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.
OpenAIThe new ChatGPT Images is here
ChatGPT Images introduces GPT Image 1.5, delivering faster, more precise, and detail-preserving image generation and editing capabilities integrated seamlessly within ChatGPT and its API.
OpenAIMeasuring AI’s capability to accelerate biological research
GPT-5 significantly accelerates biological research by autonomously optimizing molecular cloning protocols, achieving a 79-fold efficiency improvement through novel enzymatic mechanisms and robotic automation, while addressing biosecurity considerations.
OpenAIEvaluating AI’s ability to perform scientific research tasks
FrontierScience is a new expert-level benchmark designed to evaluate and advance AI capabilities in scientific reasoning and research across physics, chemistry, and biology, highlighting progress and challenges in accelerating scientific workflows with models like GPT-5.2.
MIT AI“Robot, make me a chair”
An AI-driven robotic assembly system enables users to design and build physical objects like furniture through simple text prompts, combining generative AI, vision-language models, and human feedback for rapid, accessible, and sustainable fabrication.
SalesforceHow AI-Enabled Tooling Boosted Code Output 30% — While Keeping Quality and Deployment Safety Intact
Salesforce leveraged AI-enabled developer tools and workflows to increase code output by 30% while maintaining software quality, deployment safety, and operational trust through automation, unified standards, and human-in-the-loop oversight.
Lambda LabsLambda’s multi-cloud blueprint for high-performance AI infrastructure
Lambda’s multi-cloud AI infrastructure blueprint leverages NVIDIA GPU-dense clusters, Kubernetes-native orchestration, and S3-compatible storage to enable scalable, secure, and cost-efficient AI/ML workloads across AWS, Google Cloud, Azure, and OCI.
Google CloudDisaster declaration to safety check: Google Workspace with Gemini transforms disaster response communication
Google Workspace with Gemini leverages AI and secure cloud technology to rapidly transform complex disaster declarations into interactive, user-friendly safety tools, enhancing emergency communication and response for public sector agencies.