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Print/export Download as PDF; Printable version; ... Help. Pages in category "Artificial intelligence papers" The following 4 pages are in this category, out of 4 ...
Artificial Intelligence: A General Survey, commonly known as the Lighthill report, is a scholarly article by James Lighthill, published in Artificial Intelligence: a paper symposium in 1973. [1] It was compiled by Lighthill for the British Science Research Council as an evaluation of academic research in the field of artificial intelligence (AI ...
The paper introduced a new deep learning architecture known as the transformer, based on the attention mechanism proposed in 2014 by Bahdanau et al. [4] It is considered a foundational [5] paper in modern artificial intelligence, as the transformer approach has become the main architecture of large language models like those based on GPT.
Paper volumes are printed by the AAAI Press. The Journal for Artificial Intelligence Research (JAIR) is one of the premier publication venues in artificial intelligence. JAIR also stands out in that, since its launch in 1993, it has been 100% open-access and non-profit.
They cover Artificial Intelligence, a field of computer science. Noteworthy memos in the series include: AI Memo 39, "The New Compiler", describing the first implementation of a self-hosting compiler (for LISP 1.5) AI Memo 41, "A Chess Playing Program", describing Kotok-McCarthy, the first computer program to play chess convincingly
Computing Machinery and Intelligence" is a seminal paper written by Alan Turing on the topic of artificial intelligence. The paper, published in 1950 in Mind , was the first to introduce his concept of what is now known as the Turing test to the general public.
Automated planning and scheduling, sometimes denoted as simply AI planning, [1] is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.
AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...