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The evolution of new technology significantly impacts today’s society and various other industries. While a few developments more or less affect the entire work industry, artificial intelligence (AI) is a relatively new and controversial technology. 

This technology has been advancing steadily in recent years and is now being used in numerous industries. From a business standpoint, it has improved workflow efficiency and manufacturing processes and generated new work opportunities.

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Today no less than 60% of companies are either exploring the possibilities of adopting artificial intelligence or trying to realize its potential to transform the way they do business. The problem is that a significant portion of them (one-third) struggle to produce substantial change with AI.

The lifecycle of an AI solution usually consists of problem definition, data collection, model building, model fine-tuning, and applying the solution to solve a specific problem. Various experts build the solution to solve business problems. Still, a problem solved by a data scientist does not automatically translate into a constant stream of actual value for the business. Once deployed to production, the AI solution cannot be left as-is. Like any other system, it requires continuous maintenance. However, any AI solution’s maintenance differs significantly from the maintenance of other systems (e.g., microservice-based applications). The performance of any AI solution can be affected by many factors, and if the maintenance work is not done, the solution will cause problems instead of solving them.

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For decades Artificial Intelligence has been a focus of best-selling science fiction authors and an antagonist for blockbuster Hollywood movies. But AI is no longer relegated to the realm of science fiction, it inhabits the world around us. From the biggest enterprise companies to plucky startups, businesses everywhere are building and deploying AI at incredible speed. 

In fact, open source allows anyone with a laptop to build impressively good AI models in a day.

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The global artificial intelligence market is expected to reach over $200 billion by 2027. The big data market segment is anticipated to grow up to US$103 billion by 2027 with a share of 45% from the software segment. Similarly, the projected size of the global deep learning market will reach over $40 billion by 2027 at a CAGR of 39.2%.

Indeed, the implementation of technologies like data science, artificial intelligence, and machine learning in organizations has increased exponentially. In the last two years, during the pandemic outbreak, the technologies played a crucial role in saving lives and fostering economic resilience, showing many surprising trends. 

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Over the last year, artificial intelligence (AI) has become a huge part of our everyday lives, which is something of a mixed bag that has brought along a wide variety of both positive and negative influences. On one hand, there are algorithms that are designed to perform a largely marketing-related series of tasks, which are perhaps those best known to individuals outside of the technical space. Think of the algorithms curating your TikTok feed and personalizing suggestions on YouTube. The AI that calculates your fastest morning commute based on virtual maps, your vehicle, and current traffic conditions is also a fairly visible one that has had its share of media attention.

A particular area, though, in which AI has become crucial is cybersecurity. Cybercriminals are increasingly harnessing AI to automate breaches and crack complex systems. Sophisticated, large-scale social engineering attacks and deep fakes are prime examples of this trend. Perhaps more subtle techniques, such as those involving AI-driven data compression algorithms, will soon become an even more important part of the space in the year to come.

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With the holidays fast approaching, there are plenty of fun gifts for you in this roundup of new tools and resources for web designers. Make sure to share anything you find helpful with others to spread additional holiday cheer.

Here’s what is new for designers this month…

Volley

Volley, billing itself as Snapchat for work, is a new way to collaborate with remote teams. The tool addresses the two main problems of remote teams (lack of communication and loneliness) with an async video messaging app with interactive transcriptions neatly organized into workspaces. Volley emphasizes talking over typing (76% of volleys sent are video), doesn’t require you to coordinate schedules (it’s 100% asynchronous), and lives in a threaded conversation with context that’s neatly organized. Plus, the tool is free to use.

Upnext

Upnext is a new type of reading list. It’s designed to help you save, organize, and focus on fantastic content while expanding your knowledge on your favorite topics. You can create playlists with almost any type of content that you can refer to later and follow “thinkers” that you love. Search and filter content, focus on reading, integrate videos, and even highlight and note specific content in your customized library. This brand-new web app has a waitlist that you can join to get access soon.

Startup 5

Startup 5 is a new version of the popular website builder, and it’s a perfect tool to create your online presence. With Startup, it’s fast and easy to get your business online with pre-designed blocks. It includes a visual editor with 150+ blocks with pre-designed and pre-coded elements and styles you can easily customize in a drag and drop interface. It’s an easy tool for building a website quickly without a coding background. Most users can publish a website quickly and easily.

