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Mind Games: The Decoy Effect 🧠💡 Ever feel like a third option makes one of the original choices suddenly more appealing? There's a reason for that: the Decoy effect! Here's how it works: ⭐ Imagine you're choosing a phone plan: * Option A: 2GB

Guys if we are having other alternatives of Gmail then why we are stuck in that , why can't we come out from that still our data and other things are not secure in Google They still keep the data of our all the activities and if our other alternativ

hey guys! I need help. So in my city there are severe heat waves but my junior college still didn't shut down , so we called abvp police office and complained against our junior college. Do you guys think they'll help is out and close our college ..

The Hidden Bias in Medical AI: Are We Training Fair Systems? AI in healthcare is only as good as the data it learns from. And if that data is flawed, the AI inherits those flaws - amplifying healthcare disparities rather than solving them. ⚠️ The P

Google still dominates the web → 1631.5B visits vs ChatGPT's 47.7B → 34× gap between search engines & AI chatbots AI growth is explosive ↗️ → ChatGPT: +670% YoY → Total chatbot traffic: +80.92% → Yet only 2.96% of search volume The traffic trend ⚔

Hiring Data Analytics Trainers Requirements: •Minimum 5 years of experience in data analytics •Experience delivering data analytics training programs (preferred) •In-depth knowledge and experience with at least one of the following: Power BI,Tablea

cope up with your fear with this simple tip. "Think as thoughts of fear only resides inside our head and nothing have to do with reality. And when you encounter a lion still fear will be inside your head but this time it has a lot to do with realit

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hello everyone, so basically there's this IDEATHON Compition being held in our college, please ping me by today if anyone is interested to participate with me! my collage is Asian School Of Business in noida. also I'd appreciate if you'll can sugges

How AI Works 1. Neural Networks – AI’s Brain AI’s neural networks consist of three layers: Input Layer: Takes in raw data (e.g., an image). Hidden Layers: Process data to find patterns (e.g., detecting edges, shapes). Output Layer: Produces the fi