Law-to-code is the practice of translating legal rules into machine-executable algorithms such as a Python code that software ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Abstract: In complex electromagnetic environments, existing multi-target tracking algorithms often suffer from performance degradation. To address this challenge, this paper proposes a Distributed ...

Thanks to some surprising advances, mathematicians are starting to realize that artificial intelligence could radically alter ...

Compare 13 AI stock trading bots in 2026 for automated stock trading, AI signals, backtesting, quant strategies, and smarter ...

You’ve watched the market move while you slept — and missed it. You’ve heard that hedge funds and algorithm traders are consistently on the right side of trades, not because they’re smarter, but ...