A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Microsoft has released open-source Quantum Development Kit tools for chemistry and error correction, with VS Code integration ...

Single-cell analyses have emerged as powerful tools for studying cellular heterogeneity and gene regulation. Single-cell chromatin accessibility sequencing (scCAS) is a key technology that enables the ...

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

The Engineering Science MS with a course focus in Data Science offers students a comprehensive education in big data and analysis. Students gain knowledge, expertise, and practical training in various ...

In order to maintain a strong, diverse and substantial pool of applicants, our tuition rate is designed to make us competitive, especially with our peer institutions. While many students complete the ...

The master of science in data science program only admits students for the fall semester. Applicants are encouraged to apply earlier than the Feb. 1 deadline because space is limited in the program, ...

In the United States, the share of new code written with AI assistance has skyrocketed from a mere 5% in 2022 to a staggering ...

Generative AI is reshaping software development—and fast. A new study published in Science shows that AI-assisted coding is ...

When Nick Goldman first opened the package, he couldn’t quite believe that it contained anything at all, much less all of Shakespeare’s sonnets. The parcel had come from a facility in the US and ...

Electronic and spintronic devices are devices that use the properties of electrons to transmit, process and store information. Electronic devices use the electrical charge of an electron to encode ...