Right now a heated trend is integrating technology into wearable devices.
Camera-mounted glasses (like Google glasses) or watches that answer your phone calls (like the Apple Watch) are very popular right now.
Industry experts believe we are just scratching the surface.
Thanks to flexible electronics, clothing will soon install computers, sensors or wireless receivers.
But most of them need to be connected to a smartphone to work.
The real explosion of clean technology can happen when they are able to break free and work independently.
Internet of Things
Compatible with wearable devices is the Internet of Things – machines are talking to each other, people connected to computers are observing, analyzing and acting on the ‘big data’ explosion of results. Refrigerators, toasters and even trash cans can be computerized and, most importantly, networked. Google’s Nest thermostat is one of the more well-known examples.
This Wi-Fi-connected thermostat lets you remotely adjust your room temperature via your mobile device and can also learn your behavioral patterns to create temperature-setting schedules.
Google acquired the home in 2014 for 3.2 billion. Another company, SmartThings, acquired by Samsung in August, provides a variety of sensors and smart-home kits that can monitor things inside and outside your home and warn you about the potential for leaks to give homeowners peace of mind.
Working with billions of intelligent systems and involving millions of applications, sensors will soon number in the trillions, and the Internet of Things will drive new consumer and business behavior that we do not yet see.
Big data and machine learning
Big Data Hide High Buzzword which is hard to process using conventional techniques nowadays
Big data analytics can reveal insights hidden by data that is too expensive to process.
An example is the peer effect among customers among customers published by analyzing customer transactions, social and geographic data.
With more and more information being stored online, especially with the advent of wearable technology on the Internet and the popularity of things, the world will soon reach an overloaded wilderness.
Going through this huge amount is thus essential, and this is where machine learning comes in, instead, it’s an idea closer to home.
For example, your email contains a spam folder where an email that matches a specific pattern is filtered by an algorithm that has learned to distinguish between “spam” and “not spam”.
Similarly, your Facebook feed is filled with posts from your closest friends because an algorithm has learned what your preferences are based on your interactions – likes, comments, shares and clickthroughs.
Where big data and machine learning come together, there is no field waiting for a revolution of information and more likely to convert than half. Physicians will be assisted by smart algorithms that dig into their patient dataset, complete with previous diagnoses or genetic information. The algorithm must go through extensive records and relate to treatment information. For example, a cancer patient may come for treatment. The doctor will then be informed that since the patient has a specific gene or set of genes, a customized treatment will be applied. Surprise!
You may have heard of Bitcoin but it is not just a form of cryptocurrency. Today, there are thousands of cryptocurrencies. Unlike government-backed currencies, which are usually regulated and created by the central bank, cryptocurrencies are computer-generated that solve a series of complex algorithms and rely on decentralized, peer-to-peer networks. Although a few years ago these were just a fancy, now things are much more serious. Within a short time of making bitcoin, a user spent 10,000 bitcoins for two pizzas. The same amount of bitcoin will be worth about 8 8 million a few years later. Today, they are worth about $ 63 million.
There is a lot of controversy surrounding cryptocurrency. For example, because it is decentralized and anonymous, Bitcoin has been used and it is used to fund illegal activities.
Used for. Also, there is always the risk of a computer crash if your wallet is deleted or a hacker throws your virtual vault. Most of these concerns are not different from those concerned about the cryptocurrency, though, and with time, cryptocurrencies can be very secure.
In 2012, California was the first state to officially legalize driverless cars. The UK is set to follow suit this year. Around 1.2 million people worldwide die in car accidents every year. Tests so far have shown that driverless cars are very safe and need to reduce motor accidents. In fact, if all the cars on the motorway were driverless and networked, theoretically there would never be an accident. In addition, the algorithms will ensure that you take the optimal flow of traffic as possible because the mathematical operations will calculate the speed at which one vehicle moves relative to the other so that the whole column moves at maximum speed. Of course, this would mean that most people would have to give up driving, which is not an option for those who enjoy it. Still, You can work alone in the car without a driver’s license. “Almost every car company works with automated vehicles,” said Sven Baker, executive director of Stanford’s Automotive Research Center.
A 3D printer reads each slice (or 2D image) of your virtual object and moves on to create the object], blending each layer together without any layers of layers, resulting in a single 3D object. It’s not exactly new. Companies, especially in R&D or automotive basins, have been using 3D printers to make molds and prototypes for more than two decades. What’s new is how this technology has reached the general public. Nowadays, you can buy a decent 3D printer for less than 600 cents. It allows you to print spare parts for your broken machines, You can create art or anything else that is suitable for your innovation. You don’t even have to know how to design. Digital libraries for 3D parts are growing rapidly and will soon be able to print enough of what you need. Technology is also advancing. We’ve seen 3D printed houses, cars or ears, and that’s just the beginning. Scientists believe that they can finally print 3D customized activities for each patient, saving millions of lives each year.
The origins of virtual reality can be traced back to the late 1950s, a time when computers limited the size of Goliath homes. Douglas Engelbert, a young electrical engineer and former naval radar technician, saw the potential of computers as a digital display and laid the foundations for virtual reality.
But if we had proverbial V-goggles how could they try to give insights into the future? Okay, you’ll find a place for VR that goes far beyond video games, as the Oculus Rift tries to sort of. Multiple player VR provides the basis on which a class of students can go on a virtual tour of the Egyptian pyramids, let a group of friends watch the latest episode of “Game of Thrones” together, or give seniors a chance to share a visit with their grandparents. May be half way around the world. Where VRR can be most effective is not to imagine, but to enrich reality by connecting people as before. It’s deadly exciting.
It has been 10 years since the first sequence of the human genome was made. At the time, the cost of sequencing per person dropped from .7 2.7 billion to just 5,000! Raymond McAly, a leading researcher at Genomics, predicted in a speech at Singularity University’s Expansive Finance 2014 conference that we will purchase DNA for pennies by 2020. Will data be released?