Look up any term in AI.

Supervised Learning

Training a model on labeled input-output pairs so it learns a mapping it can apply to new, unlabeled inputs.

CUDA

NVIDIA's software layer for GPUs — the programming model that turned graphics cards into AI hardware, and the real reason rivals with comparable silicon lose.

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.

Audio Processing (AP)

How computers turn sound into numbers: sampling, the Nyquist limit, spectrograms and mel filterbanks — the front end of every speech and audio model.

Precision Medicine

How precision medicine tailors care to a person's genome and clinical data, and what AI does in it: variant interpretation, risk, and drug response.

Data Poisoning

Data poisoning is a cyberattack where malicious actors insert corrupted or misleading data into an AI model's training set to manipulate its future.