Connected intelligent machines: The future of AI and 5G

 

Connected intelligent machines: The future of AI and 5G

Artificial intelligence (AI) and 5G are two of the most disruptive technologies of our time. They have the potential to transform various industries, such as manufacturing, transportation, healthcare, and entertainment. But what if we could combine them to create a new paradigm of connected intelligent machines?

Connected intelligent machines are devices that can communicate with each other and with the network, using AI to sense, reason, and act autonomously. They can also leverage the high performance, low latency, and massive connectivity of 5G to enable new use cases and applications that were not possible before.

In this blog post, we will explore some of the benefits and challenges of connected intelligent machines, as well as some of the examples and trends that are shaping this emerging field.

Benefits of connected intelligent machines

Connected intelligent machines can offer several advantages over traditional devices, such as:

• Enhanced efficiency and productivity: Connected intelligent machines can optimize their operations and resources, coordinate their actions, and learn from each other to improve their performance and outcomes. For example, a fleet of autonomous vehicles can share traffic information and route planning to reduce congestion and emissions.
• Improved safety and reliability: Connected intelligent machines can monitor their own health and status, detect and prevent faults, and recover from failures. They can also alert human operators or other machines in case of emergencies or anomalies. For example, a smart factory can detect defects in its products or equipment and take corrective actions or request maintenance.
• Increased flexibility and adaptability: Connected intelligent machines can adapt to changing environments, user preferences, and business needs. They can also customize their services and interactions according to the context and situation. For example, a smart home can adjust its lighting, temperature, and entertainment based on the time of day, weather, and occupancy.
• New experiences and opportunities: Connected intelligent machines can create new forms of entertainment, education, and social interaction. They can also enable new business models and revenue streams for service providers and developers. For example, a virtual reality game can use 5G and AI to create immersive and realistic scenarios that respond to the player’s actions.

Challenges of connected intelligent machines

Connected intelligent machines also pose some technical and societal challenges that need to be addressed, such as:

• Data privacy and security: Connected intelligent machines generate and consume large amounts of data, which may contain sensitive or personal information. This data needs to be protected from unauthorized access, manipulation, or leakage. Moreover, the users need to have control over their data and how it is used by the machines or third parties.
• Ethics and trust: Connected intelligent machines may make decisions or actions that affect human lives or values. These decisions or actions need to be transparent, explainable, fair, and accountable. Moreover, the users need to trust that the machines will act in their best interest and respect their autonomy and dignity.
• Regulation and governance: Connected intelligent machines may operate across different domains, jurisdictions, and stakeholders. This requires clear and consistent rules and standards for their design, development, deployment, and operation. Moreover, there needs to be a mechanism for resolving conflicts or disputes that may arise among the machines or between the machines and humans.

Examples of connected intelligent machines

Connected intelligent machines are already being deployed or tested in various domains and scenarios. Here are some examples:

• Smart factories: Ericsson¹ is using 5G and AI to enable smart factories that can automate production processes, optimize resource utilization, improve quality control, and enhance worker safety. For example, Ericsson’s factory in Tallinn¹, Estonia uses 5G-connected robots that can collaborate with each other and with humans to assemble products.
• Internet of drones: Ericsson¹ is also developing an Internet of drones platform that can enable drone-based services such as delivery, inspection, surveillance, or entertainment. The platform uses 5G and AI to provide connectivity, navigation, coordination, security, and management for drones. For example, Ericsson’s drone zone¹ in Kista¹, Sweden showcases how drones can perform tasks such as delivering packages or inspecting infrastructure.
• Smart homes: Google² is using 5G and AI to enable smart homes that can provide personalized and convenient services for users. For example, Google Nest² is a family of devices that can control the temperature, lighting, security, and entertainment of a home. Google Assistant² is an AI-powered voice assistant that can interact with users and other devices to answer questions, perform tasks, or provide recommendations.

Trends towards the 6G era

Connected intelligent machines are expected to evolve further as we move towards the 6G era. According to Ericsson³, some of the network trends that will shape this evolution are:

• Multisensory communication: Connected intelligent machines will be able to communicate using multiple senses, such as vision, sound, touch, or smell. This will enable richer and more immersive experiences for users and other machines. For example, a virtual reality headset could use multisensory communication to create realistic and interactive scenarios that stimulate all the senses.

• Semantic communication: Connected intelligent machines will be able to communicate using semantics, or the meaning and context of information, rather than just syntax, or the structure and format of information. This will enable more efficient and accurate communication among machines that have different data formats, protocols, or languages. For example, a smart car could use semantic communication to understand and cooperate with other vehicles, pedestrians, or infrastructure.

• Joint communication-sensing: Connected intelligent machines will be able to use communication signals as a sensing tool, or vice versa, to obtain information about their environment or other entities. This will enable new applications and services that rely on spatial awareness, localization, or mapping. For example, a drone could use joint communication-sensing to navigate and avoid obstacles in complex environments.

  
  

Connected intelligent machines are a new paradigm of AI and 5G that will transform various industries, domains, and scenarios. They offer several benefits, such as enhanced efficiency, productivity, safety, reliability, flexibility, adaptability, experiences, and opportunities. They also pose some challenges, such as data privacy, security, ethics, trust, regulation, and governance. They are already being deployed or tested in various examples, such as smart factories, Internet of drones, or smart homes. They are expected to evolve further towards the 6G era, with network trends such as multisensory communication, semantic communication, or joint communication-sensing.

If you want to learn more about connected intelligent machines,

you can visit Ericsson’s website¹

or read Ericsson’s report on technology trends 2021³.

