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OpenClaw, an open-source AI agent project, and Moltbook, a bot-only social network, have surged in popularity since late 2025, attracting commentary from AI leaders.

New AI method learns from relationships, not data, using knowledge graphs to overcome scarce samples, improving predictions medicine, science, and engineering with human-like contextual understanding.

Tired of AGI leaderboard illusions? A data scientist reveals the real test: can it invent Bitcoin in 2007, teach quantum physics in Swahili, and know when to ask for help?

Geometry-Informed Neural Networks (GINNs) transform shape generation by using geometric constraints and neural fields, enabling data-free training and diverse solutions across computer graphics, engineering, and medical imaging.

Discover how lightweight graph models predict online purchases up to 180 times faster than heavy deep learning algorithms, outperforming complex neural networks with simple efficiency.

What if AI evolved by optimizing what code actually means, rather than just tweaking syntax? Discover how Semantic Genetic Programming revolutionizes the future of AI.

MIT has introduced Tyche, a pioneering framework for medical image segmentation that leverages stochastic learning to enhance diagnostic accuracy and reduce the need for retraining, transforming healthcare practices.

Internal embodiment, combining physical interaction and self-awareness of internal states, could improve safety and trustworthiness of future AI systems.