Zyphra has released ZUNA, a foundation model for brain-computer interfaces that processes electroencephalography data and advances towards thought-to-text communication. The 380-million-parameter diffusion autoencoder model reconstructs high-fidelity brain signals from imperfect EEG data, improving diagnostics and research workflows. ZUNA works across various EEG systems, from consumer headsets to 256-electrode research equipment, predicting missing channels from sparse inputs. The model outperforms traditional spherical-spline interpolation methods, particularly with incomplete or noisy data. The San Francisco-based company released ZUNA as open-source software under an Apache 2.0 licence, with model weights available on Hugging Face and code on GitHub. Zyphra is seeking collaborations to improve future versions for specific use cases across medical devices, neuroscience research and consumer neurotechnology sectors.

IBM and AMD have partnered with Zyphra, an AI startup valued at $1 billion after its Series A funding, to provide next-generation AI infrastructure. The multi-year agreement includes deploying a large cluster of AMD Instinct MI300X GPUs and AMD Pensando network accelerators on IBM Cloud. The first phase was delivered in September, with expansion planned for 2026. Zyphra will use this to train its 'Maia' super-agent for enhancing business productivity through language, image, and sound processing.

VB Transform 2024 returns this July! Over 400 enterprise leaders will gather in San Francisco from July 9-11 to dive into the advancement of GenAI strategies and engaging in thought-provoking discussions within the community. Find out how you can attend here. Zyphra Technologies is announcing the release of Zyda, a massive dataset designed to train language models. It consists of 1.3 trillion tokens and is a filtered and deduplicated mashup of existing premium open datasets, specifically RefinedWeb, Starcoder, C4, Pile, Slimpajama, pe2so, and arxiv. The company claims its ablation studies reveal that Zyda performs better than the datasets it was built on. An early dataset version powers Zyphra’s Zamba model and will eventually be available for download on Hugging Face.Image credit: Zyphra“[We] came up with Zyda when [we] were trying to create a pretraining dataset for [our] Zamba series of models,” Zyphra Chief Executive Krithik Puthalath tells VentureBeat in an email