A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
Amazon Web Services has introduced Strands Labs, a new GitHub organization created to host experimental projects related to agent-based AI development.
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...
TakeProfit has introduced a browser-based strategy backtesting module within its cloud trading platform, adding new ...
Abstract: Analytical-Based placement algorithms consistently deliver high-quality solutions in global placement. One common approach for global placement is minimizing the half-perimeter wirelength ...
Abstract: This paper presents a novel neural network-based optimization framework, NNDE, to solve the traveling salesman problem (TSP). The core idea is to use a radial basis function network (RBFN) ...
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Moving from quantitative analysis to automated decision making
Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.
If you had walked onto a trading floor thirty years ago, you would have heard noise before you saw anything. Phones ringing, ...
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