Are you lucky to get these kind of emails to apply for a research position you recently advertised? John Carmack on Twitter: People like the idea of hard and fast rules, but putting +/-infinity as a factor in a policy decision is almost never the best plan. Hiring is an obvious example, with "requirements" that … Continue reading On hiring
NBC news writes: Hackers have published extensive patient information from two U.S. hospital chains in an apparent attempt to extort them for money. The files, which number in at least the tens of thousands and were posted to a blog on the dark web that the hackers use to name and extort their victims, includes … Continue reading Cybersecurity for the healthcare
Starting today, I'd be covering three major articles on the ethics of artificial intelligence. I link them from HBR and raise very important issues. As usual, I'd highlight the key principles in discussion and weave in my ideas around them. Some of them are pay walled, and while the bias in inherent (because the industry … Continue reading A series of articles on AI Ethics.
I had written about Apple's healthos (which got a lot of traction on the net. While there are several write-ups trying to dissect the issue in inane detail, I am highlighting a pertinent issue from one of the Reddit posts. I rarely link there (as they can get taken down); however, this merits a wider … Continue reading Apple Healthcare: The Next Processor Change is Within ARMs Reach
The author has a provocative essay on the "science" of "prediction". He makes very sweeping generalisations about mobile phones, for example. The mobile phone was a standard entity and I have long held belief that it was BlackBerry that invented the form factor (and the complete underlying technology). Apple "reinvented" it with worse monopolistic controls. … Continue reading Not even wrong: ways to predict tech
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