This research investigates the performance of GPT-3.5, GPT-4 and human users on a simulated ophthalmology exam provided by the American Academy of Ophthalmology. A comparison was made by established methodology, and outcomes of this comparison were verified. This research studied the ability of the computers to pass the US Medical Licensing Examination Step exams and the similarity between their performance and those of neurosurgery residents.
A Swiss research institution has developed CEBRA, a machine-learning algorithm capable of accurately predicting what mice see by deciphering their neural activity. Furthermore, it can also predict movements of primates and precisely reconstruct rodent positions within an arena. With a potential to open up a range of new clinical applications, CEBRA offers insight into the hidden structure and relationships of complex systems.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?