Meta's open-source AI models SAM 3 and DINOv3 are powering SYNAPS-I, a flagship project under the US Department of Energy's Genesis Mission. Led by Lawrence Berkeley National Laboratory alongside Argonne, Brookhaven, Oak Ridge and SLAC, the initiative uses the two models to segment scientific imaging data from X-ray and neutron facilities in real time.

DOE light and neutron sources now generate tens of petabytes of data a year, and manual analysis can no longer keep pace. The SYNAPS-I team fine-tuned SAM 3 and DINOv3 on scientific imaging data, then deployed them across 300 A100 GPUs at supercomputing facilities including NERSC. A fully segmented 3D volume now reaches the scientist at the beamline in around 15 minutes.

The Genesis Mission, launched by the White House in late 2025 and led by DOE, aims to accelerate scientific discovery using AI, with SYNAPS-I involving 60 researchers across five national labs.

Garbage In, Garbage Faster: Why Agentic AI Exposes Your Organisational Debt
If Agentic AI follows your documented processes, what happens when those processes don’t reflect reality? Most organisations assume AI will figure things out. Business Architect Laura Van Weegen argues the opposite: AI doesn’t create new problems — it removes your ability to ignore the ones that have existed forever and a day. Undocumented workflows, undefined decision ownership, and human workarounds masking broken systems all get amplified at machine speed. You’ll learn: • Why “garbage in, garbage faster” is the real Agentic AI risk • The critical difference between feeding AI data versus information • How process debt compounds the same way technical debt does • Why exception handling is the new decision design priority • What one conversation reveals more than most AI readiness assessments • How to build explainability in from day one Key topics: Agentic AI readiness • Information architecture • Process debt • Data vs information • Contextual blindness • Decision ownership • Explainability vs traceability • Semantic infrastructure • Exception handling • Organisational accountability • Workflow documentation • AI governance Essential viewing for CISOs, CIOs, CFOs, and Chief Legal Officers evaluating Agentic AI deployment — before the human safety net disappears.
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