What are the latest trends in AI optimization?

What are the latest trends in AI optimization?

Some of the latest trends include neural architecture search, federated learning, and optimization for edge devices.

Can you explain neural architecture search?

Neural architecture search automates the design of neural networks, optimizing their structure for better performance.

What is federated learning?

Federated learning allows models to be trained across multiple devices without sharing raw data, enhancing privacy.

How does optimization for edge devices work?

It focuses on making AI models lightweight and efficient to run on devices with limited computational power.

What are some challenges in AI optimization?

Challenges include balancing model accuracy with efficiency, managing data privacy, and dealing with hardware limitations.