Introduction to Microsoft Power AutomatePower Automate, formerly known as Microsoft Flow, is a cloud-based service offered by Microsoft to help users create and automate workflows across multiple applications and services. Its aim is to boost user productivity in business processes and automate repetitive manual tasks.Using Power Automate, you can design workflows that connect to over 300 services, such as SharePoint, Outlook, Excel, OneDrive, Dynamics 365, and third-party applications like Twitter, Dropbox, and Google Services. With these workflows, you can, for instance, automatically save email attachments to OneDrive or alert your team about specific tweets.It allows conditional logic (if...then...else statements), which makes it more than just a task automation tool, but also a potent business process automation platform. It can handle complex scenarios, not just single task automation.Power Automate offers pre-built templates for common tasks, reducing the technical barrier for non-programmers. However, it also provides robust tools for developers to create more complex automations.Overall, Power Automate is a powerful tool for improving efficiency, reducing errors and saving time by automating business tasks and processes.Document Automation Workflows in Power AutomateDocument automation workflows in Power Automate represent one of its most compelling features, enabling businesses to automate repetitive document management tasks, enhance efficiency, and reduce the possibility of human errors.At its core, Power Automate allows you to create and manage workflows involving documents, including generating, editing, sharing, and storing. This can involve Microsoft services like Word, Excel, and SharePoint, or third-party services like Google Docs, Adobe PDF, and Dropbox. This cross-platform functionality is a key strength, enabling diverse document workflows.For instance, an approval workflow could be created, automating the process of document approval. Here, Power Automate can detect when a new document is added to a SharePoint folder or a OneDrive directory. It can then automatically send an email to the appropriate person with a link to the document for review. Once the document is approved or rejected, the status can be updated, and notifications sent to relevant stakeholders.Another example could be a document generation and storage workflow. Data from Microsoft Forms or Dynamics 365 could be used to automatically generate documents in Word or Excel. The created document could then be converted into a PDF and stored in a specific SharePoint folder or sent via email.Document automation also extends to areas like data extraction and integration. Power Automate can connect with Nanonets, enabling users to extract specific data from a document, such as invoice or receipt details, and automatically update a record in Dynamics 365 or an Excel spreadsheet.Moreover, Power Automate’s flexibility also allows developers to handle more complex scenarios. Custom connectors can be created to interact with services not directly supported by Power Automate. Error handling and conditional logic can be implemented to account for different workflow outcomes.In conclusion, Power Automate's document automation workflows can transform time-consuming manual processes into efficient automated tasks, freeing employees to focus on more value-driven activities. Its versatility, simplicity, and deep integration with various services make it a vital tool for any organization seeking to streamline their document management processes.OCR and PDF Data Extraction in Power AutomateNanonets is a powerful tool which offers pretrained data extraction models that can extract useful data from documents. We support all common document types, and can easily train specialized models custom document types. Leveraging Nanonets API in Power Automate opens up possibilities for developing highly efficient automated workflows, particularly in document data extraction.To understand this, let's look at a common business scenario. Imagine a company receives a large volume of invoices daily. With Nanonets and Power Automate, you could automate the process of extracting the necessary data from these invoices and store it in a database or use it in another application like Dynamics 365.Here's a step-by-step exampleAn invoice document is received and uploaded to a SharePoint folder or received as an email attachment in Office 365 Mail.A Power Automate workflow triggers upon the addition of this new document. Using the "When a file is created" or "When a new email arrives" trigger, Power Automate can automatically detect the new invoice.The workflow then sends the document to the Nanonets API via a HTTP POST request. This could be done by using a Custom Connector or the built-in HTTP action in Power Automate.Nanonets processes the document with its machine learning model, specifically trained for invoice data extraction, and returns the extracted data in a structured format, like JSON.The Power Automate workflow receives this data and can then parse and use it as required. This could involve updating an Excel spreadsheet, creating a new item in a SharePoint list, or updating a record in Dynamics 365.In the Dynamics 365 context, Nanonets' ready-to-use integration with Dynamics 365 would make the process even more seamless. Let's explore another scenario to illustrate thisAn invoice document is uploaded into Dynamics 365 as an attachment to a specific record.A Power Automate workflow is triggered based on this action. The workflow then sends the invoice document to the Nanonets API for processing, taking advantage of the ready-to-use integration that Nanonets offers with D365.Once the data is returned from Nanonets, the workflow then parses the structured data and updates the relevant fields in the Dynamics 365 record. This could include details like the invoice number, date, total amount, etc.These workflows help to automate what can typically be a labor-intensive process, saving significant amounts of time and reducing the risk of human error. Moreover, they leverage the power of machine learning to accurately extract required data, even from complex or varying invoice formats.In addition to invoices, this process can be applied to a range of other document types - receipts, purchase orders, delivery notes, etc. Each document type would require a