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Amazon Science
@AmazonScience
The latest news and research from Amazon's science community. #AmazonScience
- 📣 Amazon Research Awards announces the 34 recipients of the Build on Trainium program, a $110M credit initiative supporting AI research at 30 universities on AWS Trainium:
- Training a graph neural network on multiple objectives usually means blending conflicting gradients at every step. Instead of compromising among parameter updates from different training objectives, ControlG allocates capacity to objectives sequentially and dynamically via PID
- Most healthcare AI benchmarks test static medical knowledge or evaluate tool-using agents on provider-facing tasks. PatientAgentBench generates synthetic patient records and clinical vignettes, then runs multiturn dual-agent conversations scored by an LLM-as-a-jury panel across
- As AI agents take on higher-stakes decisions, their actions need to be provably correct. Amazon is investing in the Lean FRO to make mathematical proof accessible to every developer: amzn.to/3RY2Dq4
