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If you work in the automotive and transportation industry, spend a few minutes to read our in-depth analysis of how artificial intelligence has created new opportunities in this sector, and what tools you can use to get ahead. This article is part of GIGABYTE Technology’s ongoing “Power of AI” series, which examines the latest AI-related trends, and how intrepid visionaries can reap the benefits of this exciting paradigm shift.

Can Artificial Intelligence really mimic a human being? And what are the most popular examples of deep learning applications in recent years?

5G communications has been a very hot topic in recent years. Due to some of the key attributes such as faster data transfer rate, low latency and high connectivity, people can start to develop applications including industry 4.0, autonomous cars, and build a smart city etc. However, until the day comes when 5G is widely applied in our everyday technologies, people still wonder what exactly is 5G? How is it different from 4G? Despite a proclaimed faster data transfer rate, how will it impact the next tech evolution?

Recently, 5G communications technology has been frequently talked about in relation to various major industries – it even seems that in order to keep up with technology trends, everything should be connected with 5G! When discussing 5G however, key features such as high bandwidth, low latency and high connection density must definitely be mentioned. As the coming of 5G will revolutionize our future lives, let’s understand more clearly about 5G directly from some real-world examples! And what key role does GIGABYTE play in this next generation communications technology?

With the proliferation of 5G communications technology, edge computing—the practice of performing computing tasks as physically or logically close as possible to where data is created and commands are executed—has begun to permeate the modern world of smart technology. In this article, we explore the concept of edge computing in detail, and explain how it offers many excellent advantages, especially in terms of latency reduction for applications that rely on real-time decision-making.

In an era where the scale of AI models is rapidly expanding and data generation is unprecedented, enterprise IT infrastructure faces a significant challenge. Traditional centralized architectures, which focus on single-node computing power, are struggling to cope with the massive and diverse data flowing from the cloud, the edge, and endpoints. Consequently, the role of data is being redefined. It is no longer just a computational aid, but the core asset driving decision-making, innovation, and operational efficiency. Enterprises that fail to upgrade their infrastructure accordingly will face challenges such as data processing bottlenecks, performance degradation, and increased energy consumption, driving up their Total Cost of Ownership (TCO). Facing this strategic turning point, the shift from a "Compute-Centric" to a "Data-Centric" approach is not merely a technical upgrade; it is a critical strategy for enterprise transformation in this new “AI” generation. The 2025 HPC conference, SC25, features the theme "HPC Ignites" and highlights "Data-Intensive Science," clearly reflecting this data-driven change: HPC is no longer confined to science and research, but is accelerating its penetration into the enterprise core and becoming the decisive force in the AI competition.

Developed by the Automotive Research Testing Center (ARTC), the WinBus is Taiwan’s first self-driving electric bus that has reached SAE Level 4 Driving Automation. GIGABYTE PILOT, GIGABYTE Technology’s Autonomous-Driving Control Unit (ADCU), is the AI Mobile Edge Computing Platform at the heart of the autonomous vehicle. It provides superb processing power to support the deployment of self-driving AI algorithms, versatile connectivity to act as the hub between onboard sensors and the vehicle control system, and a rugged and reliable design that is ready for long-term operations. GIGABYTE PILOT is the ideal choice for autonomous vehicles, vessels, heavy machinery, and autonomous mobile robots (AMRs).