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New AI tools generate hypotheses, design experiments, and find patterns in data—transforming how scientists make discoveries across every field.

New AI tools generate hypotheses, design experiments, and find patterns in data—transforming how scientists make discoveries across every field.

Two models working together perform worse than one alone, exposing a critical gap in artificial intelligence capabilities.

From designing new antibodies to simulating 1,000 years of climate in a day, AI is transforming what's possible—but humans remain the ones deciding what matters.

The first large-scale study of hiring algorithms in the wild finds concerning patterns to how systems reject candidates.

Leveraging statistical concepts from measurement science and education, AI researchers have greatly reduced the computational demand of predicting how the largest of large language models will scale up in the future. It could save millions of dollars in training costs.

The new center will examine AI's real-world impacts on jobs, teams, and organizational performance.

More than 200 academic teams submitted proposals to the AI for Organizations Grand Challenge, exploring how artificial intelligence will transform teamwork and collaboration.

Biomni can analyze mountains of medical data, spot patterns humans might miss, and even design experiments—helping researchers make discoveries faster in the race to cure disease.

Stanford students across disciplines are teaming up to tackle society’s pressing questions in the age of AI.

PsychAdapter lets researchers dial in on personality traits, age, and mental health characteristics to generate text that sounds like real individuals, opening the door to training simulations and personalized content.

In a new study, scholars measured how accurately popular AI chatbots answered questions about the emerging news and found substantial regional disparity, dependence on distinct information ecosystems, and acute fragility under imperfect prompts.