Category Technology/Electronics

How tiny drones inspired by bats could save lives in dark and stormy conditions

How tiny drones inspired by bats could save lives in dark and stormy conditions
Colin Balfour, a sophomore studying robotics engineering, flies a small drone at a laboratory at the Worcester Polytechnic Institute, Monday, Oct. 20, 2025, in Worcester, Mass. Credit: AP Photo/Charles Krupa

Don’t be fooled by the fog machine, spooky lights and fake bats: the robotics lab at Worcester Polytechnic Institute lab isn’t hosting a Halloween party.

Instead, it’s a testing ground for tiny drones that can be deployed in search and rescue missions even in dark, smoky or stormy conditions.

“We all know that when there’s an earthquake or a tsunami, the first thing that goes down is power lines. A lot of times, it’s at night, and you’re not going to wait until the next morning to go and rescue survivors,” said Nitin Sanket, assistant professor of robotics engineering...

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Unified memristor-ferroelectric memory developed for energy-efficient training of AI systems

A unified memristor-ferroelectric memory for the energy-efficient training of AI systems
Credit: Dupouy/CEA

Over the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently store increasing amounts of data. However, the different types of devices developed to date come with their own trade-offs, which pose limits on their overall performance and restrict their possible applications.

Researchers at Université Grenoble Alpes (CEA-Leti, CEA List), Université de Bordeaux (CNRS) and Université Paris-Saclay (CNRS) recently developed a new memory device that combines two complementary components typically used individually, known as memristors and ferroelectric capacitors (FeCAPs)...

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DeepMind introduces AI agent that learns to complete various tasks in a scalable world model

DeepMind introduces an AI agent that learns to complete various tasks in a scalable world model
Dreamer 4 learns to solve complex control tasks by reinforcement learning inside of its world model. We decode the imagined training sequences for visualization, showing that the world model has learned to simulate a wide range of game mechanics from low-level mouse and keyboard actions, including breaking blocks, using tools, and interacting with crafting tables. Credit: arXiv (2025). DOI: 10.48550/arxiv.2509.24527

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital environments, allowing them to master board games, control simulated robots and reliably tackle various other tasks...

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Ultracompact semiconductor could power next-gen AI and 6G chips

chip
Credit: CC0 Public Domain

A research team, led by Professor Heein Yoon in the Department of Electrical Engineering at UNIST has unveiled an ultra-small hybrid low-dropout regulator (LDO) that promises to advance power management in advanced semiconductor devices. This innovative chip not only stabilizes voltage more effectively, but also filters out noise—all while taking up less space—opening new doors for high-performance system-on-chips (SoCs) used in AI, 6G communications, and beyond.

The new LDO combines analog and digital circuit strengths in a hybrid design, ensuring stable power delivery even during sudden changes in current demand—like when launching a game on your smartphone—and effectively blocking unwanted noise from the power supply.

What sets this developmen...

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