Science and Technology

Perovskite solar cells are a class of photovoltaic devices that use a perovskite-structured material as the light-absorbing layer. Over the past decade, they have moved from laboratory curiosities to serious contenders in the global solar market. Their appeal lies in a combination of high power conversion efficiency, low manufacturing cost, and design flexibility. Laboratory efficiencies have climbed rapidly, from below 4 percent in the early 2010s to over 26 percent in single-junction cells and above 33 percent in tandem configurations when combined with silicon.This pace of improvement is unprecedented in solar technology and has triggered intense interest from researchers, startups,…

Electrolyzers split water into hydrogen and oxygen using electricity. Their economics determine whether clean hydrogen can compete with fossil-based alternatives across industry, transport, and power storage. Historically, high capital cost and modest efficiency limited deployment. Over the past decade, *materials science* has become the main lever for change, reshaping catalysts, membranes, electrodes, and structural components. The result is a steady drop in system cost per kilowatt and a rise in efficiency and lifetime.The main cost drivers in electrolyzersThe cost of an electrolyzer is not driven by any single component, so progress emerges from a range of material enhancements rather than…

The Technological Evolution Reshaping Modern AgricultureAgriculture is experiencing a significant shift fueled by drones and robotic systems. These tools are transforming the way farmers observe their fields, identify signs of stress, and manage inputs like fertilizers and pesticides. By integrating aerial insights, terrestrial robotics, and advanced data analysis, contemporary farms are becoming more accurate, productive, and environmentally conscious.The Role of Drones in Crop MonitoringDrones, also known as unmanned aerial vehicles, have become essential tools for real-time crop observation. Equipped with advanced sensors and cameras, they provide insights that were previously expensive or impossible to obtain at scale. Multispectral and hyperspectral…

Neural Processing Units, commonly referred to as NPUs, are purpose-built processors engineered to boost artificial intelligence and machine learning tasks. While CPUs manage broad, general operations and GPUs deliver exceptional parallel graphics and computation, NPUs concentrate on matrix calculations, inference processes, and highly efficient on-device training. In addition to NPUs, the wider family of AI chips encompasses dedicated accelerators embedded within system-on-a-chip architectures or supplied as standalone components for PCs and servers.Over the last half decade, AI workloads have steadily moved away from cloud‑first computation and toward on-device intelligence. This transition is fueled by calls for reduced latency, heightened privacy,…

Augmented reality glasses and spatial computing platforms are evolving from niche experimental devices into essential computing instruments, a transition propelled by breakthroughs in hardware miniaturization, artificial intelligence, networking, and robust software ecosystems, all converging to reshape how digital experiences merge with the physical world and transform the ways people work, study, and engage with information.Miniaturization and Wearability as Core Design PrioritiesOne major trend centers on creating lighter, more comfortable AR glasses that look much closer to ordinary eyewear. Earlier headsets were heavy and consumed significant power, which slowed their adoption. Newer models emphasize improved weight balance, slimmer waveguides, and energy‑efficient…

Digital biomarkers refer to objective and measurable physiological and behavioral information gathered via digital devices, including smartphones, wearable sensors, and connected medical instruments. In contrast to traditional biomarkers that typically depend on lab evaluations or in‑clinic assessments, digital biomarkers are produced continuously within everyday environments. They capture indicators such as heart rhythms, activity levels, sleep behaviors, vocal attributes, typing patterns, and movement dynamics, turning routine interactions with technology into meaningful health insights.Shifting from Occasional Treatment to Ongoing MonitoringTraditional health monitoring is typically episodic, based on occasional clinic visits and short diagnostic tests. Digital biomarkers shift this model toward continuous observation.…