· ai
Retrieval for Time-Series: How Looking Back Improves Forecasts
Why Retrieval Helps in Time Series Forecasting We all know how it goes: Time-series data is tricky. Traditional forecasting models are unprepared for incidents...
-
- · ai
Rethinking AI from First Principles
!NiceTryWiseGuyhttps://media2.dev.to/dynamic/image/width=50,height=50,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads...
- · ai
[Paper] Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
Pull request (PR) descriptions generated by AI coding agents are the primary channel for communicating code changes to human reviewers. However, the alignment b...
- · ai
کاربردهای هوش مصنوعی در کشاورزی
Read more about کاربردهای هوش مصنوعی در کشاورزی...
- · ai
[Paper] Neural-Symbolic Integration with Evolvable Policies
Neural-Symbolic (NeSy) Artificial Intelligence has emerged as a promising approach for combining the learning capabilities of neural networks with the interpret...
- · ai
لماذا نعتقد: كيف يمكننا تحسين قدرة النماذج على التفكير
!Cover image for لماذا نعتقد: كيف يمكننا تحسين قدرة النماذج على التفكيرhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=a...
- · ai
[Paper] MoEBlaze: Breaking the Memory Wall for Efficient MoE Training on Modern GPUs
The pervasive 'memory wall' bottleneck is significantly amplified in modern large-scale Mixture-of-Experts (MoE) architectures. MoE's inherent architectural spa...
- · ai
[Paper] MQ-GNN: A Multi-Queue Pipelined Architecture for Scalable and Efficient GNN Training
Graph Neural Networks (GNNs) are powerful tools for learning graph-structured data, but their scalability is hindered by inefficient mini-batch generation, data...
- · ai
[Paper] Mechanism Design for Federated Learning with Non-Monotonic Network Effects
Mechanism design is pivotal to federated learning (FL) for maximizing social welfare by coordinating self-interested clients. Existing mechanisms, however, ofte...
- · ai
[Paper] Timeliness-Oriented Scheduling and Resource Allocation in Multi-Region Collaborative Perception
Collaborative perception (CP) is a critical technology in applications like autonomous driving and smart cities. It involves the sharing and fusion of informati...
- · ai
[Paper] AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation
Recent advancements in large language models (LLMs) have automated various software engineering tasks, with benchmarks emerging to evaluate their capabilities. ...
- · ai
[Paper] Paradoxical noise preference in RNNs
In recurrent neural networks (RNNs) used to model biological neural networks, noise is typically introduced during training to emulate biological variability an...