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Topical Phase Transitions in Artificial Intelligence Research: Large-Scale Evidence and an Early-Warning Signature for Emerging Topics

 💻AI Engineering  Content type: Academic
arxiv.org·

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

 🧠LLMs

microsoft/LLMLingua: [EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

 💻AI Engineering  Content type: Code
github.com··DEV

ML Job Interviews: The Ultimate Guide

 📊LLM Evals  Content type: Blog

Efficient and accurate neural-field reconstruction using resistive memory

 🧠LLMs  Content type: Academic
nature.com
·

SynthonBench: Benchmarking Sample-Efficient Optimization in Combinatorial Chemical Spaces | Miroslav Lzicar

 🔧MLOps
mireklzicar.com·

Why Secure AI Needs Compile-Time Sandboxing

 🛡️AI Safety  Content type: Blog
jo-lang.org··Hacker News
Less-relevant results

Gated Delta Net (Fable 5 vs Opus 4.8)

 🧠LLMs  Content type: Blog
sankalp.bearblog.dev·

GGUF vs GPTQ vs AWQ: The Plain-English Guide to LLM Quantization (and Which One to Pick)

 🌐Open Source AI

Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components

 🌐Open Source AI  Content type: Academic
arxiv.org·

QAAR-SIREN: quantum-augmented attention and residual SIREN for time-series forecasting

 💻AI Engineering  Content type: Academic
sciencedirect.com·

Forgis-Labs/HEPA: HEPA: Self-supervised horizon-conditioned event predictive architecture for time series. Spotlight at FMSD @ ICML 2026.

 🧪MLflow  Content type: Code
github.com··Hacker News

Discrete Diffusion Modelling by Estimating the Ratios of the Data Distribution

 🧪MLflow  Content type: News  Content type: Blog

A deep learning framework for emotion recognition in music using multimodal data fusion

 📚RAG  Content type: Academic
nature.com·

Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

 📚RAG
phys.org·

PianoKontext: Expressive Performance Rendering from Deadpan Context

 📚RAG  Content type: Academic
arxiv.org·

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track

 🤖AI Agents  Content type: Academic
arxiv.org·

Breaking free of a single datacenter: Practical geo-distributed AI operations with the k0smos platforms

 💻AI Engineering  Content type: Blog
cncf.io·

Microsoft Research's Lens proves detailed captions matter more than raw scale for training efficient image generators

 ✍️Prompt Engineering  Content type: News
the-decoder.com
·

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