In the world of artificial intelligence, keeping systems secure is a big deal. One method that's gaining traction is called Randomized Smoothing. It's all about making AI models more robust against sneaky attacks. Recently, using multiple Deep Neural Networks together has shown great results. But, there's a catch. It's super expensive in terms of computation. Plus, t...

Large language models (LLMs) are crucial for modern businesses. They power advanced services but come with high computational costs. This is where the chain-of-experts (CoE) framework steps in. It makes LLMs more efficient and accurate. The CoE framework tackles the limitations of earlier methods by activating "experts" sequentially. These experts are specialized pa...

Imagine trying to find the best way to organize a massive party where everyone knows each other, but no one wants to be in the same group as their friends. This is similar to the maximum independent set problem in graphs, a big challenge in optimization. Scientists have been exploring a new way to tackle this problem using something called a coherent Ising machine (...

Imagine hiding a book inside a book. Now, imagine hiding a book inside an image, and then hiding that image inside another image. That's the idea behind a new method for keeping data safe. In today's world, keeping information safe is a big deal. With so many devices connected to the internet, there are plenty of opportunities for sneaky types to try and steal data....

Imagine you're trying to figure out how well a crystal can conduct heat. Traditionally, scientists use complex calculations called first-principles to predict this property, called lattice thermal conductivity (LTC). These calculations need a lot of computational power, especially when you want to explore many materials at once. To make things more efficient, resear...