I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

A new approach to financial risk management combines ensemble machine learning algorithms with traditional financial theory to enhance systemic risk prediction. By integrating data-driven modeling ...

The regulation also requires students to learn how to use common data labeling tools, solve issues like incomplete or inaccurate data, understand key machine learning algorithms such as classification ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

The Smart-VS EVO new series of highly advanced sensors represents a new benchmark in the world of industrial sensing technology. A combination of powerful AI algorithms helps redefine a new frontier ...

In the healthcare research community, Internet of Medical Things (IoMT) is transforming the healthcare system into the world of the future internet. In IoMT enabled Computer aided diagnosis (CAD) ...

Experimental data from a patent were analyzed to learn about the small molecule additives that were most effective in mitigating the degradation of polyethylene terephthalate. Two sets of molecular ...

Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...