S&P 500 concentration risk is surging—top 10 now 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Commonly associated with the financial sector, particularly cryptocurrencies, blockchain technologies have expanded into a ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

WebFX reports that AI can enhance social media strategies through automation, targeted ads, and customer engagement, boosting ...

Abstract: In this study, an optimal output feedback tracking control approach with a Q-learning algorithm is presented for Takagi–Sugeno (T–S) fuzzy discrete-time systems with immeasurable states.

This project includes two Rubik's Cube solvers, an optimal solver, and a Two-Phase / Kociemba's algorithm solver. The optimal solver takes an average of around 60 seconds to find a minimal length ...

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...

Decentralized finance (DeFi) is a revolutionary shift in the financial landscape, offering a blockchain-based system that facilitates transactions without relying on traditional intermediaries like ...