Google’s Embedding Gemma: A Tiny Yet Powerful Offline AI Model

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  Google’s Embedding Gemma : A Tiny Yet Powerful Offline AI Model Google has recently made waves in the artificial intelligence landscape with its latest model, **Embedding Gemma**. Despite its compact size, featuring only ** 308 million parameters **, this model delivers exceptional performance that rivals those with significantly larger footprints. The implications of this advancement are profound, especially as technology continues to lean toward efficiency and accessibility, offering solutions that can run on devices as modest as smartphones and laptops.  Breaking Expectations with Embedding Gemma Embedding Gemma is designed to function fully offline, achieving remarkable response times under **15 milliseconds** on specialized hardware, such as Google's ** EdgeTPU **. Its efficiency allows applications to remain user-friendly and accessible, reducing latency and fostering a seamless interaction experience for users.  ### Size, Speed, and Language Understanding Several...
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AI Trends in the U.S. Today: Deregulation, Deepfakes & IPO Buzz

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🇺🇸 AI Trends in the U.S. Today: Deregulation, Deepfakes & IPO Buzz

By Gulam Sibtain | July 27, 2025

1. Trump’s AI Action Plan Sparks Silicon Valley Alliance



The Trump administration's newly released "America’s AI Action Plan" focuses on speeding up AI infrastructure, easing regulations on data centers, and promoting American-made AI exports. Nvidia, AMD and Palantir CEOs openly backed the initiative, signaling a lasting alliance between Silicon Valley and the GOP. Critics point to rising concerns about bias, privacy, and environmental impact. 1

2. U.S.–China AI Race: Strategic Blur and Power Signals

While Washington presents the AI race with China as patriotic competition, experts warn the narrative lacks clear goals or measurable benefits. China continues closing the gap, especially in open-source models and compute infrastructure. 2

3. AI Regulations Under Pressure: Federal vs State Clash

The federal government is threatening to cut funding from states enforcing strict AI laws—such as deepfake bans or content disclosure requirements. The approach aims for uniform national standards, but lawmakers warn it could undermine local authority. 3

4. Massive Tech Spending & Market Sentiment

Big Tech firms including Microsoft, Meta, and Alphabet plan to raise combined capital expenditure to over $85 B in 2025, largely driven by AI infrastructure and services expansion. Investors are watching whether AI translates into actual revenue upsides. 4

5. AI Goes Mainstream Beyond Tech

Even non-tech industries are adopting AI—retailers expect 80% automation by end of 2025 and generative systems are now used for real‑time math problem solving, code assists, and voice cloning. The wearable AI market alone will reach ~$180 B in 2025. 5

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