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.
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
Avani Lakkireddy is a sophomore using data analytics to find patterns and model behavior in college and professional sports ...
This study highlights how antipsychotic prescribing in dementia is discordant with current NICE guidelines on both duration ...
Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...
A big new study suggests that certain genetic traits—like insomnia risk and neuroticism—may make depression harder to treat, ...
Tech Xplore on MSN
AI scaling laws: Universal guide estimates how LLMs will perform based on smaller models in same family
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...
There are also trade-offs in creativity. Because the energy critic favors low-energy (i.e., high-probability) text, the model ...
Intuit on MSN
6 steps to train an AI model to do whatever you want
A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
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