For years, we have watched large language models (LLMs) capture our imagination. ChatGPT writes emails, Gemini provides ...

Companies can gain a competitive edge with neurosymbolic AI by using the technology’s predictive power to enhance forecasting ...

For decades, artificial general intelligence (AGI) has represented the holy grail of AI research, yet despite rapid progress, ...

Learn about the ethical considerations for governing autonomous intelligence and scaling agentic AI. Understand the ...

New research shows large language models rival humans in learning logic-based rules, reshaping how we understand reasoning.

As inference proliferates to edge servers and endpoints, memory solutions must balance performance, cost, and power ...

A $5 million AI system can earn $75 million in tokens. Inference is now the engine of AI — and Blackwell leads the charge.

Neurosymbolic AI bridges this gap. Symbolic reasoning enables the system to represent knowledge using logic-based rules, ...

The Journal of Symbolic Logic (JSL) was founded in 1936 and it has become the leading research journal in the field. It is issued quarterly. Volume 71, being published during 2006, will consist of ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

On Wednesday evening, The Wall Street Journal revealed a striking detail about the president’s September 20 Truth Social post ...