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- Science | AAAS
Science AAAS peer-reviewed journals deliver impactful research, daily news, expert commentary, and career resources
- Science Journal - AAAS
Science is the leading multidisciplinary, international journal of peer-reviewed research including analysis and news coverage of breakthroughs and policy
- Contents | Science 391, 6792
COVER New research shows that artificial intelligence (AI) models overly affirm and validate users, even when users propose harmful or illegal actions The resulting effect on users is notable: Receiving advice from affirming AI made people more self-centered and less able to see the perspectives of others Yet people prefer the overly affirming AI, which may further promote this behavior in
- Science Family of Journals | AAAS
Science Partner Journals Advanced Devices Instrumentation The Open Access journal Advanced Devices Instrumentation, published in association with BIACD, is a forum to promote breakthroughs and application advances at all levels of electronics and photonics
- NEWS FROM SCIENCE - AAAS
Authoritative, up-to-the-minute news and in-depth features on research advances and science policy, from award-winning science journalists
- First Release | Science
First Release Selected Science papers are published online ahead of print Some editorial changes may occur between the First Release version and the final printed version
- Contributing to the Science family of journals
Why Publish With Science? The Science journals are among the most highly-regarded journals in the world for quality and selectivity Our team is committed to publishing the best in science, at the highest editorial standards, from all countries, on all fronts Our success stems from the community of scientists who work with us as editors, reviewers and authors, and who provide cutting-edge
- Science’s 2025 Breakthrough of the Year: The unstoppable rise of . . .
Fittingly, it was named Science ’s 2021 Breakthrough of the Year —and won a share of the 2024 Nobel Prize in Chemistry for its creators Few imagined that general-purpose large language models (LLMs), trained on trillions of words and optimized simply to regurgitate humanlike text, might follow suit
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