The 3 3 strategy is followed by the Hon Hai Research Institute (HHRI), which aims to do foresight research 3 to 7 years in the future. At the NExT Forums, which are conducted annually on March 3, June 6, September 9, and December 12, they will present their progress. The entire HHRI gathered together for the first time in 2022 Tech Day to announce their findings as a group, with a focus on electric vehicle development.

The Trapped Ion Quantum Computing Lab, as well as research centers for semiconductors, artificial intelligence, information security, quantum computing, and next-generation communications, make up the HHRI at the moment.

Center for Information Security Research

The EV platform unveiled by the Information Security Research Center, in the opinion of HHRI CEO Wei-Bin Lee, is very effective in decreasing the barrier to entry into the EV sector for information security.

It’s also a lightweight electric car with a flexible module design and open software/hardware, as well as an open autopilot system information security testing platform. The MIH structure is the foundation of the EV. The standard automotive grade CAN Bus, V2X communications, Telematics BOX, RSU, computer visuals, and applications are all included.

Lee emphasized that in the past, cars were segregated. With V2X, though, that isn’t the case anymore, especially now that smart cockpits are a hot topic. Applications like the Model digital key further emphasize the value of sharing and maintaining personal authorisation. Information security now includes human protection in addition to the information itself.

Despite this, developing vehicle information security requires several procedures. First, experts in information security are frequently unfamiliar with the car sector. So the first step is to get these skills into the industry. Next, past verification techniques are frequently merely hypotheses due to economic considerations. This issue can now be resolved thanks to the MIH open platform structure and testing platform. Last but not least, EV will eventually be able to test semiconductors, AI, communications, quantum, and other technologies, making it a multipurpose validation platform.

Naturally, automakers seek to draw customers in with benefits, but information security is not one of those perks, in Lee’s opinion. He urged automakers to publish their technology and data in order to create a more safe environment for vehicle information security. The client needs to feel secure and impressed at the same time.

Center for Semiconductor Research

According to Hao-Chung Kuo, director of the semiconductor research center, the development of vehicle radar focuses on the benefits of the “3S,” or small, safe, and superior. Microelectromechanical systems (MEMS), the previous generation of Lidar technology, have been replaced by optical phased arrays (OPA). The size of the lidars must be drastically reduced in order for them to fit inside components like automobile lights.

The OPA lidar advanced light source module, which uses three generations of materials, is the most unique project being worked on by the HHRI semiconductor research center. The first-generation Silicon semiconductors, second-generation GaAs and InP, third-generation GaN and SiC, and all of them are incorporated in this module, which has previously been granted a patent.

Center for Research in Next-Generation Communications

The next-generation communications research center’s director, Jen-Ming Wu, estimates that a generational shift occurs in the communications industry every eight years. While each generation has its unique context and growth logic, the goal is always to meet human needs. The current research priorities of the HHRI Next-Generation Communications Research Center are V2X, autopilot technology, and low-Earth orbit satellites.

The problems that arise with autopilot typically fall into one of four groups: software, hardware, human factor, or environment component. According to Wu, the percentage of the world’s population that is still not covered by a base station is about 37%. But as the V2X age begins, this might pose a serious issue.

New sorts of communication applications are made specifically for this purpose. Short-orbit satellites are one of them, and they have drawn attention recently because of characteristics like greatly decreased launch costs, high coverage rate, and low latency communication. A 6U experimental cubic satellite project already exists at HHRI. The network may be much more complete and tightly knit if V2X could communicate with low-orbit satellites.

High-definition maps are also an essential component of the development of smart cars. The next research objective for the center for next-generation communications will be the provision of a high-precision location service via low-orbit satellites.

Center for Quantum Computing Research

The focus is on enhancing battery safety, charging/releasing efficiency, and steady voltage for electric vehicles. According to Min-Hsiu Hsieh, director of the Quantum Computing Study Center, the lithium-sulfur battery and the ternary lithium battery are currently the key topics of research into electric simulation.

Benz has teamed up with IBM Quantum to conduct research on lithium-sulfur battery efficiency utilizing 21 Qubits. However, HHRI was able to accomplish the same results with only 8 Qubits. Ford has conducted simulations utilizing 20 Qubits, just as the ternary lithium battery, which has already been successfully marketed. Similar to the previous instance, HHRI reduced the depth by 90% while still achieving the same results with only 8 Qubits.

Center for Artificial Intelligence (AI) Research
The center for AI research at HHRI is primarily interested in generative AI technologies and foundation models with self-supervised training.

The foundation model can execute single-mode or multi-mission deployment, according to Yung-Hui Li, head of the AI research center, making it useful for resolving the problems of constrained hardware resources and deployment environments in self-driving cars.

It includes both implementing the virtual world into reality and implementing reality into the virtual world, similar to generative AI technology. The latter of the two can be employed in autopilot training because it offers greater accuracy.

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