CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Researchers at Tsinghua University have created a rapid, label-free method using polarized light detection to identify and ...

Red blood cells are essential for oxygen transport and immune function in the human body. When these cells become abnormally shaped, they can indicate ...

Broadcom enters 2026 at an inflection point, with strong tailwinds from its ASIC and Networking segments. Read why AVGO stock ...

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...