AWS MLAmazon SageMaker simplifies the Amazon SageMaker Studio setup for individual users
Simplified Quick setup experience in Amazon SageMaker allows individual users to launch Amazon SageMaker Studio with default presets in minutes.
Snorkel AIFormer U.S. Chief Data Scientist on past and future of data science
Discussion between former U.S. Chief Data Scientist and Snorkel AI CEO on the history and future of data science
MetaMeta Quest 2: Defense through offense
Exploring a vulnerability in the Meta Quest 2's Android-based OS to enhance its security through manual code reviews.
DatabricksImprove Lakehouse Security Monitoring using System Tables in Databricks Unity Catalog
Improving lakehouse security monitoring by leveraging system tables in Databricks Unity Catalog
DuolingoDear Duolingo Bonus: exceptions and explanations for words that are the same worldwide
Exploring exceptions and explanations for universally known words in different languages.
MIT AIAI model speeds up high-resolution computer vision
An AI model that enhances image quality in video streaming and enables real-time identification of road hazards for autonomous vehicles.
AWS MLFalcon 180B foundation model from TII is now available via Amazon SageMaker JumpStart
The blogpost discusses how to discover and deploy the Falcon 180B foundation model via Amazon SageMaker JumpStart for running inference.
AWS MLAmazon SageMaker Domain in VPC only mode to support SageMaker Studio with auto shutdown Lifecycle Configuration and SageMaker Canvas with Terraform
Amazon SageMaker Domain in VPC only mode enhances support for SageMaker Studio and SageMaker Canvas with auto shutdown Lifecycle Configuration and Terraform integration.
RobloxRevolutionizing Creation on Roblox with Generative AI
Progress and updates on democratizing generative AI tools for creators on Roblox.
Apple MLIntelligent Assistant Language Understanding On-device
Designing and implementing a natural language understanding system for on-device personal digital assistants, with focus on privacy, reliability, speed, expressiveness, and accuracy.
Apple MLAll About Sample-Size Calculations for A/B Testing: Novel Extensions and Practical Guide
This blogpost discusses novel extensions and provides a practical guide on sample-size calculations for A/B testing to ensure trustworthy and efficient statistical inference.
MIT AISystem combines light and electrons to unlock faster, greener computing
A new system integrates light and electrons to enable faster and more energy-efficient computing, connecting photons and electronic components to create a prototype for real-time machine-learning inference requests.