AI language models struggle with basic hospital data tasks, study finds

A new study finds that large language models (LLMs), used with straightforward prompting, perform poorly on routine ...

How Quantum Computing Can Solve Energy And Climate Challenges

Quantum computing promises to reshape energy by enabling advanced simulations and accelerating materials discovery for carbon ...

The Hidden Mechanics of Trading: What Really Drives Market Decisions

In the world of modern finance, trading is often portrayed as a game of precision—charts, algorithms, indicators, and ...

Quantum Breakthrough: New Algorithm Solves “Impossible” Materials in Seconds

A new quantum-inspired algorithm is reshaping how scientists approach some of the most complex materials known, enabling ...
IEEE

Research on the Application of Deep Learning Algorithm in the Damage Detection of Steel Structures

Abstract: This study introduces a novel Convolutional Long Short-Term Memory (ConvLSTM) network for steel structure damage detection, aimed at enhancing the accuracy and reliability of structural ...
IEEE

A Data-Driven Evolutionary Algorithm for Dynamic Vehicle Routing Problems With Time Windows Under Limited Computational Time

Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...
insurancebusinessmag

Marsh McLennan Agency tackles complexity with data, platforms and targeted AI investment

For Luke Solomou (pictured), Marsh McLennan Agency’s (MMA) chief operating officer, the mandate for company-wide digital transformation is clear: simplify the operating model while unlocking ...