Bagging vs Boosting vs Stacking: Which Ensemble Method Wins in 2025?
Introduction In machine learning, no single model is perfect.
Defensive Databases: Optimizing Index-Refresh Semantics
Editor’s Note: This is the first post in a series exploring how Palantir customizes infrastructure software for reliable operation at scale. Written by the Foundations organization — which owns the foundational technologies backing all our software, including our storage infrastructure — this post details our experience tuning and customizing ES without forking the source code. We have two primary …
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Running deep research AI agents on Amazon Bedrock AgentCore
AI agents are evolving beyond basic single-task helpers into more powerful systems that can plan, critique, and collaborate with other agents to solve complex problems. Deep Agents—a recently introduced framework built on LangGraph—bring these capabilities to life, enabling multi-agent workflows that mirror real-world team dynamics. The challenge, however, is not just building such agents but …
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AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design
As a Python library for accelerator-oriented array computation and program transformation, JAX is widely recognized for its power in training large-scale AI models. But its core design as a system for composable function transformations unlocks its potential in a much broader scientific landscape. Following our recent post on solving high-order partial differential equations, or PDEs, …
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For One Glorious Morning, a Website Saved San Francisco From Parking Tickets
The serial website builder Riley Walz launched a project that tracked San Francisco parking enforcement in real time—until the public data feed was cut off.
Engineers develop smarter AI to redefine control in complex systems
A new artificial intelligence breakthrough developed by researchers in the College of Engineering and Computer Science at Florida Atlantic University offers a smarter, more efficient way to manage complex systems that rely on multiple decision-makers operating at different levels of authority.
Qwen-Image-Edit-2509 has been released
This September, we are pleased to introduce Qwen-Image-Edit-2509, the monthly iteration of Qwen-Image-Edit. To experience the latest model, please visit Qwen Chat and select the “Image Editing” feature. Compared with Qwen-Image-Edit released in August, the main improvements of Qwen-Image-Edit-2509 include: Multi-image Editing Support: For multi-image inputs, Qwen-Image-Edit-2509 builds upon the Qwen-Image-Edit architecture and is further …
10 Machine Learning Newsletters to Stay Informed
Let’s face it: keeping up with new research, tools, and industry shifts in machine learning can be down-right overwhelming.
Strengthening our Frontier Safety Framework
We’re strengthening the Frontier Safety Framework (FSF) to help identify and mitigate severe risks from advanced AI models.
Scaling Muse: How Netflix Powers Data-Driven Creative Insights at Trillion-Row Scale
By Andrew Pierce, Chris Thrailkill, Victor Chiapaikeo At Netflix, we prioritize getting timely data and insights into the hands of the people who can act on them. One of our key internal applications for this purpose is Muse. Muse’s ultimate goal is to help Netflix members discover content they’ll love by ensuring our promotional media …
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