Science and Technology

Body recomposition refers to altering the balance between fat and lean tissue by shedding fat while building or maintaining muscle. Rather than focusing on simple weight reduction, this process demands…

Biodegradable materials research has evolved from a niche academic pursuit into a strategically important commercial discipline, as firms in packaging, consumer goods, agriculture, construction, and healthcare increasingly fund materials designed…

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…

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…

Freshwater scarcity has moved from a regional concern to a global strategic challenge. Population growth, urbanization, industrial demand, climate volatility, and aging infrastructure are converging to strain conventional water supplies.…

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…

Artificial intelligence workloads are transforming data centers into extremely dense computing environments. Training large language models, running real-time inference, and supporting accelerated analytics rely heavily on GPUs, TPUs, and custom…

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…

Retrieval-augmented generation, often shortened to RAG, combines large language models with enterprise knowledge sources to produce responses grounded in authoritative data. Instead of relying solely on a model’s internal training,…