A study published in the journal PLOS Digital Health has analysed ChatGPT's performance on the US Medical Licensing Exams (USMLE). The results indicate that it could pass or come close to passing the exam.
Nature's ban on publishing papers written by ChatGPT has brought several debates to the table: is it ethical to use it to produce science texts, and if so, should it sign them? Just as we don't make the Word proofreader a co-author of our articles, let's not make fools of ourselves by giving these new tools the status of co-authors as if they had an entity of their own.
Artificial intelligence algorithms using ChatGPT - the OpenAI company's GPT-3 language model - can identify speech features to predict the early stages of Alzheimer's disease with 80 per cent accuracy. The neurodegenerative disease causes a loss of the ability to express oneself that the algorithms could recognise, according to the journal PLOS Digital Health.
Researchers from FIDMAG Hermanas Hospitalarias and CIBERSAM have announced the development of an algorithm that detects the risk of schizophrenia from fingerprints with a reliability of 70 %. It has been tested on 700 patients with schizophrenia and 850 people without schizophrenia; validation studies are pending.
AlphaCode, the Artificial Intelligence (AI) system for developing computer code developed by DeepMind, can achieve average human-level performance in programming competitions, according to a study published in Science. This could shift the work of programmers to formulating problems for AI to solve.
The database with the predicted 3D structures of almost all catalogued proteins has just been published. The impact on biology is incalculable, from the development of a vaccine against malaria, to understanding Parkinson's disease, the health of honeybees or the fight against plastic pollution.
A study of more than 630 billion words (mostly in English) used on 3 billion web pages concludes that the term 'people' is not gender-neutral: its meaning is biased towards the concept 'men'. The authors write in Science Advances that they see this as "a fundamental bias in the collective view of our species", relevant because the concept 'people' is "in almost all societal decisions and policies".