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DARPA Wants “Third Wave” AI System with Knowledge-Based Reasoning

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DARPA Wants “Third Wave” AI System with Knowledge-Based Reasoning
Photo Credit: BAE Systems

Although the advancements, made in artificial intelligence, U.S. Defense Advanced Research Project Agency (DARPA) launches their new AI large investment exploration project that meets its first opportunity for a contract award in the face of the announced on 17 August, program, the Automating Scientific Knowledge Extraction (ASKE), learned MiltechReview.com.

DARPA starts the program in order to find third wave artificial intelligence and machine-learning model that will leave behind global science and technology efforts in AI science and also will assist scientists and researchers push their work to new areas. The proposals are due to be submitted by 17 September. The period of the prospective $1 million contract for the prototype development and the establishment of the new AI concept is within 18 months.

In order the adoption of AI system to be sped up, DARPA is issuing a Disruption Opportunity, which demands innovative basic research concepts that explore new architectures and approaches in order to be improved AI’s capability to generalize beyond training data and to operate with sub-optimal data.

In particular, the ASKE program will be looking for developing opportunity of more reasonable AI systems that have the capability to aggregate scientific data over a number of physical, biological and social complex systems, rapidly. Another specific feature of the AI system is to have the ability to identify automatically new data and information resources. As science depends on equations and complex computations of large data base, the proposed AI system should meet the requirements to have the capabilities to interpret and to discover scientific knowledge as well as underlying assumptions in existing computational models. Thus, to derive useful information, such as causal relationships, correlations and parameters, in order to be integrated into a machine-curated model, whose purpose is to generate more robust hypothesis.

To be guaranteed the system proper operating, which is expected to happen with the full-breadth available scientific information, DARPA wants AI system that has the ability to verify published scientific results, automatically, and to monitor, in real time, the fragile economic, political, social and environmental systems that experience complex events. Another DARPA’s requirement is for the new system to possess AI techniques, such as knowledge-based reasoning, machine learning, natural language processing and/or human-machine collaboration.

Although this rapid real-time aggregation of data, from wide range of digital sources, will probably have military applications, DARPA claims that it has interest in innovative approaches that extract knowledge from scientific models.

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Virginia, US, MiltechReview.com

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