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

MIT researchers have developed a new method for designing 3D structures that can be transformed from a flat configuration ...

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

The use of left-sided Impella microaxial flow pumps has expanded rapidly for the management of cardiogenic shock, left ...

As highlighted by Towards Packaging research, the global artificial intelligence (AI) in the packaging design market, valued ...

Getting good at LeetCode Java can feel like a puzzle sometimes, right? You see all these problems, and you’re not sure where ...

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...

By rethinking the mathematical models that power CT scanners and similar technologies, researchers were able to shorten the length of time needed for microwave image reconstructions from nearly an ...

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 ...

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 ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...