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A temporal-aware fusion strategy boosts Alzheimer's diagnosis accuracy, leveraging noisy MRI data more effectively than traditional methods.
PATH revolutionizes data indexing by achieving up to 7.8x higher throughput and drastically reducing latency through in-memory operations.
LLMs can reveal the hidden intent behind fraudulent connections, boosting graph fraud detection even when fraudsters actively camouflage their activities.
LLM-based vulnerability repair can be significantly improved by focusing on root cause analysis, leading to more robust and less superficial patches than current methods.
Forget tedious manual workflows: LLMs can now autonomously generate editable, engine-native 3D cutscenes by intelligently orchestrating animation, cinematography, and sound design.
