Transformer: The AI Architecture Behind Almost Everything
The 2017 neural-network architecture under almost every modern AI system, from GPT and Claude to AlphaFold and Whisper. Self-attention was all it needed.
AI and Computer Science
12 glossary terms
AI and computer science define the language of modern machine intelligence. The terms here cover the algorithms that power large language models, the data structures that let software scale, and the concepts researchers argue about when they debate what AI can and cannot do. You will find foundational ideas such as hallucinations and prompt engineering alongside technical specifics like tensor operations or benchmark evaluation. Because the field moves quickly, some definitions describe stable classical theory and others describe ideas only a few years old. Together they offer a stable vocabulary for a domain still finding its shape.
Protein Folding Prediction: How AI Decoded Biology's 50-Year Puzzle
Protein folding prediction uses computational methods to determine the three-dimensional shape a protein adopts from its amino acid sequence, central to drug design and disease research.
Mixture of Experts: The Architecture Behind Frontier AI
A mixture of experts is a neural network architecture that routes each input to a small subset of specialized sub-networks, activating only the relevant experts rather than the entire model.
Quantum Computing Qubits: The Bits That Break Binary
A qubit is the basic unit of quantum information, using superposition and entanglement for calculations beyond classical reach.
Generative AI: How Machines Learned to Create
Generative AI produces new content by learning statistical patterns from large datasets. How it works, where it came from, and what it means for science.
Data Quality in AI: Why Better Data Beats Better Models
Data quality in AI measures how accurate, complete, consistent, and representative a dataset is for training and validating machine learning models.
Digital Twin: The Virtual Mirror That Learns from Reality
A digital twin is a virtual replica of a physical object, process, or system that updates continuously with real-time data from its physical counterpart.
Computer-based Simulation: How Science Tests What It Cannot Touch
A computer-based simulation uses mathematical models to reproduce real-world systems, letting scientists test scenarios too costly, slow, or dangerous to run physically.
Agentic AI: The Machines That Act on Their Own
Agentic AI describes artificial intelligence systems that can pursue goals through independent planning, reasoning, and action, with minimal human oversight.
AIOps: How AI Automates IT Operations
AIOps applies machine learning and big data analytics to automate IT operations, including event correlation, anomaly detection, and root cause analysis.