Tag: Computational

The inherent risks associated with AI systems, especially in applications like autonomous driving and medical diagnosis, where errors can have ...

The integration of data-intensive computational studies is vital across scientific disciplines. Computational workflows systematically outline methods, data, and computing resources. ...

In recent years, computational linguistics has witnessed significant advancements in developing language models (LMs) capable of processing multiple languages simultaneously. ...

To create proteins with useful functions, researchers typically start with a natural protein that has a desired function, like emitting ...

HuggingFace Researchers introduce Quanto to address the challenge of optimizing deep learning models for deployment on resource-constrained devices, such as ...

There are two major challenges in visual representation learning: the computational inefficiency of Vision Transformers (ViTs) and the limited capacity ...

Light is studied in two essential components:  amplitude and phase. However, optical detectors that rely on photon-to-electron conversion face problems ...

During a chemical reaction, molecules gain energy until they reach what’s known as the transition state — a point of ...

Philip N. Howard Professor of Internet Studies Oxford Internet Institute The Internet certainly disrupted our understanding of what ... source

The Oxford Internet Institute presents Professor Philip Howard's Inaugural Lecture. Abstract: The design and implementation of social media platforms has ...