Page 2: Research news on Human-centered AI interfaces

Human-centered AI interfaces encompass computational systems that use machine learning, generative models, and multimodal sensing to mediate, augment, or interpret human communication and behavior. Work in this area spans assistive communication for speech, hearing, and motor impairments, real-time sign language and speech technologies, and social robots that adapt behavior and express empathy. Vision-language models and video analytics support long-video reasoning, activity recognition, and error detection, while interactive agents, privacy-aware speech systems, and affect-sensitive tools enable more accessible, expressive, and context-aware human–AI interaction across physical and virtual environments.

Machine learning & AI

Don't let AI give your eulogy

There was something a bit off about a speech at one of my recent colleague's retirements. It was beautifully written, very generously worded and the pacing was impeccable. And yet, I hate to say it, it was utterly lifeless.

Machine learning & AI

AI galaxy hunters could be adding to the global GPU crunch

NASA announced that it will launch the Nancy Grace Roman space telescope into orbit in September 2026, eight months ahead of schedule. The new space telescope is expected to deliver 20,000 terabytes of data to astronomers ...

Consumer & Gadgets

What does it mean to train an AI to speak like you?

Ultra-personalized artificial intelligence for assisted communication risks muting aspects of the user's identity and occasionally breaches privacy, according to a new study from a Cornell Tech doctoral student who trained ...

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