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In a recent study published in Nature Communications, researchers developed a modular synthetic biology toolkit for Aspergillus oryzae, an edible fungus used in fermented foods, protein production, and meat alternatives.

Study: Edible mycelium bioengineered for enhanced nutritional value and sensory appeal using a modular synthetic biology toolkit. Image Credit: Rattiya Thongdumhyu/Shutterstock.com.

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Life is incredibly complicated, but for most of Earth’s history it was much simpler. Is it possible the Universe is full of planets with very simple life, and complex organisms are rare?

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Credits:
The Fermi Paradox: Rare Complexity.
Episode 439; March 21, 2024
Produced, Written \& Narrated by: Isaac Arthur.
Editor: Darius Said.

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Words are important to express ourselves. What we don’t say, however, may be even more instrumental in conveying emotions. Humans can often tell how people around them feel through non-verbal cues embedded in our voice.

Now, researchers in Germany have sought to find out if technical tools, too, can accurately predict emotional undertones in fragments of voice recordings. To do so, they compared three ML models’ accuracy to recognize diverse emotions in audio excepts. Their results were published in Frontiers in Psychology.

“Here we show that can be used to recognize emotions from audio clips as short as 1.5 seconds,” said the article’s first author Hannes Diemerling, a researcher at the Center for Lifespan Psychology at the Max Planck Institute for Human Development. “Our models achieved an accuracy similar to humans when categorizing meaningless sentences with emotional coloring spoken by actors.”