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#3991 New Paradigms in Computing

#3991 New Paradigms in Computing #3991  Given Quantum Computing and Probabilistic Computing as new paradigms on their way to wide use sometime in the future, what other paradigms of optimized computing are in-work? While quantum and probabilistic computing capture most of the headlines, several other paradigms are being developed to bypass the "Von Neumann bottleneck" and the impending end of Moore’s Law. In 2025, these technologies are moving from pure academic theory into early commercial hardware. Here are the key "optimized" computing paradigms currently in work: 1. Neuromorphic Computing (Brain-Inspired) Instead of the standard CPU/RAM split, neuromorphic systems mimic the architecture of the human brain. They use SNNs (Spiking Neural Networks) where "neurons" only fire when they receive a specific signal, making them incredibly energy-efficient. The Optimization: It eliminates the constant data movement between processor and memory. Key Players: I...

#3990 Algol and APL

#3990 Algol and APL #3990  Tell me about Algol ALGOL (short for ALGOrithmic Language ) is one of the most influential programming languages in history.   While it isn't used for modern application development today, its DNA is present in almost every "curly brace" language you use, from C and C++ to Java and Rust. Created in the late 1950s by an international committee of European and American computer scientists, it was designed to be a universal, platform-independent language for describing scientific and mathematical algorithms. 1. The Core Versions The language evolved through three primary iterations: ALGOL 58: The first draft, originally called IAL (International Algebraic Language).   It introduced the idea of a machine-independent language. ALGOL 60: The "Gold Standard."   This version defined what we now consider "structured programming."   It became the standard for publishing algorithms in academic journals for over 30 years. ALGOL 68: A...