The avenues of synthetic intelligence and machine studying analysis are increasing broadly and quickly. Meta says it plans to tailor its AI explorations by analyzing the constructions and networks of the human mind, hoping to map higher deep studying algorithms by patterning them on the neural actions of actual human cells. Over at Google, in the meantime, one in every of its prime engineers says he is satisfied a chatbot he labored with has achieved human-like sentience.
What does all of it imply? And what may it imply for AI purposes throughout healthcare?
We spoke not too long ago with Chirag Shah, affiliate professor within the Data College on the College of Washington. With experience embrace interactive info retrieval and recommender methods, Shah – learn his latest HITN article on Google’s LaMDA – spoke about latest advances in computational fashions and analysis methods and mentioned a few of the challenges, alternatives and dangers as AI positive aspects floor in healthcare.
Shah’s work at UW, and his particular areas of analysis
The place healthcare it proper now with AI & ML – and the place it is headed
The place do you count on we’ll be 5 or 10 years from now?
How AI and just like – and totally different from – the human mind
The moral considerations dealing with healthcare AI deployments, now and sooner or later
The alternatives superior AI & ML may allow
Extra about this episode:
Sentient AI? Convincing you it’s human is simply a part of LaMDA’s job
Metaverse and digital actuality are gaining a foothold in healthcare
New York State Workplace for the Growing older deploys AI robots as companions for older adults
Examine: AI deep studying fashions can predict race from imaging outcomes
AI-enabled app evaluates MRI information to assist analyze dementia
Google and DeepMind face authorized declare for unauthorised use of NHS medical information
Nuance, Well being Administration Academy launch synthetic intelligence collaborative
Recognizing bias in AI requires a holistic method, says research
What does the longer term maintain for AI in healthcare?