Using NotebookLM to Tackle Tough Questions: Interview Smarter, Not HarderKDnuggets Turn one interview question into a complete learning experience with NotebookLM.
Turn one interview question into a complete learning experience with NotebookLM. Read More
Expected Value Analysis in AI Product ManagementTowards Data Science An introduction to key concepts and practical applications
The post Expected Value Analysis in AI Product Management appeared first on Towards Data Science.
An introduction to key concepts and practical applications
The post Expected Value Analysis in AI Product Management appeared first on Towards Data Science. Read More
Exclusive: Dubai’s Digital Government chief says speed trumps spending in AI efficiency race AI News
Exclusive: Dubai’s Digital Government chief says speed trumps spending in AI efficiency raceAI News When Dubai launched its State of AI Report in April 2025, revealing over 100 high-impact AI use cases, the emirate wasn’t just showcasing technological prowess—it was making a calculated bet that speed, not spending, would determine which cities win the global race for AI-powered governance. In an exclusive interview, Matar Al Hemeiri, Chief Executive of Digital Dubai
The post Exclusive: Dubai’s Digital Government chief says speed trumps spending in AI efficiency race appeared first on AI News.
When Dubai launched its State of AI Report in April 2025, revealing over 100 high-impact AI use cases, the emirate wasn’t just showcasing technological prowess—it was making a calculated bet that speed, not spending, would determine which cities win the global race for AI-powered governance. In an exclusive interview, Matar Al Hemeiri, Chief Executive of Digital Dubai
The post Exclusive: Dubai’s Digital Government chief says speed trumps spending in AI efficiency race appeared first on AI News. Read More
Transform your MCP architecture: Unite MCP servers through AgentCore Gateway Artificial Intelligence
Transform your MCP architecture: Unite MCP servers through AgentCore GatewayArtificial Intelligence Earlier this year, we introduced Amazon Bedrock AgentCore Gateway, a fully managed service that serves as a centralized MCP tool server, providing a unified interface where agents can discover, access, and invoke tools. Today, we’re extending support for existing MCP servers as a new target type in AgentCore Gateway. With this capability, you can group multiple task-specific MCP servers aligned to agent goals behind a single, manageable MCP gateway interface. This reduces the operational complexity of maintaining separate gateways, while providing the same centralized tool and authentication management that existed for REST APIs and AWS Lambda functions.
Earlier this year, we introduced Amazon Bedrock AgentCore Gateway, a fully managed service that serves as a centralized MCP tool server, providing a unified interface where agents can discover, access, and invoke tools. Today, we’re extending support for existing MCP servers as a new target type in AgentCore Gateway. With this capability, you can group multiple task-specific MCP servers aligned to agent goals behind a single, manageable MCP gateway interface. This reduces the operational complexity of maintaining separate gateways, while providing the same centralized tool and authentication management that existed for REST APIs and AWS Lambda functions. Read More
Free AI and Data Courses with 365 Data Science— 100% Unlimited Access until Nov 21KDnuggets Begin your AI and data journey for free at 365 Data Science.
Begin your AI and data journey for free at 365 Data Science. Read More
TDS Newsletter: The Theory and Practice of Using AI EffectivelyTowards Data Science When we encounter a new technology — say, LLM applications — some of us tend to jump right in, sleeves rolled up, impatient to start tinkering. Others prefer a more cautious approach: reading a few relevant research papers, or browsing through a bunch of blog posts, with the goal of understanding the context in which these tools
The post TDS Newsletter: The Theory and Practice of Using AI Effectively appeared first on Towards Data Science.
When we encounter a new technology — say, LLM applications — some of us tend to jump right in, sleeves rolled up, impatient to start tinkering. Others prefer a more cautious approach: reading a few relevant research papers, or browsing through a bunch of blog posts, with the goal of understanding the context in which these tools
The post TDS Newsletter: The Theory and Practice of Using AI Effectively appeared first on Towards Data Science. Read More
Charting the future of AI, from safer answers to faster thinkingMIT News – Machine learning MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth.
MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth. Read More
Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End AnalyticsMarkTechPost How do you turn a vague business style question over messy folders of CSV, JSON and text into reliable Python code without a human analyst in the loop? Google researchers introduce DS STAR (Data Science Agent via Iterative Planning and Verification), a multi agent framework that turns open ended data science questions into executable Python
The post Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics appeared first on MarkTechPost.
How do you turn a vague business style question over messy folders of CSV, JSON and text into reliable Python code without a human analyst in the loop? Google researchers introduce DS STAR (Data Science Agent via Iterative Planning and Verification), a multi agent framework that turns open ended data science questions into executable Python
The post Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics appeared first on MarkTechPost. Read More
Nvidia AI chip ban: Can tech giants navigate a geopolitical zero-sum game?AI News When Nvidia CEO Jensen Huang initially told the Financial Times that China would “win the AI race” before softening his stance, it crystallised a predicament that’s been years in the making. The world’s most valuable chipmaker now finds itself caught between two superpowers, each wielding the Nvidia AI chip ban as a weapon in a broader technological
The post Nvidia AI chip ban: Can tech giants navigate a geopolitical zero-sum game? appeared first on AI News.
When Nvidia CEO Jensen Huang initially told the Financial Times that China would “win the AI race” before softening his stance, it crystallised a predicament that’s been years in the making. The world’s most valuable chipmaker now finds itself caught between two superpowers, each wielding the Nvidia AI chip ban as a weapon in a broader technological
The post Nvidia AI chip ban: Can tech giants navigate a geopolitical zero-sum game? appeared first on AI News. Read More
Comparing the Top 6 Inference Runtimes for LLM Serving in 2025MarkTechPost Large language models are now limited less by training and more by how fast and cheaply we can serve tokens under real traffic. That comes down to three implementation details: how the runtime batches requests, how it overlaps prefill and decode, and how it stores and reuses the KV cache. Different engines make different tradeoffs
The post Comparing the Top 6 Inference Runtimes for LLM Serving in 2025 appeared first on MarkTechPost.
Large language models are now limited less by training and more by how fast and cheaply we can serve tokens under real traffic. That comes down to three implementation details: how the runtime batches requests, how it overlaps prefill and decode, and how it stores and reuses the KV cache. Different engines make different tradeoffs
The post Comparing the Top 6 Inference Runtimes for LLM Serving in 2025 appeared first on MarkTechPost. Read More
