Quantum Computing Quantum computing is an emerging field that leverages the principles of quantum mechanics to perform computations far more efficiently than classical computers for certain problems. Unlike classical bits (which are either 0 or 1), quantum computers use quantum bits (qubits), which can exist in a superposition of states, enabling parallel processing. Key Concepts … Read more
Ambient Invisible Intelligence Ambient Invisible Intelligence (AII) refers to smart, context-aware systems that operate seamlessly in the background, enhancing human experiences without requiring direct interaction. These systems leverage AI, IoT, sensors, and ambient computing to anticipate needs, automate tasks, and adapt environments—all while remaining unobtrusive. Key Features of AII: Unobtrusive Presence – Works silently in … Read more
Post Quantum Cryptography Unlike traditional cryptographic systems (e.g., RSA, ECC, and DH), which rely on the hardness of integer factorization or discrete logarithms, PQC uses mathematical problems that are believed to be resistant to quantum algorithms like Shor’s algorithm. Why is PQC Important Quantum computers, when sufficiently powerful, could break widely used public-key cryptosystems: Shor’s … Read more
Micro LLMS “Micro LLMs” (Micro Large Language Models) refer to smaller, more efficient versions of traditional large language models (LLMs) like GPT-4, LLAMA, or Mistral. These models are optimized for lower computational resources while still maintaining useful performance for specific tasks. Key Characteristics of Micro LLMs: Smaller Size – Typically under 1 billion parameters (often … Read more
Extended Reality XR Extended Reality (XR) is an umbrella term that encompasses all immersive technologies, including Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), as well as future innovations that blend the physical and digital worlds. XR is transforming industries like gaming, education, healthcare, and enterprise by creating interactive, immersive experiences. Key Components … Read more
Neuromorphic Computing Neuromorphic Computing is a cutting-edge approach to computing that draws inspiration from the structure and function of the human brain. Unlike traditional von Neumann architectures (used in most computers today), neuromorphic systems aim to mimic the brain’s neural networks to achieve high efficiency, parallelism, and adaptability. Key Features of Neuromorphic Computing: Brain-Inspired Architecture: … Read more