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Top 10 AI certifications and courses for 2026
Ai Startups

Top 10 AI certifications and courses for 2026

This article reviews the top 10 AI certifications and courses for 2026, highlighting their significance in a rapidly evolving field and t...

AI Events · 15 min ·
[2603.18109] Discovery of Bimodal Drift Rate Structure in FRB 20240114A: Evidence for Dual Emission Regions
Machine Learning

[2603.18109] Discovery of Bimodal Drift Rate Structure in FRB 20240114A: Evidence for Dual Emission Regions

Abstract page for arXiv paper 2603.18109: Discovery of Bimodal Drift Rate Structure in FRB 20240114A: Evidence for Dual Emission Regions

arXiv - AI · 4 min ·
[2509.22367] What Is The Political Content in LLMs' Pre- and Post-Training Data?
Llms

[2509.22367] What Is The Political Content in LLMs' Pre- and Post-Training Data?

Abstract page for arXiv paper 2509.22367: What Is The Political Content in LLMs' Pre- and Post-Training Data?

arXiv - AI · 4 min ·

All Content

[2602.18793] From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection
Machine Learning

[2602.18793] From Few-Shot to Zero-Shot: Towards Generalist Graph Anomaly Detection

This paper presents a novel approach to graph anomaly detection (GAD) that transitions from few-shot to zero-shot learning, enabling effe...

arXiv - Machine Learning · 4 min ·
[2602.19390] Artificial Intelligence for Modeling & Simulation in Digital Twins
Machine Learning

[2602.19390] Artificial Intelligence for Modeling & Simulation in Digital Twins

This article explores the integration of artificial intelligence with modeling and simulation in digital twins, highlighting their roles ...

arXiv - AI · 4 min ·
[2602.18786] CaliCausalRank: Calibrated Multi-Objective Ad Ranking with Robust Counterfactual Utility Optimization
Ai Safety

[2602.18786] CaliCausalRank: Calibrated Multi-Objective Ad Ranking with Robust Counterfactual Utility Optimization

CaliCausalRank presents a novel framework for optimizing multi-objective ad ranking systems, addressing challenges like score scale incon...

arXiv - Machine Learning · 3 min ·
[2602.18769] GLaDiGAtor: Language-Model-Augmented Multi-Relation Graph Learning for Predicting Disease-Gene Associations
Machine Learning

[2602.18769] GLaDiGAtor: Language-Model-Augmented Multi-Relation Graph Learning for Predicting Disease-Gene Associations

GLaDiGAtor is a novel graph neural network framework that enhances disease-gene association predictions by integrating language models an...

arXiv - AI · 4 min ·
[2602.19298] ALPACA: A Reinforcement Learning Environment for Medication Repurposing and Treatment Optimization in Alzheimer's Disease
Machine Learning

[2602.19298] ALPACA: A Reinforcement Learning Environment for Medication Repurposing and Treatment Optimization in Alzheimer's Disease

The paper presents ALPACA, a reinforcement learning environment designed for optimizing medication repurposing and treatment strategies i...

arXiv - AI · 3 min ·
[2602.19297] Automated Generation of Microfluidic Netlists using Large Language Models
Llms

[2602.19297] Automated Generation of Microfluidic Netlists using Large Language Models

This article presents a novel approach to automate the generation of microfluidic netlists using large language models (LLMs), demonstrat...

arXiv - AI · 3 min ·
[2602.18740] HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
Ai Agents

[2602.18740] HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning

The paper presents HONEST-CAV, a hierarchical framework for optimizing traffic flow in mixed environments of human-driven and automated v...

arXiv - AI · 4 min ·
[2602.18728] Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering
Nlp

[2602.18728] Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering

This article presents a novel approach to unsupervised multi-view clustering through Phase-Consistent Magnetic Spectral Learning, address...

arXiv - Machine Learning · 4 min ·
[2602.19223] Characterizing MARL for Energy Control: A Multi-KPI Benchmark on the CityLearn Environment
Ai Agents

