Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Antibiotic resistance is turning routine infections into life threatening events, and the traditional pipeline for new drugs ...

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

AI optimizes chromatography by enhancing method development, peak detection, and data interpretation, leveraging large datasets for improved accuracy and efficiency. ML models surpass traditional ...

Surface waves have proven to be valuable instruments in subsurface investigation, finding applications in diverse fields such as hydrocarbon and mineral resource exploration. The computation of ...

The early stage pathogens of plant diseases have the characteristic of low concentration and difficult detection, which exacerbates the difficulty of tracing the disease, leading to rapid spread and ...

ABSTRACT: This study reviews and integrates literature on the use of predictive analytics to support financial decisions and the management of risks. The research employs the approach of a literature ...

This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this end, an ...