Received message. # Connected intelligent machines: The future of AI and 5G Artificial intelligence (AI) and 5G are two of the most disruptive technologies of our time. They have the potential to transform various industries, such as manufacturing, transportation, healthcare, and entertainment. But what if we could combine them to create a new paradigm of connected intelligent machines? Connected intelligent machines are devices that can communicate with each other and with the network, using AI to sense, reason, and act autonomously. They can also leverage the high performance, low latency, and massive connectivity of 5G to enable new use cases and applications that were not possible before. In this blog post, we will explore some of the benefits and challenges of connected intelligent machines, as well as some of the examples and trends that are shaping this emerging field. ## Benefits of connected intelligent machines Connected intelligent machines can offer several advantages over traditional devices, such as: - **Enhanced efficiency and productivity**: Connected intelligent machines can optimize their operations and resources, coordinate their actions, and learn from each other to improve their performance and outcomes. For example, a fleet of autonomous vehicles can share traffic information and route planning to reduce congestion and emissions. - **Improved safety and reliability**: Connected intelligent machines can monitor their own health and status, detect and prevent faults, and recover from failures. They can also alert human operators or other machines in case of emergencies or anomalies. For example, a smart factory can detect defects in its products or equipment and take corrective actions or request maintenance. - **Increased flexibility and adaptability**: Connected intelligent machines can adapt to changing environments, user preferences, and business needs. They can also customize their services and interactions according to the context and situation. For example, a smart home can adjust its lighting, temperature, and entertainment based on the time of day, weather, and occupancy. - **New experiences and opportunities**: Connected intelligent machines can create new forms of entertainment, education, and social interaction. They can also enable new business models and revenue streams for service providers and developers. For example, a virtual reality game can use 5G and AI to create immersive and realistic scenarios that respond to the player's actions. ## Challenges of connected intelligent machines Connected intelligent machines also pose some technical and societal challenges that need to be addressed, such as: - **Data privacy and security**: Connected intelligent machines generate and consume large amounts of data, which may contain sensitive or personal information. This data needs to be protected from unauthorized access, manipulation, or leakage. Moreover, the users need to have control over their data and how it is used by the machines or third parties. - **Ethics and trust**: Connected intelligent machines may make decisions or actions that affect human lives or values. These decisions or actions need to be transparent, explainable, fair, and accountable. Moreover, the users need to trust that the machines will act in their best interest and respect their autonomy and dignity. - **Regulation and governance**: Connected intelligent machines may operate across different domains, jurisdictions, and stakeholders. This requires clear and consistent rules and standards for their design, development, deployment, and operation. Moreover, there needs to be a mechanism for resolving conflicts or disputes that may arise among the machines or between the machines and humans. ## Examples of connected intelligent machines Connected intelligent machines are already being deployed or tested in various domains and scenarios. Here are some examples: - **Smart factories**: Ericsson is using 5G and AI to enable smart factories that can automate production processes, optimize resource utilization, improve quality control, and enhance worker safety. For example, Ericsson's factory in Tallinn, Estonia uses 5G-connected robots that can collaborate with each other and with humans to assemble products. - **Internet of drones**: Ericsson is also developing an Internet of drones platform that can enable drone-based services such as delivery, inspection, surveillance, or entertainment. The platform uses 5G and AI to provide connectivity, navigation, coordination, security, and management for drones. For example, Ericsson's drone zone in Kista, Sweden showcases how drones can perform tasks such as delivering packages or inspecting infrastructure. - **Smart homes**: Google is using 5G and AI to enable smart homes that can provide personalized and convenient services for users. For example, Google Nest is a family of devices that can control the temperature, lighting, security, and entertainment of a home. Google Assistant is an AI-powered voice assistant that can interact with users and other devices to answer questions, perform tasks, or provide recommendations. ## Trends towards the 6G era Connected intelligent machines are expected to evolve further as we move towards the 6G era. According to Ericsson, some of the network trends that will shape this evolution are: - **Multisensory communication**: Connected intelligent machines will be able to communicate using multiple senses, such as vision, sound, touch, or smell. This will enable richer and more immersive experiences for users and other machines. For example, a virtual reality headset could use multisensory communication to create realistic and interactive scenarios that stimulate all the senses. - **Semantic communication**: Connected intelligent machines will be able to communicate using semantics, or the meaning and context of information, rather than just syntax, or the structure and format of information. This will enable more efficient and accurate communication among machines that have different data formats, protocols, or languages. For example, a smart car could use semantic communication to understand and cooperate with other vehicles, pedestrians, or infrastructure. - **Joint communication-sensing**: Connected intelligent machines will be able to use communication signals as a sensing tool, or vice versa, to obtain information about their environment or other entities. This will enable new applications and services that rely on spatial awareness, localization, or mapping. For example, a drone could use joint communication-sensing to navigate and avoid obstacles in complex environments. ## Conclusion Connected intelligent machines are a new paradigm of AI and 5G that will transform various industries, domains, and scenarios. They offer several benefits, such as enhanced efficiency, productivity, safety, reliability, flexibility, adaptability, experiences, and opportunities. They also pose some challenges, such as data privacy, security, ethics, trust, regulation, and governance. They are already being deployed or tested in various examples, such as smart factories, Internet of drones, or smart homes. They are expected to evolve further towards the 6G era, with network trends such as multisensory communication, semantic communication, or joint communication-sensing. If you want to learn more about connected intelligent machines, you can visit [Ericsson's website](https://www.ericsson.com/en/ai/connected-intelligent-machines) or read [Ericsson's report on technology trends 2021](https://www.ericsson.com/en/reports-and-papers/ericsson-technology-review/articles/technology-trends-2021) . I hope you enjoyed this blog post. Please let me know what you think in the comments below. Thank you for reading! 😊