…will allow Lilly to leverage OpenAI's generative AI to invent novel antimicrobials to treat drug-resistant pathogens.

…describe the generation of a new green fluorescent protein (GFP)…responsible for the glowing colors of jellyfish and corals, and are important tools in modern biotechnology. esmGFP, our new protein, has a sequence that is only 58% similar to the closest known fluorescent protein. From the rate of diversification of GFPs found in nature, we estimate that this generation of a new fluorescent protein is equivalent to simulating over 500 million years of evolution.

https://venturebeat.com/ai/alter3-is-the-latest-gpt-4-powered-humanoid-robot/

Molecular modeling, a central topic in quantum mechanics, aims to accurately calculate the properties and simulate the behaviors of molecular systems. …introduce a novel Transformer-based molecular model called GeoMFormer… two separate streams are developed to maintain and learn invariant and equivariant representations…Extensive experiments are conducted to demonstrate the power of GeoMFormer.

The classical computers or servers are used for preprocessing in the development of quantum algorithms and circuits and for postprocessing to manage the errors, improve the results, and complete the processing task…AI could also enhance quantum computing capabilities and several companies are working towards achieving this goal.

...the PillBot, is an ingestible robotic capsule equipped with cameras, sensors, and wireless communication capabilities, allowing doctors to examine the gastrointestinal tract with unprecedented precision and control.

Researchers are increasingly turning to organ-on-a-chip technology for drug testing and other applications.

AI can sift through hundreds of thousands of genome data points to identify potential new therapeutic targets….SQUID works by first generating a library of over 100,000 variant DNA sequences.

These models are a fraction of the size of their LLM counterparts and yet, on many benchmarks, can match or even outperform them in text generation.

AI-powered non-player characters or NPCs that don’t need a script could make games—and other worlds—deeply immersive.

…machine-learning model accurately identifies all Parkinson patients and classifies 79% of the pre-motor individuals up to 7 years before motor onset by analysing the expression of eight proteins…specific blood panel indicates molecular events in early stages and could help identify at-risk participants for clinical trials aimed at slowing/preventing motor Parkinson’s disease.