By using AI and IoT, manufacturers can now spot issues early, which stops downtime and keeps machines running longer.

In today's AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast ...

Meta’s Video Joint Embedding Predictive Architecture 2 (V-JEPA 2) is a significant advancement in Artificial Intelligence (AI ...

As the impacts of climate change intensify globally, the built environment is increasingly vulnerable to climate-induced hazards, most notably flooding.

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Predictive toxicology is a crucial field that focuses on assessing the potential toxic effects of chemical compounds, playing an essential role in drug ...

Water is a resource essential for life, as valuable as it is limited. For this reason, and especially in contexts of water ...

A new 3D simulation tool developed by ETH and SLF researchers now allows for significantly more accurate predictions of ...

Key Points Predictive analytics allows for proactive decision-making, as opposed to reacting when things go wrong. Utilizing AI is just one way organizations can supercharge their predictive modeling ...

Total interpretive structural modeling (TISM) constructs a hierarchical structure with interpretations of nodes and interrelationship links. While TISM performs qualitative research when conceptual ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

The aim of this article is to develop a deep latent variable predictive modeling framework, which is based on a newly designed Bayesian soft attention mechanism. Instead of only using extracted ...