Tag: Google
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Google Releases Gemma 4 12B: Frontier Multimodal AI on a Laptop
Lead — On June 3, 2026, Google DeepMind released Gemma 4 12B, a unified, encoder-free multimodal model that brings frontier-class intelligence to a single 16 GB laptop. The 11.95-billion-parameter model handles text, images, and audio in one decoder-only transformer, supports a 256K-token context across 140+ languages, and ships under a fully permissive Apache 2.0 license. Google […]
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Google I/O 2026 Pushes Gemini Into Agent Channels
Google I/O 2026 turned Gemini into a broader agent distribution stack, with Gemini 3.5 Flash, Spark, Antigravity, AI Mode, and new agent channels all pointing in the same direction: Google wants AI agents to move from standalone demos into Search, productivity software, browsers, phones, and developer workflows. General Audience Key points Google I/O 2026 turned […]
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Google Introduces Gemini Omni and Gemini 3.5 at I/O
Google introduced Gemini Omni and Gemini 3.5 updates during I/O 2026, putting the Gemini app on a more multimodal, agentic path. The headline is not just a larger model: Google is presenting Gemini as an interface that can hear, see, reason over screens and documents, generate media, and connect those capabilities across Search, Workspace, Android, […]
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Gemma 4 Gets Multi-Token Prediction Drafters: 3x Faster Inference, Same Outputs
Lead — On May 5, 2026, Google released Multi-Token Prediction (MTP) drafters for the Gemma 4 family of open models. The drafters use speculative decoding to deliver up to a 3x speedup in inference latency without changing model outputs, and they ship under the same Apache 2.0 license as the underlying models. Advanced Key points […]
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Google Releases Gemini 3.1 Flash TTS with 200+ Audio Tags
On April 15, 2026, Google DeepMind released Gemini 3.1 Flash TTS — a text-to-speech model that introduces more than 200 granular audio tags for steering vocal style, tone, pacing, and accent, and tops the Artificial Analysis TTS leaderboard with an Elo score of 1,211. The preview is available through the Gemini API, Google AI Studio, […]
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Google Releases Gemma 4: Frontier Open Models Under Apache 2.0
On April 2, 2026, Google DeepMind released Gemma 4 — its most capable open model family to date, purpose-built for advanced reasoning and agentic workflows. Available under a fully permissive Apache 2.0 license, Gemma 4 delivers frontier-class multimodal intelligence across four model sizes, from edge devices to high-performance workstations. Intermediate Key points On April 2, […]
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Google’s TurboQuant Cuts LLM Memory 6x with Zero Accuracy Loss
On March 25, 2026, Google Research introduced TurboQuant — a new compression algorithm that reduces LLM key-value (KV) cache memory by 6x and delivers up to 8x inference speedup on NVIDIA H100 GPUs, all with zero accuracy loss. The algorithm, set to be presented at ICLR 2026, could reshape how organizations deploy large language models […]
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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 […]