[2602.19223] Characterizing MARL for Energy Control: A Multi-KPI Benchmark on the CityLearn Environment

This paper presents a comprehensive benchmark for Multi-Agent Reinforcement Learning (MARL) applied to urban energy management using the ...

arXiv - Machine Learning · 4 min ·
[2602.18679] Transformers for dynamical systems learn transfer operators in-context
Llms

[2602.18679] Transformers for dynamical systems learn transfer operators in-context

This article explores how transformers can learn transfer operators for dynamical systems through in-context learning, enabling zero-shot...

arXiv - Machine Learning · 3 min ·
[2602.18662] Large Causal Models for Temporal Causal Discovery
Machine Learning

[2602.18662] Large Causal Models for Temporal Causal Discovery

This paper presents Large Causal Models (LCMs) designed for temporal causal discovery, addressing limitations of traditional dataset-spec...

arXiv - Machine Learning · 3 min ·
[2602.19158] DoAtlas-1: A Causal Compilation Paradigm for Clinical AI
Llms

[2602.19158] DoAtlas-1: A Causal Compilation Paradigm for Clinical AI

The paper presents DoAtlas-1, a novel causal compilation paradigm for clinical AI that transforms medical evidence into executable code, ...

arXiv - AI · 3 min ·
[2602.18649] Global Low-Rank, Local Full-Rank: The Holographic Encoding of Learned Algorithms
Machine Learning

[2602.18649] Global Low-Rank, Local Full-Rank: The Holographic Encoding of Learned Algorithms

This paper explores the holographic encoding principle in neural networks, demonstrating that learned algorithms exhibit global low-rank ...

arXiv - AI · 4 min ·
[2602.18647] Information-Guided Noise Allocation for Efficient Diffusion Training
Machine Learning

[2602.18647] Information-Guided Noise Allocation for Efficient Diffusion Training

The paper presents InfoNoise, a data-adaptive noise scheduling method for diffusion training, enhancing efficiency and performance by uti...

arXiv - AI · 4 min ·
[2602.18645] Adaptive Time Series Reasoning via Segment Selection
Machine Learning

[2602.18645] Adaptive Time Series Reasoning via Segment Selection

The paper presents ARTIST, a novel approach to time series reasoning that utilizes adaptive segment selection to improve accuracy in answ...

arXiv - Machine Learning · 4 min ·
[2602.18628] Non-Interfering Weight Fields: Treating Model Parameters as a Continuously Extensible Function
Llms

[2602.18628] Non-Interfering Weight Fields: Treating Model Parameters as a Continuously Extensible Function

The paper introduces Non-Interfering Weight Fields (NIWF), a novel framework that allows neural networks to extend capabilities without f...

arXiv - AI · 4 min ·
[2602.18591] Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning
Machine Learning

[2602.18591] Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning

The paper presents ETAP, a framework for predicting task affinity in multi-task learning, enhancing efficiency by grouping tasks that ben...

arXiv - Machine Learning · 4 min ·
[2602.18584] GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry
Machine Learning

[2602.18584] GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry

The paper presents GIST, a method for targeted data selection in instruction tuning, improving efficiency by aligning training gradients ...

arXiv - AI · 4 min ·
[2602.18572] Sub-City Real Estate Price Index Forecasting at Weekly Horizons Using Satellite Radar and News Sentiment
Machine Learning

[2602.18572] Sub-City Real Estate Price Index Forecasting at Weekly Horizons Using Satellite Radar and News Sentiment

This article explores the forecasting of sub-city real estate price indices on a weekly basis by integrating satellite radar data and new...

arXiv - Machine Learning · 4 min ·
[2602.18523] The Geometry of Multi-Task Grokking: Transverse Instability, Superposition, and Weight Decay Phase Structure
Machine Learning

[2602.18523] The Geometry of Multi-Task Grokking: Transverse Instability, Superposition, and Weight Decay Phase Structure

This article explores the geometric analysis of multi-task grokking in machine learning, detailing five key phenomena observed during tra...

arXiv - AI · 4 min ·
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