machine learning model trained for that specific document, which Nanonets is capable of providing.Nanonets' integration with Power Automate and Dynamics 365 opens up significant possibilities for businesses looking to automate their document data extraction workflows. These integrations make it easier for organizations to harness the power of machine learning in their everyday processes, leading to greater operational efficiency and accuracy.Here are a variety of examples showcasing how Nanonets can be utilized in Power Automate for different automated document data extraction workflowsExpense Reports Scan uploaded receipts in SharePoint, extract data with Nanonets, and automatically populate an Excel sheet for expense tracking.Contract Management Upload contracts to a specific OneDrive folder, extract key details like parties involved, dates, and clauses using Nanonets, and update a SharePoint list for contract management.Invoice Processing Send invoices received via email to Nanonets for data extraction, and use the returned data to create or update records in Dynamics 365 Finance.Order Fulfillment Extract data from purchase orders uploaded to a Teams channel using Nanonets, and trigger a Power Automate workflow to create a new order in Dynamics 365 Supply Chain Management.HR Onboarding When new employee documents are added to a SharePoint folder, extract key details like name, job title, and start date with Nanonets, and then create a new employee record in Dynamics 365 Human Resources.Customer Correspondence Extract key information from customer letters or emails using Nanonets, and automatically create or update a customer service case in Dynamics 365 Customer Service.Project Management When a new project proposal is added to a Teams channel, use Nanonets to extract key details like project title, proposed timeline, and budget, and create a new project record in Dynamics 365 Project Operations.Sales Lead Generation Extract data from business cards using Nanonets and use the returned data to create new leads in Dynamics 365 Sales.Insurance Claims When an insurance claim form is uploaded to a SharePoint folder, extract the claim details with Nanonets, and update a claim record in a custom-built Power App.Health Records When medical documents are uploaded to a secure OneDrive folder, extract patient data with Nanonets, and update the patient's record in a healthcare management application.How to set up Nanonets in Power AutomateSetting up Nanonets in Power Automate involves building a custom connector. Here is a step-by-step guide to creating a custom connector for the Nanonets API1. Get your API Key from NanonetsThe first step is to generate an API key from your Nanonets account. This key will be used to authenticate your requests to the Nanonets API. You can find instructions on how to get your API key here.2. Create a custom connector in Power AutomateNavigate to https//flow.microsoft.com and sign in to your account.From the left navigation bar, select "Data" and then "Custom connectors".Click "+ New custom connector" and choose "Create from blank".Give your connector a name and click "Continue".3. Set up the general detailsFor "Scheme", choose "HTTPS".In the "Host" field, enter the Nanonets API base URL (it should be something like "app.nanonets.com").Click "Security" in the navigation panel on the left.4. Set up the security details and connector actionsNote For this section, you can use the Nanonets API Documentation to configure the security and action details.Define the security details. You can use the api-key authentication method to authenticate using your API key.Create a New Action.Define and fill details of your Nanonets model prediction endpoint to create the action.6. Test the connectorClick "Test" in the navigation panel on the left.You may need to create a new connection. If so, click "+ New connection".Choose an action to test, fill in any required inputs, and click "Test operation".Once the custom connector is set up, you can use it in your Power Automate flows just like any other connector. You'll be able to choose the actions you defined for the connector and use the data returned from Nanonets in other actions within your workflow.Nanonets OCR for Automated Workflows in Power AutomateIn conclusion, Nanonets OCR is a powerful addition to Power Automate's arsenal of automation capabilities, providing opportunities to streamline and improve document data extraction processes in workflows. Its powerful machine learning algorithms are designed to decipher text from various document types accurately, offering a solution that goes beyond traditional OCR technology by learning from the data it processes and improving over time.With Power Automate's flexible and robust platform, incorporating Nanonets OCR into automated workflows becomes a relatively straightforward process. Power Automate's ability to create custom connectors allows integration with Nanonets API, opening up a multitude of use cases. Whether it's extracting information from invoices, contracts, purchase orders, medical records, or any other type of document, the combined capabilities of Power Automate and Nanonets OCR can handle it.One of the key strengths of this integration is its ability to significantly reduce manual data entry and associated errors. By automating the data extraction process, businesses can improve the accuracy of their data and free up employees' time to focus on more value-added tasks.Furthermore, Nanonets' ready-to-use integration with Microsoft Dynamics 365 enhances the ability to directly apply the extracted data into various business applications, providing an end-to-end solution for document data extraction workflows.In a business environment increasingly leaning towards automation and digital transformation, tools like Power Automate and Nanonets OCR are becoming essential. They not only provide automation capabilities but also harness the power of machine learning, resulting in smarter, more efficient, and error-free business processes.Power Automate's accessibility and Nanonets' powerful OCR functionality are a potent combination that can significantly impact businesses. As we continue to witness the digital transformation of various industries, the integration of these two platforms will undoubtedly play an influential role in shaping efficient, automated, and intelligent business workflows.

