ChatGPT is the virtual A.I. robot that is all the rage and on everyone’s lips.
At the end of November last year, a new A.I. program appeared and was soon considered a technological milestone: ChatGPT. What does it consist of and how does it affect learning and creativity…?
“I am ChatGPT, a large-scale artificial language model trained by OpenAI. I have been taught to process natural language and respond to questions and requests on a variety of topics. I am designed to have meaningful conversations and provide useful and accurate information to users.” (This is how ChatGPT defines itself.)
So ChatGPT is a virtual robot (chatbot) that responds within seconds to a random request on any topic (“write a Charles Dickens-style story about the Thames in 400 words,” for example), writing a unique version. It is available in almost 100 languages.
Why is ChatGPT considered a breakthrough for A.I.?
A.I. programs based to date on large language models (LLM) work by storing large Data and algorithms to predict the best text. However, ChatGPT understands how language works thanks to reinforcement learning through human feedback (RLHF).
Is it a threat to learning?
Text-dependent fields, such as journalism, could be severely affected, and ChatGPT is capable of generating programming code, which also raises questions in this sector. But one of the most affected areas is education. Let’s see why:
1. Many students use the program for homework (it is already banned or limited in many countries).
2. In addition to “copy and paste”, there is a fear of the long-term impact on our brains, which have been slowly shrinking in size as a result of technological development.
3. Teachers should be aware of new technologies and integrate them into their activities, joining the current universe of students.
How will ChatGPT affect the future of human creativity and content production?
ChatGPT bases its answers on texts available on the Internet (news, books, etc.), so it can include ideas from authors without respecting intellectual property. In addition, ignorance of the sources can lead to fake news.
As algorithms are devices for generating combinations, the creative impulse could be reduced. But nothing could be further from the truth: they also generate patterns that could not even be imagined, thus enhancing our creativity.
In short, technology is a very powerful tool for expanding our knowledge, as we test countless variables in a short time. However, it can also be a threat to those who use these systems without questioning morals and ethics.
Nubeprint offers a managed MPS solution with algorithms and dynamic filters based on A.I. In 2013, it developed the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS: through this machine learning, the system develops pattern recognition and the ability to learn continuously, with predictions based on Big Data, after which it makes the necessary adjustments without having been specifically programmed to do so.
SOURCE: bbc.com/ chat.openai.com/ Nubeprint.com
A.I. holds great surprises for us, such as the one in this article (don’t stop reading until the end…).
Artificial intelligence (AI) has advanced by leaps and bounds in recent decades, and has proven to be a transformative technology in many areas. From autonomous driving to healthcare, AI has shown great potential to solve complex problems and improve efficiency in a wide variety of industries. In this article, we will look at the current and future possibilities for AI.
Today, AI is already used in many areas, from manufacturing to healthcare. For example, machine learning algorithms are used in manufacturing to improve efficiency and reduce costs. In healthcare, AI is used to identify patterns in patient health data, which helps doctors make more informed decisions about treatment and disease prevention.
In the future, AI will continue to transform our lives in even more profound ways. One of the most exciting possibilities is autonomous driving. Technology and automotive companies are investing heavily in the development of autonomous vehicles that can drive safely and efficiently on our roads. This could have a major impact on road safety, as most car accidents are caused by human error.
Another interesting possibility is the automation of jobs that are currently performed by humans. For example, customer service tasks could be performed by intelligent chatbots that can answer common questions and solve simple problems. This could free up customer service employees to focus on more complex problems and increase overall business efficiency.
In addition, AI could help solve some of the biggest global challenges, such as climate change and resource scarcity. For example, machine learning algorithms can be used to optimize renewable energy production and improve the energy efficiency of buildings. They can also be used to improve water resource management and prevent deforestation.
However, there are also concerns about the potential negative impacts of AI on society. For example, some fear that the automation of jobs could lead to a large amount of unemployment. There are also concerns about privacy and data security, as AI algorithms can collect and analyze large amounts of personal information.
In conclusion, AI has the potential to transform our lives in exciting and positive ways in the coming years. From autonomous driving to healthcare, AI is already making a big difference in many areas. However, it is also important to be aware of the potential negative impacts of AI and work to mitigate them. If used responsibly and ethically, AI can be a valuable tool in solving some of the biggest challenges facing our society.
* Article written as is by ChatGPT (chat system based on the GPT-3 AI language model, developed by the company OpenAI).
