Qwen-Image-2.0 Technical Report
HEALTHCARE AI
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AIKosh initiative to support AI-powered health solutions in India
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Through the IndiaAI × ICMR collaboration, AIKosh is bringing together trusted datasets, domain expertise, and AI infrastructure to support the development of impactful AI-powered health solutions. By enabling access to quality health research data, AI models, tools, and compute
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Machine Learning Model for Nephropathy Prediction Based on TG CysC Ratio
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A Machine Learning Model for Predicting Nephropathy Based on TG CysC Ratio! #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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AI-Driven Robotics System Automates Cervical Cancer Screening Workflow
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This indigenous AI-driven robotics system automates the entire cervical cancer screening workflow, beginning with KytoSpin for monolayer slide preparation and RotoStainer for automated, multi-protocol staining. To learn more, visit the exhibition at Vigyan Tech on May 11, 2026
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AI-Powered Biosensor for Rapid Bacterial Diarrhoea Detection
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Developed by C-DAC Kolkata and RIMS Imphal under MeitY, this battery-operated, AI-powered biosensor delivers point-of-care bacterial diarrhoea detection in just 15 minutes with over 90% accuracy. It utilizes aptamer-gold nanoparticle nano-bioreceptors for high specificity
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AI outperforms ER doctors; not consulting it unethical
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It is unethical for a doctor not to consult an AI! A new study published in Science shows OpenAI's o1 model (not 5.5, but the over 1 year old o1!) outperformed ER physicians at diagnosing patients, identifying the correct or near-correct diagnosis 67% of the time versus 50–55%
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Examples of fine-tuning LLMs in practice
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Asking because about once every six months I put out a call for examples of fine tuning LLMs working in practice and, aside from the obvious examples like Cursor, I don't often get many great answers
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AI Progress: From Basic Code to Engineering Tests
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A year ago, AI could write basic functions. Now it solves multi-step coding challenges and passes actual engineering tests. Of course, bigger models helped. But the bigger shift is in how models learn what a "good answer" means. We used to train AI using Reinforcement Learning
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NeuroGraph: New Benchmarks for Graph Machine Learning in Brain-Connectomics
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NeuroGraph: Benchmarks for Graph Machine Learning in Brain-Connectomics! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #DataScientist #Linux #Programming #Coding #100DaysofCode https://
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Causal Machine Learning for Single Cell Genome Analysis
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Causal Machine Learning for Single Cell Genome Analysis Using CausalCell! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming