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Neural Pathways for Memory and Logic in AI Now Mapped Separately
What if a model could forget without losing its mind?” That question now has a technical foothold, thanks to new research ...
To achieve true autonomy, AI systems must integrate both neural networks (for learning and pattern recognition) and symbolic AI (for structured knowledge and reasoning). This fusion, known as ...
BUFFALO, N.Y. — The University at Buffalo will soon offer first-of-their-kind degree programs that combine the rapidly evolving field of artificial intelligence with traditional academic disciplines, ...
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AI learns to follow predefined norms through a combination of logic and machine learning
Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a standard tool. But it is not enough for AI to simply deliver useful results: it ...
The term "reasoning" is a familiar metaphor in today's artificial intelligence (AI) technology, often used to describe the verbose outputs generated by so-called reasoning AI models such as OpenAI's ...
The field of theorem proving and higher‐order logic represents a confluence of computer science, mathematics and formal logic. It encompasses the automated and interactive approaches to establishing ...
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