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AI

Bringing analytic rigor to agentic AI for science: The Brain Researcher platform for neuroimaging data analysis

A new platform called Brain Researcher has been developed to improve the rigor of artificial intelli...

Aug 21 🗳️ 0
AI

Spike-based Belief Propagation in Nonlinear Dynamical Systems

Researchers have developed a brain-like control algorithm that uses spike-based dynamics to make dec...

Aug 21 🗳️ 0
AI

A Strong Linear Baseline for Whole-Heart Cardiac Shape Completion on CT, with an Open Eleven-Structure Statistical Shape Model

Researchers have developed a statistical shape model for the heart that can be used to complete miss...

Aug 21 🗳️ 0
AI

Learning Early-to-Final Solution Consistency for MILP Acceleration

Researchers have proposed a new approach to accelerate Mixed-Integer Linear Programming (MILP) solvi...

Aug 21 🗳️ 0
AI

Rethinking Patch Based Multivariate Time Series Forecasting with Semantic Structured Partitioning

Researchers propose a new framework called SCPaT for multivariate time series fo...

AI

ReguSim: Evaluating LLM Agent Rule Grounding in Financial Compliance

Researchers have developed ReguSim, a controlled environment for testing the abi...

AI

Optimal Skill Selection for LLM Agents with Provable Bicriteria Guarantees

Large language model (LLM) agents acquire task-specific capabilities by loading ...

AI

ExPhy: A Benchmark for Explicit Physical Property Learning in Multi-Object Trajectory Forecasting

Researchers have created a new benchmark called ExPhy to help evaluate AI models...

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