As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

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

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

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

Researchers found that cutting the vagus nerve in mice reduced dopamine activity and lessened the frequency of reward ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Meaning doesn’t stay inside individual brains. Shared attention and language allow meaning to become symbolic, social, and ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

A new platform, Moltbook, claims to host 1.4 million AI agents in a closed society. Discover why this 'hive mind' signals a ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...