Voice control with XIAO-ESP32-S3-Sense and Edge Impulse
Build voice control app with XIAO-ESP32-S3-Sense and Edge Impulse. Switch LEDs via voice commands using a TinyML keyword spotting model.| Makerguides.com
The post How Machine Monitoring Solutions Revolutionize Your Industry? appeared first on IoT | AI | Embedded Product Development Company.| IoT | AI | Embedded Product Development Company
Learn how GitHub Copilot’s evolving models and infrastructure center developer choice and power agentic workflows. The post Under the hood: Exploring the AI models powering GitHub Copilot appeared first on The GitHub Blog.| The GitHub Blog
Learn how the Secret Protection engineering team collaborated with GitHub Copilot coding agent to expand validity check coverage. The post How we accelerated Secret Protection engineering with Copilot appeared first on The GitHub Blog.| The GitHub Blog
Explore how to use GitHub Copilot on github.com to automate tasks, assign agents, prototype ideas, and streamline your entire workflow — all without an IDE. The post How to use GitHub Copilot on github.com: A power user’s guide appeared first on The GitHub Blog.| The GitHub Blog
Learn Model Context Protocol by building a turn-based game server that shows how to extend GitHub Copilot with custom tools, resources, and prompts. The post Building your first MCP server: How to extend AI tools with custom capabilities appeared first on The GitHub Blog.| The GitHub Blog
Build voice control app with XIAO-ESP32-S3-Sense and Edge Impulse. Switch LEDs via voice commands using a TinyML keyword spotting model.| Makerguides.com
The following article comes from two blog posts by Drew Breunig: “How Long Contexts Fail” and “How to Fix Your Contexts.” Managing Your Context Is the Key to Successful Agents As frontier model context windows continue to grow,1 with many supporting up to 1 million tokens, I see many excited discussions about how long-context windows […]| Radar
MCP—the Model Context Protocol introduced by Anthropic in November 2024—is an open standard for connecting AI assistants to data sources and development environments. It’s built for a future where every AI assistant is wired directly into your environment, where the model knows what files you have open, what text is selected, what you just typed, […]| Radar
Choosing the right LLM has become a full-time job. New models appear almost daily, each offering different capabilities, prices, and quirks, from reasoning strengths to cost efficiency to code generation. This competition creates strong incentives for AI labs to carve out a niche and gives new startups room to emerge, resulting in a fragmented landscape […]| Radar
Matt Garman’s statement that firing junior developers because AI can do their work is the “dumbest thing I’ve ever heard” has almost achieved meme status. I’ve seen it quoted everywhere. We agree. It’s a point we’ve made many times over the past few years. If we eliminate junior developers, where will the seniors come from? […]| Radar
The following is Part 3 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Part 1 can be found here and Part 2 here. Context engineering is crucial, but it’s just one component of a larger stack needed to build full-fledged LLM applications—alongside things like control flow, model orchestration, tool integration, […]| Radar
Everyone is talking about agents: single agents and, increasingly, multi-agent systems. What kind of applications will we build with agents, and how will we build with them? How will agents communicate with each other effectively? Why do we need a protocol like A2A to specify how they communicate? Join Ben Lorica as he talks with […]| Radar
I remember once flying to a meeting in another country and working with a group of people to annotate a proposed standard. The convener projected a Word document on the screen and people called out proposed changes, which were then debated in the room before being adopted or adapted, added or subtracted. I kid you […]| Radar
As an acquisitions editor at O’Reilly, I spend considerable time tracking our authors’ digital footprints. Their social media posts, speaking engagements, and online thought leadership don’t just reflect expertise—they directly impact book sales and reveal promotional strategies worth replicating. Not surprisingly, some of our best-selling authors are social media mavens whose posting output is staggering. […]| Radar
Recent surveys point to a massive growth in AI-driven bots crawling the internet looking for APIs. While many of these have malicious intent, a growing number are well-meaning API consumers just trying to discover, consume, and benefit from existing APIs. And, increasingly, these API requests are coming from Model Context Protocol (MCP)-driven platforms designed to […]| Radar
We think we see the world as it is, but in fact we see it through a thick fog of received knowledge and ideas, some of which are right and some of which are wrong. Like maps, ideas and beliefs shape our experience of the world. The notion that AI is somehow unprecedented, that artificial […]| Radar
The following is Part 2 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Part 1 can be found here. Great context engineering strikes a balance—include everything the model truly needs but avoid irrelevant or excessive detail that could distract it (and drive up cost). As Andrej Karpathy described, context […]| Radar
As I was waiting to start a recent episode of Live with Tim O’Reilly, I was talking with attendees in the live chat. Someone asked, “Where do you get your up-to-date information about what’s going on in AI?” I thought about the various newsletters and publications I follow but quickly realized that the right answer […]| Radar
