ASUS IoT Partners with Google to Enhance Coral Edge AI Platform Expansion
Google Partners with ASUS IoT to Scale Coral Edge AI Platform
Google has selected ASUS IoT as its partner to enhance the manufacturing, distribution, and support of its Coral edge AI platform. Introduced in 2019, Coral aims to democratize access to edge AI technology. The demand for Coral has grown significantly across various sectors and regions, prompting Google to seek a dependable partner for scaling operations.
ASUS IoT, a subsidiary of the ASUS brand, brings decades of expertise in global electronics manufacturing to this partnership. It was the first to launch a Coral System-on-Module (SoM) product with the Tinker Edge T development board. Moreover, ASUS IoT has integrated Coral accelerators into its intelligent edge computers and was the pioneer in releasing a multi-Edge TPU device via the AI Accelerator PCIe Card.
In a recent blog post, Google expressed its enthusiasm for the innovative applications customers have developed using Coral. With ASUS IoT’s expanded sales, support, and resources, the Coral team aims to concentrate on advancing privacy-preserving features and tools for neural computing at the edge. While Google will maintain oversight of the Coral brand and product offerings, ASUS IoT will manage primary sales and support channels, facilitating wider availability in more regions.
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AI News: A Glimpse into Tech Innovations
Artificial Intelligence (AI) is rapidly transforming various sectors, from healthcare to finance. As machine learning algorithms evolve, the capabilities of AI technologies grow more sophisticated, enabling new applications that were once thought impossible. Organizations are harnessing AI to improve efficiency, enhance customer experiences, and drive innovation.
Data privacy remains a critical consideration as these technologies develop. Striking a balance between harnessing the power of AI and safeguarding personal information is imperative. Regulatory frameworks are also evolving to address these challenges, ensuring ethical use and transparency in AI applications.
AI in Different Industries
In healthcare, AI-driven diagnostics can help identify conditions earlier than traditional methods. In the financial sector, machine learning models analyze market trends and customer behaviors to optimize investment strategies. Moreover, in retail, AI enhances inventory management and personalizes shopping experiences for consumers.
Research and Development
Continuous research is vital to unlock further potential of AI. Collaborative efforts between academia and industry players are crucial in exploring innovative solutions that address real-world problems. This partnership not only fuels technological advancements but also prepares the workforce for future challenges.
Addressing Ethical Concerns
With advances in AI, ethical concerns regarding bias, accountability, and transparency have emerged. It’s critical for developers to ensure that AI systems are trained on diverse datasets to minimize bias, and to provide clear explanations about decision-making processes to users.
Conclusion
As AI technologies continue to evolve, they promise not only to enhance productivity but also to shape our daily lives. Ongoing dialogue around ethical considerations and privacy will be essential to foster public trust and acceptance of AI innovations.