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University of Tokyo unveiled self-healing skin for robots

PLUS: AI designs futuristic vehicles

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Good morning, human brains, and welcome back to your daily munch of AI news.

Here’s what’s on the menu today:

  • Japanese robots with lab-grown skin? 🤖 🧴

    University of Tokyo unveiled perforation-type anchors.

  • AI designs futuristic vehicles 🚀 🔥

    Sedans, trucks, roadsters, and more.

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MAIN COURSE

Robots with living, human skin? 🤖 🧴

Last Tuesday, University of Tokyo researchers developed perforation-type anchors. It allows you to add self-healing skin to robots.

Bot’s skin is pore-ly behaved. 🤖

What are perforation-type anchors?

They’re holes filled with a collagen gel full of living cells. This goes on top of the robot and is then treated with a plasma treatment.

"We've recreated how human skin sticks to and moves with our bodies, but for robots. This creates a more natural, flexible covering that can handle complex robot movements."

— Dr. Shoji Takeuchi, University of Tokyo

Creepy. What’s the point?

It allows robots to have smooth outer surfaces, move more naturally, repair themselves, and more.

It’s slime in a dish. How does that look like a human?

They also covered a robot’s face with this skin. It can smile, mimic human facial movements, and more.

So all robots will have skin now?

Nah. This version of skin lacks sweat glands, hair, and more. Researchers will need to further develop it before it has practical uses. They also shared plans to create synthetic muscle tissue for mechanical robots.

What’s a dermatologist’s favorite holiday? Blackhead Friday. 😬🩸

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YOUR DAILY MUNCH

Think Pieces 🧠

ETH Zurich researchers developed the fastest network flow algorithm. It allows computations that scale with network size, solving 90-year-old problems.

Startup News 💰

MIT robotics pioneer says AI is overhyped and can't match human versatility. Rodney Brooks claims solving AI's challenges will take decades.

Research 👨‍🔬

AutoRAG-HP — a system that automatically tunes hyper-parameters for Retrieval-Augmented Generation models using a multi-armed bandit approach.

Can LLMs Learn By Teaching — introduces Learning by Teaching (LbT) for LLMs, which involves observing student feedback, learning from it, and more

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