Antonio Tavera

Focoos AI: Building the Future of Computer Vision

What if your computer vision models could be 10x faster and 4x cheaper to run? Learn how to deploy optimized AI on any edge device.

Focoos AI: Building the Future of Computer Vision
#1about 1 minute

The inefficiency of modern computer vision models

Current AI models are too large and computationally expensive to run efficiently on low-power edge devices.

#2about 1 minute

Introducing the Focoos AI developer platform

Focoos provides a development platform and an open-source library to simplify the entire computer vision application lifecycle.

#3about 1 minute

Achieving high performance on low-power devices

The platform delivers models that are 10 times faster and reduce development time by 90% for various applications.

#4about 1 minute

The team behind Focoos and a call to action

The research-driven team is seeking developers, advisors, and partners to test the platform and grow the business.

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The future of AI in DevOps and MLOps
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Navigating the AI Wave in DevOps

Overcoming the primary challenges of edge AI development
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Trends, Challenges and Best Practices for AI at the Edge

The exciting future of developer tools and platforms
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The exciting future of developer tools and platforms

Transforming Software Development: The Role of AI and Developer Tools

Getting started with the Azure AI Foundry platform
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Getting started with the Azure AI Foundry platform

How Mixed Reality, Azure AI and Drones turned me into a Magician?

Leveraging open software and AI for code development
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Leveraging open software and AI for code development

The Future of Computing: AI Technologies in the Exascale Era

Future outlook on AI agents and open standards
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Future outlook on AI agents and open standards

Exploring AI: Opportunities and Risks in Development

Shifting focus from platforms to developer productivity
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Shifting focus from platforms to developer productivity

Forget Developer Platforms, Think Developer Productivity!

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Building an AI-ready architecture for autonomous driving

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