Science and Technology

US researchers have created a nasal spray vaccine that may offer broad protection against numerous respiratory infections such as coughs, colds, flu, and specific bacterial diseases, while also lowering allergic responses. Initial animal testing indicates it activates the immune system through an innovative mechanism, although human trials remain necessary.Scientists at Stanford University are evaluating what they describe as a universal vaccine, a development that marks a notable departure from standard vaccination methods. Instead of focusing on a single pathogen as conventional vaccines do, this approach activates a broad immune alert within the lungs, priming white blood cells—specifically macrophages—to react swiftly…

Modern AI systems are no longer constrained primarily by raw compute. Training and inference for deep learning models involve moving massive volumes of data between processors and memory. As model sizes scale from millions to hundreds of billions of parameters, the memory wall—the gap between processor speed and memory throughput—becomes the dominant performance bottleneck.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.What makes HBM fundamentally differentHBM is a form of…

Gene therapy aims to treat disease by adding, editing, or regulating genetic material within a patient’s cells. The effectiveness of these therapies depends less on the genetic instructions themselves and more on how precisely, safely, and efficiently those instructions reach the right cells. Early gene therapies struggled with immune reactions, limited targeting, and short-lived effects. New delivery methods are changing that landscape by improving accuracy, durability, and safety while expanding the range of treatable diseases.Next-generation viral vectorsViral vectors continue to serve as key delivery systems since viruses inherently penetrate cells, and current progress aims to enhance their targeting precision while…

Artificial intelligence systems, especially large language models, can generate outputs that sound confident but are factually incorrect or unsupported. These errors are commonly called hallucinations. They arise from probabilistic text generation, incomplete training data, ambiguous prompts, and the absence of real-world grounding. Improving AI reliability focuses on reducing these hallucinations while preserving creativity, fluency, and usefulness.Superior and Meticulously Curated Training DataOne of the most impactful techniques is improving the data used to train AI systems. Models learn patterns from massive datasets, so inaccuracies, contradictions, or outdated information directly affect output quality.Data filtering and deduplication: Removing low-quality, repetitive, or contradictory sources…

Dreaming is a nearly universal human experience, with most individuals drifting into several dreams each night, although what they see, how vivid it feels, and what they later remember can differ greatly. Researchers investigate dreams to explore how the brain handles memory, emotion, creativity, and overall activity. Although no single, definitive explanation clarifies why dreaming occurs, a growing body of evidence from neurobiology, psychology, evolutionary perspectives, and clinical research suggests a multifaceted set of purposes and underlying processes.How the brain operates while dreamingDreams are typically most intense during rapid eye movement (REM) sleep, yet they can also emerge throughout non-REM…

Productivity improvements driven by AI copilots often remain unclear when viewed through traditional measures such as hours worked or output quantity. These tools support knowledge workers by generating drafts, producing code, examining data, and streamlining routine decision-making. As adoption expands, organizations need a multi-dimensional evaluation strategy that reflects efficiency, quality, speed, and overall business outcomes, while also considering the level of adoption and the broader organizational transformation involved.Clarifying How the Business Interprets “Productivity Gain”Before measurement begins, companies align on what productivity means in their context. For a software firm, it may be faster release cycles and fewer defects. For a…