The revolution of artificial intelligence
The Mobile World Congress (MWC) in Barcelona, which will take place from March 3 to 6, has become the nerve center for the exhibition of the latest innovations in mobile and digital technology. Joan Mas, scientific director of the Eurecat Digital Technologies Area, emphasizes that artificial intelligence (ia) continues to capture attention, especially because of its ability to adapt and evolve quickly.
The Ascent of AI
Mas emphasizes that, after assimilating the impacts of the AI generative, the focus has moved to the AI agent. This new wave of applications is based on autonomous agents who learn from previous experiences and analyze contexts to make more informed and autonomous decisions.
Integrated technology and advanced robòtica
Congress is a showcase for the interaction of AI with other emerging technologies, such as robotics. The innovations presented include solutions that optimize and automate processes, providing unprecedented customization that improves the user’s experience.
Smart mobility: the connected future
In the context of mobility, the AI plays a crucial role in creating connected vehicles. The new 5G networks, and the future 6G, are transforming connectivity, allowing more safe and efficient interfaces between vehicles and drivers.
Extreme Computer
Computing at the extreme, which seeks to optimize data management and security, is another of the central MWC topics. This technology allows a more efficient operation and a real -time response, complementing the growing internet of things (IoT).
Innovations in mobile devices and sustainability
According to Joan Mas, the MWC also has significant advances in mobile devices, with improvements to flexible screens, efficient load systems and state -of -the -art biometric sensors. In addition, sustainability is a recurring topic, with an emphasis on reducing the environmental impact of AI technologies.
A sustainable future for technology
With the growing concern about environmental impact, Congress is approaching how to achieve a more sustainable AI. This includes devices with lower energy consumption and circular economy initiatives for responsible management of electronic resources.
