Tag: deepmind
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Google Launches Gemini Embedding 2: Its First Multimodal Embedding Model
On March 10, 2026, Google DeepMind released Gemini Embedding 2 — the company’s first natively multimodal embedding model. Unlike traditional embedding models that handle only text, Gemini Embedding 2 maps text, images, video, audio, and documents into a single unified vector space, enabling cross-modal search, classification, and clustering across over 100 languages. Intermediate Key points […]
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Google Launches Nano Banana 2: Pro-Quality Image Generation at Flash Speed
Key points Google DeepMind launched Nano Banana 2, officially known as Gemini 3.1 Flash Image, on February 26, 2026, combining Nano Banana Pro fidelity with Gemini Flash speed. The model is already live as the default image generator across Google Search, Gemini, Google Lens, Flow, Ads, and developer APIs. Nano Banana 2 generates images from […]
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Google Releases Gemini 3.1 Pro with 2× Reasoning Performance
Key points Google DeepMind released Gemini 3.1 Pro on February 19, 2026, describing it as its most capable model to date and the first in the Gemini family to receive a “.1” mid-cycle update rather than the usual “.5” increment. Gemini 3.1 Pro scores 77.1% on ARC-AGI-2, which the article says is more than double […]
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Introducing MagentaRT: Google’s Open-Weights Real-Time Music Generation Model
Today, Google’s Magenta team unveiled Magenta RealTime (MagentaRT), an 800-million-parameter autoregressive transformer model designed to generate high-fidelity, 48 kHz stereo music in real time with low latency and full user control (magenta.withgoogle.com). Licensed permissively (with some bespoke terms), MagentaRT is the open-weights counterpart to Google’s proprietary Lyria RealTime model and aims to eventually run locally […]