Numerical Linear Algebra for Programmers An Interactive Tutorial with GPU, CUDA, OpenCL, MKL, Java, and Clojure basically… * a book for programmers * interactive & dynamic * direct link from theory to implementation * incredible speed * Nvidia GPU (CUDA and cuBLAS) * AMD GPU (yes, OpenCL too!) * Intel & AMD CPU (MKL) * Clojure (magic!) * Java Virtual Machine (without Java boilerplate!) * complete source code * beautiful typesetting (see sample chapters below)

With Apple’s recent announcement that they are moving away from Intel X86 CPU’s to their own ARM CPU’s for future laptops and desktops I thought it would be a good time to take a look at the some differences that can affect systems programmers working in Rust.

Nowadays it’s rare to see a multiplex movie with so little affect. And arriving in the second week of January as one of the few dumping-ground action programmers we thankfully still get, the bluntly titled Plane can be––and this is not a backhanded compliment necessarily––described as a VOD action movie that somehow escaped to theaters. […]The post Plane Review Gerard Butler Pilots a Refreshingly Regressive Potboiler first appeared on The Film Stage.

The software industry loves young people, but old-timers serve an important purpose, too.

AI lets programmers control Barack Obama’s face and replicate the styles of painting greats. Now a desktop app called Runway lets you do the same

I’ve come to be somewhat known as a “math guy” in creative coding. It’s one of my impostor syndrome items because I’m really not any kind of expert in the field. I took Algebra and some Precalculus…

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When Jerry started their job as a junior developer, they couldn’t wait to get to work each morning. And each evening, even after their 10-hour workdays, they’d still feel energized. ...

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Coding is not just for engineers and computer programmers anymore the pace of technology and its growing ubiquity mean that even non-tech roles will require workers to have some degree of knowledge to do their jobs in the future. Today a company called Sololearn — which has built a popular m…

Heard back from this position and I’m wondering if I should move forward with this? I’m looking to transition into data science / AI in the technology industry (not currently in tech). From the job description, it seems this position isn’t actually working on the ai models but rather I would be rank

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India Business News The Gandhinagar resident is part of a growing tribe of highly skilled programmers who can scan codes to detect vulnerabilities. Nikhil Srivastava, an

The website created by a group of Polish programmers to help people from around the world establish a dialogue with their Russian counterparts..

In one of probably many dissections of CD Projekt Red’s missteps in making Cyberpunk 2077, Bloomberg’s Jason Schreier just published a piece investigating the game’s development. As the article explains, despite being announced in 2012, the company was still focused on The Witcher 3 and “full development” didn’t begin until 2016 when CD Projekt Red “hit the reset button.” Add in COVID-related restrictions during the last stretch of development, where programmers mostly played development builds of the game at home on PC, far away from testers on console who could see the game's issues.

There should only be one — and preferably only one — obvious way to do it”, says the Zen of Python. Yet there are areas where even seasoned programmers debate what the right or ...

