I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

The brain isn't a computer—it's a dynamic, adaptable system shaped by evolution. It's emotional, contextual, and designed for ...

To transition from LLMs to AGI, we need to overcome several major limitations and introduce fundamentally new capabilities ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history evaluation, it is crucial to recognize the limitations of these models. While ...

You see, this isn't a cute techno-bumper sticker but more of a techno-warning that is surfacing in the context of today's ...