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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

Linearizing Binary Optimization Problems Using Variable Posets for Ising Machines

Abstract: Ising machines are next-generation computers expected to efficiently sample near-optimal solutions of combinatorial optimization problems. Combinatorial optimization problems are modeled as ...

Why AVUV ETF Shines In The Small-Cap Value Space

Avantis U.S. Small-Cap Value ETF targets cheap, profitable small caps for strong risk-adjusted returns. Read the full ...

AI framework flaws put enterprise clouds at risk of takeover

Two "easy-to-exploit" vulnerabilities in the popular open-source AI framework Chainlit put major enterprises' cloud ...
CSO Online

Flaws in Chainlit AI dev framework expose servers to compromise

Security researchers uncovered two vulnerabilities in the popular Python-based AI app building tool that could allow ...
IEEE

Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting

Abstract: Power system networks are often modeled as homogeneous graphs, which limits the ability of graph neural network (GNN) to capture individual generator features at the same nodes. By ...