As silicon processors reach their physical limits, AI is redefining computational scaling. Discover how parallelism, distributed AI, and new economic models are shaping the future of artificial intelligence.

Making videos with AI is easier than you might think. Whether you’re looking for a quick, cloud-based tool or a self-hosted option you can customize, there are plenty of options out there. From simple text-to-video tools like Pictory to advanced setups like Stable Diffusion, this guide breaks down the pros and cons, features, and pricing for each. Whether you’re experimenting or looking to level up your video content, there’s something here for you.

When it comes to 3D printing, the surface you print on plays a crucial role in determining the quality of your prints. Among the various types of print beds, textured print beds have gained popularity for their ability to deliver strong adhesion and aesthetically pleasing finishes. In this blog post, we’ll explore what textured print beds are, why they matter, how to use them, and how to maintain them for the best results. What Are Textured Print Beds? Textured print beds are build surfaces with a rough or uneven texture, typically made from materials like PEI (Polyetherimide), glass, or flexible…

Obsidian is a popular note-taking app that stands out for its focus on local storage, markdown-based editing, and a highly customizable interface. Here’s how it compares to other note-taking apps across various aspects: 1. Data Ownership & Privacy Obsidian: All notes are stored locally, meaning users have complete control over their data. Obsidian doesn’t sync data to the cloud unless users choose to set up their own sync solution or use Obsidian Sync (their optional, encrypted service). Evernote / OneNote: These are cloud-based by default, so while convenient, users are dependent on third-party servers for storing their notes. Notion: Highly…

Effector tilt is a common issue in delta 3D printers that can impact print quality, causing uneven layers and nozzle drag. This guide explains the causes of effector tilt, how to diagnose it through visual inspections and test prints, and offers step-by-step solutions for repair. By understanding these factors and implementing regular maintenance practices, you can ensure your delta printer remains accurate and produces high-quality prints.

A cold pull, also known as an atomic pull, is a crucial 3D printer maintenance technique used to clear blockages and residue from the hotend. This method involves pulling filament out at lower temperatures to effectively remove debris, ensuring consistent print quality without disassembling the nozzle. In this guide, we’ll walk you through when to use a cold pull, the tools needed, and a step-by-step approach to executing it properly for optimal results.

Network segmentation is a critical security strategy for small businesses, helping to isolate network traffic, protect sensitive data, and improve overall network performance. By dividing the network into smaller, controlled segments, businesses can reduce the risk of unauthorized access and contain potential breaches. This post dives into the benefits of network segmentation, offering practical tips on how to implement it effectively using VLANs, firewalls, and monitoring tools. Learn how to assess your network needs, plan segments, and avoid common mistakes to build a secure and efficient network infrastructure.

Securing remote work access is essential for protecting business operations and sensitive data in today’s digital landscape. This post explores how to implement a robust remote work security strategy using VPNs, Multi-Factor Authentication (MFA), and secure gateways. We cover the risks of unsecured remote access and provide a step-by-step guide on configuring VPNs, integrating MFA, and setting up secure gateways. Learn the best practices and tools to create a secure and efficient remote work environment, ensuring your business remains resilient and protected against cyber threats.

Traditional network security models are no longer enough to protect against modern threats, especially for tech enthusiasts managing their own homelabs. Zero Trust architecture offers a solution by focusing on continuous verification, limiting access, and monitoring network activity. In this blog post, we explore the core principles of Zero Trust and provide a detailed, step-by-step guide for implementing it in your homelab. From setting up identity management and network segmentation to using monitoring tools and enforcing least privilege access, we cover everything you need to build a secure, resilient homelab environment.

In today’s digital landscape, a firewall alone is not enough to protect your small business network from evolving threats. As more devices connect and remote work becomes the norm, building a secure perimeter requires a multi-layered approach. This blog post explores why traditional defenses fall short and offers a step-by-step guide to creating a resilient security framework. Learn how to implement zero trust architecture, network segmentation, and advanced monitoring tools to safeguard your business beyond the firewall.

When choosing between cloud-hosted and locally hosted AI, businesses face a crucial decision that impacts performance, privacy, and cost. Cloud-hosted AI offers flexibility, scalability, and access to cutting-edge models, but may come with privacy concerns and recurring costs. On the other hand, locally hosted AI provides greater control over data and lower latency, though it requires a higher initial investment and ongoing maintenance. Understanding the pros and cons of each option is essential for determining the best fit for your needs. Explore the benefits and trade-offs of each approach in our detailed comparison.

Choosing the right AI hardware can be challenging, especially when deciding between Google’s Coral TPU devices and NVIDIA’s powerful RTX 3080ti GPU. Coral TPUs excel in low-power, efficient inferencing ideal for IoT and edge AI applications, while the RTX 3080ti offers unmatched performance for deep learning training and large-scale AI workloads. This post breaks down the features, performance, and best use cases for each option, helping you select the right hardware for your AI projects.