Artificial Intelligence in the Music Industry

IAenlaMúsica

Artificial Intelligence in the Music Industry

Source: CIDIF

As in other industries, in the field of music, Artificial Intelligence (AI) has the potential to automate services, discover patterns and extract knowledge from a large amount of data.

Scott Cohen is one of the leaders in the music industry who saw the potential in using AI to promote the growth of this industry. According to him, more than 20,000 new music tracks are uploaded to Spotify every day and Artificial Intelligence would serve to make personalized recommendations. AI-generated music playlists are not just based on what you’ve listened to in the past, but what the machine considers to be “good music.”

Now, Artificial Intelligence can not only make personalized recommendations, but can also contribute directly to the creation of new music. Alan Turing, the well-known British programming scientist, was the first to record computer-generated music. Through Machine Learning, an algorithm creates music patterns considered “pleasant” to the human being or that imitate a certain genre.

Today, many are following the Turing legacy. The AIVA software is capable of generating pieces of music according to the feeling that you want to evoke in the listener.

Santiago Velarde, a 29-year-old Peruvian composer, stands out in Amper Music, recognized worldwide for allowing users to create music in a simple way thanks to the use of Artificial Intelligence. This platform allows you to compose music in just a few minutes and in a professional way.

Despite the fact that we saw it far away for a while, today we can already find Artificial Intelligence in the composition of music, live performances and in digital sound processing. This opens up a moral and philosophical debate as to whether a computer can ever replace and improve the work of a human. What do you think?.

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The birth of Smart Cities

AISmartCities

The birth of Smart Cities

Source: CIDIF

Increasingly, city administrations are turning to specialized technologies to attack social, ecological and economic problems. The incipient concept of SmartCity seeks to promote the inclusion of sensors and Big Data through what is known as the Internet Of Things (IoT). The ability to collect information in real time provides a better understanding of how cities evolve, adapt and respond to various conditions.

The areas where the SmartCity concept can be applied are varied. These include government, the economy, the environment, mobility, infrastructure, education and health.

An application with a lot of development within Smart Cities is that of image processing (Computer Vision), which has the purpose of identifying millions of simultaneous events within the urban sphere, such as people, cars, public workers, garbage, accidents , fires and natural disasters. This not only makes it possible to monitor the health of cities in real time, but also to help decision-making by organizations for the public administration.

Although Artificial Intelligence has been used extensively to attack problems of a technological nature, its potential to also contribute in human dimensions, such as Resilience, Security and Sustainability, cannot be set aside.

With the appearance of Covid-2019 we have been able to observe how the so-called Smart Cities have been able to combat the advance of the pandemic. In China, a series of measures have been deployed to control the spread of the virus that are based on the use of Artificial Intelligence and Big Data. The measures range from patrol robots that detect the use of masks in public places to infrared thermometers installed in strategic areas that can measure the temperature of ten people at a time. In South Korea, one of the most acclaimed countries for crisis management, an online coronavirus monitoring system was launched that monitors the behavior of infected patients through the use of surveillance cameras and transaction records based on credit cards. credit.

The use of information within the sphere of SmartCities has opened a debate regarding data privacy and security. The recent appearance of BlockChain technologies seeks to guarantee the transparency and security of the processes through the use of an open and transversal platform. On the other hand, it is also necessary for intelligent systems to work hand in hand with laws to protect privacy and human rights. What do you think?.

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Artificial Intelligence for the world of Medicine

IAenlaMedicina

Artificial Intelligence for the world of Medicine

Source: CIDIF

The areas where Artificial Intelligence (AI) can be applied in medicine are wide, ranging from robotic consulting physicians to diagnostic systems using image processing or Computer Vision.

It is said that Medical Artificial Intelligence allows the development of the well-known 4Ps of medicine (Prediction, Prevention, Personalization and Participation) and therefore has the ability to grant greater autonomy to patients.

One field where work with AI has recently started is Gastroenterology. This discipline normally presents a certain difficulty and complexity in the diagnosis, which is why it benefits from the use of Deep Learning algorithms and Neural Network Convolutions to detect abnormal structures, such as colon polyps or gastric cancer.

