Science and Technology

Extreme Ultraviolet lithography, commonly known as EUV lithography, is the most critical manufacturing technology enabling the continued scaling of semiconductor process nodes below 7 nanometers. By using light with a wavelength of 13.5 nanometers, EUV allows chipmakers to print extremely small and dense circuit patterns that were not economically or physically feasible with previous deep ultraviolet techniques. As the semiconductor industry pushes toward 3 nanometers, 2 nanometers, and beyond, EUV lithography is evolving rapidly to meet unprecedented technical and economic demands.From First-Generation EUV to High-Volume ManufacturingEarly EUV systems functioned mainly as research platforms, restricted by weak light source output, short…

Solid-state batteries replace the liquid or gel electrolyte used in conventional lithium-ion batteries with a solid electrolyte. This structural change promises higher energy density, improved safety, longer life cycles, and faster charging. For electric vehicles, these benefits directly translate into longer driving range, reduced fire risk, and potentially lower lifetime costs.Automakers and battery manufacturers have pursued solid-state technology for more than a decade, but recent progress in materials science, manufacturing methods, and scale-up has moved it from laboratory promise toward industrial reality. As this shift accelerates, it is reshaping electric vehicle development timelines and forcing strategic reassessments across the industry.Essential…

The pace of materials discovery has shifted dramatically in the past decade. What once took decades of trial-and-error experimentation can now occur in years or even months. This acceleration is driven by the convergence of artificial intelligence and high-throughput laboratories, which together transform how scientists explore, test, and validate new materials. The change is not incremental; it is structural, reshaping the entire discovery pipeline from hypothesis to deployment.Long-Standing Obstacles in Materials DiscoveryHistorically, materials research followed a slow, linear path. Scientists proposed a theory, synthesized a small number of samples, tested them one by one, and refined the approach based on…

Body recomposition means changing the ratio of fat mass to lean mass: losing fat while gaining or preserving muscle. Unlike simple weight loss, recomposition requires managing nutrition and training simultaneously, and progress can be subtle. Tracking is essential because single data points lie; trends reveal real change. Done well, tracking guides adjustments and boosts motivation. Done poorly, tracking becomes obsessive and counterproductive.Essential guidelines for balanced trackingMeasure trends, not daily values. Weight, circumference, and mood fluctuate. Use weekly or biweekly averages to identify real shifts.Use multiple metrics. Relying on one measure misleads. Combine objective and subjective indicators.Limit frequency. Decide a reasonable…

Battery performance shapes the future of electric vehicles, renewable energy storage, consumer electronics, and grid resilience. Two metrics dominate progress: energy density, which determines how much energy a battery can store per unit of weight or volume, and cycle life, which measures how many charge–discharge cycles a battery can endure before significant degradation. Innovations that improve both are accelerating electrification while lowering lifetime costs and environmental impact.Cutting-Edge Cathode Materials Enhancing Overall Energy DensityCathodes largely determine a battery’s energy density. Recent innovations focus on increasing the amount of lithium that can be reversibly stored while maintaining structural stability.High-nickel layered oxides (including…

Modern AI systems are no longer limited chiefly by sheer computational power, as both training and inference in deep learning demand transferring enormous amounts of data between processors and memory. As models expand from millions to hundreds of billions of parameters, the memory wall—the widening disparity between processor speed and memory bandwidth—emerges as the primary constraint on performance.Graphics processing units and AI accelerators are capable of performing trillions of operations per second, yet their performance can falter when data fails to arrive quickly enough. At this point, memory breakthroughs like High Bandwidth Memory (HBM) become essential.Why HBM Stands Apart at…

Gene therapy seeks to address illness by introducing, modifying, or controlling genetic material inside a patient’s cells, yet its success often hinges less on the sequences themselves and more on how accurately, securely, and effectively those instructions are delivered to the intended cells; while early approaches faced immune responses, poor targeting, and brief therapeutic effects, emerging delivery technologies are reshaping the field by boosting precision, stability, and safety along with widening the spectrum of diseases that can be treated.Cutting-edge viral vector platformsViral vectors continue to serve as key delivery systems since viruses inherently penetrate cells, and current progress aims to…

Artificial intelligence systems, particularly large language models, may produce responses that sound assured yet are inaccurate or lack evidence. These mistakes, widely known as hallucinations, stem from probabilistic text generation, limited training data, unclear prompts, and the lack of genuine real‑world context. Efforts to enhance AI depend on minimizing these hallucinations while maintaining creativity, clarity, and practical value.Superior and Meticulously Curated Training DataImproving the training data for AI systems stands as one of the most influential methods, since models absorb patterns from extensive datasets, and any errors, inconsistencies, or obsolete details can immediately undermine the quality of their output.Data filtering…

Earth’s core may contain vast hidden reserves of hydrogen, reshaping theories about planet’s water origins. Beneath our feet lies a hidden reservoir that could dwarf all of Earth’s oceans. The discovery could transform our understanding of how Earth formed and where its water came from.Far below the crust and mantle, at depths unreachable by drilling technology, Earth’s core remains one of the least accessible regions of our planet. Yet new scientific findings suggest that this remote and extreme environment may hold an extraordinary secret: a vast store of hydrogen potentially equivalent to several times the volume contained in all of…

Large foundation models have dominated public attention in artificial intelligence due to their broad capabilities, massive training datasets, and impressive performance across many tasks. However, a parallel shift is underway. Smaller, specialized AI models are increasingly competitive by focusing on efficiency, domain expertise, and practical deployment advantages. Rather than replacing foundation models, these compact systems are reshaping how organizations think about performance, cost, and real-world impact.What Defines Smaller, Specialized AI ModelsSmaller, specialized models are designed with a narrow or clearly defined purpose. They typically have fewer parameters, are trained on curated datasets, and target specific industries or tasks such as…