Articles for tag: AI in Science, AI tools, Benchling, Data entry automation, OpenAI, Research Innovation, scientific productivity

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Why I Left My Job to Create AI Agents for Scientists: My Journey and Passion for Innovation

In a recent blog post, the technical co-founder of Benchling shares their transformative experience with OpenAI’s o1 model during Christmas 2025. Initially skeptical, they were amazed at how AI could now tackle complex scientific tasks, prompting a shift in their focus. They dedicated themselves to developing AI assistants specifically for scientists, recognizing that context is ...

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Revolutionizing Synchrotron Science: How AI Innovations Enhance Efficiency and Speed in Research and Analysis

The National Synchrotron Light Source II (NSLS-II) at Brookhaven National Laboratory is revolutionizing research with the integration of artificial intelligence (AI) and machine learning (ML). These technologies streamline workflows, enhance productivity, and provide real-time data analysis, enabling scientists to efficiently manage complex experiments. Advanced AI tools help detect anomalies during experiments, automate repetitive tasks, and ...

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Accelerating Drug Discovery and Development with LLMs: Innovations in Research and Technology

Artificial intelligence (AI) agents are advanced systems that combine large language models (LLMs) and other AI tools to efficiently tackle tasks in research and development. At Merck Research Labs, these AI agents serve as valuable assistants, enabling researchers to manage vast data sets and automate repetitive tasks. This technology not only enhances human capabilities but ...

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Revolutionizing Mental Health Research: The Impact of AI-Driven Simulations on Understanding and Treatment Approaches

Generative agents are advanced simulations that mimic human behavior to better understand how social and environmental factors affect mental health. A recent study highlights their potential to transform mental health research by exploring complex interactions, such as those between urban living conditions, pollution, and mental well-being. Unlike traditional methods that often overlook the interplay of ...

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