Optimizing AI for Industry: Beyond Brute Force Computing
January 30, 2025
In the AI era, increasing speed and computing power should not rely solely on brute-force methods. There are multiple paths to optimize AI for industrial applications, each with distinct advantages:
- Brute Force Computing Power – The U.S. approach focuses on high-performance chips, but it demands parallel advancements in energy systems.
- Logic Optimization + Specialized Hardware IP – Enhancing equivalent computing power without requiring cutting-edge chips.
- Advanced Algorithm Optimization – Significantly reducing computing power needs, allowing the use of mature process chips with ultra-low power consumption (e.g., Deepseek’s approach).
- Algorithm Optimization + Built-in Hardware IP for Industry-Specific SoCs – Customizing AI chips tailored for industrial needs.
AI Optimization Comparison
For startups and regions with limited chip technology, paths 2, 3, and 4 provide the best opportunities. At GHE, Lotwork, and HYCO, we prioritize these approaches over brute-force computing, ensuring efficient and sustainable solutions.
The ring scanner, also known as a ring barcode scanner, has become widely used in various industries such as e-commerce warehousing, logistics, and manufacturing. It is particularly popular for tasks like assembly line scanning and package verification. But what exactly is the scanning range of a ring scanner? This is a common question among users.
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As retail chains transition into the O2O (online-to-offline) model, efficient and accurate order processing has become a core competitive advantage. The HYCO Ring Scanner and W563 Wearable Computer, as a powerful IoT device duo, work seamlessly to elevate the voice picking process. This perfect partnership revolutionizes traditional picking workflows, enhancing efficiency and optimizing operations, setting a new standard for retail efficiency.