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Most programmers I know started programming out of sheer curiosity and joy. Joy is what keeps…

![Figure][1] CREDIT IGOR KHODZINSKIY The recent world chess championship saw Magnus Carlsen defend his title against Fabiano Caruana. But it was not a contest between the two strongest chess players on the planet, only the strongest humans. Soon after I lost my rematch against IBM's Deep Blue in 1997, the short window of human-machine chess competition slammed shut forever. Unlike humans, machines keep getting faster, and today a smartphone chess app can be stronger than Deep Blue. But as we see with the AlphaZero system (see pages [1118][2] and [1140][3]), machine dominance has not ended the historical role of chess as a laboratory of cognition. ![Figure][1] CREDIT DEEPMIND TECHNOLOGIES LIMITED Much as the Drosophila melanogaster fruit fly became a model organism for geneticists, chess became a Drosophila of reasoning. In the late 19th century, Alfred Binet hoped that understanding why certain people excelled at chess would unlock secrets of human thought. Sixty years later, Alan Turing wondered if a chess-playing machine might illuminate, in the words of Norbert Wiener, “whether this sort of ability represents an essential difference between the potentialities of the machine and the mind.” Much as airplanes don't flap their wings like birds, machines don't generate chess moves like humans do. Early programs that attempted it were weak. Success came with the “minimax” algorithm and Moore's law, not with the ineffable human combination of pattern recognition and visualization. This prosaic formula dismayed the artificial intelligence (AI) crowd, who realized that profound computational insights were not required to produce a machine capable of defeating the world champion. But now the chess fruit fly is back under the microscope. Based on a generic game-playing algorithm, AlphaZero incorporates deep learning and other AI techniques like Monte Carlo tree search to play against itself to generate its own chess knowledge. Unlike top traditional programs like Stockfish and Fritz, which employ many preset evaluation functions as well as massive libraries of opening and endgame moves, AlphaZero starts out knowing only the rules of chess, with no embedded human strategies. In just a few hours, it plays more games against itself than have been recorded in human chess history. It teaches itself the best way to play, reevaluating such fundamental concepts as the relative values of the pieces. It quickly becomes strong enough to defeat the best chess-playing entities in the world, winning 28, drawing 72, and losing none in a victory over Stockfish. I admit that I was pleased to see that AlphaZero had a dynamic, open style like my own. The conventional wisdom was that machines would approach perfection with endless dry maneuvering, usually leading to drawn games. But in my observation, AlphaZero prioritizes piece activity over material, preferring positions that to my eye looked risky and aggressive. Programs usually reflect priorities and prejudices of programmers, but because AlphaZero programs itself, I would say that its style reflects the truth. This superior understanding allowed it to outclass the world's top traditional program despite calculating far fewer positions per second. It's the embodiment of the cliché, “work smarter, not harder.” AlphaZero shows us that machines can be the experts, not merely expert tools. Explainability is still an issue—it's not going to put chess coaches out of business just yet. But the knowledge it generates is information we can all learn from. Alpha-Zero is surpassing us in a profound and useful way, a model that may be duplicated on any other task or field where virtual knowledge can be generated. Machine learning systems aren't perfect, even at a closed system like chess. There will be cases where an AI will fail to detect exceptions to their rules. Therefore, we must work together, to combine our strengths. I know better than most people what it's like to compete against a machine. Instead of raging against them, it's better if we're all on the same side. [1] pendingyes [2] http//www.sciencemag.org/content/362/6419/1118 [3] http//www.sciencemag.org/content/362/6419/1140

Today, C may be a lingua franca among programmers. This is its (abridged) history.

AI pair programmers will certainly speed things up — but you still need to have chops to devise solutions and deliver high-quality code.

