Quantum AI, the fusion of quantum computing and artificial intelligence, is poised to revolutionize industries from finance to healthcare.
Next-generation technologies, such as leading-edge memory storage solutions and brain-inspired neuromorphic computing systems, could touch nearly every aspect of our lives — from the gadgets we use daily to the solutions for major global challenges. These advances rely on specialized materials, including ferroelectrics — materials with switchable electric properties that enhance performance and energy efficiency.
A research team led by scientists at the Department of Energy’s Oak Ridge National Laboratory has developed a novel technique for creating precise atomic arrangements in ferroelectrics, establishing a robust framework for advancing powerful new technologies. The findings are published in Nature Nanotechnology (“On-demand nanoengineering of in-plane ferroelectric topologies”).
“Local modification of the atoms and electric dipoles that form these materials is crucial for new information storage, alternative computation methodologies or devices that convert signals at high frequencies,” said ORNL’s Marti Checa, the project’s lead researcher. “Our approach fosters innovations by facilitating the on-demand rearrangement of atomic orientations into specific configurations known as topological polarization structures that may not naturally occur.” In this context, polarization refers to the orientation of small, internal permanent electric fields in the material that are known as ferroelectric dipoles.
Neuromorphic engineering is a cutting-edge field that focuses on developing computer hardware and software systems inspired by the structure, function, and behavior of the human brain. The ultimate goal is to create computing systems that are significantly more energy-efficient, scalable, and adaptive than conventional computer systems, capable of solving complex problems in a manner reminiscent of the brain’s approach.
This interdisciplinary field draws upon expertise from various domains, including neuroscience, computer science, electronics, nanotechnology, and materials science. Neuromorphic engineers strive to develop computer chips and systems incorporating artificial neurons and synapses, designed to process information in a parallel and distributed manner, akin to the brain’s functionality.
Key challenges in neuromorphic engineering encompass developing algorithms and hardware capable of performing intricate computations with minimal energy consumption, creating systems that can learn and adapt over time, and devising methods to control the behavior of artificial neurons and synapses in real-time.
Researchers have developed a method to recreate the formation of Lewy bodies in human neurons, shedding light on the essential roles of alpha-synuclein and immune responses in their development. This breakthrough offers new insights into Parkinson’s disease, showing that Lewy bodies form only under specific conditions and highlighting the potential…
Researchers at KIT’s Physikalisches Institut have developed a method to precisely control diamond tin-vacancy qubits.
A well came back to life Wednesday and hasn’t stopped since, with experts trying to get to the bottom of things.
The European Space Agency (ESA) just launched its much-anticipated effort to explore the wreckage of the asteroid Dimorphos, the cosmic body that NASA successfully obliterated last year during its pioneering planetary defense test in 2022. The “crash scene” surveillance team includes the spacecraft Hera as well as two tiny cubesats,…
The Nobel Prize in Physics has been awarded to two scientists, Geoffrey Hinton and John Hopfield, for their work on machine learning.
British-Canadian Professor Hinton is sometimes referred to as the “Godfather of AI” and said he was flabbergasted.
He resigned from Google in 2023, and has warned about the dangers of machines that could outsmart humans.
Aesthetic bewilderment is a kind of common ground in science and art, an engine for new ideas in both disciplines, writes Brazilian artist Vik Muniz in the introduction to a new book of photographs and essays about bacteria by microbiologist Tal Danino. That book, titled Beautiful Bacteria: Encounters in the Microuniverse, was published last week.
Danino collaborated with Muniz on a number of projects—including one that involved making art out of viruses and cancer cells—when Muniz was a visiting artist at MIT. “I think that scientists oftentimes see a beautiful pattern and wonder about the underlying processes that make such a pattern happen,” says Danino when I ask him what aesthetic bewilderment means to him. Take the complex architectures of the snowflake, the markings on the coats of animals, or the fractal-like arrangements produced by some communities of microbes. “I think that there’s a lot of scientific work that just begins with a scientist saying, ‘Wow, this is such a cool pattern or dynamic process and I really want to study it,’” he says.
