· ai
Building production AI on Google Cloud TPUs with JAX
JAX has become a key framework for developing state‑of‑the‑art foundation models across the AI landscape, and not just at Google. Leading LLM providers such as...
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[Paper] Sampling on Metric Graphs
Metric graphs are structures obtained by associating edges in a standard graph with segments of the real line and gluing these segments at the vertices of the g...
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The Machine Learning Lessons I’ve Learned This Month
Christmas connections, Copilot's costs, careful no-choices The post The Machine Learning Lessons I’ve Learned This Month appeared first on Towards Data Science....
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The Machine Learning “Advent Calendar” Day 1: k-NN Regressor in Excel
This first day of the Advent Calendar introduces the k-NN regressor, the simplest distance-based model. Using Excel, we explore how predictions rely entirely on...
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[Paper] Feature Selection Empowered BERT for Detection of Hate Speech with Vocabulary Augmentation
Abusive speech on social media poses a persistent and evolving challenge, driven by the continuous emergence of novel slang and obfuscated terms designed to cir...
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[Paper] EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
Generative modeling has recently shown remarkable promise for visuomotor policy learning, enabling flexible and expressive control across diverse embodied AI ta...
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[Paper] A Diffusion Model Framework for Maximum Entropy Reinforcement Learning
Diffusion models have achieved remarkable success in data-driven learning and in sampling from complex, unnormalized target distributions. Building on this prog...
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[Paper] Visual Sync: Multi-Camera Synchronization via Cross-View Object Motion
Today, people can easily record memorable moments, ranging from concerts, sports events, lectures, family gatherings, and birthday parties with multiple consume...
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[Paper] Improved Mean Flows: On the Challenges of Fastforward Generative Models
MeanFlow (MF) has recently been established as a framework for one-step generative modeling. However, its ``fastforward'' nature introduces key challenges in bo...
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[Paper] Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling
As large language models have grown larger, low-precision numerical formats such as NVFP4 have become increasingly popular due to the speed and memory benefits ...
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[Paper] AlignSAE: Concept-Aligned Sparse Autoencoders
Large Language Models (LLMs) encode factual knowledge within hidden parametric spaces that are difficult to inspect or control. While Sparse Autoencoders (SAEs)...
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[Paper] Learning Sim-to-Real Humanoid Locomotion in 15 Minutes
Massively parallel simulation has reduced reinforcement learning (RL) training time for robots from days to minutes. However, achieving fast and reliable sim-to...