Nubeprint offers a managed MPS solution with dynamic algorithms and filters. In 2013, it develops the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS: through this machine learning, the system develops pattern recognition and the ability to learn continuously, with predictions based on Big Data, after which it makes the necessary adjustments without having been specifically programmed to do so.
SOURCE: chat.openai.com/chat/ Nubeprint
In our daily lives, we need to know what time we set the alarm clock, what day and time we have a dentist appointment, when our child gets out of school depending on what activities he/she is doing, etc. In the business world, we need to make payments, place orders with suppliers, make predictions about sales and product requirements, but above all, we need to respond to customer needs on time. In the absence of regular, even weekly planning: Would it be good to know what day our customer needs the order/service and make a prediction in days…?
Nowadays, there is no company that does not have a management system in place to develop its activity efficiently, from placing orders with suppliers to arriving on time to the final customer.
Increasingly, A.I. systems are being used to analyze all the data available to the company in order to optimize management based on predictions, including customer profiles (age range, needs, consumption timing, etc.).
When we drive our car, the GPS tells us how to get there and how long it will take us. The vehicle’s own system tells us how many kilometers of autonomy we have left to refuel and at which location along the route we can do so.
When it comes to a printer monitoring system, time management is vital so that the customer always has the right consumable before the previous one runs out. Consumable alerts usually set a warning threshold when there is 20% of the consumable left. What if we could set the threshold in days and group the shipment of orders? This, which is no small thing, is only possible with Nubeprint. Its system gives the possibility to select in % or on days when we want the alert to be triggered, even differentiating the consumables of the same printer. By doing so, we will be safe from sudden drops in the consumables load, as happens in those brands of printers that only give sections in % (100, 75, 50, 25 and 0), where it is impossible to foresee the customer’s need.
We will also adjust delivery according to the type of customer: if it is a cost-per-copy contract, we want the consumable change to be made at the right time, avoiding waste; if we know that our customer will install the consumable as it arrives, it is better to send it a couple of days before the previous one runs out.
In addition, by marking the threshold in days, the Nubeprint system makes it possible to group the shipments of a specific customer on a single day of the week, thus optimizing delivery management, avoiding several shipments to the same customer in the same week and saving on costs.
In short, time management is paramount in any aspect of life and in any industry. The more accurate we are with our customer’s needs, the closer we will be to achieving a service of excellence, which will result in the prestige of our brand.
Unlike traditional programming, where the machine is given a set of specific instructions to perform a task, Machine Learning (ML) allows the machine to learn on its own… How is it possible to achieve this…?
ML is a branch of A.I. that deals with the study and development of algorithms and techniques that allow machines to learn and improve their skills autonomously without being specifically programmed to do so.
There are different types of ML, but in general they can be classified into two broad categories:
1. Supervised learning. This consists of providing the machine with a set of labeled data (already classified or categorized). The machine uses these to learn how to perform the classification task itself, and then is subjected to a set of unlabeled data to see how it performs.
2. Unsupervised learning is when the machine is given an unlabeled data set and left to discover patterns and relationships on its own.
A common example of ML is the automatic email spam filter. In this case, the machine learns to distinguish between unwanted emails (spam) and legitimate emails through the analysis of examples of each type of email.
Another example of ML is speech recognition as machines can learn to recognize and transcribe human speech very accurately. This is achieved by training the machine with a large set of recordings, then testing it with new voices to evaluate its accuracy.
ML is also used in health data analysis, weather prediction, social network trend analysis, and many other areas.
Although ML can be very useful, it also has some limitations. One of the main problems is the need for a large amount of labeled data of sufficient quality to train the machine, which can be costly and laborious to achieve.
Another limitation of ML is that it is sometimes difficult to understand how it arrived at a particular decision or prediction. This can be especially problematic in critical applications, such as medical diagnostics or financial analysis, where it is important to understand the decision-making process.
Despite these challenges, ML is increasingly becoming an integral part of many industries that are leveraging this machine learning to extract better quality information, increase productivity, reduce costs and get more value from their data.
Nubeprint, with 5 registered patents, offers a managed MPS solution with dynamic algorithms and filters. In 2013, it develops the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS: through this machine learning, the system develops pattern recognition and the ability to learn continuously, with predictions based on Big Data, after which it makes the necessary adjustments without having been specifically programmed to do so. Nubeprint, with a clear vocation for the future, is committed to technological advances and invests 30% of its resources in R&D&I, obtaining the Innovative SME certificate (Innovative SME, AENOR EA 0047) by the end of 2022.
