Google Cloud Innovator Juan Guillermo Gómez on transforming AI and the importance of community

Google Cloud Champion Innovators are a global network of more than 600 non-Google professionals, who are technical experts in Google Cloud products and services. Each Champion specializes in one of nine different technical categories which are cloud AI/ML, data analytics, hybrid multi-cloud, modern architecture, security and networking, serverless app development, storage, Workspace and databases. In …

Showcasing Love through AI Art: Celebrating Motherhood this Mother’s Day on NightCafe

When we think of Mother’s Day, heartfelt emotions and cherished memories come to mind. But what if I told you that AI-generated art can capture these feelings too? Today, let’s journey into the world of AI art to challenge preconceived notions that AI is soulless, cold, and mechanical. We’re here to showcase how AI art …

The Slingshot Effect: A Late-Stage Optimization Anomaly in Adam-Family of Optimization Methods

Adaptive gradient methods, notably Adam, have become indispensable for optimizing neural networks, particularly in conjunction with Transformers. In this paper, we present a novel optimization anomaly called the Slingshot Effect, which manifests during extremely late stages of training. We identify a distinctive characteristic of this phenomenon through cyclic phase transitions between stable and unstable training …

5 steps for implementing change management in your organization

Change is inevitable in an organization; especially in the age of digital transformation and emerging technologies, businesses and employees need to adapt. Change management (CM) is a methodology that ensures both leaders and employees are equipped and supported when implementing changes to an organization. The goal of a change management plan, or more accurately an …

ML 16320 Studio Local Mode image001

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode and Docker support. ML model development often involves slow iteration cycles as developers switch between coding, training, and deployment. Each step requires waiting for remote compute resources to start up, which …