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Machine Learning

Real World Physics-Informed AI Applications [D]

I'm curios to find any real-world applications of physics-informed AI. Conventional AI, talking only about Neural Networks, have already ...

Reddit - Machine Learning · 1 min ·
Machine Learning

Phone screen: Microsoft AI Principal MLE

submitted by /u/sustain-able-tea [link] [comments]

Reddit - ML Jobs · 1 min ·
Llms

We open-sourced our AI agent config management tool — 888 stars, nearly 100 forks — requesting community feedback

We've been building Caliber to solve AI agent configuration management and released our full setup as open source. The response has been ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2604.03524] Structural Rigidity and the 57-Token Predictive Window: A Physical Framework for Inference-Layer Governability in Large Language Models
Llms

[2604.03524] Structural Rigidity and the 57-Token Predictive Window: A Physical Framework for Inference-Layer Governability in Large Language Models

Abstract page for arXiv paper 2604.03524: Structural Rigidity and the 57-Token Predictive Window: A Physical Framework for Inference-Laye...

arXiv - AI · 4 min ·
[2604.03506] BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
Machine Learning

[2604.03506] BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data

Abstract page for arXiv paper 2604.03506: BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Traini...

arXiv - AI · 4 min ·
[2604.03498] Resource-Conscious Modeling for Next- Day Discharge Prediction Using Clinical Notes
Llms

[2604.03498] Resource-Conscious Modeling for Next- Day Discharge Prediction Using Clinical Notes

Abstract page for arXiv paper 2604.03498: Resource-Conscious Modeling for Next- Day Discharge Prediction Using Clinical Notes

arXiv - AI · 3 min ·
[2604.03393] TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering
Machine Learning

[2604.03393] TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering

Abstract page for arXiv paper 2604.03393: TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question Answering

arXiv - AI · 4 min ·
[2604.03387] Hume's Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted Away
Machine Learning

[2604.03387] Hume's Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted Away

Abstract page for arXiv paper 2604.03387: Hume's Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted ...

arXiv - AI · 3 min ·
[2604.03376] VERT: Reliable LLM Judges for Radiology Report Evaluation
Llms

[2604.03376] VERT: Reliable LLM Judges for Radiology Report Evaluation

Abstract page for arXiv paper 2604.03376: VERT: Reliable LLM Judges for Radiology Report Evaluation

arXiv - AI · 4 min ·
[2604.03356] Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing
Llms

[2604.03356] Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing

Abstract page for arXiv paper 2604.03356: Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing

arXiv - AI · 3 min ·
[2604.03286] Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models
Llms

[2604.03286] Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models

Abstract page for arXiv paper 2604.03286: Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models

arXiv - AI · 3 min ·
[2604.03232] IC3-Evolve: Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checking
Llms

[2604.03232] IC3-Evolve: Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model Checking

Abstract page for arXiv paper 2604.03232: IC3-Evolve: Proof-/Witness-Gated Offline LLM-Driven Heuristic Evolution for IC3 Hardware Model ...

arXiv - AI · 4 min ·
[2603.29171] Segmentation of Gray Matters and White Matters from Brain MRI data
Llms

[2603.29171] Segmentation of Gray Matters and White Matters from Brain MRI data

Abstract page for arXiv paper 2603.29171: Segmentation of Gray Matters and White Matters from Brain MRI data

arXiv - Machine Learning · 4 min ·
[2603.18104] Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI
Machine Learning

[2603.18104] Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI

Abstract page for arXiv paper 2603.18104: Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometri...

arXiv - Machine Learning · 4 min ·
[2602.09924] LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations
Llms

[2602.09924] LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations

Abstract page for arXiv paper 2602.09924: LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations

arXiv - AI · 3 min ·
[2602.09580] SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows
Machine Learning

[2602.09580] SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows

Abstract page for arXiv paper 2602.09580: SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and ...

arXiv - Machine Learning · 4 min ·
[2602.01528] Making Bias Non-Predictive: Training Robust LLM Reasoning via Reinforcement Learning
Llms

[2602.01528] Making Bias Non-Predictive: Training Robust LLM Reasoning via Reinforcement Learning

Abstract page for arXiv paper 2602.01528: Making Bias Non-Predictive: Training Robust LLM Reasoning via Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2601.22783] Compact Hypercube Embeddings for Fast Text-based Wildlife Observation Retrieval
Llms

[2601.22783] Compact Hypercube Embeddings for Fast Text-based Wildlife Observation Retrieval

Abstract page for arXiv paper 2601.22783: Compact Hypercube Embeddings for Fast Text-based Wildlife Observation Retrieval

arXiv - Machine Learning · 4 min ·
[2601.22264] Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models
Llms

[2601.22264] Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models

Abstract page for arXiv paper 2601.22264: Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language...

arXiv - AI · 4 min ·
[2601.21670] Improving Multimodal Learning with Dispersive and Anchoring Regularization
Machine Learning

[2601.21670] Improving Multimodal Learning with Dispersive and Anchoring Regularization

Abstract page for arXiv paper 2601.21670: Improving Multimodal Learning with Dispersive and Anchoring Regularization

arXiv - Machine Learning · 3 min ·
[2601.21343] Self-Improving Pretraining: using post-trained models to pretrain better models
Llms

[2601.21343] Self-Improving Pretraining: using post-trained models to pretrain better models

Abstract page for arXiv paper 2601.21343: Self-Improving Pretraining: using post-trained models to pretrain better models

arXiv - AI · 3 min ·
[2601.19376] Teaching Machine Learning Fundamentals with LEGO Robotics
Machine Learning

[2601.19376] Teaching Machine Learning Fundamentals with LEGO Robotics

Abstract page for arXiv paper 2601.19376: Teaching Machine Learning Fundamentals with LEGO Robotics

arXiv - AI · 3 min ·
[2601.08950] ConvoLearn: A Dataset for Fine-Tuning Dialogic AI Tutors
Llms

[2601.08950] ConvoLearn: A Dataset for Fine-Tuning Dialogic AI Tutors

Abstract page for arXiv paper 2601.08950: ConvoLearn: A Dataset for Fine-Tuning Dialogic AI Tutors

arXiv - AI · 3 min ·
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