​[[{“value”:” Generative AI solutions like Amazon Q Business are transforming the way employees work. Organizations in every industry are embracing these tools to help their workforce extract valuable insights from increasingly fragmented data to accelerate decision-making processes. However, the adoption of generative AI tools hasn’t… Read More »Supercharge your organization’s productivity with the Amazon Q Business browser extension Abhinand Sukumar Artificial Intelligence

​[[{“value”:” OpenAI has released two open-weight models, gpt-oss-120b (117 billion parameters) and gpt-oss-20b (21 billion parameters), both built with a Mixture of Experts (MoE) design and a 128K context window. These models are the leading open source models, according to Artificial Analysis benchmarks, and excel… Read More »Build Agentic Workflows with OpenAI GPT OSS on Amazon SageMaker AI and Amazon Bedrock AgentCore Vivek Gangasani Artificial Intelligence

​[[{“value”:” A team of researchers from Meta Reality Labs and Carnegie Mellon University has introduced MapAnything, an end-to-end transformer architecture that directly regresses factored metric 3D scene geometry from images and optional sensor inputs. Released under Apache 2.0 with full training and benchmarking code, MapAnything… Read More »Meta AI Researchers Release MapAnything: An End-to-End Transformer Architecture that Directly Regresses Factored, Metric 3D Scene Geometry Michal Sutter Artificial Intelligence Category – MarkTechPost

​In machine learning, the difference between a high-performing model and one that struggles often comes down to small details. In machine learning, the difference between a high-performing model and one that struggles often comes down to small details.  Read More  

​[[{“value”:” In the rush to get the most from AI tools, prompt engineering—the practice of writing clear, structured inputs that guide an AI tool’s output—has taken center stage. But for software engineers, the skill isn’t new. We’ve been doing a version of it for decades,… Read More »Prompt Engineering Is Requirements Engineering Andrew Stellman AI & ML – Radar

​[[{“value”:” Your shopping agent auto-purchases a $499 Pro plan instead of the $49 Basic tier—who’s on the hook: the user, the agent’s developer, or the merchant? This trust gap is a primary blocker for agent-led checkout on today’s payment rails. Google’s Agent Payments Protocol (AP2)… Read More »Google AI Introduces Agent Payments Protocol (AP2): An Open Protocol for Interoperable AI Agent Checkout Across Merchants and Wallets Asif Razzaq Artificial Intelligence Category – MarkTechPost