Within the field of software development, we are prone to gazing upon the future – new libraries, new tools. But from where did we come? The philosophical foundation of the field is largely absent from the contemporary zeitgeist, but our work is deeply rooted in the philosophical traditions of not only Logic, but Ontology, Identity, Ethics and so on. Daily, the programmer struggles with not only their implementation of logic but the ontological and identity questions of classifying and organizing their reality into a logical program. What is a User? What are its properties? What actions can be taken on it? “Oh the mundanity!” – cries the programmer. But in-deed, as we will explore here – you are doing God’s work! Because the work of programmers is not too dissimilar from that of philosophers throughout history, we can look to them for guidance on the larger questions of our own tradition. In this piece, we will focus mainly on the ancient Greeks and their metaphysical works. Guided by their knowledge, we can better incorporate Reason and Logic into our programs and strive to escape Plato’s Cave (https//en.wikipedia.org/wiki/Allegory_of_the_cave). Furthermore, because the results of our work is our reason manifested into reality, we must suffer under the greater burden of responsibility to aim towards the divine Reason. ????? [T]he spermatikos logos in each man provides a common, non-confessional basis in each man, whether as a natural or supernatural gift from God (or both), by which he is called to participate in God’s Reason or [?????], from which he obtains a dignity over the brute creation, and out of which he discovers and obtains normative judgments of right and wrong (https//lexchristianorum.blogspot.com/2010/03/st-justin-martyr-spermatikos-logos-and.html) The English word logic is rooted in the Ancient Greek ????? (Logos) – meaning “word, discourse or reason”. ????? is related to the Ancient Greek ???? (légo) – meaning “I say”, a cognate with the Latin legus or “law”. Going even further back, ????? derives from the PIE root *le?- which can have the meanings “I put in order, arrange, gather, I choose, count, reckon, I say, speak”. (https//en.wikipedia.org/wiki/Logos) The concept of the ????? has been studied and applied philosophically throughout history – going back to Heraclitus around 500 BC. Heraclitus described the ????? as the common Reason of the world and urged people to strive to know and follow it. “For this reason it is necessary to follow what is common. But although the ????? is common, most people live as if they had their own private understanding.” (Diels–Kranz, 22B2) With Aristotelian, Platonic and early Stoic thought, the ????? as universal and objective Reason and Logic was further considered and defined. ????? was seen by the Stoics as an active, material phenomenon driving nature and animating the universe. The ????? spe?µat???? (“logos spermatikos”) was, according to the Stoics, the principle, generative Reason acting in inanimate matter in the universe. Plutarch, a Platonist, wrote that the ????? was the “go-between” between God and humanity. The Stoics believed that humans each possess a part of the divine ?????. The ????? was also a fundamental philosophical foundation for early Christian thought (see John 11-3). The ????? is impossible to concisely summarize. But for the purpose of this piece, we can consider it the metaphysical (real but immaterial) universal Reason; an infinite source of Logic and Truth into which humans tap when they reason about the world. Imitation of the Divine In so far as the spirit is also a kind of ‘window on eternity’… it conveys to the soul a certain influx divinus… and the knowledge of a higher system of the world (Jung, Carl. Mysterium Coniunctionis) What is “imitation of the divine”? One could certainly begin by considering what the alternative would be. A historical current has existed in the philosophical tradition of humanity’s opportunity and responsibility to turn to and harness the divine ????? in their daily waking life. With language and thought we reason about the material and immaterial. As Rayside and Campbell declared in their defense of traditional logic in the field of Computer Science – “But if what is real and unchanging (the intelligible structure in things) is the measure of what we think about it (concept) and speak (word) about it, then it too is a work of reason not our reason, for our reason is the measured, but of Reason.” (Rayside, D, and G Campbell. Aristotle and Object-Oriented Programming Why Modern Students Need Traditional Logic. https//dl.acm.org/doi/pdf/10.1145/331795.331862.) Plato, in his theory of the tripartite soul, understood that the ideal human would not suffer passions (??µ?e?d??, literally “anger-kind”) or desires (?p???µ?t????) but be led by the ????? innate in the soul (????st????). When human reasoning is concordant with Reason, for a moment, Man transcends material reality and is assimilated with the divine (the ?????). “Hence, so many of the great thinkers who have gone before us posited that the natural way in which the human mind gets to God is in a mediated way — via things themselves, which express God to the extent that they can.” (Rayside, Campbell) God here is the representative of the ????? – humanity can achieve transcendental knowledge by consideration (in the deepest sense of the word) of the things around them. The Programmer Assimilated It is simply foolish to pretend that human reason is not concerned with meaning, or that programming is not an application of human reason (Rayside, Campbell) The programmer must begin by defining things – material or conceptual. “We are unable to reason or communicate effectively if we do not first make the effort to know what each thing is.” (Rayside, Campbell) By considering the ontological questions of the things in our world, in order to represent them accurately (and therefore ethically) in our programs, the programmer enters into the philosophical praxis. Next, the programmer adds layers of identity and logic on top of their ontological discovery, continuing in the praxis. But the programmer takes it a step further – the outcome of their investigation is not only their immaterial thought but, in executing the program, the manifestation of their philosophical endeavor into material reality. The program choreographs trillions of elementary charges through a crystalline maze, harnessing the virtually infinite charge of the Earth, incinerating the remains of starlight-fueled ancient beings in order to realize the reasoning of its programmer. Here the affair enters into the realm of Ethics. “The programmer is attempting to solve a practical problem by instructing a computer to act in a particular fashion. This requires moving from the indicative to the imperative from can or may to should. For a philosopher in the tradition, this move from the indicative to the imperative is the domain of moral science.” (Rayside, Campbell) Any actions taken by the program are the direct ethical responsibility of the programmer. Furthermore, the programmer, as the source of reason and will driving a program, manifesting it into existence, becomes in that instant the ????? spe?µat???? (“logos spermatikos”) incarnate. The programmer’s reason, tapped into the divine Reason (?????), is generated into existence in the Universe and commands reasonable actions of inanimate matter. Feeble Earthworm What sort of freak then is man? How novel, how monstrous, how chaotic, how paradoxical, how prodigious! Judge of all things, feeble earthworm, repository of truth, sink of doubt and error, glory and refuse of the universe! (Pascal, B. (1670). Pensées.) Pascal would be even more perplexed by the paradox of the programmer – in search of Logic and simultaneously materializing their logic; their “repository of truth” a hand emerging from the dirt reaching towards the ?????. Programmers are equals among the feeble earthworms crawling out of Plato’s cave. We enjoy no extraordinary access to Reason and yet bear a greater responsibility as commanders of this technical revolution in which we find ourselves. While the Greeks had an understanding of the weight of their work, their impact was restricted to words. The programmer’s work is a true hypostatization or materialization of the programmer’s reason. As programmers – as beings of Reason at the terminal of this grand system – we should most assuredly concern ourselves with embracing and modeling ourselves and our work after the divine and eternal ?????. The post Embracing ????? Programming as Imitation of the Divine appeared first on Simple Thread.

