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Correlation: Sitting Is Bad For Your Health And Exercise Won't Help

Advances in technology in recent decades have obviated the need and desire for humans to move....

It's About Calories, So Kimchi Is Not A Weight Loss Superfood - But You May Eat Less

Fermented foods have become popular in recent years, partly due to their perceived health benefits....

Beekeepers Are Wrong About Overwinter Hive Behavior

Honeybees in man-made hives may have been suffering the cold unnecessarily for over a century because...

Why Does Anyone Still Search For The Loch Ness Monster?

Hugh Gray was taking his usual post-church walk around Loch Ness in Scotland on a November Sunday...

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Clinical trials rely on statistics to show whether drugs are more effective than placebo pills. But how can we be certain?

How should scientists interpret their data?

Emerging from their labs after days, weeks, months, even years spent measuring and recording, how do researchers draw conclusions about the results of their experiments?

Since they were pioneered by Robert Hooke 350 years ago, microscopes have been extending our vision. In the 21st century, scanning electron microscopy (SEM) and confocal microscopy, which uses a pinhole to remove out-of-focus light and allows 3D structures to be built from multiple images, have pushed the boundaries of resolution.


When there’s a report in the news about the latest science on climate change, the source is very often the United Nations Intergovernmental Panel on Climate Change.

This body plays a very important role in global climate change policy around the world. Its reports, five of which have been published since 1990, enjoy a degree of credibility that renders them influential for public opinion. And more important, the reports are accepted as the definitive source by international negotiators working under the United Nations Framework Convention on Climate Change (UNFCCC).


By Temple Grandin, Professor of Animal Science at Colorado State University

When I was an awkward teenager who did not fit in with the other kids, the logical Mr. Spock was a character I could really identify with. At this time, I did not know why I related to Spock because when I was a teenager, I did not know that my thinking process was different from that of most other people. I assumed that my logical picture-based thinking was the way that everybody thought.

Amid all the dire warnings that machines run by artificial intelligence (AI) will one day take over from humans we need to think more about how we program them in the first place.

The technology may be too far off to seriously entertain these worries – for now – but much of the distrust surrounding AI arises from misunderstandings in what it means to say a machine is “thinking”.

One of the current aims of AI research is to design machines, algorithms, input/output processes or mathematical functions that can mimic human thinking as much as possible.

Have you ever wondered what it would be like to walk a mile (or 1.6 kilometers) in somebody else’s shoes?

Or have you ever tried to send a telepathic message to a partner in transit to “pick up milk on your way home”?

Recent advances in brain-computer interfaces are turning the science fantasy of transmitting thoughts directly from one brain to another into reality.