Data Engineering
How Imperial College London is accelerating dementia research with a modern data platform
Imagine being unable to tell your doctor whether you're in pain or running a fever...
Data Engineering
Imagine being unable to tell your doctor whether you're in pain or running a fever...
We're open-sourcing nexir-mvcc-core, the transactional MVCC engine that powers the Nexir database. The project focuses exclusively on concurrency control and version management, keeping storage, networking, consensus, and query execution outside the MVCC layer. It provides: Timestamp-ordered MVCC reads and writes Intent-based transactions (prewrite / commit / abort) Atomic multi-key batch transactions Guarded (CAS-style) writes Incremental MVCC garbage collection A backend abstraction that allo
Six years ago i was a finance admin. Nobody asked me to code anything, but i was spending an inordinate amount of time per week manually renaming thousands of letters relating to properties the company owned to a rigorous standard. It was so unbelievably mind-numbing that i decided it had to change. The office had a very creaky, very error prone VBA email sender. I learned VBA to fix it, got hooked on the feeling of fixing it, then went looking for ways to solve my post problem. Regex was great
Rust
Infrastructure and DevOps
Today, the UK government launched the Cyber Resilience Pledge: a voluntary framework inviting organizations to commit to foundational cybersecurity governance, board-level accountability, and comprehensive cybersecurity coverage across supply chains. Cloudflare is proud to join the pledge’s founding cohort of signatories and continue our long-standing work with the Department of Science, Innovation and Technology (DSIT), National Cyber Security Centre, and others to shape a more secure, future
Machine Learning and AI
Infrastructure and DevOps
This post is co-written by Nishanth Charlakola from S&P Global. Organizations have a requirement to build high availability and disaster recovery (HA/DR) solutions for their complex SQL Server infrastructure to maintain data availability and integrity. With the rapid pace of cloud adoption, businesses across different industries have realized the value of a successful proof of concept (POC) for any technical project that migrates existing environments to the cloud. For companies of any size, it
Databases
The backup node and DR server don’t need to share SSH keys. Here’s how pgBackRest’s native TLS transport provides certificate-authenticated restores and strict security isolation, making it the cleaner choice for isolated or large-scale recovery environments.SSH Gets the Job Done Securely. TLS Can Help at Scale.If you’ve read the pgBackRest DR guide on this blog, you already know the standard setup: two servers, passwordless SSH, pgBackRest pulling backups across the wire. It works relia
Graphics
Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on the critical path for reasoning, response time and learning. CPUs are the processor which executes the work the AI model commands: the tool calling, code execution, data processing, KV-cache and result analysis. For agents in AI factories, speed matters. The faster the CPU can run the tool, the faster the agent can perform the tas
Graphics
Boeing's PDP-7/340 Most of my career has been involved in various ways with computer graphics. Below the fold I recount the story of how I got started in the field just as it was getting started. To give you some idea of just how early my introduction was the Mother of all Demos had been the year before. The displays I got to work with drew lines in monochrome, not rasters in color. You created the image by writing a loop of instructions in the "display processor" instruction set. These told it
Android
Machine Learning and AI
null Continue reading How AI Assistants Improve Remote Team Communication for Developers on SitePoint.
How is it done? I'm using Bevy on the client side, while the server is fully custom and written from scratch in Rust using Tokio, Axum, and SQLx. Things like networking, area of interest, spatial queries, replication, and other systems were written by me. I'm using WebSockets as the transport layer. I previously used WebTransport, but some players had problems connecting, so I switched back to WebSockets. The whole game was rewritten by hand, with some architectural improvements along the way. M
Algorithms
Developer Tools
Building an MCP client in Python is a great way to test MCP servers directly from your terminal. In this video course, you’ll build a minimal MCP client for the command line. It can connect to an MCP server through the standard input/output (stdio) transport, list the server’s capabilities, and interact with the server’s tools, prompts, and resources directly and deterministically. By the end of this course, you’ll understand that: You can build an MCP client app for the command line us
Hi r/rust! I've been building an MMO authoring IDE in egui and needed a real design system for it — so I built one, and today I'm open-sourcing it. What it is: the shadcn/ui design language (semantic tokens, zinc aesthetic, 4px scale) reimplemented natively for egui. Not a web port 60+ components (atoms → cells → molecules → organisms, plus a node-editor graph layer), all token-first. The part I care most about: two governance tests run with cargo test and in CI: - no_raw_values — a l
It's the weirdest thing. I needed to do something using macOS yesterday and the whole time I just wanted to get back to my Linux desktop. This isn't the first time I felt this way, but it happened sooner and the feeling was stronger this time. ✍️ Reply by email
Security and Cryptography
Machine Learning and AI
Computational Biology
Just one exposure to cocaine produces changes to the brains of mice that persist for at least two weeks, and perhaps longer, according to research that will be presented at the Federation of European Neuroscience Societies (FENS) Forum 2026 on Tuesday. The results suggest that cocaine, a popular drug used by an estimated 25 million people around the world, may rewire the genomes inside cells of the brain’s reward system, called dopaminergic neurons. The finding that could shed light on the me
Infrastructure and DevOps
Machine Learning and AI
The AI Boomerang: They Laid You Off to Save Money. They’re Paying More to Get You Back. Ford spent a year letting AI read its engineering requirements, and the cars kept coming off the line with defects nobody caught in time. So in the spring of 2026 it did the unglamorous thing. It called 350 veteran engineers back to their desks. Not fresh graduates. The gray-haired ones who knew, from decades of scar tissue, where a design goes wrong before any software flags it. Ford’s own VP of vehicle
Databases
Science
Machine Learning and AI
With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six months into the future. Returning to the foundational elements of AI architecture—the structural framework required for deploying and managing reliable, integrated AI systems at scale—allows technology leaders to m
Over the weekend, I released rssCloud Server 4.0 and wanted to discuss how I added WebSub support to the server. WebSub is an alternative protocol that has the same purpose as rssCloud: to notify subscribers of real-time updates. Back in 2020, Dave Jones had suggested I add support for WebSub because they were “close enough in their implementation” that it should be feasible. At the time, I didn’t really know much about WebSub. I had heard of PubSubHubbub and knew it was different fr
Security and Cryptography
Rust
Science
Databases
A step-by-step guide to using EF Core with Azure SQL Database - create the database in Azure Portal, connect and run migrations, add transient-fault resilience, and switch to passwordless Microsoft En
Systems Programming
Pass any .NET interview in 2026 with this complete step-by-step roadmap. Learn how to define your target level and find your gaps, master the full technical map (C#, async and memory, ASP.NET Core, EF
Like most embedded developers, we come from a C background. So what happens when you're looking to put together critical embedded code in Rust? submitted by /u/agnxdev [link] [comments]
Here’s a little thing I’ve been building over the past few weeks: bigdraw.party. It’s a big grid made up of little drawings that anyone can add to. No logins required (or drawing skills, for that matter):
Machine Learning and AI
null Continue reading From Survey Responses to Consumer Insights: Building a Medicaid Consumer Segmentation Pipeline with Python, K-Means, and Tableau on SitePoint.
