A Gentle Introduction to SHAP for Tree-Based Models
Machine learning models have become increasingly sophisticated, but this complexity often comes at the cost of interpretability.
Machine learning models have become increasingly sophisticated, but this complexity often comes at the cost of interpretability.
Gemini 2.5 Pro continues to be loved by developers as the best model for coding, and 2.5 Flash is getting even better with a new update. We’re bringing new capabilities to our models, including Deep Think, an experimental enhanced reasoning mode for 2.5 Pro.
Amazon SageMaker Projects empower data scientists to self-serve Amazon Web Services (AWS) tooling and infrastructure to organize all entities of the machine learning (ML) lifecycle, and further enable organizations to standardize and constrain the resources available to their data science teams in pre-packaged templates. For AWS customers using Terraform to define and manage their infrastructure-as-code (IaC), …
Read more “Deploy Amazon SageMaker Projects with Terraform Cloud”
Welcome to the second Cloud CISO Perspectives for May 2025. Today, Enrique Alvarez, public sector advisor, Office of the CISO, explores how government agencies can use AI to improve threat detection — and save money at the same time. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google …
Alibaba’s QwenLong-L1 helps LLMs deeply understand long documents, unlocking advanced reasoning for practical enterprise applications.Read More
Federal workers from six agencies tell WIRED that DOGE-style work is escalating in their departments as both new and familiar DOGE faces have appeared in meetings and at new offices.
As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap between promise and practice, Jann Spiess, an associate professor of operations, information, and technology at Stanford Graduate School of Business, is exploring how algorithms can be designed to most effectively support—rather than replace—human decision-makers.
Text: FLUX.1 Kontext launched today. Just the closed source versions out for now but open source version [dev] is coming soon. Here’s something I made with a simple prompt ‘clean up the car’ You can read about it, see more images and try it free here: https://runware.ai/blog/introducing-flux1-kontext-instruction-based-image-editing-with-ai submitted by /u/felixsanz [link] [comments]
Quantization is a frequently used strategy applied to production machine learning models, particularly large and complex ones, to make them lightweight by reducing the numerical precision of the model’s parameters (weights) — usually from 32-bit floating-point to lower representations like 8-bit integers.
We’re extending Gemini to become a world model that can make plans and imagine new experiences by simulating aspects of the world.