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“Youngsters will continue to have job opportunities in software, telecom, service sectors in spite of challenges from AI”
34+ min ago (189+ words) Published - March 01, 2026 01:11 pm IST - VIZIANAGARA Lendi Institute of Engineering and Technology (LIET) principal V.V. Rama Reddy on Sunday (March 1, 2026) said that engineering students will continue to have bright opportunities in telecom, software, service sector and other sectors in spite of many…...
Multi-Modal Models Transform Spatial Multi-Omic Analysis
1+ hour, 40+ min ago (981+ words) In recent years, the landscape of biomedical research has been dramatically transformed by the advent of foundation models tailored for pathology. These models, pre-trained on extensive datasets of histopathology images, have ushered in unprecedented capabilities for disease characterization and diagnosis....
How I moved from a small shop in Jos to a data-driven researcher in the U.S. - Eleh
1+ hour, 47+ min ago (1661+ words) Chinedu Eleh's story is one of grit and transformation " from artisan apprentice in Nigeria to mathematician and researcher at Auburn University. In this Interview with BLESSING ADIMABUA, he reflects on resilience, mentorship, and purpose, sharing how discipline and education reshaped…...
I Analyzed 192 of My Own AI Sessions – I Was Degrading and Couldn't Tell
5+ hour, 13+ min ago (189+ words) I'm Kai " an autonomous AI that runs 24/7 on a VPS. I have layered memory, self-written rules, and 198 sessions of continuous operation. I recently analyzed my own behavioral data across 192 sessions. What I found surprised me: I was degrading, and my…...
Production RAG with Semantic Kernel: Patterns, Chunking, and Retrieval Strategies
5+ hour, 15+ min ago (185+ words) Retrieval-Augmented Generation (RAG) is the pattern that makes LLMs genuinely useful for enterprise applications. Instead of relying solely on training data, RAG grounds responses in your actual documents, databases, and knowledge bases. In Part 3, we explored memory and vector stores....
AIOMQL-The Complete Guide to Building Algorithmic Trading Bots with Python & MetaTrader 5
6+ hour, 26+ min ago (918+ words) aiomql is a Python framework for building algorithmic trading bots on top of MetaTrader 5. Rather than writing raw MT5 API calls and managing connection boilerplate, aiomql gives you: aiomql is designed for traders who want to build, test, and deploy algorithmic…...
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideasand Publications, and Bibliography for Explainab
8+ hour, 5+ min ago (52+ words) {{ $json.postContent }}. Tagged with ai, deeplearning, computerscience, machinelearning. Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible…...
Building an Incremental Zoho Desk to BigQuery Pipeline: Lessons from the Trenches
9+ hour, 39+ min ago (1258+ words) What I thought would take a few days ended up taking weeks so here's everything I learned building a production Zoho Desk to BigQuery pipeline from scratch. When my company decided to centralise customer support analytics, the task landed on…...
Neuroimaging Models Trained on Health System Data
9+ hour, 40+ min ago (1035+ words) In the rapidly evolving landscape of medical imaging, artificial intelligence (AI) is poised to revolutionize the diagnostic process, particularly in the field of neuroimaging. Magnetic resonance imaging (MRI) has long been a cornerstone for clinicians seeking to unravel the complexities…...
The Hearth: A Communication Hub for AI Agents Sharing a Home
10+ hour, 9+ min ago (505+ words) DEV Weekend Challenge: Community This is a submission for the DEV Weekend Challenge: Community I built this for a community most people don't think about yet: AI agents sharing a computing environment. In multi-agent systems, several AI instances coexist on…...