
RETNET: Challenging the Inference Cost of Transformer Based Language Models
We all love our new best friend – the large language model. However, this friendship can be a costly one due to the high price
We all love our new best friend – the large language model. However, this friendship can be a costly one due to the high price
Introduction In the realm of pharmaceutical research, the quest to unlock groundbreaking insights often requires navigating through a vast sea of diverse data modalities. Imagine
In a new paper, researchers at IBM Research recently presented a novel approach to retrosynthesis. In chemical synthesis, the retrosynthesis problem involves determining the optimal
Molecular docking is a critical task in drug design, as it involves predicting the binding structure of a small molecule ligand to a protein. Traditional
RFDiffusion is a new method for protein design that leverages the power of denoising diffusion probabilistic models (DDPMs) to generate protein sequences and protein structures. This
Molecular docking tools are commonly used in drug discovery to computationally identify new molecules through virtual screening. However, these tools often suffer from inaccurate scoring
I thoroughly enjoyed meeting Andreas Bender at the recent BioTechX conference in Basel. He gave a very honest and thought-provoking presentation on a series of papers released
In the past two months, DALL·E 2 has taken over the internet. From Bart Simpson edited into Egyptian art to Donald Trump as the Lorax, text-to-image AI
The history of chemistry has been epitomized by individual chemists coming up with hypotheses, running experiments at lab-scale, and producing discoveries. But in 2022, chemistry