Google DeepMind released EmbeddingGemma 2, an Apache 2.0-licensed open-weight multimodal embedding model that maps text, code, images, video, and audio into a shared 768-dimensional vector space. The …
Google opened its SynthID watermark detector to the public through a new dedicated website that now recognizes watermarks from partner companies including OpenAI, ElevenLabs, Kakao, and Nvidia, not ju…
OpenAI published a paper dated September 24, 2026, titled "Complex Matrix Multiplication Below 2.258 and Rectangular Bounds," claiming to prove that the matrix multiplication exponent omega is below 2…
Mistral released Mistral Large 4, a 1-trillion-parameter multimodal model trained from scratch on 3,800 Grace Blackwell GPUs in Mistral's European datacenters, with open weights promised in three week…
Google DeepMind released EmbeddingGemma 2, an open, Apache 2.0-licensed multimodal embedding model that maps text, code, images, audio and video into a single shared vector space for unified search. T…
Google DeepMind released EmbeddingGemma 2, a 740-million-parameter open embedding model that maps text, code, images, video, and audio into a single 768-dimensional vector space and runs in 567MB of R…
Google DeepMind released EmbeddingGemma 2, an Apache 2.0 open embedding model on Hugging Face that maps text, code, images, video, and audio into a single shared 768-dimension vector space, with a 270…
Google DeepMind released EmbeddingGemma 2, an open embedding model under Apache 2.0 with weights on Hugging Face that maps text, code, images, video, and audio into a single shared 768-dimensional vec…
Google LLC released EmbeddingGemma 2, an open multimodal embedding model that runs on a smartphone and extends the EmbeddingGemma line beyond text to images, audio and video in a single shared embeddi…
Google DeepMind released EmbeddingGemma 2 on October 6, 2026, a 740 million parameter open-weight multimodal embedding model under an Apache 2.0 license that permits commercial use. The model places t…
Google DeepMind launched EmbeddingGemma 2, an open-weight multimodal embedding model with 740M parameters that maps text, images, video frames, and audio into a single unified vector space for local, …
Google released EmbeddingGemma 2, a lightweight multimodal embedding model that the company says handles multiple tasks and outperforms larger rivals, succeeding the original EmbeddingGemma that Googl…
Reflection AI, a New York startup founded in 2024 by former Google DeepMind researchers Misha Laskin and Ioannis Antonoglou, unveiled Beam on Monday, an open-weight text model with 501 billion total p…
Reflection AI, an AI startup founded by two former Google DeepMind researchers and backed by Nvidia, unveiled an open-weight model called Beam on Monday (Oct 5) that it says scores comparably on advan…
Alibaba's DAMO Academy, with Renmin University of China and the University of Chinese Academy of Sciences, unveiled Elements Claw on July 3, 2026, an AI agent that screened 2.4 million candidate cryst…
OpenAI said on Monday it will add an invisible watermark called textGrain to eligible ChatGPT and Codex text output for EU users on every plan over the coming weeks to comply with the EU AI Act's requ…
Google DeepMind announced AlphaProtein Novo, a generative model that designs enzymes from scratch, with one custom enzyme synthesizing piperidine 99 times faster than the current industrial process, a…
Reflection AI unveiled Beam, an open-weight AI model with 501 billion total parameters and 23 billion active per token, on October 5, 2026, with full weights and technical documentation slated for rel…
Reflection AI published benchmark scores for Beam, its first open-weight model, showing 80.1 on Terminal-Bench 2.1 versus Z.ai's GLM 5.2 at 81.0 and 65.5 on SWE-bench Pro v1 versus GLM 5.2's 62.1, ahe…
Reflection, a startup backed by Nvidia, Sequoia, and Lightspeed and last valued at $25 billion, is releasing its first open-weight model, Beam, a 501-billion-parameter model trained from scratch under…