Artificial Intelligence and Japan’s Fifth Generation

2019 ◽  
Vol 88 (4) ◽  
pp. 619-658 ◽  
Author(s):  
Colin Garvey
Keyword(s):  
Artificial Intelligence ◽  
Global Economy ◽  
Large Scale ◽  
Computer Hardware ◽  
American Science ◽  
Fifth Generation ◽  
Intelligent Software ◽  
Nation States ◽  
Developed World ◽  
Generation Computer

In 1982, Japan launched its Fifth Generation Computer Systems project (FGCS), designed to develop intelligent software that would run on novel computer hardware. As the first national, large-scale artificial intelligence (AI) research and development (R&D) project to be free from military influence and corporate profit motives, the FGCS was open, international, and oriented around public goods. Although the FGCS did not plan any commercialized technologies, many American computer experts portrayed it as an economic threat to U.S. dominance in computing and the global economy—and policymakers around the developed world believed them and funded AI projects of their own. Later, however, the FGCS was remembered as a failure. Why? This article recasts the FGCS as an interstice in the shift from a state-funded regime of American science organization to the neoliberal privatized regime of R&D now ascendant around the world. By exploring how notions of economic competitiveness and national security shaped R&D, this article reveals AI to be a product of contingent choices by multiple actors—nation-states, government bureaucracies, corporations, and individuals—rather than the outcome of deterministic technological forces.

Logic Programming in the Fifth Generation

1984 ◽  
Vol 1 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Robert Kowalski
Keyword(s):  
Artificial Intelligence ◽  
Logic Programming ◽  
Programming Language ◽  
Computer Systems ◽  
Database Systems ◽  
Computer Architectures ◽  
Multiprocessor Computer ◽  
Software Specification ◽  
Fifth Generation ◽  
Generation Computer

The Japanese Fifth Generation Computer Systems (FGCS) project has chosen logic programming for its core programming language. It has recognized the major contribution that logic programming has to make not only in artificial intelligence but in database systems and software specification as well. It has recognized and intends to exploit the greater potential that logic programming has to offer for taking advantage of the parallelism possible with innovative multiprocessor computer architectures.

National Security and Public Anxiety: Our Changing Perceptions

2010 ◽  
pp. 32-40
Author(s):  
Sir Richard Dearlove
Keyword(s):  
Cold War ◽  
National Security ◽  
Security Policy ◽  
Large Scale ◽  
Security Threats ◽  
Nation States ◽  
Private Citizens ◽  
Russian Military ◽  
Full Force ◽  
The Cold War

This article discusses the changing perceptions on national security and civic anxiety. During the Cold War and its aftermath, security was rather a simple and straightforward issue. The countries knew their enemies, where they are and the threats they presented. On the event that, the enemies's secrets were unknown, probing techniques were employed to determine the weaknesses of the enemy. This formulaic situation which seeped through in to the twenty-first century left little room for innovation. In fact, in some countries, security maintained at the Cold War levels despite criticisms that new and emerging national security threats should be addressed at a new level. Of the powerful nations, America maintained the role of a world policeman and adapted its national security priorities according to its perception of a new series of strategic threats; however these new security strategies were without a sense of urgency. However, the perception of global threats and national security radically changed in the event of the 9/11 attack. The sleeping national security priorities of America came to a full force which affected the national security priorities of other nations as well. In the twenty-first globalized world, no conflict remains a regional clash. The reverberations of the Russian military action in Georgia, the Israeli intervention in Gaza, and the results of the attacks in Mumbai resonates loudly and rapidly through the wider international security system. While today, nations continue to seek new methods for addressing new security threats, the paradox of the national security policy is that nation-states have lost their exclusive grip of their own security at a time when the private citizens are assailed by increased fears for their own security and demand a more enhanced safety from the state. Nation-states have been much safer from large-scale violence, however there exists a strong sense of anxiety about the lack of security in the face of multiplicity of threats. Nations have been largely dependent on international coordinated action to achieve their important national security objectives. National policies and security theory lack precision. In addition, the internationalization of national security has eroded the distinction between domestic and foreign security. These blurring lines suggest that the understanding of national security is still at the height of transformations.

scholarly journals BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Real Time ◽  
Large Scale ◽  
Outcome Predictor ◽  
Short Term ◽  
Rts Game

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.

scholarly journals Mapping ‘wild zones’ of globalisation: on private actors and the rule of law

2021 ◽  
Vol 17 (1) ◽  
pp. 107-113
Author(s):  
Chantal Mak
Keyword(s):  
Global Economy ◽  
Large Scale ◽  
Legal Framework ◽  
International Investments ◽  
Goods And Services ◽  
Decision Making Processes ◽  
Private Corporations ◽  
Comprehensive Framework ◽  
Private Actors ◽  
The Impact

While private corporations have become increasingly influential in the global economy, a comprehensive legal framework for their activities is missing. Although international and regional legal instruments may govern some aspects of, for instance, international investments and the supply of goods and services, there is no overarching structure for assessing the impact of large-scale private projects. In the absence of such a comprehensive framework, specific rules of private law allow profit-seeking companies to expand their activities on an economic basis, mostly without having to heed social concerns (Pistor, 2019). This is particularly problematic insofar as multinational companies have obtained power to set the rules for their engagement with states, organisations and individuals, for instance in the form of transnational investment contracts. Given the fragmented nature of the legal sphere in which such contracts are elaborated and performed, those who face the harmful consequences of such investments may not be able to participate in decision-making processes. The contracts remain in ‘wild zones’ of globalisation (Fraser, 2014, p. 150), where powerful private companies rule.

