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🖼️ Instant Product Feeds With Nano Banana Pro

PLUS: 🚀 AI Becomes Manufacturing’s New Strategic Engine

Hey AI Explorers,

Here’s what’s in store for you today:
đź“° AI NEWS

  • 🖼️ Instant Product Feeds With Nano Banana Pro

  • ⚙️ AI Becomes Manufacturing’s New Strategic Engine

  • 🔍 ERNIE Beats GPT & Gemini in Real-World Multimodal Tasks

LATEST DEVELOPMENT

🖼️ Instant Product Feeds With Nano Banana Pro

Image Source: NewsBytes

With just one inspiration shot, the tool creates varied product angles, lifestyle scenes, and aesthetic backgrounds that match your visual style. Brands can now skip expensive photoshoots and instantly get a polished, consistent feed ready to post.

How it works (simple steps):

  • Open Gemini → Tools → Create Images and enable Pro mode

  • Upload one inspiration image that captures your desired vibe

  • Upload your product photo and use this prompt:
    “Create a 9-image Instagram feed for this product with varied angles, people, and environments.”

  • Review your grid → regenerate or refine as needed

  • Download your top shots and post across Instagram, TikTok, or your storefront 

The closer your inspiration photo matches the desired lighting, angle, and aesthetic, the better the entire grid turns out.

⚙️ AI Becomes Manufacturing’s New Strategic Engine

Image Source: Cybernews

Manufacturers facing rising costs, labour gaps, and fragile supply chains are rapidly shifting toward AI as a core driver of productivity and competitiveness. More than half of industry leaders now use AI agents to optimise planning, quality, and maintenance — a shift tied directly to measurable gains like reduced downtime, lower scrap, and improved throughput. 

Recent case studies highlight the impact: Motherson achieved up to a 45% reduction in downtime and 35% efficiency gains after implementing AI-driven maintenance, data unification, and workforce tools. As manufacturers scale AI, cloud, and IT leaders are prioritising strong data architecture, hybrid edge–cloud setups for low-latency decisions, and clear governance to secure OT–IT systems. 

Starting with high-value use cases such as predictive maintenance or energy optimisation helps teams avoid the “pilot trap,” while workforce training remains essential amid persistent skills shortages. The path isn’t without challenges — legacy equipment, fragmented data, and cybersecurity risks still slow adoption — but with open ecosystems, phased rollouts, and KPIs tied directly to business outcomes, AI is quickly proving to be a practical, high-impact lever for modern manufacturing strategy.

🔍 ERNIE Beats GPT & Gemini in Real-World Multimodal Tasks

Image Source: Yahoo News

Baidu has unveiled its newest multimodal model — ERNIE 4.5-VL-28B, a super-efficient system that’s outperforming GPT and Gemini on key visual-reasoning benchmarks while using far fewer active parameters. Unlike text-heavy models, ERNIE is built to understand complex, high-value enterprise data like engineering diagrams, technical charts, video footage, and logistics dashboards. 

It can solve circuit diagrams, analyse dense charts, detect objects, extract structured data from images, and even zoom and research unknown items using external tools. Benchmarks show ERNIE topping competitors on MathVista, ChartQA, and VLMs-Are-Blind tests — highlighting its strength in visual reasoning. Designed as a foundation for multimodal AI agents, ERNIE pushes beyond perception to actionable automation, making it ideal for companies with advanced infrastructure. 

With commercial licensing and fine-tuning support, Baidu is positioning ERNIE as a powerful new option for enterprises ready to unlock intelligence hidden in diagrams, videos, and real-world visuals.

QUICK HITS

đź“° Everything else in AI today

  • đź§Ş Anaconda launches AI Catalyst for enterprise AI development

  • đź’¬ Wispr raises $25M as its voice-AI platform surges in adoption.

  • 🎮 Samsung Tab A11+ to launch in India with built-in Galaxy AI features.

  • 🖥️ OpenAI & Foxconn partner to manufacture next-gen AI hardware.

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