5 benefits of AI Platform for improving enterprise operational efficiency
31 July, 2026
AI insights
Explore the benefits of AI Platform in optimizing operations, unlocking the value of enterprise data and improving decision-making quality. Rather than deploying multiple standalone AI solutions, an AI Platform enables…
Sample Efficiency, a critical factor in modern AI models
28 May, 2026
AI insights
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
28 May, 2026
AI insights
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
28 May, 2026
AI insights
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
28 May, 2026
AI insights
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
28 May, 2026
AI insights
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
27 May, 2026
AI insights
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?
27 May, 2026
AI insights
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
27 May, 2026
AI insights
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…
Trivita Ai achieves new technological milestone at CVPR 2026: SAGE breakthrough in colorectal cancer diagnosis
March 31, 2026
Trivita AI is proud to announce that the research work “Shape-Adapting Gated Experts (SAGE)” has been officially accepted at CVPR Findings 2026, one of the world’s leading conferences in Artificial…
Trivita AI achieves a breakthrough in Efficient AI with two lead-author papers at ICLR 2026
February 27, 2026
Trivita AI is proud to announce that two breakthrough research papers in Efficient AI have been accepted at the International Conference on Learning Representations (ICLR) 2026, with Lê Đức Minh…
Trivita AI congratulates ours Founder & Chairman on receiving the COPSS Emerging Leader Award 2026
February 6, 2026
Trivita AI is honored to congratulate Professor Nhật, Founder & Chairman, on being awarded the COPSS Emerging Leader Award 2026—one of the most prestigious academic honors in modern Statistics and…
