Category Technology/Electronics

Engineers develop hybrid robot that balances strength and flexibility—and can screw in a lightbulb

Northeastern engineers develop hybrid robot that balances strength and flexibility — and can screw in a lightbulb
Jeffrey Lipton, assistant professor of mechanical and industrial engineering at Northeastern, has developed a hybrid soft and hard robot. Credit: Matthew Modoono/Northeastern University

How many robots does it take to screw in a lightbulb? The answer is more complicated than you might think. New research from Northeastern University upends the riddle by making a robot that is both flexible and sensitive enough to handle the lightbulb, and strong enough to apply the necessary torque.

“What we found is that by thinking about the bodies of robots and how we can make new materials for them, we can actually make a robot that has the benefits of both rigid and soft robots,” says Jeffrey Lipton, assistant professor of mechanical and industrial engineering at Northeastern.

“It’s flexible...

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Next-generation AI hardware: 3D photonic-electronic platform boosts efficiency and bandwidth

New study showcases 3D photonics with record performance for AI
3D photonic chip module. Credit: Keren Bergman

Artificial intelligence (AI) systems promise transformative advancements, yet their growth has been limited by energy inefficiencies and bottlenecks in data transfer. Researchers at Columbia Engineering have unveiled a groundbreaking solution: a 3D photonic-electronic platform that achieves unprecedented energy efficiency and bandwidth density, paving the way for next-generation AI hardware.

The study, “3D Photonics for Ultra-Low Energy, High Bandwidth-Density Chip Data Links,” led by Keren Bergman, Charles Batchelor Professor of Electrical Engineering, is published in Nature Photonics.

The research details a pioneering method that integrates photonics with advanced complementary-metal- oxide-semiconductor (CMOS) electronics to redef...

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Novel memristors to overcome AI’s ‘catastrophic forgetting’

Novel memristors to overcome AI's
Schematic illustration of the novel memristive device. Credit: Nature Communications (2025). DOI: 10.1038/s41467-025-57543-w

So-called “memristors” consume extremely little power and behave similarly to brain cells. Researchers from Jülich, led by Ilia Valov, have now introduced novel memristive components that offer significant advantages over previous versions: they are more robust, function across a wider voltage range, and can operate in both analog and digital modes. These properties could help address the problem of “catastrophic forgetting,” where artificial neural networks abruptly forget previously learned information.

The problem of catastrophic forgetting occurs when deep neural networks are trained for a new task...

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World’s first quantum microsatellite demonstrates secure communication with multiple ground stations

Schematic diagram of the quantum key distribution experiment between the quantum microsatellite Jinan-1 and ground stations. (Image from USTC)

A research team has developed the world’s first quantum microsatellite and demonstrated real-time quantum key distribution (QKD) between the satellite and multiple compact, mobile ground stations.

The research, led by Pan Jianwei, Peng Chengzhi, and Liao Shengkai from USTC, jointly with the Jinan Institute of Quantum Technology, Shanghai Institute of Technical Physics, the Innovation Academy for Microsatellites of the Chinese Academy of Sciences, and Stellenbosch University of South Africa, is published in Nature.

Quantum secure communication is fundamental to national information security and socioeconomic development...

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