Foundation Models and Scientific Discovery

The field of scientific research is undergoing a significant transformation with the advent of foundation models (FMs). These models are not only accelerating tasks such as hypothesis generation and result interpretation but also redefining the way science is conducted. A new scientific paradigm is emerging, one that integrates human and AI collaboration, enabling autonomous scientific discovery with minimal human intervention. This shift is driven by the increasing capabilities of FMs to operate as independent agents, generating new scientific knowledge and identifying latent connections across disciplines. Noteworthy papers in this area include: Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition, which introduces a framework to describe the evolution of FMs in scientific research. Small Language Models Offer Significant Potential for Science Community, which demonstrates the feasibility of using small language models for precise and cost-effective information retrieval from extensive scientific literature.

Sources

Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition

Publication Trend Analysis and Synthesis via Large Language Model: A Case Study of Engineering in PNAS

Shifting 'AI Policy' Preprints and Citation Trends in the U.S., U.K and E.U., and South Korea (2015-2024)

Small Language Models Offer Significant Potential for Science Community

The Risks of Industry Influence in Tech Research

Real Deep Research for AI, Robotics and Beyond

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