...AINU coupled with super-resolution microscopy of nuclear structures provides a robust tool for the precise detection of cellular heterogeneity, with considerable potential for advancing diagnostics and therapies in regenerative medicine, virology and cancer biology.
By bringing ChatGPT into higher education, ASU is setting a new precedent for universities to enhance learning, creativity, and student outcomes while remaining committed to leading in innovation and responsible use of technology.
Recently, researchers have begun developing speech brain-computer interfaces to restore communication for people who cannot speak.
The team will use AI and machine learning to match the image data with linked health records to find patterns that could help doctors better determine a person’s risk of developing dementia.
Meanwhile, the World Robot Conference…in Beijing claimed 27 humanoids debuted at the event, a record. Similar to the country’s rush into electric cars a few years ago, money and resources are now flowing into the development of humanlike robots.
…a director…shared on LinkedIn that he used ChatGPT and GitHub Copilot to reverse engineer and document an 8-year-old Java codebase in one day… a data science manager… said he was able to complete four days of work in two hours using ChatGPT. That included parsing the content, creating objects from content and then creating a base machine learning model out of that…
Inspired by neurons in a dish playing the classic video game, researchers show that synthetic hydrogels have a basic ‘memory’.
It could help make interactions between robots and humans smoother and more intuitive.
Scientists use six cosmological parameters to describe the large-scale makeup of our universe….Getting precise estimates of these numbers is important for understanding how our universe began and how it will evolve…By applying AI to the problem, the researchers were able to extract numbers for the parameters across smaller scales, yielding a result for our universe's matter clumping that had less than half the uncertainty of previous results.
In a new frontier for deep brain stimulation, researchers used A.I. to develop individualized algorithms, which helped a skateboarder and other patients with Parkinson’s disease.