Lambda LabsLambda Raises $320M to Build a GPU Cloud for AI
Lambda raises $320M in funding to build a GPU cloud for AI, providing access to thousands of NVIDIA GPUs and high-speed networking.
What is the difference between "do" and "make" in English?
Learn the difference between 'do' and 'make' in English with a simple memory trick.
CloudflareSafeguarding your brand identity: Logo Matching for Brand Protection
Detect and protect against unauthorized logo usage with Cloudflare's Logo Matching feature, part of their Brand Protection suite.
DatabricksAccelerating Success with Databricks: A Deep Dive into antuit.ai's Decision and Customer Impact
A deep dive into antuit.ai's decision to use Databricks, showcasing the impact on customer success and the benefits of scalability and efficiency.
DatabricksDatabricks adds new migration Brickbuilder Solutions to help customers succeed with AI
Databricks introduces new migration Brickbuilder Solutions to facilitate successful AI implementation.
OpenAIDisrupting malicious uses of AI by state-affiliated threat actors
Mitigating risks in AI security against state-affiliated threat actors.
GitHubFixing security vulnerabilities with AI
Empowering users to fix security vulnerabilities using AI-enhanced code scanning autofix on GitHub.
Google CloudFeel the Next '24 love: Full session catalog is now live
Browse the full session catalog for Google Cloud Next '24 and experience a larger event with increased technical depth and a focus on generative AI.
Google CloudImmersive Stream for XR: Performance and savings with NVIDIA L4 GPU and autoscaling
Immersive Stream for XR enhances performance and saves costs with NVIDIA L4 GPU and autoscaling.
GitHubGitHub Availability Report: January 2024
Fixing security vulnerabilities with AI: GitHub's Availability Report highlights incidents affecting GitHub services in January 2024 and the steps taken to prevent recurring issues.
Google AILearning the importance of training data under concept drift
Learning the importance of training data under concept drift: A method combining offline and continual learning to address slow concept drift and improve model robustness.
MIT AIUsing AI to discover stiff and tough microstructures
Using AI and computational design, researchers at MIT CSAIL have discovered tough and durable microstructured composites with optimal balance of stiffness and toughness for various engineering applications.