Previously, financial firms relied on intuition that had been honed over years of exposure to the market. Today, many have ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

A newly enacted New York law requires retailers to say whether your data influences the price of basic goods like a dozen eggs or toilet paper, but not how. If you’re near Rochester, New York, the ...

Abstract: This paper introduces an online approach for identifying time-varying subspaces defined by linear dynamical systems. The approach of representing linear systems by non-parametric subspace ...

School of Physics and Optoelectronics, Xiangtan University, Xiangtan, Hunan, China Accurate reconstruction of optical fiber curves has important applications in fields like medicine, aerospace, and ...

We're not sure they ever worked correctly, but it's possible #17028 broke them entirely. We should confirm. I have not however been able to come up with a reasonable example, recursive queries are not ...

TextRankingTool-Mac-v1.0-Complete/ ├── Intel/ # For Intel Macs (2020 and earlier) │ └── TextRankingTool # Executable for Intel Macs ├── AppleSilicon/ # For Apple Silicon Macs (M1/M2/M3) │ └── ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the way Game of Thrones crashed and burned in its eighth and ...

MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

Large Language Models (LLMs) benefit significantly from reinforcement learning techniques, which enable iterative improvements by learning from rewards. However, training these models efficiently ...