Flatmap

Flatmap generates Mapbox Vector Tiles from geographic data sources like OpenStreetMap. It is memory-efficient so that you can build a map of the world in a few hours on a single machine without any external tools or database. Vector tiles contain raw point, line, and polygon geometries that clients like MapLibre can use to render custom maps in the browser, native apps, or a server. Flatmap packages tiles into an MBTiles (SQLite) file that can be served using tools like TileServer GL or even queried directly from the browser.

Cleanup.Pictures

Cleanup.Pictures is a web-based tool to remove objects, people, text, or other defects from your images before using them in projects. It’s an AI-based alternative to other photo-editing software.

Linkz.ai

Linkz.ai helps you make smart link preview popups for your website to help encourage greater engagement and interaction for links. It works with a line of code you can install quickly and easily, and then you get smart link previews (in two style options) for every link on your site.

Llline

Llline is an SVG generator that helps you create smooth and organic lines and strokes with plenty of customization options for almost any application. This tool helps create graphic elements in just a few clicks, allowing you to add a few points to a canvas and then draw a smooth curve using these points. You can then tweak the resulting SVG graphic by rotating it, changing its color, giving it a gradient, making it a dashed line, and then you can download or copy the SVG markup.

Lorem.Space

Lorem.Space is a valuable placeholder image tool. With just a little bit of code, you can pop cool placeholder images – from movie posters to shoes – right in your website mockup so that the design is easier to visualize. It’s a great solution that’s fun and keeps you from having to put empty boxes throughout the design. And everything can be randomized, so you don’t spend time looking for placeholders.

Huetone

Huetone can help you create more accessible color palettes by making use of the Advanced Perceptual Contrast Algorithm. The contrast ratios and color combinations show on one screen to help you quickly develop palettes and combinations. Plus, the tool has hotkeys that make it easy to change hues, toggle, and adjust quickly. Then you can export everything to Figma.

Rowy

Rowy is an open-source tool to build on the Google Cloud Platform. You can manage Firestore data in a spreadsheet-style user interface, write Cloud Functions in the browser, and connect to third-party platforms.

AdCreative.ai

AdCreative.ai uses artificial intelligence to help create better ad creative. To get started, you upload logos and color files, connect social and other accounts, pick the sizes you need, write text, pick a background, and upload product images, and let the AI do the work. Once you have the creative you like, you can connect to your online ad accounts for easy use. This is a premium tool that’s free to try.

Flowrift

Flowrift is a tool to browse and then copy and customize Tailwind CSS blocks in groups of collections. Filter by block type and then experiment with the options. It even has e-commerce blocks.

Layout Patterns

Layout Patterns is a collection of layout patterns built using modern CSS APIs to help you build common interfaces such as cards, dynamic grid areas, and full-page layouts.

You.com

You.com is a new private search engine that summarizes the web. The tool is in open beta and includes superior privacy choices, actionable results, extensible apps, and personalization through preferred sources.

3D Icons

3D Icons is a fun set of three-dimensional, full-color icons that are free for all uses. (Donations are accepted.) They integrate with pretty much any web design tool you are using and come in four color styles – clay, gradient, color, and premium – so you can get just the right look for your project. Each icon also includes three rendering views – dynamic, side, and isometric.

Arco Design

Arco Design is a comprehensive React UI components library based on the Arco Design system. It includes a customizable theme and more than 60 crafted components that you can use out of the box.

Seekvectors.com

Seekvectors.com is a search tool to find free resources in five different formats, PNG, SVG, JPG, EPS, and AI.

Outline to Single Stroke

Outline to Single Stroke is a tool in the Figma community that works just like the name implies. Select a filled vector on the canvas, and then you can outline it to a single stroke and adjust the line weight if you like.

Codeamigo

Codeamigo is a new self-paced platform to help you learn coding skills. It’s packed with various lessons for different languages and templates and has something for every level from beginner to advanced.

Sizze

Sizze is a Figma to React Native export tool to create app prototypes and instantly export to code.

CodingFont

CodingFont is an excellent game that can help you pick a font to use for coding that you like! If you spend a lot of time looking at code each day, the right font can help reduce eye strain and make the work a little easier to see.

Christmas Revue

Christmas Revue is the first in a trio of holiday typefaces that you can use this season. This SCG color font is fun and perfect for the holidays with exciting glyphs. It is free for personal use only.

Hotsnow

Hotsnow is a fun display font that has interesting fills and shapes in an all-caps character set. It is free for personal use.

