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Collaborative sensing Collaborative Sensing refers to the process where multiple sensing devices or agents work together to gather, share, and process data to achieve a common objective. This approach enhances the accuracy, coverage, and robustness of sensing tasks compared to relying on a single sensor or isolated systems. Collaborative sensing is widely used in fields … Read more
Methodology The methodology section outlines the systematic approach used to conduct research or achieve a project’s objectives. It includes the research design, data collection methods, analysis techniques, and tools used. Research Design Type of Study: Qualitative, quantitative, or mixed-methods. Approach: Experimental, observational, case study, survey-based, etc. Justification: Why this design is suitable for addressing the … Read more
Generative AI watermarking refers to techniques used to embed identifiable markers into content (images, text, audio, video) created by AI models. These watermarks help distinguish AI-generated content from human-created content, ensuring transparency, authenticity, and accountability. Here’s a breakdown: Types of AI Watermarking Visible Watermarks Overlaid text, logos, or patterns (e.g., “Generated by AI”). Common in … Read more
Nanozymes Nanozymes are nanomaterial-based artificial enzymes that mimic the catalytic functions of natural enzymes. They combine the unique properties of nanomaterials (e.g., high stability, tunable activity, and low cost) with the catalytic efficiency of enzymes. Since their discovery in 2007 (FE₃O₄ nanoparticles with peroxidase-like activity), nanozymes have emerged as promising alternatives to natural enzymes in … Read more
Green nitrogen fixation Green Nitrogen Fixation refers to sustainable and environmentally friendly methods of converting atmospheric nitrogen (N₂) into biologically usable forms (such as ammonia, NH₃) without relying on energy-intensive industrial processes like the Haber-Bosch method. These approaches aim to reduce carbon emissions, energy consumption, and environmental degradation associated with synthetic nitrogen fertilizers. Key Methods … Read more
Autonomous biochemical sensing refers to systems capable of continuously monitoring biochemical analytes (e.g., glucose, hormones, toxins, or pathogens) without human intervention. These systems integrate sensing, data processing, and sometimes actuation (e.g., drug delivery) for real-time decision-making. Here’s a breakdown of key aspects: Core Components Sensing Element: Biosensors: Use bioreceptors (enzymes, antibodies, DNA/RNA aptamers) to bind … Read more
Engineered Living Therapeutics (ELTs) represent a cutting-edge approach in medicine that uses genetically modified or engineered living cells to treat diseases. These therapies leverage the natural capabilities of cells—such as bacteria, immune cells, or stem cells—enhanced with synthetic biology to target specific conditions with high precision. Key Types of ELTs: Engineered Bacteria: Example: Synlogic’s SYNB1618 … Read more
Structural battery composites (SBCs) represent a cutting-edge innovation in materials science, combining load-bearing capability with energy storage in a single multifunctional material. By integrating the functions of a battery and a structural component, SBCs aim to reduce weight, improve efficiency, and enable new design possibilities in applications like electric vehicles (EVs), aerospace, and portable electronics. … Read more
Osmotic power systems Osmotic power, also known as salinity gradient power (SGP), is a renewable energy technology that generates electricity by exploiting the energy difference between saltwater (e.g., seawater) and freshwater (e.g., river water). This process relies on osmosis—a natural phenomenon where water moves through a semi-permeable membrane from a low-salt concentration to a high-salt … Read more
AI TRISM It focuses on managing trust, risk, and security aspects to make AI applications reliable, ethical, and compliant with regulations. Key Components of AI TRISM: Trust Ensures AI systems are transparent, fair, and explainable. Includes techniques like Explainable AI (XAI) to make AI decisions understandable. Addresses bias detection and mitigation to promote fairness. Risk … Read more