A short history of remote work

Remote work was put in practice for the first time around the 1970s as a response to the rising prices of gasoline. The new working from home possibilities enabled people to reduce commuting time and the amount of money spent on gasoline for being able to reach their workplace. 

The internet, email, and video telephony skyrocketed at the beginning of the 2000s the considerations for adopting remote work, with more and more IT companies starting to choose this approach back then. However, remote work remained for many more years a preference of millennials mainly, and being possible just for certain domains. 

Many studies have started to underline the benefits of remote work, both for employees and companies too. In 2015, Stanford Institute for Economic Policy Research demonstrated in one of their studies that work from home policies were increasing productivity by 13%. Slowly work from a specific location, at a specific time, started to be considered an outdated work tradition, which is ignoring all the technological evolution of the last decade and is detrimental for both people and companies too. 

People first, geography second

Remote work is reshaping the way we relate to the idea of work. It is not anymore just about working from home or working from anywhere, but more and more about working for any company no matter where they are located. This approach opens the door to many new opportunities and ways in which top global talent could cooperate on certain projects. For example, if you are a creative agency in Vilnius, Lituania, now you can reach out to designers in London, UK, without the need for them to relocate or for you to cover enormous costs with this process. 

The future of work is more and more about people first, geography second. Skype, Zoom, Microsoft Teams – are just a few of the technological tools which enable us to connect almost from anywhere in the world to anyone in the world. However, this comes also with many challenges that must be addressed in the near future. The reliability and security of these platforms, as well the need for wider implementation of the 5g technology in order to ensure a faster and stronger connection, are on the front of the process of improving the conditions for remote work. At a policy level, states will need to take into account policies that specifically address the challenges of the remote work context: giving legal space for workers to disconnect and to be heard collectively even if they are not located in a certain office. 

The future of remote work: teleporting work

Technological innovations will continue certainly to revolutionize the idea of remote work, enabling people and companies to take advantage of increased flexibility. 

Telero is doing its part in this process of innovation by introducing the idea of teleporting work instead of just remote work. By allowing people to control robots overseas, Telero will enable its users to search for jobs far away from their local area, but without the need to migrate, leaving behind their families. In the meantime, companies and small enterprises will be able to look for candidates focusing on what skills and assets their current project needs, stepping away from geographical constraints. 

The concept of teleporting will allow companies to retain talent, without being tight to geographical borders. For employees, this will bring better working and living conditions, as people will be able to pursue their dream careers while being at home with their families. 

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What is an exoskeleton?

Exoskeletons are many times represented in our minds as an Ironman suit that gives its owner superpowers. This is true to some extent, as exoskeletons help us to enhance our ability beyond our actual physical capabilities. Exoskeletons come in various designs and with many different features, from wearable exosuits to virtual exoskeletons. 

Exoskeletons are based on the use of artificial intelligence to boost human abilities through the use of enormous data sets and well-structured algorithms. This data-driven mix of artificial intelligence and human abilities results in many new opportunities for various industries and for our day to day living too. 

Exoskeletons in the workplace

Many industries are already using various types of exoskeletons to ease physical labor and boost productivity. Motor-assisted gloves, power suits, ekso vest – are just a few examples of how the concept of exoskeletons became in the last years a tangible innovation that transforms especially the construction, health, and motor-vehicle manufacturing industries. 

These new design features enable us to adapt exoskeletons to the many ways in which we work, making them even more valuable for improving work conditions. However, the costs for using exoskeletons are still high, but future research and wider use of this technology will permit more affordable and effective implementation. 

How will exoskeletons change the idea of work?

Exoskeletons are all about transforming our lives through enhancing human abilities with the help of artificial intelligence. The idea of work as we know it is starting slowly to evolve by taking advantage of the collective intelligence and adaptiveness of this newly implemented technology. Exoskeletons are able to provide us with improvements based on large sets of data and incorporate intelligence across many humans. In the near future, we could see exoskeletons being used wider from manufacturing industries, engineering, and even in creative fields. 

Telero is already incorporating this technological innovation into its work, allowing people to remotely control robots through the use of an exosuit and other tools. Using Telero, people will have the freedom to work from anywhere in the world, while companies will be able to hire experts no matter where they are located. 

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We described below 13 things you should know about neural networks and how they can transform in better our lives: 

1. Neural networks are not Machine Learning 

Neural networks are inspired by the structure of our brain, having many highly interconnected entities, while Machine Learning is a set of algorithms that parses data and learns from it in order to discover patterns of interest. Neural networks use one set of these algorithms, used in Machine Learning, but are able through deep learning models to determine on their own whether their predictions are accurate or not. 

2. Neural networks solve complex problems

Complex problems, with various data sets, could be hard to solve by simple Machine Learning systems. This is when neural networks come into the discussion through understanding many different variables and being able easily to make sense out of them. One example could be the use of neural networks in the recognition of health problems through identifying speech patterns. 

