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Category: robotics/AI – Page 5

Combination of quantum and classical computing supports early diagnosis of breast cancer

Quantum computing is still in its early stages of development, but researchers have extensively explored its potential uses. A recent study conducted at São Paulo State University (UNESP) in Brazil proposed a hybrid quantum-classical model to support breast cancer diagnosis from medical images.

The work was published as part of the 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), organized by the Institute of Electrical and Electronics Engineers (IEEE). In the publication, the authors describe a hybrid that combines quantum and classical layers using an approach known as a quanvolutional neural network (QNN). They applied the model to mammography and ultrasound images to classify lesions as benign or malignant.

“What we wanted to bring to this work was a very basic architecture that used quantum computing but contained a minimum of quantum and classical devices,” says Yasmin Rodrigues, the first author of the study. The work is part of her scientific initiation project, supervised by João Paulo Papa, full professor in the Department of Computing at the Bauru campus of UNESP. Papa also co-authored the article.

Heat-rechargeable design powers nanoscale molecular machines

Though it might seem like science fiction, scientists are working to build nanoscale molecular machines that can be designed for myriad applications, such as “smart” medicines and materials. But like all machines, these tiny devices need a source of power, the way electronic appliances use electricity or living cells use ATP (adenosine triphosphate, the universal biological energy source).

Researchers in the laboratory of Lulu Qian, Caltech professor of bioengineering, are developing nanoscale machines made out of synthetic DNA, taking advantage of DNA’s unique chemical bonding properties to build circuits that can process signals much like miniature computers. Operating at billionth-of-a-meter scales, these molecular machines can be designed to form DNA robots that sort cargos or to function like a neural network that can learn to recognize handwritten numerical digits.

One major challenge, however, has remained: how to design and power them for multiple uses.

New AI enhances the view inside fusion energy systems

Imagine watching a favorite movie when suddenly the sound stops. The data representing the audio is missing. All that’s left are images. What if artificial intelligence (AI) could analyze each frame of the video and provide the audio automatically based on the pictures, reading lips and noting each time a foot hits the ground?

That’s the general concept behind a new AI that fills in missing data about plasma, the fuel of fusion, according to Azarakhsh Jalalvand of Princeton University. Jalalvand is the lead author on a paper about the AI, known as Diag2Diag, that was recently published in Nature Communications.

“We have found a way to take the data from a bunch of sensors in a system and generate a synthetic version of the data for a different kind of sensor in that system,” he said. The synthetic data aligns with real-world data and is more detailed than what an actual sensor could provide. This could increase the robustness of control while reducing the complexity and cost of future fusion systems. “Diag2Diag could also have applications in other systems such as spacecraft and robotic surgery by enhancing detail and recovering data from failing or degraded sensors, ensuring reliability in critical environments.”

Cyborgs: We examine the concepts of cyborgs, clarify what they are and how they differ from bionics, androids, and similar concepts

We also discuss some of the lesser known options for augmentation and explore the notion of man-machine integration.

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Cover Art by Jakub Grygier: https://www.artstation.com/artist/jak… by: Dexter Britain “Seeing the Future” Lombus “Hydrogen Sonata” Sergey Cheremisinov “Labyrinth” Kai Engel “Endless Story about Sun and Moon” Frank Dorittke “Morninglight” Koalips “Kvazar” Kevin MacLeod “Spacial Winds” Lombus “Amino” Brandow Liew “Into the Storm”

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‘Embodied’ AI in virtual reality improves programming student confidence

Researchers have found that giving AI “peers” in virtual reality (VR) a body that can interact with the virtual environment can help students learn programming. Specifically, the researchers found students were more willing to accept these “embodied” AI peers as partners, compared to voice-only AI, helping the students better engage with the learning experience.

“Using AI agents in a VR setting for teaching students programming is a relatively recent development, and this proof-of-concept study was meant to see what kinds of AI agents can help students learn better and work more effectively,” says Qiao Jin, corresponding author of a paper on the work and an assistant professor of computer science at North Carolina State University.

“Peer learning is widespread in the programming field, as it helps students engage in the . For this work, we focused on ‘pAIr’ learning, where the programming peer is actually an AI agent. And the results suggest that embodying AI in the VR environment makes a real difference for pAIr learning.”

“AI Just Invented Miracle Cooling Paint”: Researchers Create Coating That Drops Building Temperatures 36 Degrees While Air Conditioning Industry Faces Extinction

In the ongoing battle against rising urban temperatures, a groundbreaking innovation offers a promising solution. A team of international researchers has

Photodiode design using germanium solves key challenge in on-chip light monitoring

Programmable photonics devices, which use light to perform complex computations, are emerging as a key area in integrated photonics research. Unlike conventional electronics that transmit signals with electrons, these systems use photons, offering faster processing speeds, higher bandwidths, and greater energy efficiency. These advantages make programmable photonics well-suited for demanding tasks like real-time deep learning and data-intensive computing.

A major challenge, however, lies in the use of power monitors. These sensors must constantly track the optical signal’s strength and provide the necessary feedback for tuning the chip’s components as required. However, existing on-chip photodetectors designed for this purpose face a fundamental tradeoff. They either have to absorb a significant amount of the optical signal to achieve a strong reading, which degrades the signal’s quality, or they lack the sensitivity to operate at the low power levels required without needing additional amplifiers.

As reported in Advanced Photonics, Yue Niu and Andrew W. Poon from The Hong Kong University of Science and Technology have addressed this challenge by developing a germanium-implanted silicon waveguide photodiode. Their approach overcomes the tradeoffs that have hindered existing on-chip power monitoring technologies.

Security researchers say G1 humanoid robots are secretly sending information to China and can easily be hacked

Researchers have uncovered serious security flaws with the Unitree G1 humanoid robot, a machine that is already being used in laboratories and some police departments. They discovered that G1 can be used for covert surveillance and could potentially launch a full-scale cyberattack on networks.

It sounds like the stuff of science fiction nightmares, robots that are secretly spying on you and could be controlled by remote hackers. However, the concern is real, as these types of robots are becoming increasingly common in homes, businesses, and .

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