From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

Predictive algorithms help retailers leverage historical data and trend analysis to forecast future product demand with greater accuracy. Retailers forecast ...

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

PRESSADVANTAGE – netpulse AG, a Swiss digital marketing agency, has expanded its artificial intelligence capabilities to ...