When they finally appeared, I squinted, bewildered. I laughed out loud alone in my office, then sent a very confused email to customer support. Every writer I know is talking about AI tools and whether they're ethical to use. But what's just as interesting to me is why we're so enamored with them even if they produce outrageous or below-average results. Why do we chase the shiny new thing even if it's not better, faster, or cheaper?

For the past two years, our health and the healthcare industry have been at the front of our collective continuousness like at no time in recent memory. And as we move into 2022, technologies such as AI, wearables and new telehealth systems will play a significant role in helping us get and stay healthy. Dr. Michael Aragon, chief medical officer at Outset Medical, a medical device manufacturer, shared his top five 2022 trends for healthcare with TechRepublic, and technology was front and center. Wearables like the Apple Watch and Fitbit brought personal health tracking to the masses and in the past few years, the market has expanded dramatically to include a variety of in-home health teach that will monitor your blood pressure, heart rate, spO2, ECG, PPG, sleep quality and even neurological disorders. "This trend will continue to grow as individuals want the ability to have their health monitored without the need to visit their physician," Dr. Aragon said.

For 600 years it has steadfastly refused to give up its secrets and has beaten some of the world's most brilliant brains, including Alan Turing. Experts variously claimed that the Voynich manuscript - known as the'world's most mysterious text' - contained codes, magic spells, alien messages and even communist propaganda. Eventually most agreed that it was either impossible to solve or else written in gibberish as an elaborate practical joke. But a linguistics expert from the University of Bristol has now cracked it - and it took him just two weeks. Dr Gerard Cheshire worked out that it was written in a dead language - proto-Romance - and then by studying symbols and their descriptions he deciphered the meaning of the letters and words.

This exercise represents an intended worst-case scenario for machine learning, as my aim was to test the results on a scarce dataset (n 52). In the Catalan linguistic area in Spain there is no census data about native speakers. Indeed, there is no real useful data about Catalan language from a data science perspective. I focus my attention in this case because until 1950, virtually 100% of the population of the Catalan linguistic area was Catalan native speaker, but from 1950 until now, population has doubled by immigration, that in addition to demographic and political reasons, resulted in Catalan as a minority language in most of its former linguistic area. Currently, we don't have extensive quantitative data to know the real situation or evolution of Catalan language in its territory.