I believe this kind of reporting helps people keep up with an ever-changing world, while also funneling inspiration to do better in life. Of course, this is a momentary time lapse as the wave of innovation travels from early adopters to mainstream consumers. The first fully functional digital computer, the was invented in 1946, but it wasn’t until 1975 that Ed Roberts introduced the first personal computer the Altair 8800. I do think touch screen tech is a new thing and it is fantastic . The first touch screen was invented by E.A. Johnson at the Royal Radar Establishment, Malvern, UK, around 1965 – 1967. In the 80s and 90s some companies like Hewlett-Packard or Microsoft introduced several touch screen products with modest commercial success. It wasn’t until 2007 when Apple released the first iPhone that touch screen really became popular and accessible. Sometimes we are depressed we will turn on the screen and we watch a comedy or we will go to our iPad and we will browse for different things that might make us feel happier or of course Facebook is the main alternative.
Have you ever gone on to Facebook and you’re depressed or you think, oh, maybe I should talk to this person or maybe this person will help me or do I not want to talk to this person about my issue ok back to my review about technology and how it’s used in the coming 2017
A hot trend right now is integrating technology into wearable devices. Glasses with cameras (Google Glass) or watches that answer your phone calls (Apple Watch) are just a few products that are very popular right now. Such as also house computers, sensors or wireless receivers. But most of these need to connect to a smartphone to work. The real explosion of wearable tech might happen once these break free and work independently.
Big data is a hyped buzz word nowadays that’s used to describe massive sets of both structured and unstructured data which are hard to process using conventional database techniques. Big data analytics can reveal insights hidden previously by data too costly to process, such as peer influence among customers revealed by analyzing shoppers’ transactions, social and geographical data.
As I am the founder of the first social networking website in Ireland I am aware that technology is the next biggest thing and it will continue to grow and influence this generation and future ones.
With more and more information being stored online, especially once the internet of things and wearable tech explode, the world will soon reach an overload threshold. Shifting through this massive volume is thus imperative, and this is where machine learning comes in. Machine learning doesn’t refer to household robots, though. Instead it’s a concept much closer to home. For instance, your email has a spam folder where e-mail that fit a certain pattern are filtered through by an algorithm that has learnt to classify “spam” and “not spam”. Similarly, your Facebook feed is filled with posts from your closest friends because, similarly, an algorithm has learned what are your preferences based on your interactions – likes, comments, shares, clickthroughs.