Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
A study evaluating boundary-condition fidelity for bottom-hole pressure and CO2 plume prediction in geological carbon storage found that conserving corner pore volume is critical for accurate truncated-domain simulations…
Researchers propose SD-GPS, a solver-driven framework for geometry problem solving that integrates autoformalization and theorem proposing. The framework uses a symbolic solver as an execution oracle to improve formaliza…
Researchers propose HIA-GAT, a heterogeneous graph attention network for frame-level traffic conflict risk prediction on freeways. The model outperforms baselines on NGSIM datasets, achieving AUC up to 0.867, and provide…
Researchers introduced the Agent-Native Immune System (ANIS), a biologically inspired defense architecture embedded within autonomous agents' cognitive loops to counter runtime attacks like memory poisoning and tool-chai…
Team HSA_CORAL submitted to the FinCausal 2026 shared task on extracting cause-effect relations from financial narratives via extractive question answering in English and Spanish. Their best system, GPT-4.1 Mini fine-tun…
Researchers at arXiv identified a memory-update gap in LLM agents, where accuracy drops from 92% to 77% when using bounded memory instead of full context, even with frontier models like gpt-5.4. The gap persists across m…
Researchers have developed OverFlowLight, a real-time framework that uses multi-modal sensing from cameras and radars to detect and prevent queue overflow at urban intersections. Deployed across 43 intersections in three…
Researchers introduced KARMA, a method for explaining multivariate time series forecasting models by constructing a Markov surrogate model that captures temporal dependencies. The approach identifies minimal predictive h…
Researchers propose HybridCodec, a novel approach combining discrete tokens with continuous residuals to improve speech representation in language models, reducing information loss and autoregressive steps while retainin…
Researchers propose automation-in-design (AiD) using deep learning and generative AI to automate high-tech system design, demonstrated through e-drive and spatial dimensioning case studies. The framework aims to shift en…
Carles Marin released an open-source bilingual guide on Transformer architectures, covering attention dynamics, KV-cache compression, and advanced concepts like grokking. The resource includes reproducible code and inter…
Researchers have developed a method for on-policy distillation (OPD) that works across different tokenizers, enabling knowledge transfer between large language models (LLMs) from different model families. The approach us…
A developer released an open-source repository for polygenic prediction and embryo selection, enabling users to compute polygenic scores for traits like intelligence and height using public genome-wide association study …
Tau is an educational Python coding agent designed to teach how agents are built by exposing every component—provider adapters, harness, coding environment, and terminal UI—in readable layers. The project emphasizes a cl…
An independent research project analyzed the internal dynamics of small and medium-sized language models, revealing that functional properties become linearly decodable in hidden representations and that models cluster i…
A developer outlines practical patterns for building multi-agent systems with Python, including the ReAct architecture, tool selection, memory hierarchy, and error recovery. The guide emphasizes starting with narrow task…
A Seoul-based backend developer built k-cosmos, an interactive 3D music space that maps K-pop tracks using 768-dimensional vector embeddings, running entirely on the OCI Free Tier. The system uses a self-reinforcing pipe…
An independent researcher analyzed hidden-state dynamics across seven open-weight LLMs and found recurring functional patterns encoded in representation geometry rather than individual neurons, with functional proxy stat…
A developer demonstrates running a complete RAG agent offline using LangGraph, Ollama, and an embedded Qdrant instance, requiring zero API keys or Docker. The system uses a provider-swap design that allows switching betw…
A developer built a real-time arrhythmia detector using TinyML on an ESP32 microcontroller, processing raw ECG data locally with TensorFlow Lite for Microcontrollers. The system uses a quantized 1D-CNN model trained on t…