Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

AI may learn better when it’s allowed to talk to itself. Researchers showed that internal “mumbling,” combined with ...

Autonomous agents will soon run thousands of enterprise workflows, and only organizations with unified, trusted, context-rich data will prevent chaos and unlock reliable value at scale.

Allowing AI to talk to itself helps it learn faster and adapt more easily. This inner speech, combined with working memory, lets AI generalize skills using far less data.

Software architecture has long faced the problem of operating within system boundaries where specific requirements dominate: ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

With firms looking increasingly unable to buy more memory chips, squeezing every last drop of performance from existing ...

The Northern Territory’s Acacia e-health project is just one example of the ridiculous nature of forecasting governance.

Indian students face challenges with SAT and ACT exams. Strong school grades do not guarantee success. The tests require critical thinking, interpretation, and application skills. Technical English, ...