SOURCE: tecon.es/ Nubeprint
The British capital has been promoting projects to become a more efficient and sustainable city for years. Why is it considered one of the best Smart Cities in the world, if not the first…?
By 2030, London will reach 10 million inhabitants. New technologies will help public services solve future challenges, especially on issues such as health or mobility.
Citywide 5G connectivity is one of the pillars for London’s Smart City, with free wifi access in streets and public buildings. A fiber optic network, in the transport network itself, will connect 400 km of tunnels, as well as roads and thousands of items of street furniture.
The number of connected devices will increase twelvefold by 2026 and the use of mobile data will increase by more than 30%, allowing SMEs to gain in productivity and the value of real estate to increase.
Data consultation is another key point, with free access to apps with information on shopping streets, the location of new schools and air quality measurements.
In relation to the environment, London manages the city’s energy data, identifying where and how to prioritize investment in green infrastructure, as well as having a smart platform that publishes data on the air quality of green spaces and the energy of buildings in the area, helping to control energy consumption and expenditure.
Other smart energy management systems are being tested in social housing, in addition to lighting systems and energy-saving switches.
In terms of mobility, the transport network has an open data portal and, through its unified API, enables the development of apps with innovative services and products regarding journey planning, service alterations and/or fares.
The British capital, which was the first major city to introduce an urban toll in 2003, also has a very low emission zone in the city center, with CCTV cameras to ensure compliance.
On its path to green energy, London is reusing the waste heat emitted by the subway thanks to new technologies. This lost energy could cover up to 38% of the city’s heating demand.
Finally, London intends to go hand in hand with businesses to accelerate its Smart City strategy, offering solutions to meet their needs and access to new technologies. This union will improve the quality of life of Londoners, both in terms of energy and environment as well as mobility and health.
Nubeprint has collaborated with the European Commission by supporting a sustainable printing model and leading actions such as the “1 Million Cartridges Initiative”. Its monitoring capacity allows to accurately check and measure the existence of circular economy procedures and the optimization of printing resources. It thus becomes an effective control that will enable your organization to achieve a neutral impact, comply with the SDGs and achieve excellence in its reputation as a sustainable brand.
SOURCE: theagilityeffect.com/ Nubeprint.com
Sustainability is becoming an instrument for solving problems that society has been dealing with for decades. One of them is mobility in large urban centers. Long commuting times to and from work and high air pollution have been seen as a cost of modernization. But now these ills are seen as unnecessary. And so some countries are already adopting labor legislation to promote sustainable transport schemes for employees.
How will these new regulations affect the productive fabric and teleworking?
Increasingly, sustainability is permeating all aspects of legislation, and soon it will be the turn of labor regulations. In doing so, it will promote a paradigm shift for both companies and their workers. In many countries, changes are being made to reduce or even eliminate carbon emissions resulting from employees’ commuting to work, while reducing the hours lost in traffic jams.
The new legislation seeks to generalize best practices by requiring companies over a certain size to promote the use of public transport and teleworking by their employees. Its wording takes into account the size of the population (the larger the population, the greater the current traffic and pollution problems, and therefore the greater the opportunity to reduce these problems) as well as the size of the company. Thus, in workplaces (public or private) with more than 1,000 workers located in areas with more than 500,000 inhabitants, measures would be included to reduce mobility during peak hours and promote the use of low- or zero-emission means of transport.
But as in any improvement process, it is necessary to establish indicators to show whether the impact obtained over time is the desired one. Corporations should periodically draw up a follow-up report on the level of implementation of the measures adopted. Collective bargaining agreements have been promoting transport initiatives for years with a focus on worker benefit and safety. Now it is a matter of encouraging such measures to facilitate sustainable transport with less time wasted by employees.
What are these initiatives?
1. Employee awareness plans.
2. Costing part or all of the transportation by public means to the employee.
3. Encouraging carpooling to the workplace.
4. Plan Renove to replace gasoline or diesel vehicles with electric vehicles.
5. Encourage teleworking as a coexistence of the traditional model.
6. Consider the time actually worked as the time spent commuting to and from work.
Nubeprint defends its strong commitment to sustainability in both labor and technology, complying with the SDGs (Sustainable Development Goals). Employees work 100% remotely, saving time and fuel (reducing CO2 emissions to zero), and are fully aware of the Nubeprint App as they download and use it themselves so that their printers are monitored and never run out of consumables. Thanks to our monitoring software, we reduce companies’ printing costs by minimizing waste, grouping shipments, boosting the circular economy of the cartridge and optimizing the useful life of the printer, complying with the most widely accepted sustainability criteria and in line with applicable regulations.
