New Technology


Zephyr Lipman-Wulf, Arts & Entertainment

We are currently living in the 21st century. With our up-to-date and advanced ways, new technology (meaning software updates, new apps, new mobile devices, and controllable internet) is being released all the time. One of the newest developments in the online world is cyber security. It is the protection of devices and databases. The need for an increase in cyber security is because the Internet is growing, and constant potential web threats are always emerging. Hackers will never stop trying to hack and illegally acquire hidden or encrypted data. Thus, new jobs in this field are always opening and becoming available. These jobs are becoming very popular, but filling them all isn’t as easy as it sounds. You must be qualified and know your way around the technology, typically without needing any additional assistance. Sadly, we’re falling behind and will have over 3 million unfilled cyber security jobs by the time 2021 rolls around. 

Another increasing tech trend that we can observe is machine learning. Related to artificial intelligence (AI), machine learning is programmed computers doing things they usually wouldn’t do. The programmed machines are designed to detect patterns and trends in data. This is how the machines are able to learn and collect complex internet information. There are two types of machine learning: supervised and unsupervised. Supervised machine learning is when a tech supervisor guides and somewhat prompts the “machine” into what to do. Unsupervised machine learning is when the “machine” is set up and left to troll and collect data on its own. This field is only growing day by day, and by 2022 we can expect machine learning to increase by over 8 billion dollars.  

While these technology milestones and accomplishments are quite outstanding, they also have their downsides. Some of the positives of the new technology are safer web searching and internet, more secure sites, increased revenue for tech employees, and more hacker resistant software. Some of the negatives are computers and artificial intelligence taking the place of people’s jobs, increased Internet use as it becomes more adept and organized, and the millions of dollars companies pay each year to sometimes failing projects.