Amazon Introduces Nova Act for Automated UX Testing
Amazon unveiled Nova Act, a multimodal model that analyzes web interfaces through vision and action, enabling scalable UX testing for digital platforms.
Amazon unveiled Nova Act, a multimodal model that analyzes web interfaces through vision and action, enabling scalable UX testing for digital platforms.
Amazon's QA Studio streamlines regression testing with batch execution and CI/CD integration, supporting up to 20 tests running concurrently.
Thrad.ai leverages multi-agent systems to automate social intelligence for AI advertising, scoring prospects with 100-point scale based on signal triangulation.
Superhuman's new auto-draft feature, tested by the company's co-founder, generates replies that require minimal editing, with 40% of drafts sent within a day.
Spotify launched an AI-powered music assistant for Premium users in the U.S., Ireland, and Sweden, allowing interactive conversations to select audio content.
AMD announced a new emulation pipeline for NVFP4 models on MI355 accelerators, allowing direct deployment of checkpoints from NVIDIA, AMD, and open-source communities without conversion.
Amazon SageMaker AI introduced a user interface for generative AI inference recommendations in April 2026, enabling customers to get production-ready configurations in minutes for common workloads.
Amazon Bedrock AgentCore now supports OAuth 2.0 token exchange for multi-tenant agents, enabling secure identity propagation across tenant boundaries.
Bluesight, a healthcare compliance platform, launched Prism Assistant for ControlCheck in May 2026, reducing manual audit hours by over 4,000 annually for hospitals.
X Square Robot announced an open AI stack designed to unify robot learning data, world models, and action models. The stack aims to enable general-purpose robots to interact with the physical world.
Waze, Google’s navigation app, now uses Gemini AI to offer personalized routes and conversational road updates, rolling out globally on Android and iOS.
AMD's GEAK framework improved DeepSeekV4 MLA kernel throughput by 2.10x and reduced TTFT by 3.71x on MI355 GPUs.