cline. MovieNet could also transform medicine. It might help detect early signs of diseases by tracking small movement changes that are difficult for human eyes to detect.

Looking ahead, the team plans to improve MovieNet's ability to adapt to different environments and enhance its potential applications. "By designing models that think like living organisms (有机体), we can achieve efficiency levels that aren't possible with traditional AI," says Cline, "Biology is a gold mine."

Now, in a landmark moment in cancer research, Cheng and research partners are launching the first international clinical trial for a botanical drug, YIV-906. Shwu-Hucy Liu, a postdoctoral researcher in Cheng's Yale lab, spent hours leafing through ancient Chinese texts at Yale's library seeking the properties of Chinese herbs. She returned with Huang Qin Tang, a 1,800-year-old treatment for stomach illnesses, based on which the team developed a drug and tested it on one thousand mice.

What followed were years of additional testing of the drug's effectiveness for a range of cancers in multiple human studies involving over 200 patients. The positive effects displayed again and again, YIV-906 not only reduced the side effects of radiation treatment, but also led to faster recovery and longer survival rates.

All they need now are larger data sets. When the results of the international trial are available about three years from now, YIV-906 may find itself next in a long line of breakthrough drugs developed from natural products, which includes a malaria (疟疾) treatment developed from the Chinese herb qinghao, the discovery of which led to a Nobel Prize for chemist Tu Youyou.

It has been a long journey, but if Cheng and his team are successful, it could create a new approach to treating cancer. They called the new approach "WE" medicine, a combination of Western medicine and Eastern medicine. "It's a totally new model. I've met with a lot of doubt, but think the results will speak for themselves," Cheng said.

Birthplace: Burlington, Vermont, United States

A faithful advocate of progressive education and liberalism, the American philosopher was the founder of the University of Chicago Laboratory Schools. John Dewey's famous writings included The Reflex Arc Concept in Psychology and Human Nature and Conduct. According to him, passion for knowledge and intellectual curiosity were central to a teacher.

Savitribai Phule

Birthplace: Naigaon, India

Savitribai Phule was a revolutionary social reformer who devoted her life to educating girls and bringing about gender (性别) equality in the face of resistance from the conservative Indian society. Phule, who was illiterate (文盲的) until her marriage, went on to become a teacher, an achievement accomplished first by an Indian woman. With her husband, she founded schools for girls in Maharashtra.

Maria Montessori

Birthplace: Chiaravalle, Italy

Maria Montessori was an Italian educator and physician best known for developing the Montessori method of education, a student-friendly method, which is being used in several public and private schools around the world. In 2020, she was nominated (提名) by Time magazine as one of their Top 100 Women of the Year.

Jean-Jacques Rousseau

Birthplace: Geneva, Switzerland

Jean-Jacques Rousseau was a Genevan philosopher, composer, and writer. His political philosophy influenced aspects of the French Revolution. He also helped develop modern economic, political, and educational thought. His writing inspired a complete change in French drama and poetry. His works also influenced such writers around the world as Tolstoy.

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A tall man in a top hat with bushy whiskers entered the Bank of England. After tricking a clerk to leave, the attacker soundly the cashier who had barely him. This incredibly straightforward alarmed all London. But the criminal vanished with all the money as if a grain of sand was swallowed by the sea.

Meanwhile at the Reform Club, Flanagan slapped down a while remarking that was "absolutely stunning." Phileas Fogg disagreed, in response.

When Stuarts insisted detectives would catch the robber, Fogg calmly said that the thief had already escaped and suggested he could reach Paris, Egypt, or even circle the globe in eighty days using modern transport. Flanagan laughed, challenging Fogg to attempt the himself for £1,000.

Fogg unfolded the possibilities mentally before raising the wager to £20,000 so that when he won, he would at least be. A sudden silence fell as Sullivan doubted whether Fogg had his senses. Flushing pink, Flanagan accepted the.

Fogg stood up, announcing he would return precisely eighty days later. With his top hat secured, he disappeared into the October night, leaving the men his mental state.