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The system processes 3.3 million healthcare tender notices to calculate supplier risk profiles, highlighting metrics like ‘ability to supply’ and ‘economic risk.’ Supplier risk trends are visualized, offering insights into large and small suppliers’ stability and reliability over time.

Vamstar’s system combines XML parsing and data joining from tender and award documents to create supplier-centric contract records. It then develops 21 risk indices, analyzing product, buyer, location, lot, and value metrics to assess supplier reliability and economic risks.

How are you, hacker? 🪐 What’s happening in tech today, December 25, 2024? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, NASA Launched The James Webb Space Telescope in 2021, Gorbachev Resignd and Ukraine left the Soviet Union in 1855 AD, Huygens Probe Landed on Titan's...

Explore how Euler v2 revolutionizes DeFi lending with modular architecture, ERC-4626 vaults, and permissionless customization—enabling tailored lending markets, seamless interoperability, and efficient value capture for diverse assets and users.

Vamstar’s lot parsing system uses rules and dictionaries to extract structured data, including lot references, item names, forms, and measurements, from tender sentences and tables.

Rootstock (RSK) was founded in 2015 as the first Bitcoin sidechain. It is an L2 solution that leverages the Ethereum Smart Contract Capabilities to bring the power of decentralized applications (dApps) to Bitcoin. By leveraging Bitcoin's robust security through merged mining, RSK enables developers and users to interact with decentralized finance (DeFi), NFTs, and more.

On October 4, users of Coinbase, one of the world’s largest crypto exchanges, received notifications about potential restrictions on stablecoins that fail to comply with the European Union’s Markets in Crypto-Assets (MiCA) regulations.

The company did not make a serious stab at sports until 2023 with the airing of the Netflix Cup, a novelty golf event.

Mastering React design patterns is a key step toward becoming a senior web developer. These 11 essential patterns set a benchmark for code quality standards. Improve scalability, write cleaner code, and take your React skills to the next level. Read to elevate your development game! 🚀

ClassBD enhances the performance of deep learning classifiers like ResNet, MobileNetV3, and Transformer for fault diagnosis, improving F1 scores by over 10% in noisy conditions.

ClassBD achieves the highest F1 score in fault diagnosis across various noise types, outperforming other methods by up to 40%, particularly in real-world noise scenarios.

This study compares multiple blind deconvolution (BD) methods for fault diagnosis, showing that the ClassBD method outperforms others in extracting fault features and handling noise.

How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. RootstockCollective In-Depth: Empowering Bitcoin Builders By @rootstock_io [ 7 Min read ] Empowering Bitcoin builders with ...

The US has declared AGI as a more pressing inititative than the atomic bomb was. Here's why they are right. Read this article for a complete breakdown of AGI, ASI, and the consequences for humanity.

ReST API design isn't just CRUD over HTTP. Crafting meaningful dialogues starts with understanding user intent and business goals. For example, replacing a simple DELETE with a POST to a "CancelledOrders" endpoint can capture cancellation reasons, aiding decision-making and improving user experience.

A novel DeFi protocol integrates Double-Authentication-Preventing Signatures to enable faster, collateral-free cross-chain options, safeguarding participants with economic incentives and robust misbehavior countermeasures.

Lottie was designed as a tool to convert `Adobe After Effects` animations into a format compatible with specific platforms. Lottie has evolved into an independent specification that is no longer bound by the specification of ` adobe after effects' Lotties can be used to create interactive animations with infinite scalability.

Vamstar applies machine learning to identify lot references and item information in tender documents, handling both unstructured text and tables for classification.

Vamstar filters tender documents by selecting relevant pages and tables using machine learning techniques, identifying lot references and items for further analysis.

You can create sophisticated AI assistants that seamlessly handle everything from reversing strings to querying internal databases.

A tech lead will make architectural and design decisions for the entire team whilst also helping guide team members in their technical choices.

Vamstar uses tools like Apache Tika, Tesseract, and PDFPlumber to convert Word, Excel, and PDF files into a standardized JSON format (VUD), extracting key structured data like paragraphs and tables.

The time it takes to learn SQL can really vary depending on your background, the time you get to spend learning and your aptitude towards this type of task.