Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

Hatim shared details about his journey - from his beginnings in mechanical engineering in Mumbai to leading machine learning ... reduction, and ensemble learning methods have been extremely ...

Abstract: Machine learning (ML ... We propose a SAT-based approach for learning optimal BDDs that exhibit perfect accuracy on training data. We also explore heuristic methods for computing suboptimal ...

Want more charts like these? See our charts on the secrets of the jobless recovery, the richest 1 percent of Americans, and how the superwealthy beat the IRS. How Rich Are the Superrich? A huge sh ...

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Abstract: Fast and reliable solvers for optimal power flow (OPF) problems are attracting surging ... Based on this NN, the worth-learning data generation method can identify feasible samples that are ...