65 articles
Google LLC today introduced two new generative artificial intelligence models that push its Gemini family further into AI agents and multimodal creation:... Source: siliconangle.com
The model marks Google's bid to collapse the multimodal generative stack — text-to-image, image-to-video, video-to-video, audio generation — into a single... Source: venturebeat.com
Google has officially introduced Gemini Omni, a multimodal AI model that integrates reasoning abilities with creative generation across video, image, audio,... Source: testingcatalog.com
ByteDance released Lance, a 3B-parameter multimodal model under Apache 2.0, offering open, commercially usable image and video generation and editing. Source: startupfortune.com
Wirestock has secured $23 million in Series A financing as the company accelerates its push to become a leading supplier of ethically sourced multimodal... Source: citybiz.co
SenseTime's open-source SenseNova U1 model represents a paradigm shift in multimodal architecture — unifying understanding and generation in a single... Source: pandaily.com
Palo Alto, Calif, May 13, 2026 (GLOBE NEWSWIRE) -- DeepBrain AI today announced the integration of Seedance 2.0, ByteDance's latest multimodal AI video... Source: markets.businessinsider.com
Elastic (NYSE: ESTC), the Search AI Company, today announced jina-embeddings-v5-omni, a new family of multimodal embedding models with the ability to... Source: businesswire.com
Every frontier AI lab is racing to train multimodal models — and they're all hitting the same wall. Text data? Scraped. Image data? Done. Video data? Source: startuphub.ai
This blog post explores the general availability of Gemini Embedding 2, a unified multimodal model that maps text, images, video, and audio into a single... Source: developers.googleblog.com
Agentic systems often reason across screens, documents, audio, video, and text within a single perception‑to‑action loop. However, they still rely on... Source: developer.nvidia.com
Nvidia releases Nemotron 3 Nano Omni, an open multimodal model for text, image, video and audio. Not only the performance is exciting, but also a look at... Source: the-decoder.com
Understanding and predicting the properties of inorganic materials is crucial for accelerating advancements in materials science and driving applications in... Source: nature.com
Healthcare and life sciences decision making increasingly relies on multimodal data to diagnose diseases, prescribe medicine and predict treatment outcomes,... Source: aws.amazon.com
Moonshot AI, the Chinese AI lab behind the Kimi assistant, today open-sourced Kimi K2.6 — a native multimodal agentic model that pushes the boundaries of... Source: marktechpost.com
Video semantic search is unlocking new value across industries. The demand for video-first experiences is reshaping how organizations deliver content,... Source: aws.amazon.com
Compare Happy Horse 1.0 and Seedance 2.0 across storytelling, multimodal control, audio support, and image-to-video workflow performance. Source: natlawreview.com
What if you could query a video the same way you query text? With recent advances in multimodal large language models (LLMs), we are moving beyond text-only... Source: blogs.oracle.com
Universal & Dynamic Video Intelligence Architecture: First commercially available solution for inline, frame-accurate, multimodal AI built natively into a. Source: prnewswire.com
Google Gemma 4: Google has introduced its new artificial intelligence model, Gemma 4, expanding its lineup of AI tools with a focus on multimodal... Source: msn.com