Intelligence at scale requires more than data scientists; it demands operational maturity to manage the complete lifecycle of ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.

AI model crossNN identifies over 170 tumor types with high accuracy using genetic material, offering fast, non-invasive ...

Many years ago, I contributed material on Database Development and Database Operations Management to the first edition of ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more ...

In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a ...

Tipping points are the death of ecosystems. So scientists watch as warning signs gradually worsen until an ecosystem reaches ...

One example is the Autoregressive Integrated Moving Average (ARIMA), a sophisticated autoregressive model that factors in trends, cycles, seasonality, errors, and other non-static data when making ...

This article discusses the three most common reliability prediction techniques for the failure rates of ICs and how safety ...

Chinese tech firms kicked off the month with notable AI model launches, including new releases from Alibaba Group Holding Ltd ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...