AkzoNobel, a global leader in paints and coatings, and Albert Invent, who is building the future of chemistry R&D, recently announced an AI transformation partnership with AkzoNobel’s global R&D organization.
Siemens and HighByte have joined forces to solve industrial data fragmentation. HighByte's Intelligence Hub connects OT and IT data sources to help manufacturers build and scale industrial AI applications.
On-Demand | Explore how AI-driven materials informatics is reshaping polymer development, as industry leaders reveal practical strategies for scaling digital platforms and accelerating innovation.
As discovery accelerates and throughput rises, digital transformation is becoming essential for chemistry labs. AI, robotics, and data growth must be orchestrated to boost productivity—rather than overwhelm the lab.
AI and evolving regulations set to transform biopharma operations in drug development and quality.
On Demand | Learn how digitalization can increase energy and resource efficiency in plant operation in the chemical industry.
Inventory, significance and solutions for the process and chemical industry
Ensure Safety, Control Costs. Optimize Your Process With Hamilton's Smart Oxygen Sensors.
Digital processes in hazardous areas? Durabook's rugged tablets are ATEX-certified for industrial use.
Scientifica Venture Capital, in collaboration with the Institut des Relations Economiques France-Italie (IREFI), has unveiled the winners of the Super Sapiens Europe initiative.
Chemical producers in Germany are grappling with rising costs, high energy prices, global competition, and an impending knowledge gap due to demographic shifts. Kuraray, a global leader in specialty chemicals, is addressing these challenges with a comprehensive digitalization strategy.
John Banovetz, Chief Technology Officer at 3M, on the role of digital transformation in realizing the company's goals.
Artificial intelligence (AI) has made groundbreaking progress in recent years, particularly through innovations in machine learning and neural networks. These developments are largely driven by deep learning technologies, which enable the recognition of complex data patterns and the achievement of human-like performance in areas such as speech recognition, image processing, and decision-making.
