Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...

Artificial intelligence continues to astonish the world with its expanding, awe-inspiring capabilities. But, beneath t ...

Inverse residual variance (IRV) weighting reduces noise and improves factor performance. Country and industry betas replace ...

AI has the potential to solve major challenges, from medical diagnoses to weather prediction. But its growth is not without ...

Integrating data and models is essential for advancing our understanding and management of water resources in an era of rapid ...

Tesla Model Y reliability just hit rock bottom in Germany’s TÜV Report 2026, with the worst defect rate in a decade. Here’s ...

Amazon ( AMZN) will invest $50 billion to grow its AI offerings for the US government, the company said on Monday. The ...

In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...

Boosting real-time data and analytics capabilities is a top priority for business leaders looking to gain competitive advantage through faster insights and decision-making. However, many organizations ...

Top Chinese firms are training their artificial intelligence models abroad to access Nvidia's chips and avoid U.S. measures ...

Splitero reports that automated valuation models (AVMs) quickly estimate property values using data, offering speed and affordability over traditional appraisals.