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News
Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference
1+ hour, 15+ min ago (198+ words) We benchmark scikit-learn and cuML implementations of PCA, K-Means, nearest neighbors, logistic regression, random forests, and DBSCAN. We generate datasets on the GPU, synchronize CUDA operations for fair timing, and record the speedup each accelerated algorithm achieves. We also compare…...
"AI Made My Job Irrelevant": Unemployed People Are Exposing How Bad The Job Market Has Gotten
1+ hour, 27+ min ago (26+ words) People are sharing what the job market is really like for them right now, from endless applications and interviews to months of unemployment and unexpected opportunities....
House committee investigating how AI affects college admissions * WorldNetDaily * by Elizabeth Troutman Mitchell, The Daily Signal
1+ hour, 52+ min ago (11+ words) Students, parents want to know if applications are being considered fairly...
The Accuracy Paradox: Why Your Deep Learning Model Lies to You (and How to Fix It)
20+ min ago (222+ words) Imagine building an AI system that boasts an impressive 77.16% mean accuracy. You pull the trigger, deploy it to a production pipeline, and confidently assume it’s filtering out junk while surfacing…...
A Look Inside My Career As A B2B Product Marketing Manager in IT (Part 1) | HackerNoon
9+ hour, 58+ min ago (1232+ words) Hi! My name is Anya. I run the Product Pulse Telegram channel, work as a PMM in tech (B2B to be precise), and also consult on marketing, product, and career-related topics. Today, I’m going to tell you all about my career…...
LLM Discussions (02): Train-time Vs. Test-time Compute
1+ hour ago (155+ words) Small Models with Deep Thinking Out-perform Frontier Models — But How? If this is the first story you have come across in our LLM Discussions …...
Adaptive LoRA Ranks Help AI Models Learn New Tasks Without Forgetting Old
1+ hour, 30+ min ago (83+ words) Large language models have become astonishingly capable learners, absorbing new skills from relatively small amounts of fine-tuning data. Yet this flexibility comes with a well-known curse: when an AI model is trained sequentially on new tasks, it tends to overwrite…...
Scikit-Learn, Pipeline Fundamentals: A Titanic Survival Prediction Guide
5+ hour, 53+ min ago (165+ words) A quick inspection of the dataset structure reveals the feature types, missing values, and potential columns to drop. Age: Missing 19.87% of data (177 missing values). Embarked: Missing 0.22% of data (2 missing values). Cabin: Missing 77.10% of data (687 missing values). Due to the extreme…...
Neurons Point the Way: NB-Net Puts Network Width, Not Depth, in the
1+ hour, 50+ min ago (603+ words) For more than a decade, the story of deep learning has been told largely in terms of depth. Each new generation of record-setting models has stacked more layers onto the previous one, and the word “deep” in deep learning has…...
Federated Learning Takes Root: How Distributed AI Is Transforming Precision
2+ hour, 19+ min ago (55+ words) Artificial intelligence is quietly rewriting the rules of farming, and one of the most consequential shifts is happening not in the cloud but in the fields themselves. A new systematic literature review published in Smart Agricultural Technology maps, for the…...