TopNewsOn

Results for “general strike”

What is science? Even scientists can't agree

Scientists spend their careers trying to understand the world, but a new study suggests they have surprisingly different ideas about what science itself is. The study, published in Royal Society Open Science, found that scientists disagree about the meaning and purpose of science even more than the general public does. Of the 18 descriptions of science examined, few received unqualified endorsement from scientists, who often expressed reservations even about ideas they generally agreed with.

Phys.org · 1h ago
When Einstein's gravitational waves meet Newton's tides

Newton's theory of gravity has described the tides accurately for centuries. But could a tiny trace of Einstein's general relativity also be hidden in them? In a new study, a mathematician at Freie Universität Berlin has outlined how a targeted approach could be used to search for effects of this nature.

Phys.org · Nov 5
Researchers develop sensors for continuous corn growth monitoring

When is the best time to apply nitrogen? What plant response was there to fertilizer or any number of other treatments? There is a general answer to those questions now, but what if plant breeders and agronomists could download data from continuously monitored cornstalks and ears to develop specific answers for those questions?

Phys.org · Nov 4
One in 15 adults has experienced AI-generated image-based abuse, study finds

Around one in 15 adults has experienced AI-generated image-based abuse, according to a new study. The general-population survey of more than 7,200 adults in the United States, the United Kingdom and Australia found 7% had experienced at least one form of AI-generated image-based abuse since turning 18.

Phys.org · Nov 4
Can AI really predict cancer survival better than a doctor? I have my doubts | Devi Sridhar

Take a selfie to see how healthy you are: the idea is enticing and this new research is promising. But so many factors have been ignored The idea that a single selfie could predict how long someone with cancer may live sounds like an incredible breakthrough. AI is getting better at spotting patterns in medical data, but can it be used to reliably predict what will happen to an individual patient? I asked a clinical colleague what she thought about the recent headlines . She found it an interesting development given that doctors have long used facial appearance to assess patient health. For example, she noted that they may write “appears stated age” or “appears older than stated age” as a proxy for general health. Now, researchers from Mass General Brigham, a healthcare institution in Massachusetts, have taken this idea a step further. They have developed an AI model trained on more than 40 million facial images – called FAHR-Face – to assess biological age and predict survival in cancer patients. For biological age, they developed FAHR-FaceAge, which estimates age from certain facial features such as the forehead, the wrinkles between the nose and mouth and the temples. For cancer survival, they developed FAHR-FaceSurvival, trained using almost 35,000 photos of cancer patients. This model focused more closely on the area below the eyes and the bridge of the nose – regions of the face “ linked with dying ”. Dr Raymond Mak , one of the study’s authors, noted that these parts of the face are the same as those referenced by Hippocrates in 400BC as signs of muscle wasting and mortality risk: “the nose sharp, the eyes sunken, the temples fallen in”. Prof Devi Sridhar is chair of global public health at the University of Edinburgh Continue reading...

The Guardian · Oct 23