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Nanotechnology in AI: Building Faster, Smaller, and Smarter Systems

As artificial intelligence (AI) rapidly advances, the physical limitations of conventional semiconductor hardware have become increasingly apparent. AI models today demand vast computational resources, high-speed processing, and extreme energy efficiency—requirements that traditional silicon-based systems struggle to meet. However, nanotechnology is stepping in to reshape the future of AI by offering solutions that are faster, smaller, and smarter at the atomic scale.

The recent article published by AZoNano provides a compelling overview of how nanotechnology is revolutionizing the design and operation of AI systems, pushing beyond the constraints of Moore’s Law and Dennard scaling. Through breakthroughs in neuromorphic computing, advanced memory devices, spintronics, and thermal management, nanomaterials are enabling the next generation of intelligent systems.

Taming Heat in Quantum Tech

Many quantum technologies function only at ultralow temperatures. Managing the flow of heat in these systems is crucial for protecting their sensitive components. Now Matteo Pioldi and his colleagues at the CNR Institute of Nanoscience and the Scuola Normale Superiore, both in Pisa, Italy, have devised a thermal analogue of a transistor that could facilitate this heat management [1]. Just as a transistor can control electric currents, the new device has the potential to control heat currents in cryogenic quantum systems.

The most common type of transistor has three electrical terminals: the source, the gate, and the drain. Adjusting the voltage applied to the gate alters the strength of the electric current flowing from the source to the drain. In the proposed device, a semiconductor-based thermal reservoir serves as the source, and metallic thermal reservoirs serve as the gate and the drain. A second semiconductor-based reservoir exchanges heat with the source through photons and with the gate and the drain through electrons. Changing the gate’s temperature affects how easily heat flows through the device and, in turn, alters the strength of the heat current flowing from the source to the drain.

Pioldi and his colleagues performed numerical simulations of their device in a realistic setup at ultralow temperatures. They found that a small change in the strength of the heat current coming from the gate could cause the strength of the current between the source and the drain to increase by an amount that was 15 times larger. They say that their device could improve heat management in quantum circuits and thus help optimize quantum sensors, quantum computers, and other temperature-sensitive quantum systems.

Progressing future osteoarthritis treatment toward precision medicine: integrating regenerative medicine, gene therapy and circadian biology

Osteoarthritis (OA) is a common joint disease that causes pain and stiffness, especially in older adults. Researchers are exploring new therapies to address this issue, here focusing on regenerative medicine, which uses stem cells to repair damaged cartilage. This involves injecting stem cells into joints to promote healing. However, challenges such as cell survival and long-term effectiveness remain. This study also examines gene therapy, which targets specific genes to reduce inflammation and cartilage breakdown. Biomaterials such as hydrogels and nanoparticles are used to deliver these therapies directly to the joint, improving treatment precision. In addition, this research highlights the role of circadian rhythms in OA, suggesting that timing treatments could enhance their effectiveness. These advancements aim to provide more personalized and effective OA treatments. Future research will focus on refining these approaches for better patient outcomes.

This summary was initially drafted using artificial intelligence, then revised and fact-checked by the author.

Laser pulses and nanoscale changes yield stable skyrmion bags for advanced spintronics

A team of researchers at the Max Born Institute and collaborating institutions has developed a reliable method to create complex magnetic textures, known as skyrmion bags, in thin ferromagnetic films. Skyrmion bags are donut-like, topologically rich spin textures that go beyond the widely studied single skyrmions.

New microscope creates 3D ghost images of nanoparticles using entangled photons

Ghost imaging is like a game of Battleship. Instead of seeing an object directly, scientists use entangled photons to remove the background and reveal its silhouette. This method can be used to study microscopic environments without much light, which is helpful for avoiding photodamage to biological samples.

Ultra-small optical devices rewrite the rules of light manipulation

In the push to shrink and enhance technologies that control light, MIT researchers have unveiled a new platform that pushes the limits of modern optics through nanophotonics, the manipulation of light on the nanoscale, or billionths of a meter.

The result is a class of ultra-compact optical devices that are not only smaller and more efficient than existing technologies, but also dynamically tunable, or switchable, from one optical mode to another. Until now, this has been an elusive combination in nanophotonics.

The work is reported in the July 8 issue of Nature Photonics.

Hybrid Crystal-Glass Materials from Meteorites Transform Heat Control

Crystals and glasses have opposite heat-conduction properties, which play a pivotal role in a variety of technologies. These range from the miniaturization and efficiency of electronic devices to waste-heat recovery systems, as well as the lifespan of thermal shields for aerospace applications.

The problem of optimizing the performance and durability of materials used in these different applications essentially boils down to fundamentally understanding how their chemical composition and atomic structure (e.g., crystalline, glassy, nanostructured) determine their capability to conduct heat. Michele Simoncelli, assistant professor of applied physics and applied mathematics at Columbia Engineering, tackles this problem from first principles — i.e., in Aristotle’s words, in terms of “the first basis from which a thing is known” — starting from the fundamental equations of quantum mechanics and leveraging machine-learning techniques to solve them with quantitative accuracy.

In research published on July 11 in the Proceedings of the National Academy of Sciences, Simoncelli and his collaborators Nicola Marzari from the Swiss Federal Technology Institute of Lausanne and Francesco Mauri from Sapienza University of Rome predicted the existence of a material with hybrid crystal-glass thermal properties, and a team of experimentalists led by Etienne Balan, Daniele Fournier, and Massimiliano Marangolo from the Sorbonne University in Paris confirmed it with measurements.

Harvard’s ultra-thin chip could revolutionize quantum computing

Researchers at Harvard have created a groundbreaking metasurface that can replace bulky and complex optical components used in quantum computing with a single, ultra-thin, nanostructured layer. This innovation could make quantum networks far more scalable, stable, and compact. By harnessing the power of graph theory, the team simplified the design of these quantum metasurfaces, enabling them to generate entangled photons and perform sophisticated quantum operations — all on a chip thinner than a human hair. It's a radical leap forward for room-temperature quantum technology and photonics.

Electron beam method enables precise nanoscale carving and building of copper structures

Creating complex structures at the tiniest scales has long been a challenge for engineers. But new research from Georgia Tech shows how electron beams, already widely used in imaging and fabrication, can also be used as ultra-precise tools to both carve and build structures out of materials like copper.

The research group of Professor Andrei Fedorov at the George W. Woodruff School of Mechanical Engineering has discovered a technique that uses focused electron beams in a liquid environment to either remove or deposit copper, depending entirely on the surrounding chemistry.

By tuning the amount of in the solution, the researchers were able to control whether the beam etched away the material or deposited it, effectively allowing 3D sculpting at the atomic level.

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