Avinash Roy
@Avinashabroy
🔧 Design Verification Engineer | Ensuring silicon perfection 💻 Tech Enthusiast | Passionate about innovation & cutting-edge tech
📘 Python Code for Artificial Intelligence by David L. Poole & Alan K. Mackworth is a powerful guide to AI foundations using Python. Perfect for learners and developers seeking hands-on experience with intelligent agents.
It is time our brightest minds choose to stay, build, and lead from within. We need their brilliance in ISRO, DRDO, our universities, and every space that shapes the future. Let the next generation not just be proud of India, but also be proud in India.
Alibaba Qwen Introduces Qwen3-MT: Next-Gen Multilingual Machine Translation Powered by Reinforcement Learning
How to name your Windows command prompt with the `title` command👇 Does anyone else do this? 🤔
C++ Random Sampling Distributions
C++ Std:: string Interface Overview
🚨JENSEN HUANG: "Elon has a giant AI factory. Tesla has two factories. He was very early in recognizing he needs to have an AI factory to sustain his cars as he's got AIs in the cars. Every industrial company will be an AI company
Amazon conducted a detailed evaluation of its Nova models using MT-Bench and Arena-Hard-Auto frameworks. They tested these models against leading LLMs on Amazon Bedrock, focusing on various tasks like creativity, coding, and data extraction.
Microsoft just released their list of the 40 jobs most AI-applicable and the 40 jobs least AI-applicable. This list may have overlap with replaceability and job transformation. (Phlebotomists, you've got nothing to worry about.)
Researchers at EPFL explored how well multimodal foundation models, like GPT-4o, perform on vision tasks. While these models show promise in language and image tasks, they lag behind specialized visual models.
Anthropic’s New Research: Giving AI More "Thinking Time" Can Actually Make It Worse
🔰 Python functions (syntax explanation)
🔰 Python Lambda Functions!
Mathematical theory of deep learning 📚 Book :- arxiv.org/pdf/2407.18384
Brilliant paper from Google. Test-Time Diffusion Deep Researcher (TTD-DR) - Conceptualizes research report generation as a diffusion process. The agent rewrites itself every step, so errors fade instead of pile up. TTD-DR builds a living draft, keeps feeding it fresh search…