Sample Efficiency, a critical factor in modern AI models

Sample Efficiency is the ability of AI models to learn effectively from limited data, playing an important role in Efficient AI, SMoPE and modern Foundation Models. What is Sample Efficiency?…

Sparse Activation, the mechanism that makes AI models more powerful while optimizing computational cost

Sparse Activation is a sparse activation mechanism in AI that enables models to activate only the necessary experts, thereby improving performance while significantly reducing computational cost. What is Sparse Activation?…

Input-Adaptive Prompt Experts, a new advancement of Prompt Tuning in AI Vision

Input-adaptive prompt experts are adaptive prompt mechanisms used in VAPT, enabling AI Vision systems to improve accuracy and efficiency under low-data conditions. What are Input-Adaptive Prompt Experts? Input-adaptive prompt experts…

Prompt-Based Learning, modern AI models learn through prompts instead of traditional fine-tuning

Prompt-Based Learning is an approach that enables AI systems to learn through prompts instead of traditional fine-tuning, opening a new paradigm for modern NLP and Generative AI. What is Prompt-Based…

Foundational Vision Models, the new foundation of modern AI Vision

Foundational Vision Models are foundational vision architectures that enable modern AI Vision systems to improve generalization capability, reduce deployment costs and optimize fine-tuning efficiency. What are Foundational Vision Models? Foundational…

5 core principles of responsible AI

Responsible AI is an approach to developing AI systems that emphasizes fairness, transparency, safety and privacy protection, enabling technology to serve people in a more sustainable way. What is responsible…

Why do hospitals need AI systems to support physicians today?

AI systems supporting physicians help hospitals reduce operational pressure, accelerate medical data processing, assist diagnosis and improve patient experience in today’s healthcare environment. Why is the healthcare industry increasingly in…

How AI-assisted decision making is improving enterprise accuracy

AI-assisted decision making helps enterprises analyze large-scale data, improve accuracy, reduce subjectivity and respond faster in real time. Why enterprises increasingly need AI-assisted decision making Modern enterprises must process rapidly…

How far has artificial intelligence in Vietnam progressed today?

Artificial intelligence in Vietnam is developing rapidly through national strategies and digital data infrastructure, but still faces major challenges in practical deployment. Artificial intelligence today is becoming strategic infrastructure Artificial…