Samsung R&D Institute Bangladesh (SRBD) has introduced TechTalk, a new series of expert-led sessions aimed at promoting continuous learning and innovation within the organization. These sessions bring together distinguished professionals from both academia and industry to share their knowledge, experiences, and insights on emerging technologies. The aim for this new initiative is to foster knowledge exchange, collaboration, and innovative thinking across the organization.

The inaugural session of TechTalk was on "On-Device AI". The event was led by Dr. Nabeel Mohammed, an Associate Professor in the Electrical & Computer Engineering department at North South University. The session highlighted the transformative potential of On-Device AI integration into smartphones, tablets, and other devices, eliminating the need for cloud servers. This approach offers three significant benefits: enhanced user privacy through local data processing, reduced costs by minimizing reliance on cloud infrastructure, and improved performance by removing network latency.

SRBDians engaged in an insightful discussion, gaining a deeper understanding of the impacts of On-Device AI. The lively Q&A session reflected the audience's enthusiasm for how this technology could revolutionize the tech landscape, making AI more private, cost-effective, and user-friendly. Attendees left inspired, equipped with valuable knowledge about how On-Device AI is shaping the future of smart technology.

The second session of TechTalk focused on incorporating AI into the medical domain, led by Dr. Farig Yousuf Sadeque from BRAC University. The discussion focused on leveraging AI models to improve diagnostic accuracy and report generation, emphasizing transparency and trust in clinical applications. Participants explored scalability, ethical considerations, and practical integration of AI in healthcare, gaining insights into fostering collaboration between clinicians and AI developers.

The last TechTalk session of the first quarter of this year was on integrating IoT and ML for home-based Cardiac health monitoring, led by Dr. Fariah Mahzabeen from North South University. The discussion focused on a portable platform using an advanced ML algorithm to assess health risks, combining manual inputs and sensor data for accurate predictions. Participants explored the model's architecture, deployment, and development challenges, gaining insights into its technical and practical applications. The session highlighted the potential of IoT and ML in transforming healthcare by enabling real-time, at-home monitoring for early risk detection, despite challenges like data limitations and sensor reliability.