Overview Data engineers build the pipelines and systems that collect, clean, and organize information for analysis.Data scientists use that organized data to un ...

In an ideal world, an AI model looking for new materials to build better batteries would be trained on millions or even ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

Shilpi Yadav is a data science expert who uses data empathy and disciplined design to create robust, scalable frameworks that ...

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

Today, the Chan Zuckerberg Initiative (CZI) and NVIDIA announced an expanded collaboration to accelerate life science research by driving development and adoption of virtual cell models through tools, ...

Overview AI agents automate repetitive workflows, empowering data scientists to focus on strategic, high-value ...

Placing data centers in space could pave the way for sustainable computing with unlimited solar energy and free cooling, say ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

Founded by former xAI staffer Eric Zelikman and early Googler Georges Harik, the new lab is building models that are better ...

GPU semiconductor factory, Jensen Huang’s roadmap connects data centers, networks, and industrial systems into a ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what they have learned to make ...