A framework of a mechanical translation between Japanese and English by analogy principle
Proc. of the international NATO symposium on Artificial and human intelligence
Communications of the ACM - Special issue on parallelism
The society of mind
Semantic interpretation and the resolution of ambiguity
Semantic interpretation and the resolution of ambiguity
Information-based syntax and semantics: Vol. 1: fundamentals
Information-based syntax and semantics: Vol. 1: fundamentals
The connection machine
Analog VLSI and neural systems
Analog VLSI and neural systems
The prospects for building truly intelligent machines
The artificial intelligence debate: false starts, real foundations
A parallel indexed algorithm for information retrieval
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Using associative content-addressable memories to control robots
Artificial intelligence at MIT
On the thresholds of knowledge
Artificial Intelligence
IXM2: a parallel associative processor
ISCA '91 Proceedings of the 18th annual international symposium on Computer architecture
Eight principles for building an intelligent robot
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Seismic modeling at 14 gigaflops on the connection machine
Proceedings of the 1991 ACM/IEEE conference on Supercomputing
Compiler parallelization of an elliptic grid generator for 1990 Gordon Bell prize
Proceedings of the 1991 ACM/IEEE conference on Supercomputing
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Trading MIPS and memory for knowledge engineering
Communications of the ACM
Direct memory access parsing
Transition network grammars for natural language analysis
Communications of the ACM
Parallel Supercomputing in SIMD Architectures
Parallel Supercomputing in SIMD Architectures
Integrating Marker Passing and Problem Solving: A Spreading Activation Approach to Improved Choice in Planning
Conceptual Information Processing
Conceptual Information Processing
Understanding Natural Language
Understanding Natural Language
Artificial Life II
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Inside Case-Based Reasoning
Artificial Life: A Constructive Lower Bound for Artificial Intelligence
IEEE Expert: Intelligent Systems and Their Applications
AFL-1: A Programming Language for Massively Concurrent Computers
AFL-1: A Programming Language for Massively Concurrent Computers
Case-based planning: an integrated theory of planning, learning and memory
Case-based planning: an integrated theory of planning, learning and memory
Large-vocabulary speaker-independent continuous speech recognition: the sphinx system
Large-vocabulary speaker-independent continuous speech recognition: the sphinx system
Large-scale parallelization of alpha-beta search: an algorithmic and architectural study with computer chess
Experiments and prospects of Example-Based Machine Translation
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Toward memory-based translation
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Cooperation between transfer and analysis in example-based framework
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
JANUS: a speech-to-speech translation system using connectionist and symbolic processing strategies
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Design of a Massively Parallel Processor
IEEE Transactions on Computers
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Artificial Intelligence has been the field of study for exploring the principles underlying thought, and utilizing their discovery to develop useful computers. Traditional AI models have been, consciously or subconsciously, optimized for available computing resources which has led AI in certain directions. The emergence of massively parallel computers liberates the way intelligence may be modeled. Although the AI community has yet to make a quantum leap, there are attempts to make use of the opportunities offered by massively parallel computers, such as memory-based reasoning, genetic algorithms, and other novel models. Even within the traditional AI approach, researchers have begun to realize that the needs for high performance computing and very large knowledge bases to develop intelligent systems requires massively parallel AI techniques. In this Computers and Thought Award lecture, I will argue that massively parallel artificial intelligence will add new dimensions to the ways that the AI goals are pursued, and demonstrate that massively parallel artificial intelligence is where AI meets the real world.