With the development of deep learning and the increase in the amount of data, general artificial intelligence models have become a popular research area nowadays. When facing a new application ...

Conclusion With AI training data so readily available, it becomes important to determine how data is managed, both offline and online. “What this means is how the device treats the data, and leaks can ...

ShengShu says its Vidar embodied AI model combines physical data and simulated video for a more scalable path to training real-world robots.

Enterprises can use a powerful, near topline OpenAI LLM on their hardware totally privately and securely, without sending data to the cloud.

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right for your workflow.

New Open Source AI Model Rivals DeepSeek's Performance—With Far Less Training Data OpenThinker-32B achieved benchmark-beating results using just 14% of the data its Chinese competitor needed, marking ...

ClinClip builds on this foundation by using a transformer-based architecture to integrate EEG and audio data, enabling the model to dynamically adjust to the cognitive state of the listener.