The world of protein engineering just took a giant leap forward. A team in China has developed a method that makes designing better proteins faster, cheaper, and easier.

Abstract: Existing diffusion-based methods for inverse problems sample from the posterior using score functions and accept the generated random samples as solutions. In applications that posterior ...

We also prove that the two sets of Maxwell equations only depend on the non-linear elations of the conformal group of ...

Executive function describes a set of cognitive processes and mental skills that help an individual plan, monitor, and successfully execute their goals. The “executive functions,” as they’re known, ...

Jack Beresford is a Newsweek Senior Internet Culture & Trends Reporter, based in London, UK. His focus is reporting on trending topics on the Internet, he covers viral stories from around the world on ...

The enlightened truth of the role of fire in human evolution. Illustration by Paul Garland The next time you find yourself lost in thought while gazing at a fireplace ablaze or even a solitary candle ...

Abstract: Modern symbolic execution techniques face the challenge of handling closed-box (CB) functions (e.g., system calls, library functions) whose source code is unavailable. One interesting ...

Factorising is the reverse process of expanding brackets. A factorised answer will always contain a set of brackets. Factorise \(6x + 9\). To factorise this expression, look for the HCF of \(6x\)and 9 ...

This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models". This paper has been accpeted by NeurIPS 2024 ...

We propose a new method called Decoupled Annealing Posterior Sampling (DAPS) that relies on a novel noise annealing process to solve posterior sampling with diffusion prior. Specifically, we decouple ...

Professor Zhou's team provides a rigorous theoretical foundation in their paper. They demonstrate that a specific form of offline Inverse Reinforcement Learning (IRL) reward function can be recovered ...

Now that you know what \({\log _a}x\) means, you should know and be able to use the following results, known as the laws of logarithms.