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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

[2603.24752] Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical-to-Quantum Transfer Learning
Machine Learning

[2603.24752] Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical-to-Quantum Transfer Learning

Abstract page for arXiv paper 2603.24752: Autotuning T-PaiNN: Enabling Data-Efficient GNN Interatomic Potential Development via Classical...

arXiv - Machine Learning · 4 min ·
[2603.25006] Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning
Machine Learning

[2603.25006] Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning

Abstract page for arXiv paper 2603.25006: Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning

arXiv - AI · 4 min ·
[2603.24989] Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model
Llms

[2603.24989] Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model

Abstract page for arXiv paper 2603.24989: Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model

arXiv - AI · 4 min ·
[2603.24986] Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators
Llms

[2603.24986] Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators

Abstract page for arXiv paper 2603.24986: Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators

arXiv - AI · 3 min ·
[2603.24705] Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
Machine Learning

[2603.24705] Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

Abstract page for arXiv paper 2603.24705: Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

arXiv - Machine Learning · 4 min ·
[2603.24704] Conformal Selective Prediction with General Risk Control
Machine Learning

[2603.24704] Conformal Selective Prediction with General Risk Control

Abstract page for arXiv paper 2603.24704: Conformal Selective Prediction with General Risk Control

arXiv - Machine Learning · 4 min ·
[2603.24654] Spectral methods: crucial for machine learning, natural for quantum computers?
Machine Learning

[2603.24654] Spectral methods: crucial for machine learning, natural for quantum computers?

Abstract page for arXiv paper 2603.24654: Spectral methods: crucial for machine learning, natural for quantum computers?

arXiv - Machine Learning · 4 min ·
[2603.24652] Demystifying When Pruning Works via Representation Hierarchies
Machine Learning

[2603.24652] Demystifying When Pruning Works via Representation Hierarchies

Abstract page for arXiv paper 2603.24652: Demystifying When Pruning Works via Representation Hierarchies

arXiv - Machine Learning · 3 min ·
[2603.24940] Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system
Llms

[2603.24940] Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system

Abstract page for arXiv paper 2603.24940: Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-i...

arXiv - AI · 4 min ·
[2603.24936] TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Optimization
Machine Learning

[2603.24936] TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Optimization

Abstract page for arXiv paper 2603.24936: TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Opti...

arXiv - AI · 4 min ·
[2603.24626] A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data
Machine Learning

[2603.24626] A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data

Abstract page for arXiv paper 2603.24626: A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data

arXiv - Machine Learning · 4 min ·
[2603.24617] Multi-LLM Query Optimization
Llms

[2603.24617] Multi-LLM Query Optimization

Abstract page for arXiv paper 2603.24617: Multi-LLM Query Optimization

arXiv - Machine Learning · 3 min ·
[2603.24898] Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Clinical Intelligence
Machine Learning

[2603.24898] Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Clinical Intelligence

Abstract page for arXiv paper 2603.24898: Sovereign AI at the Front Door of Care: A Physically Unidirectional Architecture for Secure Cli...

arXiv - AI · 4 min ·
[2603.24598] Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles
Machine Learning

[2603.24598] Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles

Abstract page for arXiv paper 2603.24598: Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles

arXiv - Machine Learning · 4 min ·
[2603.25699] Neural Network Conversion of Machine Learning Pipelines
Machine Learning

[2603.25699] Neural Network Conversion of Machine Learning Pipelines

Abstract page for arXiv paper 2603.25699: Neural Network Conversion of Machine Learning Pipelines

arXiv - AI · 3 min ·
[2603.24891] Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware
Machine Learning

[2603.24891] Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware

Abstract page for arXiv paper 2603.24891: Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparamet...

arXiv - AI · 4 min ·
[2603.25692] A Unified Memory Perspective for Probabilistic Trustworthy AI
Machine Learning

[2603.25692] A Unified Memory Perspective for Probabilistic Trustworthy AI

Abstract page for arXiv paper 2603.25692: A Unified Memory Perspective for Probabilistic Trustworthy AI

arXiv - AI · 3 min ·
[2603.25687] On Neural Scaling Laws for Weather Emulation through Continual Training
Llms

[2603.25687] On Neural Scaling Laws for Weather Emulation through Continual Training

Abstract page for arXiv paper 2603.25687: On Neural Scaling Laws for Weather Emulation through Continual Training

arXiv - Machine Learning · 4 min ·
[2603.25673] Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening
Machine Learning

[2603.25673] Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening

Abstract page for arXiv paper 2603.25673: Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening

arXiv - Machine Learning · 4 min ·
[2603.24857] AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective
Llms

[2603.24857] AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective

Abstract page for arXiv paper 2603.24857: AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective

arXiv - Machine Learning · 4 min ·
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