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Practices shifted from individuals buried in coffins to reusing sites for later mummy interments.

Sometimes you have GPS coordinates like: 40.7128, -74.0060 But coordinates alone are not very useful to most users. They usually want to know something much simpler: What place is this? The process of converting latitude and longitude into a human-readable address is called reverse geocoding . In this article, we'll build a simple reverse geocoding example with JavaScript. What Is Reverse Geocoding? Normal geocoding converts an address into coordinates: New York, NY ↓ 40.7128, -74.0060 Reverse geocoding does the opposite: 40.7128, -74.0060 ↓ New York, NY, United States This is useful for location tools, GPS applications, travel websites, delivery systems, photo location tools, and map interfaces. Reverse Geocoding with JavaScript For a simple example, we can use the OpenStreetMap Nominatim reverse geocoding endpoint. async function reverseGeocode ( lat , lon ) { const url = `https://nominatim.openstreetmap.org/reverse` + `?lat= ${ lat } &lon= ${ lon } &format=jsonv2` ; const response = await fetch ( url ); if ( ! response . ok ) { throw new Error ( " Reverse geocoding failed " ); } const data = await response . json (); return data ; } reverseGeocode ( 40.7128 , - 74.0060 ) . then ( data => { console . log ( data . display_name ); }) . catch ( error => { console . error ( error ); }); The returned data usually contains a readable location name together with structured address information. Display the Address on a Page We can turn the example into a small browser tool. <input id= "lat" placeholder= "Latitude" > <input id= "lon" placeholder= "Longitude" > <button onclick= "findAddress()" > Find Address </button> <p id= "result" ></p> <script> async function findAddress () { const lat = document . getElementById ( " lat " ). value ; const lon = document . getElementById ( " lon " ). value ; const result = document . getElementById ( " result " ); try { const url = `https://nominatim.openstreetmap.org/reverse` + `?lat= ${ lat } &lon= ${ lon } &format=jsonv2` ; const res

What Is Software Testing? 🧪 Software testing is the process of checking software to make sure it works correctly and does what it is supposed to do. For example, when we use a login page, we can test: Correct username and password Wrong password Empty username Empty password Forgot password option The goal is to find bugs and problems before the software is used by customers. Why Is Testing Important? Testing helps developers and companies: Find bugs Improve software quality Provide a better user experience Prevent problems after release Even a small bug can sometimes cause a big problem, so testing is an important part of software development. Manual Testing In manual testing, a tester checks the application manually without using automation scripts. For example, a tester can open a website, enter different inputs, click buttons, and check whether the expected result appears. Automation Testing In automation testing, we use tools and programming to test software automatically. Some popular tools are: Selenium Playwright Cypress Automation is useful when the same tests need to be performed many times. Conclusion Software testing is an important part of creating reliable software. If you are a beginner, you can start with manual testing , then learn SQL, API testing, and automation testing .

The bug ticket said "carousel feels broken on trackpad." It took me forty minutes to find the actual...

“We're not necessarily building in a dogmatic fashion towards full autonomy.”

The company wants users to be able to watch and listen to conversations.

Spotify launches a new feature that gives users a chance to explain the stories and reasoning behind their favorite music. Editors will be using the feature, too, on top playlists like RapCaviar and others.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Flock, the police-tech giant known for its network of some 120,000 automatic license plate readers around the US, announced some changes to its platform last Thursday. The updates are meant to prevent…

Higgsfield, founded by former Snap exec Alex Mashrabov, lets users create AI images and videos.

Reddit is beginning to test video and audio versions of popular posts, allowing users to watch or listen to Reddit stories instead of just reading them.

Treat an SMS timeout as an unknown outcome, not a failed send: accept each password-reset event once, persist its expiry and idempotency key before dispatch, and retry only through a worker that can reconcile the original attempt. For a short-lived e-commerce reset token, compliance evidence is the deciding constraint. The system must be able to show what it accepted, what it attempted, when it stopped, and why, without storing the token or message body in an audit log. This changes the shape of the endpoint. A Node.js Express handler may receive the event, but it shouldn't hold the HTTP request open while an SMS provider decides the final delivery state. Return an accepted response after durable admission, then expose status from local state. The Go example below shows the same transport-independent contract because the hard part isn't an Express API call; it's controlling ownership of retries. One event, one logical notification. How should event notifications handle SMS timeout, retry, and duplicate sends? Use two identifiers with different jobs. event_id identifies the business action, such as one password-reset request. idempotency_key identifies the logical notification command. A unique constraint on the key makes two concurrent HTTP requests converge on one stored record; checking memory before an insert is not enough because two processes can pass that check together. A timeout leaves three possible realities: the provider never accepted the request, it accepted the request but the response was lost, or it accepted and sent the message before the caller stopped waiting. Retrying immediately as though the first case were certain is how customers receive two reset messages. Declaring success is no better. The durable record should therefore enter dispatch_unknown , keep the provider's attempt identifier when one exists, and move through reconciliation before another send can be authorized. Status polling serves a different purpose from retry. Polling reads th

The change comes a year after YouTube applied the same approach to counting views on Shorts videos.

SpaceXAI has introduced Grok Bot, a system of persistent AI agents that operate on dedicated cloud computers and can interact with websites, applications, inboxes, and other tools. By Daniel Dominguez

Nvidia's investment in SoftBank's data center developer will guarantee its chips power an OpenAI data center.

