Research
MIT AI Model Detects Atomic Defects in Materials
MIT News AIhigh confidence
Why it matters
- →This research enhances the ability to optimize materials in industries like semiconductors and solar cells, potentially leading to better product performance.
MIT researchers have developed an AI model that classifies and quantifies atomic-scale defects in materials using noninvasive neutron-scattering data. This advancement allows for the detection of multiple defect types simultaneously, improving material performance without damaging the samples.
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Red-teaming AI agent networks reveals new vulnerabilities
Microsoft Research explores vulnerabilities in networks of AI agents, highlighting risks that emerge only through interaction. Their tests reveal how malicious messages can propagate and manipulate agent behavior.
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