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University news

Connecting you to the latest AI research and innovation

Stay up-to-date with the latest news from MBZUAI and the wider industry, featuring insights into ongoing University research, innovations, and developments shaping the future of artificial intelligence. The Node gathers expert commentary, press announcements, and initiatives from the University and its partners, keeping you informed on the most relevant trends and breakthroughs.

Results: 85 Tag: computer vision
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Training multimodal AI with limited labels for a world it has never seen

Friday, 12 June, 2026

Training multimodal AI with limited labels for a world it has never seen

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A new framework from MBZUAI researchers helps AI systems remain effective when data is scarce and inputs fail.

The watermark as combination lock

Wednesday, 3 June, 2026

The watermark as combination lock

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A new system developed by MBZUAI embeds unique, key-driven watermarks into AI-generated videos, making synthetic content more traceable and resilient to tampering.

From the world we see to the scans doctors read

Tuesday, 2 June, 2026

From the world we see to the scans doctors read

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MBZUAI researchers have developed a new approach that helps AI interpret complex medical scans without sacrificing the broader visual understanding gained from large-scale training.

The watermark that wasn’t there

Monday, 1 June, 2026

The watermark that wasn’t there

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A new technique from MBZUAI researchers removes AI image watermarks in seconds – exposing potential weaknesses in one of the leading tools for identifying synthetic content.

Commencement 2026: Why Ahmed Alshamsi sees field experts and youth as the real builders of the future

Thursday, 14 May, 2026

Commencement 2026: Why Ahmed Alshamsi sees field experts and youth as the real builders of the future

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MBZUAI computer vision graduate and Y71 founder believes AI's greatest value emerges when domain experts, students, and institutions are enabled to turn real problems into practical solutions.

From first cohort to valedictorian: Hanoona Rasheed’s rise at MBZUAI

Tuesday, 12 May, 2026

From first cohort to valedictorian: Hanoona Rasheed’s rise at MBZUAI

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After six years of remarkable research and global impact, the Class of 2026 valedictorian will stay on at MBZUAI – choosing discovery over Silicon Valley.

Commencement 2026: Helping AI see the world better – to build a better world

Wednesday, 6 May, 2026

Commencement 2026: Helping AI see the world better – to build a better world

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Muhammad Maaz aims to help AI develop a richer, more complete understanding of the visual world – an ambition well suited to his visionary spirit.

Commencement 2026: Building AI that sees what matters

Monday, 4 May, 2026

Commencement 2026: Building AI that sees what matters

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Chao Qin explains how a change in research focus led him to develop systems that can help doctors and improve patient outcomes – as well as building the largest open-source ultrasound dataset in the world.

A multi-agent system for reading research papers

Monday, 27 April, 2026

A multi-agent system for reading research papers

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MBZUAI researchers have developed Paper Circle, which helps researchers navigate thousands of papers by structuring discovery, ranking, and analysis workflows.

What it takes to teach a machine to see in Arabic

Wednesday, 22 April, 2026

What it takes to teach a machine to see in Arabic

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MBZUAI researchers have developed AIN – a multimodal model advancing Arabic AI beyond text into vision tasks.

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