Industry Information

The impact of AI development on the environment: electricity, water resources and air quality With the rapid development of artificial...

1. Data Analysis and Pattern Identification: AI can identify and analyze complex patterns from large amounts of climate data, helping...

1. Application of AI in Materials Science Material Design: AI accelerates the discovery and design of new materials and predicts material...

Application of AI in genetic engineering 1. Improved efficiency and accuracy: AI can accelerate the analysis and interpretation of...

1. Impact of artificial intelligence: Artificial intelligence (AI) is transforming the nature and methods of scientific research,...

Introduction: In recent years, artificial intelligence (AI) technology has been developing rapidly, bringing about a revolutionary change...

The impact of AI on behavioral pattern analysis With the rapid development of artificial intelligence (AI) technology, behavioral pattern...

What is a Deepfake? Deepfake is a technology that uses artificial intelligence and machine learning techniques to generate or manipulate...

What is responsible AI? The use of terms such as “responsible AI”, “trustworthy AI” (as used by the EU Commission) or “ethical AI” adds a...

On-device artificial intelligence On-device AI can support a variety of generative AI models Many generative AI capabilities can be run...

How NPU works The working principle of NPU is based on the operation of neural networks. It uses dedicated computing units to handle...

It refers to using different types of processors to handle diverse AI workloads to improve overall computing efficiency. This approach...

Efficient image & video architecture Refers to the design of smaller neural networks with performance equal to or better than the...

Speculative decoding is a technique that combines large models with draft models to improve token generation speed. This method is...

By reducing the bit precision of models, storage and computational demands can be decreased while maintaining the required accuracy. This...

Distillation Transferring knowledge learned from a large, complex model (often called the teacher model) to a smaller, simpler model...

In the construction and application of industry big models, the complexity of technical implementation varies greatly due to different...

Phase 1: Explore the incubation period Agriculture and energy are representative industries. There are still relatively few institutions...

"General-purpose large models lack specialized knowledge in specific domains, which necessitates training industry-specific large models...

The large model struggles to achieve a balance among specialization, generalization, and cost-effectiveness. Specialization: The accuracy...

Before the emergence of big models, artificial intelligence usually required the design of specialized algorithm models for specific...

Build Up AIOT Innovation Ecosystem Organizers: HKTDC Hong Kong Trade Development Council, IOTHK Hong Kong Internet of Things Industry...

Background In the fields of artificial intelligence and natural language processing, transformers are a revolutionary model architecture....

What is a Data Center? A Data Center is a centralized facility used to store, process, and manage large amounts of data, providing...