The Stanford Daily

Research Roundup: Brain degeneration, machine learning for identifying diseases and AI-generated genetic code

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...
GEN

Machine Learning Engineers Bespoke Cas9 Enzymes for Gene Editing

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...
BIOENGINEER

Nature-Inspired Algorithms Reshape Cloud Task Scheduling, Review Finds

A new review maps the evolution of cloud task scheduling algorithms, from classical heuristics to nature-inspired ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
EurekAlert!

Chip design with machine learning: a survey from algorithm perspective

This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...