Close
On-device AI, developed in partnership with Pcom and taught by Krishna Sher from Qualcomm, offers key skills for deploying AI models directly on mobile devices. While many AI applications use cloud-based models, local execution enhances performance, privacy, and efficiency. This course will cover how to convert trained models for mobile devices, optimize them for various hardware, and integrate them into applications, enabling real-time capabilities and personalized user experiences while ensuring data privacy.
On-device AI is taking off, enabling efficient local execution.
Local AI execution supports features like face detection and image stabilization.
On-device AI preserves user privacy by keeping data local.
Model quantization can improve performance while reducing model size.
The growth of on-device AI significantly enhances data privacy by ensuring that sensitive information does not leave the user's device, mitigating risks associated with cloud data breaches. This shift is vital in consumer applications, where personal data security is paramount. Companies deploying AI should prioritize developing local processing capabilities to meet public demand for privacy in AI interactions.
Integrating AI capabilities on mobile devices can revolutionize user experiences by allowing real-time processing and personalized solutions, such as in the fields of augmented reality and intelligent photography. The potential for numerous AI models existing simultaneously on a single device presents exciting development opportunities, particularly in optimizing hardware performance tailored to various user needs across over 300 device types.
On-device AI allows applications to run without cloud dependency, improving efficiency and responsiveness.
It's crucial for deploying models across various device types with limited resources.
This process is highlighted as essential for improving throughput and performance.
Qualcomm's work is integral to advancing on-device AI through their hardware optimizations.
Mentions: 3
This collaboration focuses on building practical applications for real-time AI implementation on mobile devices.
Mentions: 1
Parkev Tatevosian, CFA 16month
Log in
Sign Up
AI Tools - Popular
AI Tools - Categories
GPTs - Categories
AI for Jobs
Key AI Highlights in this Video
AI Expert Commentary about this Video
Key AI Terms Mentioned in this Video
Companies Mentioned in this Video