3. Neural networks can figure out the correct features

Based on their deep learning capabilities, neural networks are able to figure out the correct features to ascribe to a problem. This type of ability is called feature engineering and permits neural networks to create new categories for consideration and apply them afterward to their work.

4. Neural networks are flexible

The core function of neural networks is to learn and understand patterns, so if they are capable of it in a certain domain, they could also apply this to any other domain. This gives neural networks a high power of flexibility, enabling us to use them in very different domains, from healthcare to air traffic, even sports or finances. 

5. Neural networks need a learning period

Neural networks require a training period similar to the development of a child’s mind. In this period they learn how to use data and how to adapt it according to the changing input. Neural networks usually evolve through three learning paradigms: supervised learning, reinforcement learning, and unsupervised learning. 

6. Neural networks are enabling deep learning

Inspired by our biological neural networks, these kinds of systems are made to adapt themselves according to the need. Compared to other types of learning systems (task-based algorithms), neural networks are enabling deep learning and can create their own unique set of features to be used in the identification of certain problems or solutions. This process enables neural networks to work with incomplete data once trained. 

7. Neural networks are evolving 

Training allows neural networks to reach new levels of complexity. We can scale up or down its capabilities, and easily imagine a near future in which neural networks will be able to draw reliable solutions without needing many pattern examples, and in a shorter period of time.

8. Neural networks bring new opportunities

Wider acceptance and wider availability could make neural networks to transform many areas of our lives. Neural networks are not expanding just vertically, bringing new complex structures, but also could expand horizontally, improving various industries through bringing new opportunities and perspectives.

9. Neural networks have long-term potential

Neural networks are here to stay, but more to evolve with us. Therefore, these systems hold long-term potentials, and future research could create many more ways in which we could use them.

10. Neural networks are still expensive 

The challenge of cost-effective neural networks represents a real struggle for researchers in the domain of Artificial Intelligence. On the one hand, it is well known that at least for now, large neural networks are able to provide better results than smaller ones, but on the other hand, these large learning models can come at an enormous cost. Wider availability and research could improve this aspect, as more and more businesses start to consider neural networks in their work. 

11. Neural networks can be integrated into (almost) any work 

The use of neural networks can be integrated into very different fields and aspects of our lives. As these networks are inspired by our biological neural networks, they can help us out in solving problems without being previously programmed with the problem-specific rules and conditions.

12. Neural networks have real-life applications 

The real-life applications of neural networks demonstrated their importance and adaptability to various situations that require deep problem-solving. Life sciences use it to predict diagnostics and health monitoring; manufacturing companies use neural networks to optimize supply chains, while in public services we can see neural networks being used to support the development of smart cities. 

13. Neural networks can be the future of work 

Neural networks are changing how we interact with systems or how we attempt to solve problems in our daily lives. The adaptiveness of neural networks and their ability to discover anomalies is transforming the way we work and could provide new paths to follow in reaching strategies for improving various industries and lines of business.

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What is 5G technology?

5G technology is the next generation of lighting-fast speed mobile connectivity. The networks based on this technology are expected to provide us with fast download and upload speeds, while at the same time revolutionizing many industries.

Although we could already do many things through 4G technology, the newly developed 5G features will ensure problem-solving in areas that require fast response, such as in the case of emergency interventions.

The power of 5G

5G technology will allow its users to get to enormous sets of data in a very short period of time, without having to wait hours for something to upload or download. This will enhance many industries where knowledge of data is a critical matter. Accessing data faster will improve research and will provide users with a new kind of flexibility in how they consume information, but especially in how they use that information. 

The power of this technology could bring new approaches to how countries collaborate in solving problems, but also could mean an increase in inequality around the world, as some countries may remain behind other countries in the race of the 5G implementation. 

Reshaping the office: mobility&quality

The wider rise of remote work underlined, even more, the need for faster connectivity and responsiveness in our work. 5G technology could be the one to address these challenges and enable us to work with more freedom, from anywhere, and in a more reliable way – connecting us faster to our colleagues and business partners. 

The use of 5G technology together with artificial intelligence will reshape the office, allowing workers to be more flexible and productive at the same time. This could mean the end of geographical constraints in certain domains and allow the workforce to discover new ways of doing tasks. This could mean not just working from anywhere, but working better even on the go, for example ensuring a better and stronger connection to truck drivers or emergency teams. 

5G has the potential to transform many areas of our lives: from a faster download of our favorite movie to providing technical improvements that will allow us to work better, faster, and smarter. 

Telero is already making steps for taking out the most from the use of the 5G technology. Employees and companies will be able to connect faster and smarter no matter where they are located. 5G technology will enable us to offer new solutions for remote work and to make teleporting work a reality.

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