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Llms

πŸ€– AI News Digest - March 27, 2026

Today's AI news: 1. My minute-by-minute response to the LiteLLM malware attack The article describes a detailed, minute-by-minute respons...

Reddit - Artificial Intelligence · 1 min ·
Llms

[D] Real-time Student Attention Detection: ResNet vs Facial Landmarks - Which approach for resource-constrained deployment?

I have a problem statement where we are supposed to detect the attention level of student in a classroom, basically output whether he is ...

Reddit - Machine Learning · 1 min ·
Ai Infrastructure

[D] Building a demand forecasting system for multi-location retail with no POS integration, architecture feedback wanted

We’re building a lightweight demand forecasting engine on top of manually entered operational data. No POS integration, no external feeds...

Reddit - Machine Learning · 1 min ·

All Content

[2603.24196] Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
Machine Learning

[2603.24196] Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks

Abstract page for arXiv paper 2603.24196: Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quan...

arXiv - Machine Learning · 4 min ·
[2603.24041] Minimal Sufficient Representations for Self-interpretable Deep Neural Networks
Machine Learning

[2603.24041] Minimal Sufficient Representations for Self-interpretable Deep Neural Networks

Abstract page for arXiv paper 2603.24041: Minimal Sufficient Representations for Self-interpretable Deep Neural Networks

arXiv - Machine Learning · 3 min ·
[2603.23974] Machine vision with small numbers of detected photons per inference
Machine Learning

[2603.23974] Machine vision with small numbers of detected photons per inference

Abstract page for arXiv paper 2603.23974: Machine vision with small numbers of detected photons per inference

arXiv - Machine Learning · 4 min ·
[2603.23971] The Price Reversal Phenomenon: When Cheaper Reasoning Models End Up Costing More
Llms

[2603.23971] The Price Reversal Phenomenon: When Cheaper Reasoning Models End Up Costing More

Abstract page for arXiv paper 2603.23971: The Price Reversal Phenomenon: When Cheaper Reasoning Models End Up Costing More

arXiv - Machine Learning · 4 min ·
[2603.23911] Self-Distillation for Multi-Token Prediction
Llms

[2603.23911] Self-Distillation for Multi-Token Prediction

Abstract page for arXiv paper 2603.23911: Self-Distillation for Multi-Token Prediction

arXiv - Machine Learning · 3 min ·
[2603.23914] Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding
Llms

[2603.23914] Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding

Abstract page for arXiv paper 2603.23914: Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient ...

arXiv - Machine Learning · 4 min ·
[2603.23890] Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis
Ai Infrastructure

[2603.23890] Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis

Abstract page for arXiv paper 2603.23890: Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis

arXiv - Machine Learning · 4 min ·
[2603.23835] Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models
Machine Learning

[2603.23835] Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models

Abstract page for arXiv paper 2603.23835: Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models

arXiv - Machine Learning · 4 min ·
[2603.23722] Dual-Gated Epistemic Time-Dilation: Autonomous Compute Modulation in Asynchronous MARL
Machine Learning

[2603.23722] Dual-Gated Epistemic Time-Dilation: Autonomous Compute Modulation in Asynchronous MARL

Abstract page for arXiv paper 2603.23722: Dual-Gated Epistemic Time-Dilation: Autonomous Compute Modulation in Asynchronous MARL

arXiv - Machine Learning · 4 min ·
[2603.23736] Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems
Machine Learning

[2603.23736] Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems

Abstract page for arXiv paper 2603.23736: Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems

arXiv - Machine Learning · 4 min ·
[2603.23668] Energy Efficient Software Hardware CoDesign for Machine Learning: From TinyML to Large Language Models
Llms

[2603.23668] Energy Efficient Software Hardware CoDesign for Machine Learning: From TinyML to Large Language Models

Abstract page for arXiv paper 2603.23668: Energy Efficient Software Hardware CoDesign for Machine Learning: From TinyML to Large Language...

arXiv - Machine Learning · 3 min ·
[2603.23640] LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load
Llms

[2603.23640] LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load

Abstract page for arXiv paper 2603.23640: LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustain...

arXiv - Machine Learning · 4 min ·
[2603.23611] LLMORPH: Automated Metamorphic Testing of Large Language Models
Llms

[2603.23611] LLMORPH: Automated Metamorphic Testing of Large Language Models

Abstract page for arXiv paper 2603.23611: LLMORPH: Automated Metamorphic Testing of Large Language Models

arXiv - Machine Learning · 4 min ·
[2603.23544] DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction
Machine Learning

[2603.23544] DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction

Abstract page for arXiv paper 2603.23544: DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio...

arXiv - Machine Learning · 4 min ·
[2603.23539] PLDR-LLMs Reason At Self-Organized Criticality
Llms

[2603.23539] PLDR-LLMs Reason At Self-Organized Criticality

Abstract page for arXiv paper 2603.23539: PLDR-LLMs Reason At Self-Organized Criticality

arXiv - Machine Learning · 3 min ·
[2603.24503] Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
Machine Learning

[2603.24503] Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling

Abstract page for arXiv paper 2603.24503: Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Networ...

arXiv - Machine Learning · 3 min ·
[2603.24213] Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage
Machine Learning

[2603.24213] Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link to attribute Leakage

Abstract page for arXiv paper 2603.24213: Uncovering Memorization in Timeseries Imputation models: LBRM Membership Inference and its link...

arXiv - Machine Learning · 4 min ·
[2603.24186] TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs
Machine Learning

[2603.24186] TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs

Abstract page for arXiv paper 2603.24186: TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs

arXiv - Machine Learning · 4 min ·
[2603.24143] Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations
Machine Learning

[2603.24143] Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations

Abstract page for arXiv paper 2603.24143: Linear-Nonlinear Fusion Neural Operator for Partial Differential Equations

arXiv - Machine Learning · 4 min ·
[2603.24105] Causality-Driven Disentangled Representation Learning in Multiplex Graphs
Machine Learning

[2603.24105] Causality-Driven Disentangled Representation Learning in Multiplex Graphs

Abstract page for arXiv paper 2603.24105: Causality-Driven Disentangled Representation Learning in Multiplex Graphs

arXiv - Machine Learning · 3 min ·
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Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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