Another example of the application of AI is found in the diagnosis and treatment of rare diseases. The pharmaceutical company Bayer has teamed up with technology partners to determine the diagnosis of an individual through data on symptoms, causes, test results and images, and in turn, create new drugs through the use of Machine Learning techniques.

Finally, the use of Artificial Intelligence in the planning and monitoring of a surgical intervention is growing. Surgical robots may be able to analyze a large amount of data prior to the operation and guide the surgeon during the intervention in order to favor decision-making that results in a shorter patient stay.

One of the great barriers to the adoption of AI in medicine is the fear of dehumanization. This is largely due to the administrative burden imposed on doctors. However, modern technologies such as ACI and Natural Language Processing seek to solve the administrative burden issue and help doctors focus exclusively on patients.

Although there is a latent fear that AI could replace doctors in the future, the general opinion is that it is best to consider it as a tool with the potential to complement the intelligence of the specialist. What do you think?

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How Artificial Intelligence will transform the Renewable Energy Industry

IAEnergíasRenovables

How Artificial Intelligence will transform the Renewable Energy Industry

Source: El Periódico de la Energía

The consultancy DNV GL has published its latest document “Making renewable energies smarter: benefits, risks and future of artificial intelligence in solar and wind energy”, in which it predicts a growing use of Artificial Intelligence (AI), for which it foresees a $ 3 trillion market by 2024, across the industry, in which it analyzes its current and future potential to accelerate processes in multiple areas of renewable energy development.

The report focuses on the downstream sector and notes that wind and solar plants have already benefited from the widespread development of sensor technology and data analytics. “We look forward to the installation of more sensors, the growth of easier-to-use machine learning tools, and the continued expansion of data analysis, processing and analytics capabilities to create new operational efficiencies,” said Lucy Craig, Director of Technology and Innovation at DNV GL.

The paper expects solar and wind power to further harness the benefits of artificial intelligence in the areas of inspection and troubleshooting, where “autonomous drones with real-time AI support analytics” and “crawling robots that can get close to the surface of a structure”. Ultrasonic transmission, which can be used to penetrate structures and reveal material flaws, will pay off.

Planning and due diligence is another area that DNV GL says can benefit from the increased use of AI: “planning and analysis that today can require many human hours and thousands of documents can be greatly reduced in the future and even improved” .

DNV GL even speaks of a future in which the construction of wind and solar plants will be fully automated and carried out by ‘autonomous driving robots, which in the future may build entire terrestrial or solar wind farms: parts of a wind turbine or solar panels are transported from the factory by autonomous trucks, unloaded by another set of robots, attached to the foundations that other robots have excavated and filled, and assembled by a final set of robots and drones ”.

Despite all this potential, DNV GL points out the risks of such approaches and the danger of relying too heavily on artificial intelligence rather than the deep insights needed to manage such a system. “For the majority of participants in the renewable energy industry,” states the DNV GL press release, “building stable, progressive and reliable artificial intelligence systems requires knowledge and data sets from many different projects.”

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AgroTech: Artificial Intelligence to improve agriculture

AIAgroTech

AgroTech: Artificial Intelligence to improve agriculture

Source: CIDIF

Precision agriculture has been one of the areas that has benefited the most in recent years with the use of Artificial Intelligence. According to the Huerta Digital (https://lahuertadigital.es/agtech-tendences/), among the main trends within the world of Smart Agriculture can be named remote monitoring of crops, robotics and agricultural automation and the area of ​​research and development in genetics and biotechnology.

Within remote crop monitoring, one of AgTech’s most recent forays is the analysis and processing from satellite images. This technology has the potential to monitor droughts and predict harvests in real time over large areas.

Another topic in full development within agricultural monitoring is how to achieve effective control of pests, diseases and other risk factors for Agro. The FuturCrop company implements technologies for the automatic detection of larvae and has declared that its initiative allows a reduction of 30-50% in the use of phytosanitary products in horticultural and fruit trees.

Regarding robotics and automation in agriculture, there are different types of robots for each productive stage, ranging from drones to robotic arms specialized in the harvest of fruits and vegetables.

In short, Artificial Intelligence promises to increase productivity in the agricultural sector by allowing the business to be managed more profitably. In periods of water deficit, such as the one that has plagued a large part of Latin America in recent years, it is essential to have technologies that allow optimizing and increasing the response capacity of this industry.

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