Researchers are investigating the use of AI technology in complex decision-making situations with the goal to identify the best human attributes artificial intelligence can mimic when faced with making difficult decisions in extreme situations.
In vitro biological neural networks (BNNs) embodied in robots exhibit a wide range of complex behaviors, including supervised and unsupervised learning, memory, object tracking, obstacle avoidance, and the ability to play simple games.
Scientists have developed a way to use artificial intelligence (AI) to find signs of life on other planets. They combined statistical ecology and machine learning to map the patterns and rules of how life survives in harsh environments on Earth, and then trained the AI to recognize those same patterns and rules in data from other planets. This method can help guide rovers and other exploration missions to places with the highest probability of containing life.
According to researchers, language model AIs like ChatGPT reflect the intelligence and diversity of the user. Such language models adopt the persona of the user and mirror that persona back.
The human brain continues to massively outperform AI technology in a range of tasks, a new study reports. Researchers outline their plans for biocomputers and organoid intelligence systems as future improvements for artificial intelligence technology.
Using neuroimaging data, a new deep-learning algorithm was able to detect Alzheimer's disease with 90.2% accuracy.
A new natural language processing algorithm is able to sift through doctors' notes and predict a cancer patient's survival rate over the next 60 months with 80% accuracy.
Using AI, researchers identified Probucol, an existing anti-cholesterol drug that promotes the disposal of mitochondria, as a potential new therapy for the treatment of Parkinson's disease.
Examining the cognitive abilities of the AI language model, GPT-3, researchers found the algorithm can keep up and compete with humans in some areas but falls behind in others due to a lack of real-world experience and interactions.
Artificial intelligence was able to determine different behavioral phenotypes at different stages in the development of epilepsy in mice.
Using a combination of machine learning and neuroimaging data, researchers revealed a neural basis for aesthetic appreciation.
Researchers have created an accurate, easily interpretable new algorithm for predicting mild cognitive impairment and dementia in older adults.
