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In a new Nature Communications study, researchers have developed an in-memory ferroelectric differentiator capable of performing calculations directly in the memory without requiring a separate processor.

The proposed differentiator promises energy efficiency, especially for edge devices like smartphones, autonomous vehicles, and security cameras.

Traditional approaches to tasks like image processing and motion detection involve multi-step energy-intensive processes. This begins with recording data, which is transmitted to a memory unit, which further transmits the data to a microcontroller unit to perform differential operations.

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The study identifies a new class of layered antiferromagnets with spin-valley locking, offering efficient spin control without relying on spin–orbit coupling.

Altermagnets are a newly recognized class of materials that show momentum-dependent spin splitting without requiring spin-orbit coupling (SOC) or net magnetization. These materials have recently garnered international attention.

A research team led by Prof. Junwei Liu from the Department of Physics at the Hong Kong University of Science and Technology (HKUST), together with experimental collaborators, published groundbreaking findings in Nature Physics.

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A discovery by scientists at Scripps Research and the Georgia Institute of Technology could shed light on the evolution of life on Earth and pave the way for more efficient biofuel production. Early Earth was a volatile and inhospitable place, marked by extreme temperatures, widespread volcanic a

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The human brain is known to contain a wide range of cell types, which have different roles and functions. The processes via which cells in the brain, particularly its outermost layer (i.e., the cerebral cortex), gradually become specialized and take on specific roles have been the focus of many past neuroscience studies.

Researchers at the University of California Los Angeles (UCLA) analyzed different datasets collected using single-cell transcriptomics, a technique to study in individual cells, to map the emergence of different cell types during the brain’s development.

Their findings, published in Nature Neuroscience, unveil gene “programs” that drive the specialization of cells in the human cerebral cortex.

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Phase-change actuation has been revived for the era of untethered, electrically driven soft robots. Our team at the University of Coimbra have developed a phase transition soft actuator designed to power electric soft robots that require high force and precision. Our innovation leverages the liquid-to-gas phase transition of water to generate mechanical motion in a way that is simple, scalable, and remarkably powerful.

Unlike traditional soft actuators, which often rely on bulky pneumatics, exotic materials, or high voltages, our design exploits a well-known process: boiling. Using a tiny embedded heater, our transforms water into steam, generating internal pressure that drives motion in soft, flexible structures. As a result, our actuator can operate at voltages as low as 24 V, deliver forces exceeding 50 N, and achieve pressurization rates of up to 100 kPa/s.

Our findings are published in Nature Communications.

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Researchers at Northwestern University and Israel’s Tel Aviv University have overcome a major barrier to achieving a low-cost solution for advanced robotic touch. The authors argue that the problem that has been lurking in the margins of many papers about touch sensors lies in the robotic skin itself.

In the study, inexpensive silicon rubber composites used to make skin were observed to host an insulating layer on the top and bottom surfaces, which prevented direct electrical contact between the sensing polymer and the monitoring surface electrodes, making accurate and repeatable measurements virtually impossible.

With the error eliminated, cheap robotic skins could allow robots to mimic human touch, allowing them to sense an object’s curves and edges, which is necessary to properly grasp it.

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Researchers headed by a team at the California Institute of Technology developed an ultrasound-guided 3D printing technique that could make it possible to fabricate medical implants in vivo and deliver tailored therapies to tissues deep inside the body—all without invasive surgery. The researchers say the imaging-guided deep tissue in vivo sound printing (DISP) platform utilizes low-temperature–sensitive liposomes (LTSLs) as carriers for cross-linking agents, enabling precise, controlled in situ fabrication of biomaterials within deep tissues.

Reporting on their development in Science “Imaging-guided deep tissue in vivo sound printing”, first author Elham Davoodi, PhD, and senior, corresponding author Wei Gao, PhD, described proof of concept studies demonstrating in vivo printing within the bladders and muscles of mice, and rabbits, respectively. Gas vesicle (GV)–based ultrasound imaging integrated into the printing platform enabled real-time monitoring of the printing process and precise positioning. In their paper, the authors concluded, “DISP’s ability to print conductive, drug-loaded, cell-laden, and bioadhesive biomaterials demonstrates its versatility for diverse biomedical applications.”

Three-dimensional (3D) bioprinting technologies offer significant promise to modern medicine by enabling the creation of customized implants, intricate medical devices, and engineered tissues, tailored to individual patients, the authors wrote. “However, the implantation of these constructs often requires invasive surgeries, limiting their utility for minimally invasive treatments.”

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