Results 81 to 90 of about 30,509,203 (214)
Injection Molding at the MIT Artificial Intelligence Lab [PDF]
, 1995 This paper describes the injection molding equipment at the MIT Artificial Intelligence Lab and how to use it. Topic covered include mold design, insert molding, safety, and material properties.MIT Artificial Intelligence ...
Binnard, Michael
core
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Symbol acquisition for probabilistic high-level planning [PDF]
, 2015 We introduce a framework that enables an agent to autonomously learn its own symbolic representation of a low-level, continuous environment. Propositional symbols are formalized as names for probability distributions, providing a natural means of dealing
Lozano-Perez, Tomas +2 more
core
Advanced Engineering Materials, EarlyView.The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
Introduction to Artificial Intelligence
, 2010 This zip file contains the entire material for the Introduction to Artificial Intelligence module.
ukoer +2 more
core
Advanced Engineering Materials, EarlyView.The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
Bootstrapping Monte Carlo tree search with an imperfect heuristic
, 2012 10.1007/978-3-642-33486-3_11Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)7524 LNAIPART 2164 ...
Lee, W.-S. +8 more
core +1 more source
Advanced Engineering Materials, EarlyView.Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic +2 more
wiley +1 more source
Artificial Intelligence Applications for Brain–Computer Interfaces
Artificial Intelligence Applications for Brain-Computer Interfaces focuses on the advancements, challenges, and prospects of future technologies involving noninvasive brain-computer interfaces (BCIs). It includes the processing and analysis of multimodal
Subasi, Abdulhamit +3 more
core +1 more source
Artificial Intelligence and Customer Communication [PDF]
, 2016 There is a rapid increase in the usage of artificial intelligence in the most recent decade. Use of Artificial Intelligence in the customer interaction is gaining traction in the market.
Hibatullah Alzahrani
core