At MulticoreWare, we are dedicated to fostering innovation and excellence in education and research. Our participation in the Faculty Development Programs is an important initiative that facilitates collaboration between academia and industry and through these collaborative initiatives, we enable faculty members to drive progress and inspire the next generation of innovators.
The AICTE-ATAL Faculty Development Program, titled “Cutting-Edge AI for Autonomous Vehicles: Advanced Research and Innovations,” aimed to empower educators and researchers with advanced knowledge and skills in AI technologies, was held from December 9-14, 2024, at the Kalasalingam Academy of Research and Education.
Vish Rajalingam, VP & GM, Mobility & Transportation, served as a distinguished Resource Person, delivering an expert session that was highly praised for its depth and engagement. His presentation on advancements in AI for autonomous vehicles provided invaluable insights and practical knowledge, significantly contributing to the programme’s success.
The initiative saw active participation from faculty members across over 15 institutions, all of whom rated the session as highly valuable. The consolidated feedback ranked Vish’s session as the top presentation of the event, underscoring the strong positive impact MulticoreWare continues to make in the academic and research community. We are honored to have contributed to this effort and look forward to continued partnerships and opportunities to drive progress in the field of AI.
MulticoreWare Embedded Systems Technology Unit (ESTU) has a strong background on RISC-V concepts, high quality projects based on RISC-V and is highly specialized in achieving high speed computations using RISC-V.
Balaji Viswanathan, Head of Embedded Systems, and Surya Prakash, Technical Lead, served as resource persons for an online Faculty Development Programme organized by the Department of Computer Science and Engineering at Thiagarajar College of Engineering. On December 10, 2024, a hands-on training on “Embedded Computing: RISC-V” was conducted for the faculty members, demonstrating MulticoreWare’s commitment to advancing education and research in cutting-edge technologies.
The technical workshop focused on educating the audience about achieving high-performance computing with RISC-V. It began with an introduction to Embedded Computing, followed by a discussion on the classification and characteristics of Embedded Systems. Next, Computing Architectures were explored, detailing their descriptions, features, and use cases. The workshop concluded with an in-depth discussion on the key factors affecting compute efficiency in designing high-performance embedded computing systems.
Participants engaged in hands-on assignments and accessing resources designed to facilitate independent implementation of RISC-V concepts.