AI Agents
An AI agent is a software system that selects and performs actions in an environment in pursuit of an objective.
Artificial Intelligence
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Showing 1-54 of 54 articles
AI Drug Discovery
AI drug discovery refers to the use of artificial intelligence techniques, including machine learning, deep learning, generative models, and natural language processing, to accelerate and improve the process…
AI for Science
AI for science is the use of artificial intelligence, particularly deep learning and large language models, to accelerate scientific discovery across biology, chemistry, physics, materials science…
ARC-AGI-2
ARC-AGI-2 (Abstraction and Reasoning Corpus for Artificial General Intelligence 2) is an abstract reasoning benchmark for artificial intelligence, released on March 24, 2025 by the ARC Prize Foundation
Agentic Context Engineering
Agentic Context Engineering (ACE) is a framework for scalable and efficient context adaptation in large language models (LLMs) that lets an AI system improve itself by treating its own context as an evolving
AlphaFold
AlphaFold is an artificial intelligence system developed by Google DeepMind that predicts the three-dimensional structure of a protein directly from its amino acid sequence.
Andrew Ng
Andrew Ng is a British-American computer scientist and entrepreneur who is one of the most influential figures in modern artificial intelligence, best known for co-founding Google Brain and Coursera, serving…
Artificial Intelligence
Artificial intelligence (AI) is the field of computer science dedicated to creating systems that perform tasks normally requiring human intelligence, such as learning, reasoning, recognizing patterns…
Claude Sonnet 4.5
Claude Sonnet 4.5 is a multimodal large language model (LLM) developed by Anthropic and released on September 29, 2025, which Anthropic described at launch as "the best coding model in the world." It is a…
Compound AI System
A compound AI system is an AI system that achieves its objectives by combining multiple interacting components, such as large language models, retrieval mechanisms, external tools, guardrails, and…
Computer Vision
Computer vision is the study of computational methods that extract, estimate, or generate useful representations from visual measurements.
Computer-use agent
A computer-use agent (CUA) is a category of AI agent in artificial intelligence that performs tasks by directly operating a general-purpose computer's graphical user interface (GUI) the way a human does, by…
Context window
A context window is the finite token sequence that a language model can process for one invocation.
DBSCAN
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a density-based clustering algorithm that groups together points packed closely in feature space and labels points in low-density regions…
Data labeling
Data labeling (also called data annotation) is the process of attaching meaningful tags, labels, or metadata to raw data so that machine learning algorithms can learn from it.
Deep Learning
Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to automatically learn representations of data at multiple levels of abstraction
Dynamic Programming
Dynamic programming (DP) is an algorithmic technique that solves a complex problem by breaking it into simpler overlapping subproblems, solving each subproblem once, and storing the result so it is never…
Edge AI
Edge AI is the practice of running artificial intelligence models directly on the device that generates the data, such as a smartphone, laptop, camera, vehicle, or IoT sensor
Generative AI
Generative AI is a class of artificial intelligence systems that produces new data instances, such as text, software code, images, audio, video, molecular structures, or other representations, by learning…
Geoffrey Hinton
Geoffrey Hinton (born December 6, 1947) is a British-Canadian computer scientist whose research has focused on neural networks, representation learning, and computational accounts of learning in the brain.
Google DeepMind
Google DeepMind is an artificial intelligence research and model-development organization at Google.
Heuristic
A heuristic is a practical problem-solving approach that trades optimality, completeness, accuracy, or precision for speed, producing a good-enough answer when an exact method would be too slow, too expensive…
History of Artificial Intelligence
The history of artificial intelligence is the story of a scientific field that has cycled between extravagant promises, painful funding collapses, and genuine breakthroughs since the mid-twentieth century.
InclusionAI
inclusionAI is an open-source artificial general intelligence (AGI) research initiative established by Ant Group, the financial-technology affiliate of the Alibaba ecosystem.
John Giannandrea
John Giannandrea is a Scottish-born software engineer and technology executive who ran artificial intelligence organizations at two of the largest consumer technology companies in the world.
