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Frontiers
frontiersin.org > journals > materials > articles > 10.3389 > fmats.2025.1648653 > full

Deep learning-based image classification for microstructural analysis in computational materials science

21+ min ago   (1624+ words) Front. Mater., 20 January 2026 This article is part of the Research TopicAdvancing Computational Material Science and Mechanics through Integrated Deep Learning ModelsView all 8 articles Let "Rd represent a bounded domain in physical space that defines the spatial extent of a microstructure,…...

DEV Community
dev.to > ddebajyati > get-started-with-image-classification-in-kaggle-using-python-4nam

Get Started With Image Classification in Kaggle using Python

51+ min ago   (382+ words) Kaggle is a fantastic and great platform for enthusiastic Data Science Engineers to cultivate machine learning with a variety of quality datasets. Kaggle hosts many ML competitions that are organized by prestigious organizations with crazy huge prize pools. So, you…...

MarkTechPost
marktechpost.com > 01/19/2026 > how-to-design-a-fully-streaming-voice-agent-with-end-to-end-latency-budgets-incremental-asr-llm-streaming-and-real-time-tts

How to Design a Fully Streaming Voice Agent with End-to-End Latency Budgets, Incremental ASR, LLM Streaming, and Real-Time TTS

How to Design a Fully Streaming Voice Agent with End-to-End Latency Budgets, Incremental ASR, LLM Streaming, and Real-Time TTS57+ min ago   (294+ words) We define the core data structures and state representations that allow us to track latency across the entire voice pipeline. We formalize timing signals for ASR, LLM, and TTS to ensure consistent measurement across all stages. We also establish a…...

MarkTechPost
marktechpost.com > 01/19/2026 > microsoft-research-releases-optimind-a-20b-parameter-model-that-turns-natural-language-into-solver-ready-optimization-models

Microsoft Research Releases OptiMind: A 20B Parameter Model that Turns Natural Language into Solver Ready Optimization Models

Microsoft Research Releases OptiMind: A 20B Parameter Model that Turns Natural Language into Solver Ready Optimization Models1+ hour, 14+ min ago   (681+ words) Microsoft Research has released OptiMind, an AI based system that converts natural language descriptions of complex decision problems into mathematical formulations that optimization solvers can execute. It targets a long standing bottleneck in operations research, where translating business intent into…...

DEV Community
dev.to > bibimbop123 > sliding-windows-explained-sunglasses-analogy-with-ruby-code-cpg

Sliding Windows Explained: Sunglasses Analogy with Ruby Code

Sliding Windows Explained: Sunglasses Analogy with Ruby Code1+ hour, 54+ min ago   (609+ words) The Sunglasses Analogy " Imagine you are standing on a hill overlooking a long landscape. This landscape represents your array or string. You have a special pair of sunglasses that only let you see a fixed portion at a time " this…...

DEV Community
dev.to > vast-cow > notes-on-tabby-llamacpp-model-caching-and-access-tokens-1hje

Notes on Tabby: Llama.cpp, Model Caching, and Access Tokens

Notes on Tabby: Llama.cpp, Model Caching, and Access Tokens2+ hour, 29+ min ago   (174+ words) Tabby is a developer-focused tool that can run and manage local AI models, and it includes a few practical configuration and account details that are useful to keep in mind. One notable point is that Tabby uses llama.cpp under…...

Techmeme
techmeme.com > 260119 > p27

Anthropic details the “Assistant Axis”, a pattern of neural activity in language models that governs their default identity and helpful behavior

Anthropic details the “Assistant Axis”, a pattern of neural activity in language models that governs their default identity and helpful behavior2+ hour, 51+ min ago   (42+ words) Anthropic: Anthropic details the "Assistant Axis, a pattern of neural activity in language models that governs their default identity and helpful behavior This is a Techmeme archive page. It shows how the site appeared at 9:30 PM ET, January 19, 2026....

DEV Community
dev.to > eshanized > i-built-an-automated-slm-fine-tuning-engine-with-python-and-unsloth-257j

I Built an Automated SLM Fine-Tuning Engine with Python and Unsloth 🚀

I Built an Automated SLM Fine-Tuning Engine with Python and Unsloth 🚀3+ hour, 5+ min ago   (366+ words) Fine-tuning Small Language Models (SLMs) like Llama 3.2 or Phi-4 is easier than ever thanks to tools like Unsloth. But the setup is still a pain. You have to find the right Colab notebook, format your data into JSONL, debug generic…...

DEV Community
dev.to > lifeportal20/00/2010 > python-batch-processing-from-bat-integration-to-subprocess-best-practices-21bg

Python Batch Processing: From .bat Integration to Subprocess Best Practices

Python Batch Processing: From .bat Integration to Subprocess Best Practices3+ hour, 18+ min ago   (435+ words) In the world of data analysis and business automation, Python is a powerful tool for "batch processing." Whether it's automating repetitive tasks or processing heavy datasets overnight, the applications are endless. However, "batch processing with Python" can mean different things…...

DEV Community
dev.to > waelouf > nanuq-20-unified-management-platform-for-kafka-redis-rabbitmq-aws-and-azure-4odf

Nanuq 2.0: Unified Management Platform for Kafka, Redis, RabbitMQ, AWS, and Azure

Nanuq 2.0: Unified Management Platform for Kafka, Redis, RabbitMQ, AWS, and Azure3+ hour, 49+ min ago   (608+ words) Managing multiple messaging and caching systems across development environments is a common pain point. Each platform requires its own CLI tools, different authentication mechanisms, and unique management interfaces. After working with teams juggling Kafka topics, Redis caches, RabbitMQ exchanges, AWS…...