7 Essential Python Itertools for Feature Engineering
Feature engineering is where most of the real work in machine learning happens.
Entropy-Preserving Reinforcement Learning
Policy gradient algorithms have driven many recent advancements in language model reasoning. An appealing property is their ability to learn from exploration on their own trajectories, a process crucial for fostering diverse and creative solutions. As we show in this paper, many policy gradient algorithms naturally reduce the entropy—and thus the diversity of explored trajectories—as …
How Ring scales global customer support with Amazon Bedrock Knowledge Bases
This post is cowritten with David Kim, and Premjit Singh from Ring. Scaling self-service support globally presents challenges beyond translation. In this post, we show you how Ring, Amazon’s home security subsidiary, built a production-ready, multi-locale Retrieval-Augmented Generation (RAG)-based support chatbot using Amazon Bedrock Knowledge Bases. By eliminating per-Region infrastructure deployments, Ring reduced the cost …
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Our Favorite Amazon Streaming Stick Is Almost Half Off
The Fire TV Stick 4K Max is great for the Prime Video devout and handles other streaming services just as well.
Robots with different bodies can now share skills: What intention-based learning changes
Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built differently? A multi-institutional team including Chongjie Zhang, an associate professor of computer science and engineering at WashU McKelvey Engineering, …
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What model did they use here?
I’ve been seeing this TikTok account a lot where they make mini vlogs as if they lived in the Harry Potter universe, and it actually looks pretty good. Of course, the textures have that very clean look, so you can tell it’s AI, but for this kind of content it doesn’t really matter since it’s …
AI benchmark helps robots plan and complete their chores in the real world
No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these …
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[Update] ComfyUI VACE Video Joiner v2.5 – Seamless loops, reduced RAM usage on assembly
Github | CivitAI Point this workflow at a directory of clips and it will automatically stitch them together, fixing awkward motion and transition artifacts. At each seam, VACE generates new frames guided by context on both sides, replacing the seam with motion that flows naturally between the clips. How many context frames and generated frames …
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Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting
Existing feed-forward 3D Gaussian Splatting methods predict pixel-aligned primitives, leading to a quadratic growth in primitive count as resolution increases. This fundamentally limits their scalability, making high-resolution synthesis such as 4K intractable. We introduce LGTM (Less Gaussians, Texture More), a feed-forward framework that overcomes this resolution scaling barrier. By predicting compact Gaussian primitives coupled with …
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What Is the Best Garmin Watch Right Now? (2026)
We tested Garmin’s GPS-enabled fitness trackers and found the perfect picks for casual hikers, backcountry skiers, and more.