SOURCE: cincodias.elpais.com / Nubeprint.com
The 3D printer will be the household appliance of the future.
This type of printer is gaining ground in the consumer market and is becoming increasingly common in homes around the world.
How soon will it be before we have one at home?
The use of 3D printers in the home will no longer be a utopia by 2030. These printers allow users to manufacture three-dimensional objects from digital files.
Why is the use of 3D printers for the manufacture of everyday items growing?
1. Because of the convenience of being able to print an object at on location I removed “home”
2. Because it manufactures parts that would otherwise be difficult to find or very expensive.
3. Because of the improved finish of 3D printed objects.
4. Because of the availability and its increasingly lower prices.
What should we take into account when buying a 3D printer?
1º. The size of the printer, which must be compact to fit in the home. Changed from house to home
2º. The quality of printing and ease of use, as some models require further configuration.
3º. The type of material that can be used in the printer (plastic, resin or even metal).
4º. The cost of materials and printing times. Manufacturing an object with a 3D printer can take minutes or days (depending on size and complexity), so the cost is variable.
5º. The sustainable option. Some 3D printers allow the use of biodegradable and recycled materials.
What will be the future use of 3D Printing in the domestic environment?
1. Food printing. It will have different containers where to introduce freshly ground food.
2. Clothing printing. The almost immediate creation of a garment once the purchase of the design takes place.
3. Multipurpose printing. It will use resins, polymers or metal powder and will manufacture household items, small decorative objects, tools, children’s toys, and spare parts for that appliance that has broken down.
In short, 3D printers are gaining ground in homes around the world because of their ability to manufacture customized objects quickly and conveniently. With the improvement in the quality of printed objects and the decrease in prices, it is very likely that it will become one more appliance in our homes. It is not difficult to think that this type of printer will play an important role in the evolution of our society towards a circular and sustainable economy. For example, it will make it possible to manufacture at home those small spare parts that today reach us after having traveled 10,000 km.
Nubeprint’s software monitors printers of all brands (up to 64 different manufacturers), models and types (laser, inkjet, large format, and label), as well as 3D printers; in this case, the system warns when it is necessary to change the filament spools so that the printer does not stop working. Our solutions enable printer and cartridge distributors to manage their cost-per-copy contracts and subscription-based consumables sales services.
SOURCE: impresiondigital.ituser.es / infobae.com / xataka.com / Nubeprint.com
The concept of the “technological singularity” is the idea that humans will one day be overtaken by machines with A.I.. The date for this to happen is getting closer and closer. But will robots eventually take over?
We don’t yet know if robots will be able to supplant us, but Ray Kurzweil (Google’s director of engineering) predicted that by 2029 robots will be smarter than humans. This concept, which arose in science fiction, is currently in full debate among A.I. experts, while Google has created the Singularity University to investigate it.
What timetable does Kurzweil foresee for the future?
– In 2023, a computer will equal the processing power of a human.
– In 2030, we would reach the Singularity and an out-of-control A.I. could emerge, capable of creating even better A.I.s exponentially.
– By 2050, one computer will be able to process as much as the sum of all human brains combined.
What key points does Kurzweil highlight?
1º. A.I. will drive a revolution in knowledge that will affect culture, science and engineering.
2º. Getting computers to understand natural language, to reach the same level of understanding as a human.
3º. In the future, the capacity of intelligent computers will merge with people, with chips integrated into our own body or brain, making us healthier and smarter.
Will robots take over?
Science fiction has promoted the idea that one day intelligent robots will make autonomous decisions and come to confront and subdue people.
In the scientific world, there are many who reject this idea. A.I. will improve us but not supplant us, however, it is also a double-edged sword that leads us to “play with fire”, it warms us and helps us to cook, but we can also get burned.
Are there more risks associated with A.I.?
As intelligent systems become embedded in society, we may be left in the hands of machines that decisively influence our health or work. The possibility of achieving singularity raises many unknowns for the future, if machines – with unprecedented intellectual capacity – become self-aware and are able to design even better machines, the debate is on. Technological advances in A.I. must go hand in hand with both legal and ethical consensus, determining the red lines that must never be crossed (as in genetics, for example).
