Getting Started with MaTouch AI ESP32S3 2.8" TFT ST7789V
Getting started with the MaTouch AI ESP32S3 2.8" TFT ST7789V. Code examples for the TFT display, camera, microphone, SD Card and RGB LED.| Makerguides.com
Agentic AI in Practice: From Concept to Enterprise Impact Agentic AI is transforming automation from static responses to dynamic action. See how platforms like Microsoft Copilot, Azure AI Foundry, and Salesforce Agentforce are making intelligent agents enterprise-ready AI has entered a new stage. It’s no longer [...] The post Agentic AI in Practice: From Concept to Enterprise Impact appeared first on Smartbridge.| Smartbridge
Agentic AI for Collaboration in Life Science EHS Operations Smartbridge Use Case Collection Life Sciences / Healthcare Enable Environmental, Health & Safety (EHS) teams in life science firms to collaborate more efficiently, predict risks before they escalate, respond faster to [...] The post Use Case: Agentic AI for Collaboration in Life Science EHS Operations appeared first on Smartbridge.| Smartbridge
I coded my latest app entirely in Markdown and let GitHub Copilot compile it into Go. This resulted in cleaner specs, faster iteration, and no more context loss. ✨ The post Spec-driven development: Using Markdown as a programming language when building with AI appeared first on The GitHub Blog.| The GitHub Blog
Learn how to use GitHub Copilot agent mode to modernize legacy Java projects with guided upgrades, automated fixes, and cloud-ready migrations. The post A step-by-step guide to modernizing Java projects with GitHub Copilot agent mode appeared first on The GitHub Blog.| The GitHub Blog
Our commitment is to empower every developer and stay true to our north star by building an open, secure, and AI-powered platform that defines the future of software development. The post Gartner positions GitHub as a Leader in the 2025 Magic Quadrant for AI Code Assistants for the second year in a row appeared first on The GitHub Blog.| The GitHub Blog
The FireBeetle 2 ESP32-P4 is a development board designed around Espressif’s ESP32-P4 microcontroller. Unlike previous ESP32 series chips, the P4 is optimized as a high-performance … The post Getting Started with FireBeetle 2 ESP32-P4 board appeared first on Makerguides.com.| Makerguides.com
Getting started with the MaTouch AI ESP32S3 2.8" TFT ST7789V. Code examples for the TFT display, camera, microphone, SD Card and RGB LED.| Makerguides.com
This article is part of a series on the Sens-AI Framework—practical habits for learning and coding with AI. AI gives novice developers the ability to skip the slow, messy parts of learning. For experienced developers, that can mean getting to a working solution faster. Developers early in their learning path, however, face what I call […]| Radar
This is the first of a three-part series by Markus Eisele. Stay tuned for the follow-up posts. AI is everywhere right now. Every conference, keynote, and internal meeting has someone showing a prototype powered by a large language model. It looks impressive. You ask a question, and the system answers in natural language. But if […]| Radar
When I was eight years old, I watched a mountaineering documentary while waiting for the cricket match to start. I remember being incredibly frustrated watching these climbers inch their way up a massive rock face, stopping every few feet to hammer what looked like giant nails into the mountain. “Why don’t they just climb faster?” […]| Radar
The productivity gains from AI tools are undeniable. Development teams are shipping faster, marketing campaigns are launching quicker, and deliverables are more polished than ever. But if you’re a technology leader watching these efficiency improvements, you might want to ask yourself a harder question: Are we building a more capable organization, or are we unintentionally […]| Radar
We often say AIs “understand” code, but they don’t truly understand your problem or your codebase in the sense that humans understand things. They’re mimicking patterns from text and code they’ve seen before, either built into their model or provided by you, aiming to produce something that looks right and is a plausible answer. It’s […]| Radar
In this episode, Ben Lorica and AI engineer Faye Zhang talk about discoverability: how to use AI to build search and recommendation engines that actually find what you want. Listen in to learn how AI goes way beyond simple collaborative filtering—pulling in many different kinds of data and metadata, including images and voice, to get […]| Radar
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, just under a different name. The challenges we face when writing […]| Radar
Mapping Power, Concentration, and Usage in the Emerging AI Developer Ecosystem| O’Reilly Media
Explore how Azure AI Foundry multi-agent systems enable enterprises to build digital workforces that handle complex workflows.| Smartbridge
In early 2024, a striking deepfake fraud case in Hong Kong brought the vulnerabilities of AI-driven deception into sharp relief. A finance employee was duped during a video call by what appeared to be the CFO—but was, in fact, a sophisticated AI-generated deepfake. Convinced of the call’s authenticity, the employee made 15 transfers totaling over […]| Radar
What if uncertainty wasn’t something to simply endure but something to actively exploit? The convergence of Nassim Taleb’s antifragility principles with generative AI capabilities is creating a new paradigm for organizational design powered by generative AI—one where volatility becomes fuel for competitive advantage rather than a threat to be managed. The Antifragility Imperative Antifragility transcends […]| Radar
Anyone who’s used AI to generate code has seen it make mistakes. But the real danger isn’t the occasional wrong answer; it’s in what happens when those errors pile up across a codebase. Issues that seem small at first can compound quickly, making code harder to understand, maintain, and evolve. To really see that danger, […]| Radar
We can’t not talk about power these days. We’ve been talking about it ever since the Stargate project, with half a trillion dollars in data center investment, was floated early in the year. We’ve been talking about it ever since the now-classic “Stochastic Parrots” paper. And, as time goes on, it only becomes more of […]| Radar
I’ve been in a few recent conversations about whether to use Apache Beam on its own or run it with Google Dataflow. On the surface, it’s a tooling decision. But it also reflects a broader conversation about how teams build systems. Beam offers a consistent programming model for unifying batch and streaming logic. It doesn’t […]| Radar
Microsoft Copilot Governance Discover how Microsoft Copilot governance helps organizations balance innovation with security, compliance, and cost control. Learn the key pillars that keep AI adoption safe, effective, and scalable. Adopting Microsoft Copilot is not just about turning on AI features. It’s about making sure the [...] The post Microsoft Copilot Governance appeared first on Smartbridge.| Smartbridge
Uncover Valuable Insights with Microsoft Copilot for Executives Microsoft Copilot for Executives is reshaping how leaders access critical insights. Learn how this AI assistant turns data overload into actionable strategies leaders can trust. The responsibilities of leaders in an organization are vast. Each role depends on [...] The post Uncover Valuable Insights with Microsoft Copilot for Executives appeared first on Smartbridge.| Smartbridge
Microsoft Copilot Use Cases Across Industries Discover how Microsoft Copilot is transforming Energy and Oil & Gas, Life Sciences and Medical Devices, and Restaurants through real-world use cases that improve efficiency, decision-making, and customer experiences. Microsoft Copilot is quickly becoming a trusted tool for organizations looking [...] The post Microsoft Copilot Use Cases Across Industries appeared first on Smartbridge.| Smartbridge
We'll explain why a strong data foundation is critical to getting reliable, secure results from AI across your organization.| Smartbridge
The post How Machine Monitoring Solutions Revolutionize Your Industry? appeared first on IoT | AI | Embedded Product Development Company.| IoT | AI | Embedded Product Development Company
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
What the Computerization of Wall Street Can Teach Us About AI| O’Reilly Media
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
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
How to use the SenseCraft AI platform to deploy and run a Face Detection model on a XIAO ESP32-S3-Sense microcontroller| 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
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 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
