Inspection Reimagined: How AI Redefines the Future of Vision

Visual inspection is evolving from a static process into an intelligent, adaptive system. This presentation explores how a deep learning and meta-learning platform can transform inspection through four critical capabilities: model insight, continuous feedback, automated judgment, and accelerated innovation.

Model insight empowers engineers to actively shape AI performance during training, visualizing how models learn, identifying weak spots in real-time, and iteratively refining architectures before deployment. This hands-on approach transforms model development from an opaque process into a collaborative design activity where domain expertise directly improves AI outcomes. Continuous feedback loops turn every inspection into a learning opportunity. The platform captures edge cases, adapts to manufacturing variations, and evolves with production realities without manual retraining, creating living intelligence that improves over time.

Automated judgment scales expert decision-making across operations. Meta-learning enables the system to codify quality standards from minimal examples, making consistent decisions on routine cases while routing ambiguous situations to human experts, eliminating inspection bottlenecks without sacrificing quality.

Accelerated experimentation compresses innovation cycles from months to days. Engineers rapidly test new inspection criteria, simulate defect scenarios, and validate quality thresholds in software before production deployment. What once required lengthy physical pilots now happens through rapid digital iteration.

Through practical examples, this presentation will demonstrate how this intelligence-driven approach doesn't just automate inspection, it accelerates organizational learning, enabling manufacturers to adapt faster, improve continuously, and turn quality control into a competitive advantage.

About the presenter
Tareq Aljaber is CEO and founder of Averroes.ai Inc., transforming semiconductor manufacturing through AI-powered visual inspection and virtual metrology. With 23 years of building products for millions of users at Microsoft, Adobe, Atlassian, and Samsung, Aljaber combines technical expertise with strategic leadership.

Aljaber helped scale Adobe Flash to 1 billion users, launched Visual Studio App Center at Microsoft, and drove adoption of Atlassian's enterprise tools. At MissingLink.ai, he accelerated data science platform adoption as Head of Product Marketing. He holds a computer science degree and an MBA from Cal State University.

At Averroes.ai, he's filed patents on predictive maintenance and advanced imaging engines, secured major industry partnerships, and is expanding AI innovation across the MENA region.