Combine scalable analytics with advanced AI capabilities like LLMs and agentic tasks to create a new chipmaking platform.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

A multifractal spectrum called a weighted Cantor set model can describe how galaxies cluster, which is similar to other ...

Chinedu Eleh’s story is one of grit and transformation — from artisan apprentice in Nigeria to mathematician and researcher at ...

This concept stems from the belief that only children share certain negative characteristics. Find out how being an only ...

Introduction Cerebral palsy (CP) is a non-progressive condition involving movement and muscle tone difficulties due to injury to the developing brain. Most cases arise around birth, but a smaller ...

EADaily, March 2nd, 2026. Tomsk geneticists summed up the results of a large-scale three-year study covering the Siberian ...

Introduction Dyspnoea is an existentially burdensome symptom in patients with advanced and progressive diseases such as cancer, chronic obstructive pulmonary disease (COPD) and advanced heart failure.

“This is the lowest number of students since 2021, when Brazil recorded 46.6 million enrollments. These data deserve attention, but they need to be analyzed carefully and in light of other demographic ...

Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, caused by proliferation of residual lens epithelial cells (LECs). Metformin, a ...