Category Technology/Electronics

No battery needed: Single organic device can act as both indoor solar cell and a photodetector

Dongguk University researchers develop breakthrough material for powering next-generation smart devices
The proposed material facilitates bifunctionally driven organic photonic conversion devices for next-generation applications. Credit: Associate Professor Jea Woong Jo from Dongguk University and Associate Professor Jae Won Shim from Korea University

Next-generation optoelectronic systems (devices that convert light to electrical energy) leverage organic semiconductor-based indoor energy-autonomous architectures for cutting-edge applications. Notably, organic semiconductors possess mechanical flexibility, solution processability, and bandgap-tunable optoelectronic properties, making them highly lucrative for indoor power generation via organic photovoltaics (OPVs), as well as for spectrally selective photodetection through organic photodetectors (OPDs)...

Read More

AI search robot uses 3D maps and internet knowledge to find lost items

Search robot thinks for itself
Credit: Technical University Munich

A robot that can locate lost items on command, the latest development at the Technical University of Munich (TUM), combines knowledge from the internet with a spatial map of its surroundings to efficiently find the objects being sought. The new robot from Prof. Angela Schoellig’s TUM Learning Systems and Robotics Lab looks like a broomstick on wheels with a camera mounted at the top. It is one of the first robots that not only integrates image understanding but also applies it to a clearly defined task.

To find a pair of glasses misplaced in the kitchen, for example, the robot has to look around and build a three-dimensional image of the room. The camera initially provides two-dimensional images, but these pixels also contain depth information...

Read More

The AI that taught itself: How AI can learn what it never knew

Illustration: Midjourney

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it stumbles. A new study from the USC Viterbi School of Engineering was accepted at the IEEE SoutheastCon 2026, taking place March 12–15. It suggests something far more surprising: with the right method in place, an AI model can dramatically improve its performance in territory it was barely trained on, pushing well past what its training data alone would ever allow.

The method was developed by Minda Li, a USC Viterbi undergraduate who has been pursuing research since her freshman year, working alongside her advisor Bhaskar Krishnamachari, a Faculty Fellow and S...

Read More

Aerosol jet printing creates durable, low-power transistors for next-generation tech

Printing electronic parts for next-generation technologies
Aerosol jet printer at Argonne used to deposit custom nanoparticle inks and build printed electronic parts for low-power transistor devices. Credit: Argonne National Laboratory

Tiny electronic devices, called microelectronics, may one day be printed as easily as words on a page, thanks to new research from scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory. Building on years of progress in printed electronics, the team has shown how to create durable, low-power electronic switches, called transistors, by combining custom inks and a specialized printing process.

These switches, which control the flow of electrical current to turn circuits on and off, use very little power, are built to last and show new behaviors not seen in earlier printed devices...

Read More