Nubeprint developed the first engine with A.I. for MPS in 2013, improved a year later for management optimization and implemented to this day, always complying with the strictest security and data protection regulations. With its MPS-specific Machine Learning, machine learning algorithms use historical data as input to predict new values, based on the A.I.
SOURCE: bbc.com / actionsdata.com / lateralia.es / Nubeprint.com
The printing sector must also comply with the SDGs and will reap clear benefits as a result.
Companies in the printing sector should not only pay attention to the Sustainable Development Goals, but should also be aware of them and identify those that affect them. Doing so generates benefits in terms of increased sales and loyalty.
Why is it so important to comply with the SDGs?
Companies in the printing industry must align with the UN’s 2030 Agenda to ensure sustainable development and mitigate climate change, so the European Commission has initiated preliminary studies to legislate (make mandatory) the reuse of all consumables by 2024.
Why should pollution caused by a business be seen as a clear symptom of inefficient management? To understand this, let’s take a simple example whereby the WSP (Workplace Service Provider) simply sends cartridges to its customers:
1. In advance one might think that this is what its customers ask for, since no one checks whether the cartridges purchased are installed, nor whether they are replaced when they still have toner powder left, much less whether the cartridge yields in printed pages what the manufacturer says it does.
2º. As a result, customers end up buying more cartridges than they really need.
3º. The next reaction of the customers is to reduce their expenses.
4º. As a consequence, in the medium term, the WSP will see a reduction in its revenues, a trend that is accelerated in an environment of imminent economic recession such as the one we are currently experiencing.
5º. The solution will come when the WSP includes in the sale a monitoring and control service of the consumables it sells, achieving sales stability both from the point of view of price and customer loyalty.
Why does efficient management of cartridge sales result in higher sales with higher margins and stability?
While it is true that the number of cartridge units sold is reduced (since each cartridge is used to the maximum), it is no less true that cartridges are sold with higher margins and lower costs, reducing storage, shipping and order management costs.
What is the impact on the SDGs of an efficient and managed sale of consumables as described above?
The number of cartridges consumed is directly reduced by 30%.
If it is also complemented by a 100% reuse program, then the WSP will have achieved circular management of its consumables sales.
This is a very powerful message that the WSP should use with its customers, especially when dealing with public organizations such as municipalities.
Nubeprint ensures efficient management of a printer’s consumables, minimizing waste, allowing a 90-day stock forecast, grouping orders and managing them automatically. All this adds value to your company as a sustainable brand, facilitating the circular economy and with a direct impact on the SDGs.
SOURCE: cincodias.elpais.com / Nubeprint.com
Companies must comply with the Sustainable Development Goals (SDGs).
All corporations must seek to develop and meet their own needs without compromising the ability of future generations to meet their own.
Why is it so important to comply with the SDGs?
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According to a survey of 986 companies worldwide, 71% have already considered how to engage with the SDGs and 41% will incorporate them into their strategy over the next five years.
What are the differences between large companies and SMEs in terms of sustainability?
1ª. Knowledge of the 2030 Agenda: 80% of companies with more than 250 employees know what it is about, while below that threshold, only 25% have heard of the SDGs.
2ª. 60% of large companies have a specific sustainability department, almost nonexistent in SMEs.
3ª. In terms of monitoring metrics, only 6% of SMEs have them, compared to 33% of large companies.
What all the companies agree on is that only 10% have some kind of certification confirming their contribution to the SDGs. The two main reasons why companies are interested in complying with the 2030 Agenda are cost savings and the benefits for reputation and brand image.
How to involve SMEs in achieving the SDGs?
1º. Convince them that implementing the SDGs is not an expense, but an investment.
2º. Highlighting the benefits for the company, improving the brand, reputation, added value that increases competitiveness and attracts talent.
Finally, it should be emphasized that companies must be truly aligned with the SDGs and avoid “greenwashing”, i.e. selling themselves as a sustainable company but not being one.
Nubeprint ensures efficient management of a printer’s consumables, minimizing waste as it accurately reports the charge level of each consumable, with configurable alerts optimizing the change of ink or toner at the right time, with a direct impact on the SDGs.
SOURCE: un.org/sustainabledevelopment/en / cincodias.elpais.com / Nubeprint.com
