LABBench2 is introduced as an improved benchmark for evaluating AI systems performing biology research, evolving from the original LAB-Bench. It aims to measure real-world capabilities in useful scientific tasks, moving beyond basic knowledge and reasoning, and comprises nearly 1,900 tasks.
This content explores the evolution of artificial intelligence to act as an "AI co-scientist", assisting researchers in various stages of the scientific process. It discusses AI's potential to accelerate discoveries and transform research methodology.
This content introduces an AI acting as a "co-scientist" that is profoundly transforming various fields. Artificial intelligence is redefining the approach and outcomes of scientific research.
LLM-based agents are increasingly used in scientific data analysis, but risk generating plausible analyses optimized for publishable positive results. This paper proposes that non-experimental claims produced with agentic assistance be evaluated under a falsification framework to ensure scientific rigor.
Clare Bryant uses Co-Scientist to identify genetic triggers in emerging infectious diseases.