Marlwich

Marlwich is a feminine handwriting-style typeface that has the feel of signing a holiday letter or card. It contains upper- and lower-case characters and is only for non-commercial use for free. (A paid option is available for commercial projects.)

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The post Exciting New Tools For Designers, December 2021 first appeared on Webdesigner Depot.

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We’re well on our way to Hallowe’en already, and it’s time for another collection of websites that have caught our eye.

It’s a mixed bag of candy this month, but nothing that should make you scream with fright. Enjoy!

Tether

This single-page site for forthcoming cycle safety system Tether uses a balanced combination of hero video and illustration to explain its features.

Wayfinder 

Wayfinder is a game about our connection to nature that uses generative code, artificial intelligence, machine learning, and data mining to create a new experience each time it is played.

Beechhouse

Beechhouse has a clean, airy feel, with subtle scrolling animation. For a tattoo studio, the overall feel is refreshingly light, without a rose-filled skull to be seen.

edenspiekermann_ 

This is how you do a portfolio site with absolute confidence.

Forward Festival 

Forward Festival is a series of creative conferences run by Forward Creatives design agency. This is an excellent example of a classic magazine site with enough individuality to pull the user in and keep them engaged.

Danmarks Motionsuge 

Denmark’s Exercise Week focuses on a national campaign (in Denmark) to get Danish people to be more active. A fresh color scheme, offset grid, and strong photography all create a dynamic feel. And it is somehow reassuring to the rest of us that even the second happiest population in the world needs to exercise more.

Franco Maria Ricci 

Because we have come to expect load times to be almost nothing, loading screens are not something too many sites bother with. However, this site for publisher Franco Maria Ricci is a pleasing exception.

Pierre Yovanovitch 

Stylishly curated portfolio and catalog site for interior and furniture designer Pierre Yovanovitch.

Gir

Silicone spatulas are probably not the first subject most of us fantasize about designing a site for, but that’s what makes this site for Gir extra good. The ‘add to cart’ footer widget on individual product pages is done well, making sure a buy button is always present but without being over pushy.

Gastronomical 

Bright, bold, and in your face, this site for Gastronomical pancake and waffle mix is about as far from Betty Crocker as it could get, bringing ‘cool’ to home baking.

FC XV

Marking 15 years of Dutch fashion brand Fabienne Chapot, this microsite makes a feature of the illustration style used by the brand for its prints.

Websmith Studio

This is a good, simple portfolio site with good use of color to highlight, and the background noise effect adds subtle interest. Good name too.

Van Gogh Museum

This is definitely one of the better museum websites around. The use of color creates warmth without detracting from the sense of space. The ability to search the collection visually is a welcome feature.

Chérie Healey 

Life coach Chérie Healey’s site manages to stay on the right side of positive and uplifting without tipping over into hippy meme territory.

Kalso 

To mark the launch of the new Earth Shoes website, this microsite traces the history of the original Kalso Earth shoes, starting with their inventor Anne Kalsø herself.

The Order of the Good Death 

The Order of the Good Death is aimed at changing attitudes around a subject that most of us find extremely difficult, in a way that is informative and at the same time appealing. The tone of the content is as essential here as the visual style.

Air Company 

The use of split-screen works well here for Air Company, to show now and future, along with some great photography and video.

Wild Fi 

Wild Fi design agency’s site manages to be colorful but clean at the same time. Bold type and a balance between black on white and white on black make an impact.

Firefly 

This site for Firefly digital design agency has some great little details, notably a glow around the cursor.

StudioBand 

Dark neutral colors provide a calm, muted background for video and photography of work in StudioBand’s portfolio site redesign.

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The post 20 Best New Sites, October 2021 first appeared on Webdesigner Depot.


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 Businesses are quickly acknowledging the importance of Conversational AI (CAI) to increase their customer engagement and revenues. The question is no longer whether to deploy CAI, but rather which platform to use and how to leverage its capabilities. 

In this series, see some insight on important aspects of a conversational AI platform that buyers often overlook. For example, what does language support really mean? What is localization? How do different deployment models impact the TCO? And maybe most importantly – How can the CAI platform not only help me during the first development sprints – but across the entire bot lifecycle?

Source de l’article sur DZONE

On June 29th, GitHub announced Copilot, an AI-powered auto-complete for programmers, prompting a debate about the ethics of borrowed code.

