🗞 News of the day

🤖 AI Needs Sleep

Researchers propose that AI models should 'sleep' and 'dream' like humans to enhance learning and avoid catastrophic forgetting.

• AI Learning and Sleep: Scientists suggest that AI models programmed to 'sleep' and 'dream' can learn more effectively and prevent forgetting previously learned tasks. The Wake-Sleep Consolidated Learning (WSCL) strategy is a novel method to boost AI performance, particularly in visual classification tasks. AI models go through 'awake' phases for training and 'sleep' periods where they review images of what they've learned to reinforce memory.

• Catastrophic Forgetting: Catastrophic forgetting is a problem where AI models lose all prior knowledge when learning new tasks. Researchers found that allowing AI models to 'sleep' and 'dream' significantly improves their performance and helps avoid this issue. Implementing sleep and dream cycles into AI training could be a solution to this problem.

• Human Brain Inspiration: The WSCL strategy is inspired by the way the human brain consolidates memories during sleep. Just as humans form long-term memories in their sleep, AI models can better retain information after a 'rest' phase. This strategy, based on the Complementary Learning System theory, aims to improve AI by mimicking human brain processes.

🔖 Today's Cool Story

🚨 AI to Talk to Chicken

Scientists Create AI to Understand Chicken Language

In a cluckin' cool twist of science, researchers in Japan have developed an AI system that interprets chicken squawks. Using fancy math and machine learning, this tech can figure out if a chicken is hungry, scared, angry, or even excited. They tested this on recordings from 80 chickens, and it turns out, our feathered friends have a lot to say!

To crack the code of chicken chatter, the study involved a team of animal psychologists and veterinary surgeons. These experts worked together to analyze the patterns in chicken vocalizations, and with the help of AI, they achieved high accuracy in understanding the birds' mental states. This research could lead to better living conditions for chickens, making them happier cluckers.

Now, imagine this AI tech in zoos or farms, making animals everywhere a bit more understood. The researchers are optimistic about expanding this system to other animals and industries. Sure, it might not be a perfect fit for every breed right off the bat, but with more research, who knows? We might just be on the brink of a revolution in animal welfare. And yeah, as Professor Adrian David Cheok put it, "It's a cluckin' great leap for science!"

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