Two Sydney PhD students have pulled off a remarkable space science feat from Earth—using AI-driven software to correct image blurring in NASA’s James Webb Space Telescope. Their innovation, called AMIGO, fixed distortions in the telescope’s infrared camera, restoring its ultra-sharp vision without the need for a space mission.
Emerging adulthood – the life stage that unfolds around ages 18–25 – is full of major transitions, such as starting college or learning a trade, making new friends and romantic connections, and generally becoming more independent.
It’s also a stage where behaviors that diminish heart health, such as spending more time sitting, consuming more fast food, and using more tobacco and alcohol, become more common.
In fact, only about 1 in 4 youths maintain positive health behavior patterns during the transition to adulthood.
King Abdullah University of Science and Technology (KAUST; Saudi Arabia) researchers have set a record in microchip design, achieving the first six-stack hybrid CMOS (complementary metal-oxide semiconductor) for large-area electronics. With no other reported hybrid CMOS exceeding two stacks, the feat marks a new benchmark in integration density and efficiency, opening possibilities in electronic miniaturization and performance.
A paper detailing the team’s research appears in Nature Electronics.
Among microchip technologies, CMOS microchips are found in nearly all electronics, from phones and televisions to satellites and medical devices. Compared with conventional silicon chips, hybrid CMOS microchips hold greater promise for large-area electronics. Electronic miniaturization is crucial for flexible electronics, smart health, and the Internet of Things, but current design approaches are reaching their limits.
Title: The Shaw Prize Lecture in Mathematics 2025: From Shape to Space.
Date: Oct 22, 2025
Speaker: Prof. Kenji FUKAYA
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Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process. However, as AI technology advances, machines are increasingly doing things themselves. An example is a new AI system developed by researchers that invented its own way to learn, resulting in an algorithm that outperformed human-designed algorithms on a series of complex tasks.
For decades, human engineers have designed the algorithms that agents use to learn, especially reinforcement learning (RL), where an AI learns by receiving rewards for successful actions. While learning comes naturally to humans and animals, thanks to millions of years of evolution, it has to be explicitly taught to AI. This process is often slow and laborious and is ultimately limited by human intuition.
Taking their cue from evolution, which is a random trial and error process, the researchers created a large digital population of AI agents. These agents tried to solve numerous tasks in many different, complex environments using a particular learning rule.
Wearable or implantable devices to monitor biological activities, such as heart rate, are useful, but they are typically made of metals, silicon, plastic and glass and must be surgically implanted. A research team in the McKelvey School of Engineering at Washington University in St. Louis is developing bioelectronic hydrogels that could one day replace existing devices and have much more flexibility.
Alexandra Rutz, an assistant professor of biomedical engineering, and Anna Goestenkors, a fifth-year doctoral student in Rutz’s lab, created novel granular hydrogels. They are made of microparticles that could be injected into the body, spread over tissues or used to encapsulate cells and tissue and also to monitor and stimulate biological activity. Results of their research were published Oct. 8 in the journal Small.
The microparticles are spherical hydrogels made from the conducting polymer known as PEDOT: PSS. When packed tightly, they are similar to wet sand or paste: They hold as a solid with micropores, but they can also be 3D printed or spread into different shapes while maintaining their structure or redistributed into individual microparticles when placed in liquid.