Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging ...

A glass of water may look perfectly uniform, but at the molecular level, it could be carrying two different forms that are ...

Meta's FAIR research team has released Brain2Qwerty v2, a model that reconstructs full sentences from non-invasive brain recordings. The average word error rate drops ...

In this work, we propose an unsupervised deep learning model to address multi-focus image fusion problem. First, we train an encoder-decoder architecture in unsupervised manner to acquire deep feature ...

Add Decrypt as your preferred source to see more of our stories on Google. Meta introduced Brain2Qwerty v2, a non-invasive AI system that decodes brain activity into text. The model achieved 61% ...

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

This postdoctoral researcher explores how metabolic states, such as after a meal, influence T cell immunity and functional programming.