Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Spotting a needle in a haystack is easy compared to Yuejie Chi's typical day.As a leading researcher on the underpinnings of large language models ...

Enterprise AI startup Kumo is making the case that the next phase of enterprise AI will be shaped by structured and ...

Communities worldwide rely on reservoirs for drinking water, hydroelectric power, irrigation, and more. These critical freshwater resources are affected by seasonal and long-term changes; water levels ...

Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of ...

As a drug moves through research and regulatory processes, any mistakes in the data will be compounded. Small gaps that a ...

SANTA CLARA, CA - April 01, 2026 - - As machine learning adoption continues to expand across industries, the demand for ...

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...

In December, The Conversation hosted a webinar on AI's revolutionary role in drug discovery and development. Science and ...

AI teams are often called fast-moving. The output can be fast, yet the route to reliable outcomes is slower, iterative and full of uncertainty. Agile ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

Here are eight interconnected pillars that an organization can use to achieve a responsible and value-driven approach to AI ...