What the Computerization of Wall Street Can Teach Us About AI| O’Reilly Media
Generative AI in Oil & Gas for CAPEX Management Smartbridge Use Case Collection Energy / Oil & Gas Smartbridge’s solution delivers powerful features tailored specifically for Oil & Gas CAPEX allocation, management, and tracking. Implement this Use Case [...] The post Use Case: Generative AI in Oil & Gas for CAPEX Management appeared first on Smartbridge.| Smartbridge
Fast-Track Your Copilot Rollout with Smartbridge's Complete Adoption Success Kit Smartbridge, with partnership from Microsoft, has created an extensive Microsoft Copilot Adoption Success Kit to guide you through your AI journey. Rolling out Microsoft Copilot can be exciting, but it’s also a big change. The right [...] The post Fast-Track Your Copilot Rollout with Smartbridge’s Complete Adoption Success Kit appeared first on Smartbridge.| Smartbridge
Microsoft Copilot Readiness Assessment: How to Know if You’re Ready for AI Thinking about implementing Microsoft Copilot? This article walks you through what a Copilot readiness assessment entails, why it matters, and the key areas your organization should evaluate before moving forward. Microsoft Copilot is changing [...] The post Microsoft Copilot Readiness Assessment: How to Know if You’re Ready for AI appeared first on Smartbridge.| Smartbridge
AI/ML Case Study AI Candidate Screening Using Microsoft Fabric and Azure OpenAI Client Client is a fast-growing residential and commercial construction company serving customers across multiple states. Specializing in damage repair and reconstruction services, the client is known for rapid response and expert care. CLIENT PROFILE [...] The post AI Candidate Screening Using Microsoft Fabric and Azure OpenAI appeared first on Smartbridge.| Smartbridge
Agentic DevOps isn’t just a productivity boost. It’s a shift in how software projects are delivered. Projects that used to take weeks can now move at the pace of days.| Smartbridge
Learn how to integrate AI features with GitHub Models directly in GitHub Actions workflows.| The GitHub Blog
In this tutorial you will learn how to train an Object Detection Model with Edge Impulse for the ESP32-CAM. The data collection, data labelling and … The post Train an Object Detection Model with Edge Impulse for ESP32-CAM appeared first on Makerguides.com.| Makerguides.com
Edge AI to detect the number of persons in a room (occupancy) using a XIAO ESP32-S3-Sense and an ESP32 lite| Makerguides.com
Use agentic tools like GitHub Copilot agent mode and the Playwright MCP server to accelerate troubleshooting and debugging of UI issues.| The GitHub Blog
In this step-by-step tutorial, you’ll learn how to deploy and run a real-time face detection model on the XIAO ESP32-S3-Sense using the SenseCraft AI platform. … The post Face Detection with XIAO ESP32-S3-Sense and SenseCraft AI appeared first on Makerguides.com.| Makerguides.com
A Conversation with ChatGPT and Gemini About Job Losses from AI| O’Reilly Media
Explore how you can set Copilot coding agent up for success with custom instruction and Copilot setup steps.| The GitHub Blog
When it comes to merging code, developers will always make the final decision. But we’re rethinking how tools like GitHub Copilot can help.| The GitHub Blog
Chatbots Are More Than Just Their Models.| O’Reilly Media
Ensuring quality code suggestions from Copilot goes beyond the perfect prompt. Context is key to success when working with your AI pair programmer.| The GitHub Blog
0:00: Introduction to Raiza Martin, who cofounded Huxe and formerly led Google’s NotebookLM team. What made you think this was the time to trade the comforts of big tech for a garage startup?| O’Reilly Media
Developers are doing incredible things with AI. Tools like Copilot, ChatGPT, and Claude have rapidly become indispensable for developers, offering unprecedented speed and efficiency in tasks like writing code, debugging tricky behavior, generating tests, and exploring unfamiliar libraries and frameworks. When it works, it’s effective, and it feels incredibly satisfying.| O’Reilly Media
This is the second of four parts in this series. Part 1 can be found here.| O’Reilly Media
Have you tried the new coding agent in GitHub Copilot? Here’s how developers are using it to work more efficiently.| The GitHub Blog
Key themes and takeaways from Offshore Technology Conference 2025 on how digital transformation is redefining the energy industry.| Smartbridge
Can AI Do Revolutionary Science? And If It Can, What Does That Mean?| O’Reilly Media
Implement a web server on an ESP32-CAM module to capture and serve images and use the YOLO object detection system to classify objects.| Makerguides.com
Explore the Use cases of generative AI in e-commerce, from personalized recommendations and customer support to fraud detection. Learn trends and benefits!| citrusbugtechnolabs
The Limitations of Natural Language Prompts for Complex AI Interactions| O’Reilly Media
The Replacement of Organic Search with Advertising by Google and Amazon and What That Might Mean for the Future of AI| O’Reilly Media
Thoughts about the outcome of the NYT versus OpenAI copyright lawsuit| O’Reilly Media
Generative AI has been the biggest technology story of 2023. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA1 on their laptop. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. In enterprises, we’ve seen everything from wholesale adoption to policies that se...| O’Reilly Media
How to set up your own Ubuntu instance of “neural-style”, the deep neural network that makes fine art!| Reflections
