Most machine learning projects never reach production. Of those that do, many are quietly shut down within months. This article examines the most common reasons ML deployments fail and what engineering teams can do to prevent it.
Sound detection, also known as acoustic event detection, is a powerful technique that uses machine learning and AI to identify specific types of sounds within audio streams. From detecting alarms and gunshots to identifying engine sounds in traffic footage, sound detection applications are increasingly common in smart cities, surveillance, and safety systems.
Django is a powerful and flexible web framework that enables developers to build robust and scalable web applications. However, one of its limitations lies in content editing and publishing. By default, Django websites require technical expertise to modify content, update menus, or adjust page structures. This can make content management cumbersome for non-technical users.
AI workflows are becoming the backbone of modern software products. This guide explains what they are, how they differ from AI agents, and walks through a practical example of building an AI-powered workflow using FastAPI and Docker.
In the dynamic world of sports, data-driven decision-making is reshaping how teams, players, and organizations approach the game. The intersection of artificial intelligence (AI) and machine learning (ML) with sports analytics offers unparalleled opportunities for innovation. For founders with a passion for sports and technology, developing a minimum viable product (MVP) in sports analytics is a powerful way to enter this transformative field. In this blog, we explore the key steps, use cases, and technologies that can help you bring your vision to life.
In modern software development, ensuring that applications run efficiently and remain scalable is crucial. Memory management is one of the most significant factors in performance, especially in long-running applications. A memory leak, if left undetected, can lead to performance degradation, crashes, and user dissatisfaction. Whether you’re working on a large-scale backend service or a complex frontend application, memory leaks can be a common and costly issue.
Having access to the right information at the right time can make a massive difference for your business. But how can you collect and process data efficiently to stay ahead of your competition? Web scraping could be the answer – a powerful tool to collect large amount of data which can then be used to improve decision-making and optimize business strategies.
Systems like ChatGPT and other large language models are a helpful tool for AI-powered content creation. Examples are creation of articles, opinions, news, reviews or product description. In this article I cover how ChatGPT and similar AI models can be integrated into a Django app for AI writing and editing.
WebRTC is a popular choice for creating real-time communication and streaming applications. Especially in recent years with an increase in remote collaboration, voice and video call functionality is becoming an increasingly important aspect of web and mobile apps. This article provides an overview of applications and functionality that can be realised with WebRTC as well as looking at possible alternatives. We also want to provide some guideline on how to get started with WebRTC development and how to outsource development to experienced WebRTC developers.
Pretrained keypoint detection models are built for human pose estimation and rarely generalise to custom objects. This guide walks through training your own keypoint detector on a custom dataset using PyTorch, covering data acquisition, annotation, model configuration, training, and inference.