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 structure prediction.

Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency details but ...

The change is part of a deal to bring TikTok under U.S. ownership to avert a looming ban. By Emmett Lindner and Lauren Hirsch The software giant Oracle will oversee the security of Americans’ data and ...

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 ...

Abstract: This paper is the first to consider the optimization of a microstrip modal filter (MF) using three metaheuristic global optimization algorithms based on deterministic and probabilistic ...

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 ...