New Partnership Between ITI and Si-Ware Systems Launches Physical AI Fellowship
The Information Technology Institute (ITI), in collaboration with Si-Ware Systems, has announced the opening of applications for its specialized fellowship in Physical Artificial Intelligence. The program is exclusively tailored for graduates of the institute's AI and Machine Learning track from the 2021 to 2026 cohorts.
Program Details and Training Tracks
Spanning between 8 and 10 weeks, the training program focuses practically on training AI models to process signals generated by real physical devices and components under the direct supervision of elite sensor development engineers. The training is divided into two main tracks:
Physical AI for Gas Sensing.
Physical AI for Robotics.
Curriculum and Learning Outcomes
The fellowship's curriculum covers a comprehensive set of applied skills, including the fundamentals of Physical AI, sensor fusion techniques, data acquisition and signal analysis mechanisms, as well as building and developing intelligent models.
Eligibility Requirements and Benefits
Applicants to the fellowship are required to have a strong background in several technical and scientific areas, most notably:
Mathematics and numerical foundations.
Machine Learning and Deep Learning.
Physical systems and sensor fusion technologies.
Edge computing and application development, alongside familiarity with the scientific method and problem-solving skills.
Upon completing the training program, graduates will receive accredited certificates from both the Information Technology Institute and Si-Ware Systems.
