Artificial Intelligence of Things (AIoT)
STM32-NUCLEO based edge AI
The technological conversation is shifting from the Internet of Things (IoT) to the Artificial Intelligence of Things (AIoT), a powerful convergence that integrates the sensor-driven, networked structure of IoT with the decision-making power of Artificial Intelligence (AI) at the edge. AIoT transforms devices from mere data collectors into intelligent systems capable of interpreting information, learning from patterns, and supporting automated decisions. By embedding intelligence closer to where data is generated (edge computing), AIoT reduces latency and bandwidth dependence, enabling businesses to react faster and improve operational efficiency and reliability. Key benefits include boosting operational efficiency, enhancing safety, streamlining predictive maintenance, and maximizing data value across various sectors. Use cases span manufacturing, smart cities, retail, healthcare, and logistics, demonstrating AIoT's role in creating smarter, more responsive systems that deliver personalized experiences and drive measurable business outcomes.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
Loading virtual attendance info...
- Fac. de Engenharia, Instituto Telec -DEM
- Universidade da Beira Interior
- Covilhã, Castelo Branco, Portugal, Centro
- Portugal 6201-001
- Building: 8
- Room Number: Meeting Room -Dep. Electromechanical Eng.
- Click here for Map
- Contact Event Host
- Co-sponsored by Instituto de Telecomunicações
Speakers
Pietro Ferreira of Instituto de Telecomunicações and Instituto Superior Técnico
AIoT
The technological conversation is shifting from the Internet of Things (IoT) to the Artificial Intelligence of Things (AIoT), a powerful convergence that integrates the sensor-driven, networked structure of IoT with the decision-making power of Artificial Intelligence (AI) at the edge. AIoT transforms devices from mere data collectors into intelligent systems capable of interpreting information, learning from patterns, and supporting automated decisions. By embedding intelligence closer to where data is generated (edge computing), AIoT reduces latency and bandwidth dependence, enabling businesses to react faster and improve operational efficiency and reliability. Key benefits include boosting operational efficiency, enhancing safety, streamlining predictive maintenance, and maximizing data value across various sectors. Use cases span manufacturing, smart cities, retail, healthcare, and logistics, demonstrating AIoT's role in creating smarter, more responsive systems that deliver personalized experiences and drive measurable business outcomes.
Biography:
Pietro FERREIRA (IEEE S'03-SG'06-M'12-SM'18) received the B.Eng. cum lauda in Electronics and Computer Eng. in 2006, the M.Sc. in Microelectronics in 2008 from the Federal University of Rio de Janeiro (UFRJ), Brazil, the Ph.D. degree in Communications and Electronics in 2011 from the Télécom Paris (IPP), France, and Research Direction Diploma (HDR) in Physics in 2019 from the Université Paris-Saclay, France. Researching high-performance high-reliability circuits and systems, he joined IM2NP lab. (UMR CNRS 7334) for one year and IEMN lab. (UMR CNRS 8520) for two years during his tenure track. From 2014 to 2024, he was Associate Professor at Université Paris-Saclay, CentraleSupélec, GeePs (UMR CNRS 8507). Since 2024, he is Full Professor at Université Savoie Mont-Blanc, CROMA (UMR CNRS 5130). His research interests are design methodologies and microwave instrumentation techniques for ultra-low power integrated circuits in harsh environments. Recent projects aim the Internet of Things industry considering IA-edge and reliability.
Email:
Address:Rue du Lac de la Thuile Bat 21 73370 Le Bourget du Lac, Bureau 226, Chambéry, France
Agenda
09:00 Pietro Ferreira, USMB and CROMA, Artifical Intelligence of Things
Media
| Poster of the even | AIoT | 681.80 KiB |