GitHub is one of the biggest code repositories on the Internet. It hosts billions of lines of code, creating an unparalleled dataset with which to train a coding AI. And that is exactly what OpenAI, via GitHub, thanks to its owners Microsoft has done — training Copilot using public repositories.

The chances are you haven’t tried Copilot yet, because it’s still invite-only via a VSCode plugin. People who have, are reporting that it’s a stunning tool, with a few limitations; it transforms coders from writers to editors because when code is inserted for you, you still have to read it to make sure it’s what you intended.

Some developers have cried “foul” at what they see as over-reach by a corporation unafraid of copyright infringement when long-term profits are on offer. There have also been reports of Copilot spilling private data, such as API keys. If, however, as GitHub states, the tool has been trained on publicly available code, the real question is: which genius saved an API key to a public repository.

GitHub’s defense has been that it has only trained Copilot on public code and that training AI on public datasets is considered “fair use” in the industry because any other approach is prohibitively expensive. However, as reported by The Verge, there is a growing question of what constitutes “fair use”; the TLDR being that if an application is commercial, then any work product is potentially derivative.

If a judge rules that Copilot’s code is derivative, then any code created with the tool is, by definition, derivative. Thus, we could conceivably reach the point at which a humans.txt file is required to credit everyone who deserves kudos for a site or app. It seems far-fetched, but we’re talking about a world in which restaurants serve tepid coffee for fear of litigation.

There are plenty of idealists (a group to which I could easily be accused of belonging) that nurture a soft-spot for the open-source, community-driven web. And of course, it’s true to say that many who walk the halls (or at least log into the Slack) of Microsoft, OpenAI, and GitHub are of the same inclination, contributing generously to open-source projects, mentoring, blogging, and offering a leg-up to other coders.

When I first learnt to code HTML, step one, before <p>hello World!</p> was view > developer > view source. Most human developers have been actively encouraged to look at other people’s code to understand the best way to achieve something — after all, that’s how web standards emerged.

Some individuals are perhaps owed credit for their work. One example is Robert Penner, whose work on easing functions inspired a generation of Actionscript/JavaScript coders. Penner published his functions online for free, under the MIT license; he also wrote a book which taught me, among other things, that a while loop beats a for loop, a lesson I use every day — I’d like to think the royalties bought him a small Caribbean island (or at least a vacation on one).

There is an important distinction between posting code online and publishing code examples in a book, namely that the latter is expected to be protected. Where Copilot is on questionable ground is that the AI is not a searchable database of functions, it’s code derived from specific problems. On the surface, it appears that anything Copilot produces must be derivative.

I don’t have a public GitHub repository, so OpenAI learned nothing from me. But let’s say I did. Let’s say I had posted a JavaScript-powered animation from which Copilot garnered some of its understanding. Does Microsoft owe me a fraction of its profits? Do I in turn owe Penner a fraction of mine? Does Penner owe Adobe (who bought Macromedia)? Does Adobe owe Brendan Eich (the creator of JavaScript)? Does Eich owe James Gosling (creator of Java), if not for the syntax, then for the name? And while we’re at it, which OS was Gosling using back in the mid-90s to compile his code — I doubt it was named after a fruit.

If this seems farcical, it’s because it is. But it’s a real problem created by the fact that technology is moving faster than the law. Intellectual property rights defined before the advent of the home computer cannot possibly define an AI-driven future.

 

Featured image uses images via Max Chen and Michael Dziedzic.

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The post Poll: The Ethical Dilemma at the Heart of GitHub’s Copilot first appeared on Webdesigner Depot.


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Introduction

In today’s highly competitive world, software development and automation play a significant role in creating robust software applications for businesses. Additionally, emerging technologies like artificial intelligence and blockchain have given a competitive edge to enterprises. For gaining maximum benefits out of automation testing, testers require hands-on experience in a minimum of one automation programming language. There are numerous programming languages available today, with new ones continuously emerging. No matter which phase you are in, whether starting with automation testing or being an experienced tester planning to learn a new programming language, deciding which language to choose is very critical.

Which Automation Programming Language Is the Best for Testing?

The following list is prepared after considering metrics like recent trends, language popularity, career prospects, open-source projects, and more. As per TIOBE Index 2021 and IEEE Spectrum Magazine, Java, C, and Python are the top three automation programming languages on the list. Following are some of the most preferred languages on the whole entire list.

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