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, ...

As AI systems have advanced rapidly, with large language models (LLMs) at the center, every tech executive has experienced their limits—when AI systems struggle with complex problem-solving, produce ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers at the University of Texas have discovered a new way for ...

Could AI that thinks more like a human be more sustainable than today's LLMs? The AI industry is dominated by large companies with deep pockets and a gargantuan appetite for energy to power their ...

Forbes contributors publish independent expert analyses and insights. I write on the intersection of artificial intelligence, international law and finance. May 31, 2024, 07:15am EDT May 31, 2024, ...

In law school, grades are often viewed as predictors of future success: A students become law professors, B students become judges and C students become millionaires. But the adage may need updating.

The recent commercial AI revolution has been largely driven by deep neural networks. First invented in the 1960s, deep NNs came into their own once fueled by the combination of internet-scale datasets ...

Neuro-symbolic AI integrates networks' adaptability and learning capabilities with AI's interpretability and rule-based reasoning. Neuro-symbolic AI is an interdisciplinary field that merges symbolic ...