[Medical] AI Engineering
[ Level: Easy ][ Time to Read: 14 minutes]In this Google DeepMind podcast episode featuring Professor Anna Fry interviewing Dr Shane Legg, a co-founder and Chief AGI Scientist at DeepMind the conversation focuses extensively on Artificial General Intelligence (AGI), defining it across different levels, from “minimal AGI” (human-level cognitive capability) to “full AGI” and eventually Artificial Super Intelligence … Read more
[ Level: Easy ][ Time to Read: 13 minutes]Understanding the risk posed by AGI is like standing at the foot of an accelerating train track; you can debate the exact speed or the final destination, but the wisdom lies in recognizing the immediate need to step off the tracks before the exponential approach leaves you … Read more
[ Level: Intermediate ][ Time to Read: 15 minutes]There’s a growing fascination with off-grid communication. Whether for backcountry adventures, emergency preparedness, or simply reclaiming a piece of digital sovereignty, people are exploring ways to stay connected without relying on traditional infrastructure. This journey often leads to the world of DIY radio projects and decentralized mesh … Read more
[ Level: Easy ][ Time to Read: 4 minutes]For many years, I have had the privilege of training aspiring Machine Learning and Deep Learning students, helping them transition from coders to effective AI practitioners. To date, I have trained more than 600 AI practitioners, with student backgrounds ranging impressively from medical doctors to high school … Read more
[Level: Intermediate ][ Time to Read: 7 minutes] A prominent use case for AI in medicine is in diagnostic imaging, particularly in radiology and pathology.1 AI-powered tools can analyze medical images, such as X-rays, CT scans, MRIs, and pathology slides, to assist healthcare professionals in detecting abnormalities and making more accurate, faster diagnoses.2 How it … Read more