
The Shift Beyond CPUs and GPUs For years, artificial intelligence workloads relied primarily on central processing units (CPUs) and graphics processing units (GPUs). While GPUs revolutionized deep learning with their parallel processing capabilities, they were still general-purpose chips — not built specifically for AI. As models grew larger and more complex, the need for…

In recent years, the rapid development of artificial intelligence (AI) has led to its integration into a variety of technologies, from smartphones to smart homes and even personal computers. However, as AI becomes more advanced, it raises concerns about its potential risks, especially when it gains control over personal systems. While AI offers many…

As quantum computers evolve, they present a significant threat to current cryptographic methods that are widely used for securing communications and data. Quantum computing’s potential to solve complex problems exponentially faster than classical computers means that conventional encryption techniques, such as RSA and ECC, are vulnerable to being broken. This is where quantum cryptography…