Your average software engineer is still in love with Python. Married, even. But not those at Google, Uber, Dropbox, Soundcloud, Slack, and Medium. The programmers at top corporations ...

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Stack Overflow's recent survey found that PHP programmers are "disproportionately underpaid" compared to other developers with the same experience.

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Whether it is revenue, customer experience, or operational efficiency, big data has allowed businesses to achieve unprecedented growth. However, companies need data engineers, technical data experts, and programmers to make sense of large volumes of unstructured data. Businesses need to hire professionals who can write codes to process and analyze data to get any actionable […]The post How No-Code Tools are Making Big Data Accessible to All appeared first on ReadWrite.

WebProNewsFunctionTrace Is a New Graphical Python ProfilerPython programmers have a new tool they can use to profile their code, with the open source FunctionTrace.FunctionTrace Is a New Graphical Python ProfilerStaff

To empower non-programmers, Confirm’s Ivan Guevara is working on a digital platform for smart manufacturing using low-code technology.Read more Giving teams the tech tools they need for the factories of the future

Miley Cyrus’ new single “Flowers” received an immensely enthusiastic showing of support from radio programmers. The song earns the most added honor at pop, hot adult contemporary, and rhythmic radio. Picked up by 174 Mediabase-monitored pop stations, “Flowers” convincingly tops this week’s add board. The recipient of 50 adds, Lady Gaga’s “Bloody Mary” ranks as […]The post Miley Cyrus’ “Flowers” Convincingly Ranks As Pop Radio’s Most Added Song appeared first on Headline Planet.

Rust claims to advance industrial programming by bridging the gap between low-level systems programming and high-level application programming. At the heart of the argument that this enables programmers to build more reliable and efficient software is the borrow checker - a novel approach to ownership that aims to balance type system expressivity with usability. And yet, to date there is no core type system that captures Rust's notion of ownership and borrowing, and hence no foundation for research on Rust to build upon. In this work, we set out to capture the essence of this model of ownership by developing a type systems account of Rust's borrow checker. We present Oxide, a formalized programming language close to source-level Rust (but with fully-annotated types). This presentation takes a new view of lifetimes as an approximation of the provenances of references, and our type system is able to automatically compute this information through a substructural typing judgment. We provide the first syntactic proof of type safety for borrow checking using progress and preservation. Oxide is a simpler formulation of borrow checking - including recent features such as non-lexical lifetimes - that we hope researchers will be able to use as the basis for work on Rust.

Can ChatGPT replace programmers? What programming languages does ChatGPT know? We answer these and your other generative AI coding questions.

A lazy fix to the Y2K bug caused software issues when the date rolled over to 2020. Later this year, programmers also avoided a Y2038 bug, pushing the problem back to 2486

To empower non-programmers, Confirm’s Ivan Guevara is working on a digital platform for smart manufacturing using low-code technology.Read more Giving teams the tech tools they need for the factories of the future

The Blockchain Academy of Brazil, in collaboration with ConsenSys, is going transatlantic by launching two new blockchain-based courses in Portugal. The courses will be open for enrollment from November, and will only educate students about Ethereum for now, Criptomoedas Fácil reports. The first course, “Ethereum for Developers,” as the name suggests, will teach already competent […]