Argonne: Building Scientific Computing Ecosystems for AI-Enabled Discovery
<p>Trustworthy AI-enabled scientific discovery depends on software, people, institutions and community action. Oct. 1, 2026 — Artificial intelligence (AI) is changing scientific computing rapidly. AI systems can now generate and analyze code, synthesize information, assist with hypothesis generation and carry out complex reasoning tasks within scientific workflows. Alongside advances in computing architectures and data-intensive research, […]</p>
<p>The post <a href="https://www.hpcwire.com/off-the-wire/argonne-building-scientific-computing-ecosystems-for-ai-enabled-discovery/">Argonne: Building Scientific Computing Ecosystems for AI-Enabled Discovery</a> appeared first on <a href="https://www.hpcwire.com">HPCwire</a>.</p>
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