// Company Updates

From the Industry Leaders

The challenge for healthcare executives adopting AI is the noise when trying to advance an initiative...

Agentic media buying cannot scale without the right foundation. See how buyers and sellers get there on Databricks.

The bottleneck in media buying today isn't talent, it's coordinationEvery day, billions...

Observe on Apache Iceberg: Unlocking Open Observability

Observe by Snowflake on Apache Iceberg is now in private preview. Store telemetry as open Iceberg tables in your own S3 bucket, queryable by any engine.

AWS AI/MLJul 30

Deploying Kimi K3 on Amazon SageMaker HyperPod and Amazon EKS

This post walks through deploying Kimi K3 on AWS using two approaches: Amazon SageMaker HyperPod, and  Amazon Elastic Kubernetes Service (Amazon EKS) cluster.

AWS AI/MLJul 30

Deploying Kimi K3 on AWS

This post walks through deploying Kimi K3 on AWS using two approaches: Amazon SageMaker HyperPod, and  Amazon Elastic Kubernetes Service (Amazon EKS) cluster.

Microsoft ResearchJul 30

Echoverse: Deep, evolving environments for computer-use agents

Computer-use AI agents struggle with multi-step workflows like email and customer support. Echoverse trains agents in realistic environments rather than simply providing more training tasks, helping...

AWS AI/MLJul 30

How Yahoo enhances search retargeting using Amazon Bedrock

In this post, we demonstrate how Yahoo implemented Amazon Bedrock to enhance their Search Retargeting (SRT) capabilities in the Yahoo DSP ad tech suite. SRT is a core audience targeting solution that...

AWS AI/MLJul 30

Inference meta-monitoring for Amazon SageMaker AI endpoints with Amazon Quick

Learn how to build an inference meta-monitoring system for Amazon SageMaker AI endpoints using Amazon Quick. This governance layer sits above production ML inference pipelines to continuously track...

AWS AI/MLJul 30

Introducing explicit prompt caching for OpenAI GPT-5.6 models on Amazon Bedrock

OpenAI GPT-5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock, along with explicit prompt caching that gives you precise control over which parts of your prompt are cached and...

Microsoft ResearchJul 30

EvoLib: Turning experience into evolving knowledge

LLMs do not get smarter just by remembering more. EvoLib turns experience into evolving knowledge, taking reusable skills and insights that help models learn and adapt across tasks long after...

Google Cloud AIJul 30

Do more with less: How GKE can reduce your cost per agent by 75%

In today’s agentic era, modern cloud applications are evolving from a set of passive tools to fleets of autonomous digital workers that reason, plan, and take action across a wide range of tasks. For...

AWS AI/MLJul 30

Migrate your prompts to new models and optimize them on Amazon Bedrock

Amazon Bedrock Advanced Prompt Optimization optimizes your prompts for up to 5 models at once and compares original versus optimized performance across quality, latency, and cost. Migrate to a new...

Hugging FaceJul 30

GPU Management: Why Idle GPUs Are the New Grounded Aircraft

Google DeepMindJul 30

Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration

Gemini Robotics ER 2 helps robots reason, collaborate, and solve real-world tasks. It represents a step change in video understanding, tool orchestration, and multi-robot collaboration for robotic...

NVIDIAJul 30

Best in Class: Stream PC Games and Study on the Same Laptop With GeForce NOW

Back to school means balancing assignments, deadlines and downtime. GeForce NOW makes it easy to have it all. With cloud gaming, everyday laptops used for class can also become GeForce RTX-powered...

NeonJul 30

CommSync Runs Text, Vector, and Hybrid Search on Postgres with Lakebase Search

"We're running lakebase_text and lakebase_vector across three different parts of our product. Query latency improved 1,000x and we don't need a separate search stack sitting next to our Postgres."

OpenAIJul 30