Category Physics

Self-supervised AI Learns Physics to Reconstruct Microscopic Images from Holograms

GedankenNet 2
Ozcan Research Lab/UCLA
Images showing the training and testing of UCLA-developed AI-powered GedankenNet using simulated holograms generated from random images in reconstructing microscopic images of various human tissue sections and Pap smears. Scale bar: 50 μm (millionth of a meter)

Advance uses thought experiments, instead of real data, to expedite learning. Researchers from the UCLA Samueli School of Engineering have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data.

In a recent paper published in Nature Machine Intelligence, UCLA’s Volgenau Professor for Engineering Innovation Aydogan Ozcan and his research team introduced a self-supervised AI model nicknamed GedankenNet that learns f...

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Robotic Sea Turtle Mimics Uniquely Adaptable Gait

Robotic sea turtle mimics uniquely adaptable gait
Notre Dame EE Ph.D. student Nnamdi Chikere and John Simon McElroy from University College Dublin. Credit: University of Notre Dame

Sea turtles can glide majestically through ocean waters and maneuver like armored vehicles over rocks and sand on land. Their locomotive adaptability makes them particularly interesting to robotics experts, who seek to learn the secrets of their gait and propulsion.

“The sea turtle’s unique body shape, the morphology of their flippers and their varied gait patterns makes them very adaptable,” said Yasemin Ozkan-Aydin, assistant professor of electrical engineering at the University of Notre Dame and a roboticist...

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Researchers Trick Large Language Models into providing Prohibited Responses

chatgpt
Credit: Pixabay/CC0 Public Domain

ChatGPT and Bard may well be key players in the digital revolution currently underway in computing, coding, medicine, education, industry and finance, but they also are capable of easily being tricked into providing subversive data.

Articles in recent months detail some of the leading problems. Disinformation, inappropriate and offensive content, privacy breaches and psychological harm to vulnerable users all raise issues of questions about if and how such content can be controlled.

OpenAI and Google have, for instance, designed protective barriers to stanch some of the more egregious incidents of bias and offensive content. But it is clear that a complete victory is not yet in sight.

Researchers at Carnegie Mellon University in Pittsburgh are...

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Current takes a Surprising Path in Quantum Material

Direct visualization of electronic transport in a quantum anomalous Hall  insulator | Nature Materials
Magnetic imaging of a QAH effect sample.

Cornell has used magnetic imaging to obtain the first direct visualization of how electrons flow in a special type of insulator, and by doing so they discovered that the transport current moves through the interior of the material, rather than at the edges, as scientists had long assumed.

The finding provides new insights into the electron behavior in so-called quantum anomalous Hall insulators and should help settle a decades-long debate about how current flows in more general quantum Hall insulators. These insights will inform the development of topological materials for next-generation quantum devices.

The team’s paper, “Direct Visualization of Electronic Transport in a Quantum Anomalous Hall Insulator,” published Aug...

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