Author: Admin

Published on: September 18, 2025As a developer who uses Swift regularly, [weak self] should be something that’s almost muscle memory to you. I’ve written about using [weak self] before in the context of when you should generally capture self weakly in your closures to avoid retain cycles. The bottom line of that post is that closures that aren’t @escaping will usually not need a [weak self] because the closures aren’t retained beyond the scope of the function you’re passing them to. In other words, closures that aren’t @escaping don’t usually cause memory leaks. I’m sure there are exceptions but generally…

Edge computing downtime in industrial IoT environments can be both inconvenient and costly. Systems at the edge require continuous operation to maintain business continuity. While AWS IoT Greengrass delivers powerful edge computing capabilities, achieving true enterprise-grade high availability requires additional orchestration. This post shows how to use Pacemaker, a cluster resource manager, to build resilient edge infrastructure with automated failover. In this walkthrough, you’ll learn to implement active/passive and active/active high availability patterns using Pacemaker with AWS IoT Greengrass, complete with automated failover, state replication, and monitoring integration. The high availability challenge for edge computing Traditional cloud applications benefit from…

Microplastics have been found in our food, water and even in the kitchen utensils we use to cook and store our food, so it’s no surprise that it’s been estimated that Americans consume between 39,000 and 52,000 microplastic particles on a yearly basis. As for how this is affecting our health, although more research is required, studies have connected microplastics to a weakened immune system, certain types of cancer and cell damage.Despite my awareness of microplastics, I’d put off searching through my own kitchen to find potential sources of microplastics. Once I finally did, these are the items I discovered and plan to…

The concept of targeted protein degradation (TPD) was proposed in 1999 [1]. Two years later, the first proteolysis-targeting chimeras (PROTAC) demonstrated selective synthetic molecule-mediated protein removal inside cells selectively [2]. Unlike occupancy-driven inhibitors, TPD eliminates “undruggable” proteins by directing the proteins of interest (POI) to cellular degradation machinery, including the ubiquitin-proteasome system (UPS) and the autophagy-lysosome pathway (Fig. 1A) [3], [4]. A typical TPD platform comprises a POI-binding ligand, an effector (e.g., E3 ligase) recruiter, and a chemical linker [5]. The induced proximity between POI and effector triggers efficient POI degradation [6].PROTACs, first entered clinical trials in 2019 (ARV-110/471) [7], rely…

There are many let’s encrypt automatic tools for azure but I also wanted to see if I could use certbot in wsl to generate a wildcard certificate for the azure Friday website and then upload the resulting certificates to azure app service. Azure app service ultimately needs a specific format called dot PFX that includes the full certificate path and all intermediates. Per the docs, App Service private certificates must meet the following requirements: Exported as a password-protected PFX file, encrypted using triple DES. Contains private key at least 2048 bits long Contains all intermediate certificates and the…

Jennings Anderson, a Software Engineer with Meta Platforms, and Amy Rose, the Chief Technology Officer at Overture Maps Foundation, speak with host Gregory M. Kapfhammer about the Overture Maps project, which creates reliable, easy-to-use, and interoperable open map data. After exploring the foundations of geospatial information systems, Gregory and his guests dive deep into the implementation of Overture Maps through features like the Global Entity Reference System (GERS). In addition to discussing the organizational structure of the Overture Maps Foundation and the need for a unified database of geospatial data, Jennings and Amy explain how to implement applications using data…

When it comes to price, the fact you can pick up the same machine I tested for $1,799 makes these Macs an absolute steal. Yes, I know that amount isn’t peanuts, it’s a lot of money – more than I can afford on the ever-shrinking pittance I make in journalism. But if you’re a professional user doing professional tasks that require this much horsepower, the price seems plenty attractive.  Given that the Mac consistently delivers significantly higher Geekbench test results than its PC brethren, Windows laptops with Snapdragon X Elite and Intel Core Ultra 7 200 processors can’t match these…

Press Release [MUNICH, Germany] – [November 11, 2025] – Total Telecom, the organiser of Europe’s leading digital economy conferences, is pleased to announce the full agenda for Connected Germany 2025, taking place on November 18th and 19th at the MOC – Event Center Messe München. The two-day event will unite over 1,500 industry executives, policymakers, and innovators to accelerate the adoption of the latest digital technologies, from fibre and 5G to AI. The conference is set to tackle Germany’s most pressing connectivity challenges, with a deep focus on public-private partnerships, accelerating FTTH deployment, and securing digital sovereignty. Tackling Germany’s largest…

We are thrilled to introduce keras3, the next version of the Keras R package. keras3 is a ground-up rebuild of {keras}, maintaining the beloved features of the original while refining and simplifying the API based on valuable insights gathered over the past few years. Keras provides a complete toolkit for building deep learning models in R—it’s never been easier to build, train, evaluate, and deploy deep learning models. Installation To install Keras 3: install.packages(“keras3”) library(keras3) install_keras() What’s new: Documentation Great documentation is essential, and we’ve worked hard to make sure that keras3 has excellent documentation, both now, and in the…

GPT 5.1 is here. OpenAI is calling it the next big step, and honestly, it feels like one. When GPT-5 came out, people were amazed by its power but not everyone was happy. They removed the o-series models that many users loved for complex reasoning tasks. That move didn’t sit well. Now with GPT-5.1, OpenAI seems to have listened. The update brings back that same deep-thinking ability, only smarter and faster. It’s quick with simple tasks, thoughtful with complex ones, and a lot more natural in how it responds. GPT-5.1 feels less like a tech upgrade and more like a…