Large Language Model
A large language model (LLM) is an artificial intelligence system built on a transformer neural network with billions to trillions of parameters, trained on massive text corpora to predict the next token in a…
Latent Dirichlet allocation
Latent Dirichlet allocation (LDA) is a generative probabilistic model that discovers the hidden thematic structure in a collection of documents by treating each document as a mixture of a small number of…
Machine Learning
Machine learning (ML) is a branch of artificial intelligence that gives computers the ability to learn from data and improve their performance on tasks without being explicitly programmed.
Machine Translation
Machine translation (MT) is the automatic translation of text or speech from one human language into another.
Machine learning terms/Fairness
The key machine learning fairness terms are the formal criteria used to define and measure when a model treats demographic groups equitably, together with the named biases that make models unfair.
Meta Prompting
Meta prompting (also spelled meta-prompting) is an advanced prompt engineering technique where large language models (LLMs) are used to generate, refine, critique, select, or optimize prompts for themselves or…
Mixture of Agents
Mixture of Agents (MoA) is a multi-model collaboration framework that combines multiple large language models (LLMs) in a layered architecture
Natural Language Processing
Natural language processing (NLP) is the study and development of computational methods for analyzing, representing, retrieving, transforming, and generating human language.
NeurIPS
NeurIPS is the short name used by the annual Conference on Neural Information Processing Systems.
OCR Models
OCR Models are artificial intelligence (AI) systems that convert images of typed, handwritten, or printed text into machine-readable digital text through Optical Character Recognition (OCR).
Object detection
Object detection is a computer vision task that finds instances of interest in an image and assigns each one a category.
Open-source AI
Open-source AI refers to artificial intelligence systems whose recipients have broad rights to use, study, modify, and share the system, together with access to the materials needed to exercise those rights.
Pattern Recognition
Pattern recognition is the automatic discovery of regularities in data through the use of computer algorithms
Post-training
Post-training is the stage of large language model (LLM) development that comes after pre-training and turns a raw, general-purpose base model into an aligned, instruction-following AI assistant.
Pre-training
Pre-training is a stage of machine learning in which a model learns parameters from a source dataset or source objective before those parameters are reused or adapted for a target use.
Protein folding
Protein folding is the physical process by which a polypeptide chain, a linear sequence of amino acids, acquires its functional three-dimensional structure, and the long-standing scientific challenge of…
Quantum machine learning
Quantum machine learning (QML) is a research field that sits at the intersection of quantum computing and machine learning.
Reasoning (artificial intelligence)
Reasoning in artificial intelligence is the ability of an AI system to draw inferences, solve problems, and make decisions through structured, multi-step thought rather than a single immediate response.
Reasoning models
Reasoning models are large language models that are post-trained or configured to spend additional inference-time computation on intermediate steps before returning an answer.
Recursive self-improvement
Recursive self-improvement (RSI) is a process in which an artificial intelligence system improves its own intelligence or its ability to improve itself, so that each enhancement increases its capacity for…
Reinforcement learning
Reinforcement learning (RL) is a branch of machine learning in which an agent learns to make decisions by taking actions in an environment to maximize a cumulative reward signal, discovering good behavior…
Supervised Learning
Supervised learning is a machine learning paradigm in which a model is fitted to examples that pair an input with an observed target.
Supervised fine-tuning
Supervised fine-tuning (SFT) is supervised training applied to a model that has already been trained.
Test-time compute
Test-time compute (also called inference-time compute scaling or test-time scaling) is the practice of allocating additional computation while a large language model answers a query
Training AI to Paint with Code
Training AI to Paint with Code is an experimental AI art project published by designer and researcher Surya Narreddi in March 2026.
Unsupervised learning
Unsupervised learning is a branch of machine learning in which algorithms identify patterns, structures, and relationships in data without relying on labeled examples or explicit human guidance.
World model
A world model is an artificial intelligence system that learns an internal representation of how an environment works, enabling it to predict future states, simulate the consequences of actions, and support…
Yann LeCun
Yann Andre LeCun (born July 8, 1960) is a French-American computer scientist, a pioneer of convolutional neural networks (CNNs) and deep learning, and a 2018 ACM A.M. Turing Award laureate often called one of…
Yoshua Bengio
Yoshua Bengio (born March 5, 1964) is a Canadian computer scientist whose research has focused on deep learning, representation learning, neural language models, and generative models.