Term tag: AI Research

AI Drug Discovery

What AI actually does at each stage of drug development, why it speeds up the cheap part, and where AI-designed molecules really stand in clinical trials.

AI for Good

AI for Good is an aspiration, not a technique, and nothing certifies the label. Here it is tested against named projects with published, measured results.

AI in Science

Three different things get called AI for science. Two have produced verified results, the third mostly has not — and what got revised down.

AI Research

AI research is the systematic investigation into the development of algorithms, models, and systems that exhibit intelligent behavior.

Artificial Intelligence (AI)

AI is software whose behaviour is fitted from data instead of written rule by rule: what that means, why the label keeps moving, and where you already use it.

General Problem Solver (GPS)

The 1957 Newell-Shaw-Simon program that solved problems by means-ends analysis, and the b^d arithmetic that stopped it from scaling past puzzles.

Protein Folding

How a chain of amino acids collapses into the 3D shape that sets a protein's function - and how predicting that shape from sequence became AlphaFold's win.

Quantum Computing (QC)

Quantum computing uses qubits — held in superposition and entangled — for exponential speedups on a narrow set of problems, not general computing.

Scaling Laws

The empirical curves that make AI capex rational: model loss falls predictably with compute, data and parameters — and what they do not promise.

State of the Art Model (SOTA)

There is no single SOTA model. How to read a benchmark claim — and why a 3-point lead on GPQA Diamond is six questions, well inside the noise.