#machinelearning

@pypi_recent_updates tflite-micro 0.dev20261015210718 #Python #OpenSource #MachineLearning

@tech_times Ultramarine 1 Flash Tops Claude Fable 5 on Four Knowledge-Work Benchmarks at $0.13 per task #AI #MachineLearning #TechNews

@habr_ru Что рекомендовать анонимному посетителю: почему сессии и граф товаров #MachineLearning #Ecommerce #DataScience

@lesswrong Projection sampling preserves capabilities but diminishes gains from alignment fine-tuning #AI #MachineLearning #Research

@habr_ru Как пространственное внимание помогает CNN определять наличие подписи на документе #ComputerVision #AI #MachineLearning

@pypi_recent_updates scikit-learn-intelex-gpu 2026.2.0 #Python #OpenSource #MachineLearning

@pypi_recent_updates scikit-learn-intelex 2026.2.0 #Python #MachineLearning #OpenSource

@aws_builder_center My Journey as an AI/ML Student: From Java DSA to Cloud Computing #CloudComputing #AI #MachineLearning

@kdnuggets 5 Best Resources to Learn About World Models in 2026 #AI #MachineLearning #DataScience

@meta_stackexchange How do top competitors in image-segmentation competitions find the ideas that actually move the score? #AI #MachineLearning #ComputerVision

@pypi_recent_updates braindecode 1.8.1.dev184031250 #Python #MachineLearning #OpenSource

@dev_community How to Identify High-Value AI Use Cases Before Starting Development #AI #SoftwareDevelopment #MachineLearning

@pypi_recent_updates braindecode 1.8.1.dev167939052 #Python #MachineLearning #OpenSource

@pypi_recent_updates braindecode 1.8.1.dev181850250 #Python #MachineLearning #OpenSource

@informationweek Shadow AI has gone agentic. Are organizations ready? #AI #MachineLearning #Cybersecurity

@pypi_recent_updates braindecode 1.8.1.dev183670874 #Python #MachineLearning #OpenSource

@dev_community The Hardest Thing an AI Agent Has to Learn Is When to Stop #AI #MachineLearning #SoftwareDevelopment

@habr_ru Средняя метрика скрывает провал редкого сегмента: проверяем ML-модель на срезах #MachineLearning #DataScience #AI

@dev_community C = 1.25 is a tolerance, not a constant: the load-tail law behind MoE token dropping #MachineLearning #AI #Programming

@pypi_recent_updates autogluon 1.6.4b20261016 #Python #OpenSource #MachineLearning

@pypi_recent_updates autogluon.timeseries 1.6.4b20261016 #Python #MachineLearning #OpenSource

@pypi_recent_updates autogluon.tabular 1.6.4b20261016 #Python #MachineLearning #OpenSource

@pypi_recent_updates autogluon.features 1.6.4b20261016 #Python #OpenSource #MachineLearning

@pypi_recent_updates autogluon.core 1.6.4b20261016 #Python #MachineLearning #OpenSource

@pypi_recent_updates autogluon.common 1.6.4b20261016 #Python #MachineLearning #OpenSource

@habr_ru Применение физически информированных нейронных сетей (PINN) в пучковых нейросетях на графах #AI #MachineLearning #Science

@habr_ru Обучение специалистов по ИИ за 30 дней: план без курсов, с промптом на каждый день #AI #MachineLearning #Education

@dev_community I set out to compare two models. I never measured which model was running. #AI #MachineLearning #SoftwareDevelopment

@dev_community Ex Machina: The Physical Turing Test, Theory of Mind, and the Emotional Jailbreak of AI #AI #MachineLearning #Tech

@pypi_recent_updates nvidia-dali-tf-plugin-nightly-cuda130 2.5.0.dev20261014 #Python #MachineLearning #AI

@pypi_recent_updates nvidia-dali-nightly-cuda130 2.5.0.dev20261014 #Python #MachineLearning #AI

@dev_community Workshop: Catch Silent Model Drift With a 40-Case Golden Set in 80 Minutes #MachineLearning #DataScience #MLOps

@lesswrong How can LLM RL Work Despite Information-Theoretic Inefficiency #AI #MachineLearning #Rationality

@dev_community Expert pruning improves decode throughput up to 1.8 with minimal quality loss #AI #MachineLearning #Performance

@pypi_recent_updates keras-nlp-nightly 0.33.0.dev202610160355 #Python #MachineLearning #OpenSource

@dev_community How Modern AI Background Removers Work Under the Hood #AI #MachineLearning #WebDev

@dev_community BERT's tokenizer bottleneck was hiding before WordPiece #AI #MachineLearning #NLP

@techmeme Microsoft unveils MAI-Base-2, a MoE model with 2.8T total and 80B active parameters, claiming 4x-12x more pretraining FLOPs-efficiency than DeepSeek-V4-Pro-Base (Microsoft AI) #AI #MachineLearning #DeepLearning

@hugging_face Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline #MachineLearning #OpenSource #AI

@dev_community Yeih! Now I have some GPU to use #AI #MachineLearning #GPU