Technology

Introduction As humanity continues its quest for space exploration, the potential for conducting advanced biomanufacturing in space is capturing the attention of scientists and researchers. The Defense Advanced Research Projects Agency (DARPA) has embarked on a groundbreaking initiative known as B-SURE (Biotechnology for the Exploration of Space using Unique Readiness …

Energy is essential to modern society, as it powers our homes, industries, and transportation systems. Without energy, we would not be able to sustain our current standard of living, and many of the technologies and conveniences that we take for granted would not exist. The importance of energy will only …

Human-centric technology refers to technology that is designed with a focus on the needs and preferences of human users. This approach to technology development aims to create products and systems that are intuitive, easy to use, and enhance the human experience.   Human-centric technology is designed to be accessible to …

Introduction: The exponential growth of space objects, including orbital debris, poses an increasing risk of collisions in Earth’s orbit. With over 100 million objects less than 1 cm in size, the safety of operational satellites is a significant concern. Any of debris objects can cause harm to an operational spacecraft, …

Introduction: Electromagnetic sensors play a crucial role in various applications, ranging from communication systems and radar technology to medical imaging and security systems. In recent times, the Department of Defense (DoD) has shown a keen interest in pushing the boundaries of electromagnetic sensing capabilities, specifically in the high-frequency (HF) regime …

In a quantum leap forward, researchers at the University of Copenhagen have unveiled a groundbreaking innovation: the “quantum drum.” This remarkable technology, capable of detecting pressure, heat, gas leaks, and even the shape of a single virus, has been adapted to operate at room temperature. Until now, the quantum drum’s …

Scientific modeling is the process of creating simplified representations of complex phenomena in order to better understand them. Complex, multi-spatiotemporal, and nonlinear problems are particularly challenging to model because they involve multiple variables, interactions, and feedback loops that can be difficult to predict. Examples of such complex systems of relevance …