AI and ML have significantly improved research capabilities by automating routine tasks and enhancing data analysis. Scientists are increasingly using AI in areas such as laboratory automation, ...
AI-generated research articles have been identified in Google Scholar, posing a threat to societal knowledge and public trust in science. These articles facilitate evidence hacking, allowing fake ...
AI-generated summaries of scientific studies are not only simpler and more accessible to general readers but also improve public perceptions of scientists’ trustworthiness and credibility ...
But it should also give enterprises, in particular, reassurance that their brands and IP will remain protected even when they integrate distinctive products and brand marks into AI generated media ...
Although there is still an ongoing debate on whether AI-generated text is plagiarism, this is not the only concern scientists have when it comes to handing off publication preparation to an LLM.
The company behind the model is giving the broader scientific community access to its AI, and scientists could use this tool to possibly engineer proteins to solve pressing environmental issues ...
By creating gene editors not found in nature, or optimizing existing editors, AI can improve the accuracy, effectiveness, and accessibility of gene editing.