If you have generated a pure tone in code and played it back, you may have noticed a small click at the start, the end, or both. The tone itself is clean, but the edges are not. That click is not a bug in your sine wave. It is a real and well understood artifact, and the fix is a technique you will reuse in every sound you ever synthesize: an envelope. This piece builds directly on generating a basic tone from scratch . We take a tone that clicks, look at the actual sample values to see why, and apply an envelope to smooth it. Everything is plain C++ with no libraries, and every number here is captured from a real run of the code. Where the click comes from A tone is a list of samples tracing a sine wave. A speaker turns those samples into sound by physically moving: the sample value sets the position of the speaker cone at each instant, where 0 is its resting position and larger values push it further forward or pull it back. Playing the tone moves the cone in and out 44,100 times a second to recreate the wave. When playback starts, the cone is at rest, at position 0. But the first sample of the tone is usually not 0. It is wherever the wave happens to be at that instant, and if that value is far from zero, the cone has to move from rest to that position in a single sample step, about 22 microseconds at this sample rate. That near instant movement is the click. A cone moving gradually pushes the air smoothly and produces a smooth sound. A cone forced to a distant position in one sample makes a sharp, abrupt movement of the air, which your ear hears as a click or pop. You can see it directly in the numbers. Here are the first six samples of a plain 440 Hz tone at half amplitude: n=0 raw=0 n=1 raw=1026 n=2 raw=2048 n=3 raw=3063 n=4 raw=4065 n=5 raw=5051 The wave leaves zero and climbs fast. Between the silence before playback and sample 1, the signal jumps by 1026 in one step. The same thing happens at the end: if the tone stops while the wave is partway through a cy

Par Jacques Gariépy • Guide technique, retour d'expérience, dépannage Windows pas-à-pas et utilisation Web & CLI. Table des Matières Introduction & Architecture Globale Pourquoi ce Setup ? (RTX 3090 24 Go + UD-Q4_K_XL) Comment Obtenir & Générer vos Clés d'Accès Dépannage & Installation d'Unsloth Studio : Le Bug SSLKEYLOGFILE Installation & Compilation de DeepSeek Harness Démarrage du Serveur Local Haute Performance (llama.cpp CUDA 13) Configuration Automatique & Fichier .env Utilisation : Interface Web & Mode CLI (Style Claude Code) Résolution des Pièges & Erreurs Courantes sous Windows Benchmarks Réels sur RTX 3090 Résumé des Commandes & Scripts Clés 1. Introduction & Architecture Globale Faire tourner un agent autonome d'ingénierie logicielle directement sur sa machine locale (100% privé, sans frais d'API et à latence minimale) est devenu une réalité grâce à la convergence de trois briques technologiques de pointe : DeepSeek Harness ( dsh ) : Le framework open-source d'agents de DeepSeek conçu pour orchestrer des workflows complexes de développement logiciel (gestion de sessions, modes Plan/Exécution, sandbox système, sous-agents, exécution de terminaux et édition de code). Unsloth Engine ( llama.cpp CUDA 13) : Le moteur d'inférence C++/CUDA ultra-optimisé intégrant FlashAttention-2 et la quantisation dynamique du cache KV. Qwen 3.8-27B en Quantisation Dynamique ( UD-Q4_K_XL ) : Les modèles de code open-source les plus performants, optimisés par Unsloth pour offrir une précision équivalente au 5-bit avec l'empreinte mémoire d'un 4-bit. Diagramme d'Architecture ┌──────────────────────────────────────────────────────────────────────────────┐ │ INTERFACES UTILISATEUR │ ├──────────────────────────────────────┬───────────────────────────────────────┤ │ Interface Web (Navigateur) │ Interface Console (CLI) │ │ http://127.0.0.1:3080 │ Style Claude Code │ └──────────────────┬───────────────────┴───────────────────┬───────────────────┘ │ │ │ (WebSocket / HTTP) │ (Console I/

Filing comes after Elon Musk announced exclusive arrangement to kit out its data centers.

Dozens of states accuse the company of violating the Children's Online Privacy Protection Act.

Grab is using AI agents to automate analytics workflows, cutting mechanical analyst work from 44% in February to 30% in June. Its approach combines agent autonomy, certified data, context management and human oversight, with self service analytics increasingly handling metric, data and SQL requests without analyst intervention. By Leela Kumili

By the end of this page you can pick the right chart in about five seconds, by asking one question: what comparison must the reader make? The four possible answers each map to one chart, and you will also know the two miscasts that cause most bad charts, the axis rules that keep bars honest, and the escape hatch for when one chart holds too much. It is about twenty minutes. Here is what to actually do with it today. Open the last chart you made. Say out loud what the reader is supposed to compare in it. If the chart type does not match that comparison in the table below, remake it. It is usually a two-minute fix. The short version: comparison across categories takes a bar. Change over time takes a line. Relationship between two measures takes a scatter. Part of a whole takes a bar too, once you pass a few slices. One picture carries the fork, so it comes first. The original carries a diagram here. In words: A decision fork. On the left, a single rounded node contains the question: compare what? Four lines branch from it to four small chart pictures on the right, stacked vertically. The first branch, labelled categories, leads to a miniature bar chart with four vertical bars of different heights. The second branch, labelled time, leads to a miniature line chart with a single rising line over an axis. The third branch, labelled relationship, leads to a miniature scatter plot of dots drifting upward to the right. The fourth branch, labelled parts, leads to a miniature horizontal stacked bar divided into segments, drawn next to a small crossed-out pie, meaning that for part-of-whole comparisons a bar is preferred over a pie. The picture says that the single question of what the reader must compare selects one of four chart types. Every number on this page is computed. The example tables are shown in full, and every total, percentage, and correlation was verified by running the arithmetic in Python before it went on the page. 1. The one question, and the decision table B