Today, artificial intelligence is mostly about artificial neural networks and deep learning. But this is not how it always was. In fact, for most of its six-decade history, the field was dominated by ...
Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason, ...
Will computers ever match or surpass human-level intelligence — and, if so, how? When the Association for the Advancement of Artificial Intelligence (AAAI), based in Washington DC, asked its members ...
An alternative to the neural network architectures at the heart of AI models like OpenAI's o1 is having a moment. Called symbolic AI, it uses rules pertaining to particular tasks, like rewriting lines ...
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How AI helps solve problems it doesn't even understand
Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: ...
Military leaders must make timely, high-quality decisions on a regular basis. That process will become increasingly challenging in the fast-paced and dynamic environment of cyberspace and the broader ...
ADELPHI, Md.-- Researchers at the U.S. Army’s corporate research laboratory developed an artificial intelligence architecture that can learn and understand complex events, enhancing the trust and ...
The Intelligence We Forgot: Why indigenous and ancestral knowledge is Africa’s missing AI superpower
The global AI ecosystem has been built upon an epistemic void, a missing centre, an unacknowledged blind spot that has ...
Neuro-symbolic AI is a unique form of artificial intelligence that combines the strengths of neural and symbolic AI architectures. This powerful AI model can model cognition, learning, and reason, ...
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