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Llms

CLI for Google AI Search (gai.google) — run AI-powered code/tech searches headlessly from your terminal

Google AI (gai.google) gives Gemini-powered answers for technical queries — think AI-enhanced search with code understanding. I built a C...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

Big increase in the amount of people using AI to write their replies with AI

I find it interesting that we’ve all randomly decided to use the “-“ more often recently on reddit, and everyone’s grammar has drasticall...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[D] MXFP8 GEMM: Up to 99% of cuBLAS performance using CUDA + PTX

New blog post by Daniel Vega-Myhre (Meta/PyTorch) illustrating GEMM design for FP8, including deep-dives into all the constraints and des...

Reddit - Machine Learning · 1 min ·

All Content

[2603.25635] Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments
Machine Learning

[2603.25635] Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments

Abstract page for arXiv paper 2603.25635: Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric...

arXiv - Machine Learning · 4 min ·
[2603.24846] NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological Disorders
Llms

[2603.24846] NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological Disorders

Abstract page for arXiv paper 2603.24846: NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Ne...

arXiv - Machine Learning · 4 min ·
[2603.25614] Social Hippocampus Memory Learning
Machine Learning

[2603.25614] Social Hippocampus Memory Learning

Abstract page for arXiv paper 2603.25614: Social Hippocampus Memory Learning

arXiv - Machine Learning · 3 min ·
[2603.25561] An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting and Optimizing Biofuel-Relevant Biomass Production in Saccharomyces cerevisiae
Machine Learning

[2603.25561] An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting and Optimizing Biofuel-Relevant Biomass Production in Saccharomyces cerevisiae

Abstract page for arXiv paper 2603.25561: An Integrative Genome-Scale Metabolic Modeling and Machine Learning Framework for Predicting an...

arXiv - Machine Learning · 4 min ·
[2603.25562] Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
Llms

[2603.25562] Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

Abstract page for arXiv paper 2603.25562: Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes

arXiv - AI · 4 min ·
[2603.24821] Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting
Machine Learning

[2603.24821] Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting

Abstract page for arXiv paper 2603.24821: Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Cou...

arXiv - AI · 4 min ·
[2603.24806] FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions
Machine Learning

[2603.24806] FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions

Abstract page for arXiv paper 2603.24806: FODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot Actions

arXiv - AI · 4 min ·
[2603.25495] Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models
Machine Learning

[2603.25495] Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-Series Models

Abstract page for arXiv paper 2603.25495: Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Operational Time-...

arXiv - AI · 4 min ·
[2603.24804] GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining
Llms

[2603.24804] GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining

Abstract page for arXiv paper 2603.24804: GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretra...

arXiv - Machine Learning · 4 min ·
[2603.25476] How Class Ontology and Data Scale Affect Audio Transfer Learning
Machine Learning

[2603.25476] How Class Ontology and Data Scale Affect Audio Transfer Learning

Abstract page for arXiv paper 2603.25476: How Class Ontology and Data Scale Affect Audio Transfer Learning

arXiv - Machine Learning · 3 min ·
[2603.25473] Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure
Machine Learning

[2603.25473] Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure

Abstract page for arXiv paper 2603.25473: Causal-INSIGHT: Probing Temporal Models to Extract Causal Structure

arXiv - Machine Learning · 3 min ·
[2603.24801] Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis
Machine Learning

[2603.24801] Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis

Abstract page for arXiv paper 2603.24801: Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driv...

arXiv - Machine Learning · 4 min ·
[2603.24775] AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A
Machine Learning

[2603.24775] AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A

Abstract page for arXiv paper 2603.24775: AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A

arXiv - AI · 4 min ·
[2603.25469] Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models
Machine Learning

[2603.25469] Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models

Abstract page for arXiv paper 2603.25469: Not a fragment, but the whole: Map-based evaluation of data-driven Fire Danger Index models

arXiv - Machine Learning · 3 min ·
[2603.24772] Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
Llms

[2603.24772] Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset

Abstract page for arXiv paper 2603.24772: Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Val...

arXiv - Machine Learning · 4 min ·
[2603.25464] Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning
Machine Learning

[2603.25464] Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning

Abstract page for arXiv paper 2603.25464: Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning

arXiv - AI · 4 min ·
[2603.25385] GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs
Llms

[2603.25385] GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs

Abstract page for arXiv paper 2603.25385: GlowQ: Group-Shared LOw-Rank Approximation for Quantized LLMs

arXiv - AI · 4 min ·
[2603.25373] Hessian-informed machine learning interatomic potential towards bridging theory and experiments
Machine Learning

[2603.25373] Hessian-informed machine learning interatomic potential towards bridging theory and experiments

Abstract page for arXiv paper 2603.25373: Hessian-informed machine learning interatomic potential towards bridging theory and experiments

arXiv - Machine Learning · 4 min ·
[2603.25342] From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents
Machine Learning

[2603.25342] From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents

Abstract page for arXiv paper 2603.25342: From Intent to Evidence: A Categorical Approach for Structural Evaluation of Deep Research Agents

arXiv - Machine Learning · 4 min ·
[2603.25325] How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
Llms

[2603.25325] How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models

Abstract page for arXiv paper 2603.25325: How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models

arXiv - AI · 4 min ·
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