· software
HubSpot vs Competitors: Which CRM to Choose in 2025?
Overview Are you struggling to pick the perfect CRM for your tech‑savvy team? With 2025 on the horizon, it’s crucial to find a solution that fits your needs—es...
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- · ai
[Paper] Efficient Deep Demosaicing with Spatially Downsampled Isotropic Networks
In digital imaging, image demosaicing is a crucial first step which recovers the RGB information from a color filter array (CFA). Oftentimes, deep learning is u...
- · ai
[Paper] BSAT: B-Spline Adaptive Tokenizer for Long-Term Time Series Forecasting
Long-term time series forecasting using transformers is hampered by the quadratic complexity of self-attention and the rigidity of uniform patching, which may b...
- · ai
[Paper] A Vision-and-Knowledge Enhanced Large Language Model for Generalizable Pedestrian Crossing Behavior Inference
Existing paradigms for inferring pedestrian crossing behavior, ranging from statistical models to supervised learning methods, demonstrate limited generalizabil...
- · ai
[Paper] TeleDoCTR: Domain-Specific and Contextual Troubleshooting for Telecommunications
Ticket troubleshooting refers to the process of analyzing and resolving problems that are reported through a ticketing system. In large organizations offering a...
- · ai
[Paper] Cost Optimization in Production Line Using Genetic Algorithm
This paper presents a genetic algorithm (GA) approach to cost-optimal task scheduling in a production line. The system consists of a set of serial processing ta...
- · ai
Off-Beat Careers That Are the Future Of Data
The unconventional career paths you need to explore The post Off-Beat Careers That Are the Future Of Data appeared first on Towards Data Science....
- · ai
[Paper] Sigmoid Head for Quality Estimation under Language Ambiguity
Language model (LM) probability is not a reliable quality estimator, as natural language is ambiguous. When multiple output options are valid, the model's proba...
- · ai
[Paper] QSLM: A Performance- and Memory-aware Quantization Framework with Tiered Search Strategy for Spike-driven Language Models
Large Language Models (LLMs) have been emerging as prominent AI models for solving many natural language tasks due to their high performance (e.g., accuracy) an...
- · ai
[Paper] IRPO: Scaling the Bradley-Terry Model via Reinforcement Learning
Generative Reward Models (GRMs) have attracted considerable research interest in reward modeling due to their interpretability, inference-time scalability, and ...
- · ai
[Paper] Fast-weight Product Key Memory
Sequence modeling layers in modern language models typically face a trade-off between storage capacity and computational efficiency. While Softmax attention off...
- · ai
[Paper] Three factor delay learning rules for spiking neural networks
Spiking Neural Networks (SNNs) are dynamical systems that operate on spatiotemporal data, yet their learnable parameters are often limited to synaptic weights, ...