Fifth-Generation Computer Systems: A Japanese Project

Computer ◽  
1984 ◽  
Vol 17 (3) ◽  
pp. 6-13 ◽  
Author(s):  
Moto-oka ◽  
Stone
Keyword(s):  
Computer Systems ◽  
Fifth Generation ◽  
Generation Computer

FPGA-Based Intelligent Software Hardening Chip for Computer Numerical Control System

2011 ◽  
Vol 105-107 ◽  
pp. 2217-2220
Author(s):  
Mu Lan Wang ◽  
Jian Min Zuo ◽  
Kun Liu ◽  
Xing Hua Zhu
Keyword(s):  
High Speed ◽  
High Performance ◽  
Large Scale ◽  
Position Control ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Cnc System ◽  
Intelligent Software

In order to meet the development demands for high-speed and high-precision of Computer Numerical Control (CNC) machine tools, the equipped CNC systems begin to employ the technical route of software hardening. Making full use of the advanced performance of Large Scale Integrated Circuits (LSIC), this paper puts forward using Field Programmable Gates Array (FPGA) for the functional modules of CNC system, which is called Intelligent Software Hardening Chip (ISHC). The CNC system architecture with high performance is constructed based on the open system thought and ISHCs. The corresponding programs can be designed with Very high speed integrate circuit Hardware Description Language (VHDL) and downloaded into the FPGA. These hardening modules, including the arithmetic module, contour interpolation module, position control module and so on, demonstrate that the proposed schemes are reasonable and feasibility.

World 2021: Pandemic and economic problems remain acute

2021 ◽  
pp. 5-20
Author(s):  
M. V. Ershov
Keyword(s):  
Economic System ◽  
Global Economy ◽  
Large Scale ◽  
Real Economy ◽  
Economic Problems ◽  
Support Measures ◽  
Long Time ◽  
Digital Money ◽  
Successful Business ◽  
The Stability

The global economy continues to grow, albeit mainly due to large-scale support measures from governments and regulators. Moreover, the latter are not sure about the prospects for such development, since the economies do not demonstrate the potential for independent growth. As a result, in order to stimulate it, regulators are forced to expand the range of their tools, mechanisms, approaches, otherwise the risks to the stability of the global financial and economic system increase. All this is happening against the background of negative rates, which have become virtually ubiquitous and persist for a long time. New growth records are being set in the stock markets, and their gap from the real economy is growing. A number of sectors are beginning to dominate, forming distortions and bubbles in the markets. In such conditions, the importance of digital money, ecosystems, etc. increases. Moreover, the faster and more efficiently regulators can integrate into these formats, the more successful business, the population, and the economy as a whole will be.

Custom Built of Smart Computing Platform for Supporting Optimization Methods and Artificial Intelligence Research

2021 ◽  
Vol 58 (S) ◽  
pp. 59-64
Author(s):  
Indar Sugiarto ◽  
Doddy Prayogo ◽  
Henry Palit ◽  
Felix Pasila ◽  
Resmana Lim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Message Passing ◽  
Graphics Processing Units ◽  
High Performance ◽  
Message Passing Interface ◽  
Optimization Methods ◽  
Computer Hardware ◽  
Production Environment ◽  
Computing Platform ◽  
Commercial Off The Shelf

This paper describes a prototype of a computing platform dedicated to artificial intelligence explorations. The platform, dubbed as PakCarik, is essentially a high throughput computing platform with GPU (graphics processing units) acceleration. PakCarik is an Indonesian acronym for Platform Komputasi Cerdas Ramah Industri Kreatif, which can be translated as “Creative Industry friendly Intelligence Computing Platform”. This platform aims to provide complete development and production environment for AI-based projects, especially to those that rely on machine learning and multiobjective optimization paradigms. The method for constructing PakCarik was based on a computer hardware assembling technique that uses commercial off-the-shelf hardware and was tested on several AI-related application scenarios. The testing methods in this experiment include: high-performance lapack (HPL) benchmarking, message passing interface (MPI) benchmarking, and TensorFlow (TF) benchmarking. From the experiment, the authors can observe that PakCarik's performance is quite similar to the commonly used cloud computing services such as Google Compute Engine and Amazon EC2, even though falls a bit behind the dedicated AI platform such as Nvidia DGX-1 used in the benchmarking experiment. Its maximum computing performance was measured at 326 Gflops. The authors conclude that PakCarik is ready to be deployed in real-world applications and it can be made even more powerful by adding more GPU cards in it.

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