It enhances prediction accuracy by extensively sampling inverse folding models—AI models that generate compatible amino acid sequences based on protein 3D structures—while incorporating ...

This review explores how generative AI, through models like VAEs, GANs, transformers, and diffusion networks is ...

By integrating tree-thinking strategies into curricula, educators can foster a more nuanced understanding of evolutionary processes, bridging the gap between traditional textbook representations ...

Google DeepMind, Google's AI research team, announced the coding agent ' AlphaEvolve ' on Wednesday, May 14, 2025. AlphaEvolve is an AI agent that combines Gemini and evolutionary algorithms, and ...

Decision Tree: A tree-structured model used for classification and regression in which internal nodes represent tests on attributes and leaf nodes represent outcome labels.

En-Roads involves users adjusting different policy levers to predict future outcomes, but in place of such a trial-and-error-based approach, Miikkulainen’s team is working towards allowing users to ...

Japanese AI lab Sakana AI has introduced a new technique that allows multiple large language models (LLMs) to cooperate on a single task, effectively creating a “dream team” of AI agents. The ...

In a move that could reshape how enterprises deploy AI, Japanese research lab Sakana AI has introduced TreeQuest, an open-source framework built on a novel technique that allows multiple large ...