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Anyone of you have used NVIDIA's GPU for machine learning or training algorithms? Me - I have used GeForce GTX 1650

🚀 Technology Moat: The ultimate competitive edge! 💡 Google’s powerful search algorithms, Apple’s seamless hardware-software integration and SpaceX’s groundbreaking reusable rockets make them nearly impossible to replicate. 🔥 Innovation at its fine

"AI is revolutionizing IT industries! - AI-powered software development - Machine learning for data analysis - Natural language processing for chatbots - Computer vision for image recognition But, have you considered the hardware behind the AI? As

I'm trying to make device like flipper zero who all gonna be helping me Person should be good at one thing 1) CAD Design 2)hardware 3) software development 4) electronics and semiconductor field

🚀 Calling all Software Engineers! Here's how to upgrade for the AI era😶: -1. Learn AI Fundamentals: Understand ML, neural networks, and deep learning. -2. Specialize: Focus on NLP, computer vision, or reinforcement learning. -3. Practice: Build AI

🙅 MOAT of Google 1. Intellectual Property: Proprietary algorithms and technologies. 2. Network Effect: Extensive user base enhancing data quality. 3. Brand Recognition: Strong global brand. 4. Technological Innovation : Continuous investment in

‼️ Okay, so now Ola will compete with tech gaints ? What are your thoughts on it ? And how relevant is this even ? Because im my opinion, ola software in Scotty is OKAYIshh not even good and krutrim is just a frontend on gpt .

For the past 6 months, I’ve been immersed in building TradeRiser, an ML-driven trading bot designed for India’s intraday stock market. Built Over some sophisticated machine learning algorithms, some statistics, and a touch of maths..., TradeRiser int

Higher Software engineering/computer science education in Indian colleges in pretty substandard for the most part. That again explains why majority of Indian software engineers aren't even worth hiring. No form of creativity or any real skill is taug