The Data Science and Modeling for Green Chemistry award aims to recognize the research and development of computational tools that guide the design of sustainable chemical processes and the execution ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

The tools provide advanced data intelligence, data quality, and data modeling capabilities aimed at helping customers ensure the AI readiness of their data, the company said. Quest Software has ...

Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

Meshy, a startup in the AI design space, released Meshy-4 today, its latest AI-powered 3D modeling tool. The new version offers improved mesh geometry and a redesigned workflow, aiming to change how ...

AI is great at automation, simulation, prediction and augmentation. It might even turn engineers into super-engineers but not ...

ChipAgents has introduced Renoir, an agentic large language model (LLM) whose name means “renew.” In early chip design benchmarks, Renoir outperforms the base model it was trained on and cuts costs by ...