Infrastructure and DevOps
The age of AI is upon us — and with it, a new age of telemetry and observability tools for MCP-driven stacks. MCP observability refers to the tools and practices used to monitor, trace, and analyze how AI agents interact with MCP servers, tools, and connected systems. The current slate of tools for MCP observability represents an interesting mixture of different modalities and approaches. Some solutions offer deep, tool-call-level tracing that gives you a highly granular view of every agent in
Systems Programming
Lately, I’ve been working on a paper where I optimize some continuous parameters of a flying robot in a hummingbird robot with MuJoCo MJX. One of the early problems I faced was that no learned design transferred to other integrators or timesteps than the one that it was trained on. This means that the gradient descent simply learned the quirks of the numerical scheme rather than any meaningful physics. When learning over physics simulators, it is probably best to have at least a basic understa
Go
Machine Learning and AI
arXiv:2607.03657v1 Announce Type: new Abstract: Gloss-free Sign Language Translation (SLT) translates sign language videos into spoken-language sentences without gloss annotations, avoiding costly labeling but requiring fine-grained modeling of hands, body, and facial cues. Existing methods often use single-modality or weakly fused features, limiting performance. We propose ViPo-MLLM, a framework that integrates spatio-temporal RGB and human pose features. Dedicated encoders model intra-modal d
Machine Learning and AI
arXiv:2607.03647v1 Announce Type: new Abstract: Large vision language models (VLMs) report strong accuracy on medical question-answering, yet it remains unclear whether they reason from visual evidence or exploit textual shortcuts. We introduce a counterfactual evaluation framework that decouples visual and textual contributions by substituting input images with controlled surrogates blank, pixel-shuffled, image-absent, and CLIP-retrieved hard negatives and derive a suite of grounding metrics i
Blockchain
arXiv:2607.03646v1 Announce Type: new Abstract: Bitcoin (BTC) wealth distribution is often studied with macro indicators like wallet balances, prices, network activity, fees, and hashrate. This letter proposes a "Crypto-Microeconomic Observability Framework" to examine micro-level Bitcoin wealth disparities across five labeled agent classes: Service, Abuse, Malware, Individuals, and Benign. Using descriptive, inequality, and longitudinal concentration metrics, we show that Bitcoin wealth is hig
Databases
arXiv:2607.03659v1 Announce Type: new Abstract: Relational databases (RDBs) are the primary data infrastructure in many enterprises, yet recent deep learning methods designed for RDBs have been evaluated under inconsistent experimental protocols, making fair comparison difficult. We present one of the first systematic benchmarking studies of recently released deep learning methods for RDBs, evaluating them across five relational databases, with one classification and one regression task for eac
Machine Learning and AI
arXiv:2607.03661v1 Announce Type: new Abstract: Point cloud-based understanding has become an important enabler for facility operation and maintenance involving indoor building components. However, existing methods output only discrete labels without explaining component functions or natural language interactions. This paper proposes Building-MLLM, a point cloud-centered multimodal large language model (MLLM) for indoor components, which models point clouds and instructions to generate response
Science
A few weeks ago, I shared Nevi here for the first time. It’s a terminal editor I’m building in Rust for people who want Vim/Neovim muscle memory, but with modern editor features like LSP, tree-sitter highlighting, fuzzy finding, themes, and project search built in by default. I just released v0.2.0, which is the first version I feel more comfortable pointing people to. What’s new since the first post: - Rendering is noticeably snappier. Nevi now repaints only the parts of the screen that c
Machine Learning and AI
Machine Learning and AI
Quantum Computing
A few months ago, I was reviewing the output of an AI agent my team had built to verify documents for an organization’s back-office workflow. The agent read a bill, extracted line items, and produced a recommended total. It was fluent, well-organized, and persuasive. It was also wrong: it had added the numbers incorrectly and stated the sum with complete confidence. No flag, no hedge, no error. I have spent most of my career in platform security, where the first instinct you develop is a ki
Machine Learning and AI
Machine Learning and AI
Machine Learning and AI
Learn how real-time patient engagement infrastructure powers secure messaging at scale when reminders, portals, and front desks can't keep up.