This work investigates whether large language models (LLMs) offer advantages over traditional neural networks for astronomical data processing, in regimes with ...
Attention mechanisms are the core of foundation models, but their quadratic complexity remains a critical bottleneck for scaling. This challenge has driven the ...
Quantum key distribution (QKD) security fundamentally relies on the ability to distinguish genuine quantum correlations from classical eavesdropper simulations,...
Training with differential privacy (DP) provides a guarantee to members in a dataset that they cannot be identified by users of the released model. However, tho...
Sketches are simple human hand-drawn abstractions of complex scenes and real-world objects. Although the field of sketch representation learning has advanced si...
PyTorch Model Performance Analysis and Optimization — Part 11 The post Overcoming the Hidden Performance Traps of Variable-Shaped Tensors: Efficient Data Sampli...
From local distance to global probability The post The Machine Learning “Advent Calendar” Day 3: GNB, LDA and QDA in Excel appeared first on Towards Data Scienc...
AI/ML News Highlights for December 03, 2025 1. The 4/$delta$ Bound: Designing Predictable LLM‑Verifier Systems for Formal Method Guarantee The introduction of...
What Bias Really Means Practical Definition Bias is how wrong your model is on average because it failed to learn the true pattern. High bias occurs when: - Th...
Graph classification is a fundamental task in domains ranging from molecular property prediction to materials design. While graph neural networks (GNNs) achieve...
“BG3 players exploit children,” reads an Google AI-generated headline. | Image: Google Did you know that BG3 players exploit children? Are you aware that Qi2 s...
Rohit Prasad, Amazon's SVP of AGI. This is an excerpt of Sources by Alex Heath, a newsletter about AI and the tech industry, syndicated just for The Verge subs...
