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[P] fastrad: GPU-native radiomics library — 25× faster than PyRadiomics, 100% IBSI-compliant, all 8 feature classes

PyRadiomics is the de facto standard for radiomic feature extraction, but it's CPU-only and takes ~3 seconds per scan. At scale, that's a...

Reddit - Machine Learning · 1 min ·
Llms

World models will be the next big thing, bye-bye LLMs

Was at Nvidia's GTC conference recently and honestly, it was one of the most eye-opening events I've attended in a while. There was a lot...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

What tools are sr MLEs using? (clawdbot, openspec, wispr) [D]

I'm already blasting cursor, but I want to level up my output. I heard that these kind of AI tools and workflows are being asked in SF. W...

Reddit - Machine Learning · 1 min ·

All Content

[2603.05036] The Trilingual Triad Framework: Integrating Design, AI, and Domain Knowledge in No-code AI Smart City Course
Machine Learning

[2603.05036] The Trilingual Triad Framework: Integrating Design, AI, and Domain Knowledge in No-code AI Smart City Course

Abstract page for arXiv paper 2603.05036: The Trilingual Triad Framework: Integrating Design, AI, and Domain Knowledge in No-code AI Smar...

arXiv - AI · 4 min ·
[2603.04981] Rethinking Representativeness and Diversity in Dynamic Data Selection
Machine Learning

[2603.04981] Rethinking Representativeness and Diversity in Dynamic Data Selection

Abstract page for arXiv paper 2603.04981: Rethinking Representativeness and Diversity in Dynamic Data Selection

arXiv - AI · 4 min ·
[2603.04896] Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection for VLMs
Llms

[2603.04896] Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection for VLMs

Abstract page for arXiv paper 2603.04896: Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection...

arXiv - AI · 3 min ·
[2603.04873] SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms
Machine Learning

[2603.04873] SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms

Abstract page for arXiv paper 2603.04873: SEA-TS: Self-Evolving Agent for Autonomous Code Generation of Time Series Forecasting Algorithms

arXiv - AI · 4 min ·
[2603.04837] Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Language Models
Llms

[2603.04837] Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Language Models

Abstract page for arXiv paper 2603.04837: Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Languag...

arXiv - AI · 4 min ·
[2603.04746] Visioning Human-Agentic AI Teaming: Continuity, Tension, and Future Research
Ai Safety

[2603.04746] Visioning Human-Agentic AI Teaming: Continuity, Tension, and Future Research

Abstract page for arXiv paper 2603.04746: Visioning Human-Agentic AI Teaming: Continuity, Tension, and Future Research

arXiv - AI · 4 min ·
[2603.04741] CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics
Llms

[2603.04741] CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics

Abstract page for arXiv paper 2603.04741: CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics

arXiv - Machine Learning · 3 min ·
[2603.04723] From Offline to Periodic Adaptation for Pose-Based Shoplifting Detection in Real-world Retail Security
Ai Infrastructure

[2603.04723] From Offline to Periodic Adaptation for Pose-Based Shoplifting Detection in Real-world Retail Security

Abstract page for arXiv paper 2603.04723: From Offline to Periodic Adaptation for Pose-Based Shoplifting Detection in Real-world Retail S...

arXiv - AI · 4 min ·
[2603.04636] When Agents Persuade: Propaganda Generation and Mitigation in LLMs
Llms

[2603.04636] When Agents Persuade: Propaganda Generation and Mitigation in LLMs

Abstract page for arXiv paper 2603.04636: When Agents Persuade: Propaganda Generation and Mitigation in LLMs

arXiv - AI · 3 min ·
Machine Learning

[P] On-device speech toolkit for Apple Silicon — ASR, TTS, diarization, speech-to-speech, all in native Swift

Open-source Swift package running 11 speech models on Apple Silicon via MLX (GPU) and CoreML (Neural Engine). Fully local inference, no c...

Reddit - Machine Learning · 1 min ·
Llms

Best Machine Learning Jobs for 2026: Where the Money (and Sanity) Is?

Is it just me, or did the ML job market go from "can you build a model?" to "can you build an entire autonomous department?" in like six ...

Reddit - ML Jobs · 1 min ·
[2601.23157] No More, No Less: Least-Privilege Language Models
Llms

[2601.23157] No More, No Less: Least-Privilege Language Models

Abstract page for arXiv paper 2601.23157: No More, No Less: Least-Privilege Language Models

arXiv - Machine Learning · 4 min ·
[2601.19933] NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference
Llms

[2601.19933] NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference

Abstract page for arXiv paper 2601.19933: NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference

arXiv - Machine Learning · 4 min ·
[2512.15792] A Systematic Analysis of Biases in Large Language Models
Llms

[2512.15792] A Systematic Analysis of Biases in Large Language Models

Abstract page for arXiv paper 2512.15792: A Systematic Analysis of Biases in Large Language Models

arXiv - AI · 3 min ·
[2508.09844] On the Generalization Limits of Quantum Generative Adversarial Networks with Pure State Generators
Machine Learning

[2508.09844] On the Generalization Limits of Quantum Generative Adversarial Networks with Pure State Generators

Abstract page for arXiv paper 2508.09844: On the Generalization Limits of Quantum Generative Adversarial Networks with Pure State Generators

arXiv - Machine Learning · 3 min ·
[2509.25845] Training-Free Reward-Guided Image Editing via Trajectory Optimal Control
Machine Learning

[2509.25845] Training-Free Reward-Guided Image Editing via Trajectory Optimal Control

Abstract page for arXiv paper 2509.25845: Training-Free Reward-Guided Image Editing via Trajectory Optimal Control

arXiv - AI · 3 min ·
[2509.14858] MeanFlowSE: one-step generative speech enhancement via conditional mean flow
Machine Learning

[2509.14858] MeanFlowSE: one-step generative speech enhancement via conditional mean flow

Abstract page for arXiv paper 2509.14858: MeanFlowSE: one-step generative speech enhancement via conditional mean flow

arXiv - AI · 3 min ·
[2509.13471] An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software
Llms

[2509.13471] An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software

Abstract page for arXiv paper 2509.13471: An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software

arXiv - AI · 4 min ·
[2509.06415] Index-Preserving Lightweight Token Pruning for Efficient Document Understanding in Vision-Language Models
Llms

[2509.06415] Index-Preserving Lightweight Token Pruning for Efficient Document Understanding in Vision-Language Models

Abstract page for arXiv paper 2509.06415: Index-Preserving Lightweight Token Pruning for Efficient Document Understanding in Vision-Langu...

arXiv - AI · 3 min ·
[2404.03813] Agnostic Tomography of Stabilizer Product States
Ai Infrastructure

[2404.03813] Agnostic Tomography of Stabilizer Product States

Abstract page for arXiv paper 2404.03813: Agnostic Tomography of Stabilizer Product States

arXiv - Machine Learning · 3 min ·
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