MediaTek

Chao-Lin Lee, Chun-Ping Chung, Sheng-Yuan Cheng, Jenq-Kuen Lee, Robert Lai

The continuing prominence of machine learning has led to an increased focus on enhancing the inference performance of edge devices to reduce latency and improve efficiency. Two widely adopted strategies for accelerating computational performance are quantisation and the utilisation of AI hardware accelerators. Each type of accelerator or inference engine offers distinct advantages, with accelerators primarily designed to optimise neural network operations. In this paper, we present an innovative method for integrating TVM's quantisation flow with the MediaTek Neuropilot AI accelerator. We outline the process of converting the TVM relay intermediate-representation quantised neural network dialect model to a tensor-oriented quantisation format, with the aim of harnessing the full potential of both TVM and MediaTek NeuroPilot. This integration enables more efficient neural network inference while preserving the accuracy of the results. We assessed the effectiveness of our proposed integration by conducting a series of experiments and comparing the performance of our approach with that of TVM equipped with an autotuning mechanism. The findings indicate that our approach substantially outperforms TVM in both floating-point model inference and quantised model inference, with inference speedups of up to 11× and up to 70×, respectively. These results underscore the potential of our approach in accelerating AI performance across a diverse range of applications and edge devices. Moreover, a key contribution of our work is providing a valuable practical method for other hardware companies interested in integrating TVM with their own accelerators to achieve performance gains.

C. Yeang, Wen-Ching Sung, Zhixiang Cheng

Mobile phones were once costly devices accessible mainly to the middle class in wealthy countries. In the 2000s and 2010s, China began producing affordable handsets tailored to diverse users’ needs in the Global South. Central to these handsets was a system-on-a-chip known as the “turnkey solution,” developed by a Taiwanese firm MediaTek, which integrated chips on a reference board alongside software, design tools, and testing services. In this article, we examine how these digital processors significantly lowered the research and development barriers, accelerated production, enabled grassroots innovation, and reshaped the global mobile market. We argue that MediaTek’s service-oriented engineering culture was key to the platform’s effectiveness and sustainability. MediaTek’s turnkey solution epitomizes how hardware platforms can empower technological latecomers to challenge industrial leaders and pursue alternative sociotechnological paths.

Mediatek IFI Jakarta, as part of the Institut Français Indonésie (IFI), plays a vital role in supporting France’s cultural diplomacy in Indonesia. The library functions not only as a center for information access but also as a cultural space that facilitates language learning, exchange of ideas, and appreciation of French culture. This study aims to identify how Mediatek IFI Jakarta is utilized to strengthen France’s cultural diplomacy and foster intercultural understanding between France and Indonesia. A descriptive qualitative was employed in this research. Data were collected through interviews with two librarians and a pedagogical cooperation coordinator at IFI Jakarta. The analysis draws on Mariano’s concept of library diplomacy which made up of three dimensions: libraries in diplomacy, diplomacy for libraries, and libraries for diplomacy. The findings indicate that Mediatek IFI Jakarta supports French cultural diplomacy by shaping the library as an inclusive third place, leveraging their game collections, and designing cultural programs with the aspects of gamification to expand access and build mutual understanding of French and Indonesian cultures.

Dhaval Shrivastava, Rahul

Jessie R. Balbin, Benjie T. Guiwo, Lucky Roveel D. Arco, Audrey Shaleen G. Garcia, Dwayne Josh M. Abanes, Joshua P. Benito, Bryan Gabriel G. Ruelos

Unveiling the Power Players: A Comparative Analysis and Development of Next-Gen SoCs for Android presents a thorough examination of the latest system-on-chip (SoC) innovations. This study compares the performance, efficiency, and development trajectories of MediaTek, Exynos, Tensor, and Qualcomm. By assessing benchmark data and real-world applications, this analysis reveals the distinct advantages and limitations of each SoC. It offers valuable insights for developers, manufacturers, and consumers navigating the evolving Android ecosystem.