HOUSTON, TX, UNITED STATES, February 13, 2026 /EINPresswire.com/ -- As a global leader in online competitive events, ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Rotation from growth to value is underway, with value and dividend portfolios strongly outperforming the S&P 500 and Nasdaq ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Frontier models such as OpenAI's GPT depend mostly on increasing computing power rather than smarter algorithms, according to a new MIT report. Here's why that matters.

Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...

When scientists test algorithms that sort or classify data they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm’s output matches reality.

1 Department of Computer Science & Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 School of Business, Bangladesh Open University (BOU), Dhaka, Bangladesh. This experimental study ...

Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.

Distinguished delegates, colleagues and friends, Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the wrong order.” Today, we know, the ...

Join us for a deep dive into the world of factor risk models, the essential tools for predicting portfolio volatility, optimising your investments, and understanding risk and return. This webinar will ...