Here are some of the latest trends in AI that are currently being researched and developed:

1. Generative Pre-training Transformer (GPT) models: These models are pre-trained on large amounts of data and can then be fine-tuned for specific tasks, such as language translation and text generation.
2. Explainable AI (XAI): This trend focuses on developing AI systems that can explain their decision-making process and reasoning.
3. Reinforcement Learning: This is a type of machine learning that is based on the idea of training AI models through trial and error, and rewards and punishments.
4. Edge AI: Edge AI refers to the deployment of AI models on devices at the edge of the network, such as smartphones, IoT devices, and cameras, rather than in a centralized data center.
5. Adversarial Machine Learning: This trend focuses on developing AI models that can detect and defend against malicious attacks, such as adversarial examples and data poisoning.
6. Multi-modal AI: This trend is focused on developing AI models that can process and understand multiple forms of input, such as text, images, and audio.
7. Robotics and Autonomous Systems: This trend is focused on the development of robots and autonomous systems that can perform tasks and make decisions on their own.
8. Natural Language Processing (NLP): This trend is focused on developing AI models that can understand, interpret, and generate human language.
9. Computer vision: This trend is focused on developing AI models that can understand, interpret and make decisions based on visual data, such as images and videos.
10. Generative Adversarial Networks (GANs): GANs are neural networks that are used to generate new data, such as images, videos and audio, which are similar to real-world data.

These trends are constantly evolving and new trends are emerging as researchers and developers continue to push the boundaries of AI.