Google CloudGoogle named a Leader in The Forrester Wave™: AI Infrastructure Solutions, Q4 2025
Google Cloud is recognized as a Leader in The Forrester Wave™ AI Infrastructure Solutions report for Q4 2025, demonstrating excellence in scalable, integrated, efficient, and secure AI infrastructure systems that support diverse hardware accelerators and flexible deployment options.
Google CloudGoogle named a Leader in The Forrester Wave™: AI Infrastructure Solutions, Q4 2025
Google Cloud is recognized as a leader in AI infrastructure solutions for its integrated, efficient, secure, and scalable AI systems, featuring custom hardware, flexible deployment options, and robust security tailored for enterprise-grade AI workloads.
Google CloudAutomate AI and HPC clusters with Cluster Director, now generally available
Cluster Director now generally available, automates lifecycle management for AI and HPC Slurm clusters with topology-aware control, seamless GKE integration, and active monitoring for reliable, scalable high-performance computing.
Automating Golden Path upgrades at scale: a journey from manual upgrades to an AI-powered workflow
Leveraging OpenRewrite and AI agents, this automated workflow streamlines upgrading Java microservices to standardized Golden Path versions, tackling build errors and scaling across hundreds of repos efficiently.
Apple MLEfficient Calibration for Decision Making
Introduces a tractable framework for efficient calibration decision loss by restricting post-processing families, providing theoretical insights and algorithmic guarantees for recalibration in machine learning.
Apple MLThe Communication Complexity of Distributed Estimation
Explores communication complexity bounds and optimal protocols for distributed estimation problems, highlighting improvements in debiasing and private mean estimation under privacy constraints.
Apple MLAgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities
AgREE introduces an agent-based framework leveraging iterative retrieval and multi-step reasoning to enhance knowledge graph completion for emerging entities without requiring training, outperforming existing methods significantly.
AWS MLTrack machine learning experiments with MLflow on Amazon SageMaker using Snowflake integration
Learn how to integrate Amazon SageMaker managed MLflow with Snowflake via Snowpark to streamline machine learning experiment tracking, model management, and deployment in a secure, scalable environment.
AWS MLTracking and managing assets used in AI development with Amazon SageMaker AI
Leverage Amazon SageMaker AI's dataset versioning, custom evaluators, automatic lineage tracking, and MLflow integration to efficiently track, manage, and reproduce assets throughout the generative AI development lifecycle.
Google DeepMindGemini 3 Flash: frontier intelligence built for speed
Introducing Gemini 3 Flash, a cutting-edge intelligence platform engineered for unparalleled speed and performance.
DatabricksSQL on the Databricks Lakehouse in 2025
Databricks SQL in 2025 delivers serverless, AI-native, and open-standard analytics on the Lakehouse platform with enhanced performance, automation, and cost governance for modern data teams.
OpenAIEvaluating AI’s ability to perform scientific research tasks
FrontierScience introduces a cross-domain benchmark to quantify expert-level AI scientific reasoning—from Olympiad-style problems to open-ended research tasks—highlighting GPT-5.2's performance and the path toward accelerating real-world science.