Research Articles
The Quiet Revolution: How Computational Intelligence is Teaching Machines to Think Like Nature
Explore how computational intelligence techniques inspired by natural systems are revolutionizing machine learning, materials discovery, and artificial intelligence.
Brain-Inspired Computing: How Neural Networks Are Learning From Life
Explore the emerging field of biologically inspired neural networks and how scientists are reverse-engineering the brain to create more intelligent and efficient AI systems.
Thinking Like a Chef: How Artificial Neural Networks Are Revolutionizing Food Science
Explore how artificial neural networks are transforming food science, from optimizing production to predicting food quality and creating sustainable food solutions.
The Intelligence Engine: How MIT's Fusion of Minds and Machines Is Redefining AI
Explore how MIT's interdisciplinary approach to intelligence research is bridging neuroscience and artificial intelligence to unlock the secrets of cognition.
The Intelligent Brain: MIT's Fusion of Neuroscience and AI
Explore how MIT's interdisciplinary research is revolutionizing our understanding of intelligence through the convergence of neuroscience, cognitive science, and artificial intelligence.
The Electric Brain: How Your Mind Inspired the AI Revolution
Explore how neural networks mimic the human brain to power today's AI revolution. Learn about biologically inspired computing and the Perceptron experiment.
Beyond Circuits: The Quest to Engineer a Thinking Brain
Exploring the frontier of cognitive computational neuroscience and the quest to engineer a thinking brain through Semantic Pointer Architecture (SPA).
The Intelligence Architects: How MIT Is Decoding Brains and Building Minds
Explore how MIT's researchers are bridging neuroscience and AI to unlock the secrets of intelligence and build smarter machines.
The Mind as Code: Decoding Intelligence at the Frontier of Biology and Computation
Exploring the intersection of neuroscience and computation, where researchers are translating the brain's electrochemical language into digital algorithms.