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Artificial Intelligence Markup Language (AIML) [11] is an XML dialect [12] for use with Artificial Linguistic Internet Computer Entity (A.L.I.C.E.)-type chatterbots. Planner is a hybrid between procedural and logical languages. It gives a procedural interpretation to logical sentences where implications are interpreted with pattern-directed ...
One of Schildt's most enduring projects is the Little C interpreter, which is a lengthy example of a hand-written recursive-descent parser which interprets a subset of the C language. The program was originally published in Dr. Dobb's Journal in August, 1989 entitled "Building your own C interpreter". [ 4 ]
Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License.It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".
Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. [1] Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level. [2] Human Brain Project, ten-year scientific research project, based on exascale ...
How to invest in artificial intelligence For most retail investors, there’s a chance you already have exposure to AI, as many large U.S. public companies are either using AI or are actively ...
llama.cpp began development in March 2023 by Georgi Gerganov as an implementation of the Llama inference code in pure C/C++ with no dependencies. This improved performance on computers without GPU or other dedicated hardware, which was a goal of the project.
With each development, the software has become more powerful, but also more daunting for use by beginners. In 1997, the tLearn software was released to accompany a book. [4] This was a return to the idea of providing a small, user-friendly, simulator that was designed with the novice in mind.
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [ 1 ]