TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.

Aramco is using autonomous AI at Fadhili Gas Plant to boost efficiency and streamline operations, with plans to expand across ...

Choosing the right AI chatbot depends heavily on your specific needs, workflow, and budget. In 2025, the AI landscape has evolved dramatically, ...

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 ...

Bioprocess modeling is undergoing a transformative phase with the advent of digital technologies like artificial intelligence (AI) and machine learning ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Zencoder believes its agent-agnostic approach gives it a crucial advantage over much bigger rivals such as OpenAI, Anthropic ...

Bioprocessing data is often scattered across electronic laboratory notebooks (ELNs), laboratory information management systems (LIMS), instruments, spreadsheets, and legacy systems that don’t talk to ...

Go fully offline with a private AI and RAG stack using n8n, Docker, Ollama, and Quadrant, so your personal, legal or medical ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Data management is the process by which businesses gather, store, access and secure data from business software solutions. Here’s what you need to know.