Natural Language Processing (NLP)

Apple cut a multi-year deal with Google to use Gemini models as the basis of AI models that reside on Apple devices.

Can your retriever find all the relevant documents for any query your users might enter? Maybe not, research shows.

Robot control systems that accept only text input struggle to translate words into motions in space. Researchers developed a system that enables robots to plan spatial paths before they execute text instructions.

What do ChatGPT’s 700 million weekly active users do with it? OpenAI teamed up with a Harvard economist to find out.

The world’s biggest retailer by revenue revealed new details about its cloud- and model-agnostic AI application development platform.

Multilingual AI models often suffer uneven performance across languages, especially in multimodal tasks. A pair of lean models counters this trend with consistent understanding of text and images across major languages.

Amazon announced Alexa+, a major upgrade to its long-running voice assistant.

To date, efforts to decode what people are thinking from their brain waves often relied on electrodes implanted in the cortex. New work used devices outside the head to pick up brain signals that enabled an AI system, as a subject typed, to accurately guess what they were typing.

Browsing the web to achieve a specific goal can be challenging for agents based on large language models and even for vision-language models that can process onscreen images of a browser.

The practice of fine-tuning models on synthetic data is becoming well established. But synthetic training data, even if it represents the training task well, may include characteristics like toxicity that impart unwelcome properties in the trained model’s output...