Artificial intelligence and its limits – An understanding of AI’s limitations is starting to sink in

Are we reaching the “AI Winter” or end of the “hype cycle”? As the write up argues (well), that much of the debate around the AI/machine learning and pattern recognition was driven by the investor “hype cycle” and their echo chambers. For context, I tried to filter out the “tweets” and I only came across […]

Telemedicine: Future depends on how telecommuting is accepted

This has a fascinating insight into telecommuting. There are several “outliers” that don’t herald a trend but merit consideration. I feel that in the long term, hospitals would feel compelled to offer “teleconsultations” (especially if they check the thorny issues of payments and insurance payouts). It could be possible for, say, pathologists to interpret the […]

Not even wrong: ways to predict tech

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. […]

AI healthcare: Key challenges

This is an interesting paper (and worth your time) to pursue about the key challenges for AI in healthcare. It gives a decent overview of the landscape. Artificial intelligence (AI) research in healthcare is accelerating rapidly, with potential applications being demonstrated across various domains of medicine. However, there are currently limited examples of such techniques being successfully deployed […]