The new analogue in-memory chip performs computation inside memory, lowering power consumption and latency for AI and data-center workloads.
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‘Smart’ crystals self-repair at —320°F, could unlock new space tech
The team, led by NUY Abu Dhabi’s Panče Naumov, developed a material they dubbed smart molecular crystals. In a paper published in the journal Nature Materials, they outlined the observation process that allowed them to identify the material’s impressive properties.
During experiments, they observed that the material could be mechanically damaged in extreme cold and then repair itself. Importantly, it also recovered its ability to transmit light after being damaged. This is essential for low-temperature flexible optical and electronic devices.
According to a press statement, the material can restore its structure even at temperatures as low as −196°C (−320°F), the boiling temperature of liquid nitrogen. The material also remains functional throughout a wide temperature range, going up to 150°C (302°F).
Filics secures €13.5M to expand and roll out its robotics platform
Morten E. Iversen, partner at Sandwater, said that Filics technology offers not only substantial space efficiency but also a flexible, scalable path to the automation of warehouses:
For Sandwater, it represents a transformative solution that can redefine warehouse operations—reducing space needs, boosting productivity, and achieving a smaller footprint through a smart hardware/software combination. We have been truly impressed by the team.
The Filics Unit will be further developed for use in floor block warehouses by the end of 2025, enabling up to 66 per cent space savings to be achieved. In the medium term, the company plans to develop the technology further to enable fully autonomous truck loading in under five minutes.
Scalable ion concentration polarization dialyzer for peritoneal dialysate regeneration
Year 2025 portable dialysis machine.
Where (C: molar concentration, R: ideal gas constant, T: absolute temperature).
While ED uses both cation and anion exchange membranes to remove charged components, it cannot purify neutral species because they are not affected by the electric field (Fig. 1 A). Therefore, its application as a dialyzer is limited by its inability to simultaneously remove neutral urea and positively charged creatinine. Despite their merits, none of these techniques can simultaneously purify a wide size-range of target species, spanning from salt ions to biomolecular contaminants, in a single-step process. In contrast, one of the nanoelectrokinetic phenomenon, the ion concentration polarization (ICP) based purification technology [28,29,30,31,32], as reported recently, aligns with these criteria, owing to its distinctive electrical filtration capabilities and scalability. Briefly, the perm-selectivity of nanoporous membranes initiates an electrolyte concentration polarization on both sides of the membrane. In the case of cation-selective membranes, an ion depletion zone forms on the anodic side of the membrane [33, 34]. Charged species reroute their trajectories along the concentration gradients near this ion depletion zone, serving as a pivotal site for the purification of a broad range of contaminants.
In this study, for portable PD, we firstly proposed a scalable ICP dialysate regeneration device. ICP removes cationic components through the cation exchange membrane, anionic components by electrostatic repulsion and neutral species through an electrochemical reaction at the electrode (Fig. 1B). When urea, a neutrally charged body toxin, begins to undergo direct oxidation at the electrode inlet, the concentration of urea around the electrode decreases. The urea concentration profile exhibits a decrease closer to the electrode, and as urea diffuses towards the electrode vicinity, a chain reaction of direct oxidation occurs. As a result, a purified dialysate could be continuously obtained by extracting a stream from the ion depletion zone. Micro-nanofluidic dialysate regeneration platform was upscaled in two-and three-dimensional directions using a commercial 3D printer as shown in Fig. 1C.
Neuroprotective effects of Cratoxylum formosum (L.) leaf extract on β-amyloid-induced injury in human neuroblastoma SH-SY5Y cells
Palachai, N., Buranrat, B., Pariwatthanakun, C. et al. Neuroprotective effects of Cratoxylum formosu m (L.) leaf extract on β-amyloid-induced injury in human neuroblastoma SH-SY5Y cells. Sci Rep 15, 44,730 (2025). https://doi.org/10.1038/s41598-025-28739-3
Metamaterial Performs Computations in a New Way
A research team has developed a triangular mechanical network that can squeeze and wiggle in a multitude of preprogrammed ways [1]. The metamaterial design—realized in experiments with various materials, including Legos—may have applications from shock absorption to protein modeling. But the researchers also demonstrated that their structures can solve problems in matrix algebra. Performing computations in materials without converting information to electrical signals could be useful when durability and energy efficiency are more important than computing power, for example, in components of some soft robots.
Recent work showed that a mechanical system can perform similar computations [2]. However, this previous demonstration was limited in the number of inputs and outputs that it could accommodate, says Yair Shokef of Tel Aviv University in Israel. It also had rather large components that made it difficult to adapt to different applications.
Shokef and his colleagues, who produced the latest demonstration, built their 2D networks from equilateral triangles. Each triangle consisted of rigid beams with hinge points at each vertex and at the center of each side, for a total of three so-called corner nodes and three edge nodes per triangle. Importantly, each triangle had one or two “bonds”—beams that connected edge nodes and that determined the ways in which the triangle could be distorted or flexed.