Tag Archives: tools

UK Case Ruling Prohibits Sex Offenders from Utilizing AI Tools

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A convicted sex offender who created over 1,000 indecent images of children has been forbidden from using any “AI creation tools” for the next five years, marking a significant case in this realm.

Anthony Dover, 48, was instructed by a British court in February not to use artificial intelligence-generated tools without prior police authorization, as part of a sexual harm prevention order issued in February.

The prohibition extends to tools like text-image generators that produce realistic-looking photos from written commands, as well as the manipulation of websites used to generate explicit “deepfake” content.

Mr. Dover, who received a community order and a £200 fine, was specifically directed not to utilize the Stable Diffusion software known to be exploited by pedophiles to create surreal child sexual abuse material.

This case is part of a series of prosecutions where AI-generated images have come to the forefront, prompting warnings from charities regarding the proliferation of such images of sexual abuse.

Last week, the government announced the creation of a new crime that makes it illegal to produce sexually explicit deepfakes of individuals over 18 without their consent, with severe penalties for offenders.

Using synthetic child sexual abuse material, whether real or AI-generated, has been illegal under laws since the 1990s, leading to recent prosecutions involving lifelike images produced using tools like Photoshop.

These tools are increasingly being used to combat the dangers posed by sophisticated synthetic content, as evidenced by recent court cases involving the distribution of such images.

The Internet Watch Foundation (IWF) emphasized the urgent need to address the production of AI-generated child sexual abuse images, warning about the rise of such content and its chilling realism.

Law enforcement agencies and charities are working to tackle this growing trend of AI-generated images, with concerns rising about the production of deepfake content and the impact on victims.

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Efforts are underway to address the growing concern over AI-generated images and deepfake content, with calls for technology companies to prevent the creation and distribution of such harmful material.

The decision to restrict adult sex offenders from using AI tools may pave the way for increased surveillance of those convicted of indecent image offenses, highlighting the need for proactive measures to safeguard against future violations.

While restrictions on internet use for sex offenders have existed, limitations on AI tools have not been common, underscoring the gravity of this case and its implications for future legal actions.

The company behind Stable Diffusion, Stability AI, has taken steps to prevent abuse of their software, emphasizing the importance of responsible technology use and compliance with legal guidelines.

Source: www.theguardian.com

OpenAI warns against releasing voice cloning tools due to safety concerns.

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OpenAI’s latest tool can create an accurate replica of someone’s voice with just 15 seconds of recorded audio. This technology is being used by AI Labs to address the threat of misinformation during a critical global election year. However, due to the risks involved, it is not being released to the public in an effort to limit potential harm.

Voice Engine was initially developed in 2022 and was initially integrated into ChatGPT for text-to-speech functionality. Despite its capabilities, OpenAI has refrained from publicizing it extensively, taking a cautious approach towards its broader release.

Through discussions and testing, OpenAI aims to make informed decisions about the responsible use of synthetic speech technology. Selected partners have access to incorporate the technology into their applications and products after careful consideration.

Various partners, like Age of Learning and HeyGen, are utilizing the technology for educational and storytelling purposes. It enables the creation of translated content while maintaining the original speaker’s accent and voice characteristics.

OpenAI showcased a study where the technology helped a person regain their lost voice due to a medical condition. Despite its potential, OpenAI is previewing the technology rather than widely releasing it to help society adapt to the challenges of advanced generative models.

OpenAI emphasizes the importance of protecting individual voices in AI applications and educating the public about the capabilities and limitations of AI technologies. The voice engine is watermarked to enable tracking of generated voices, with agreements in place to ensure consent from original speakers.

While OpenAI’s tools are known for their simplicity and efficiency in voice replication, competitors like Eleven Labs offer similar capabilities to the public. To address potential misuse, precautions are being taken to detect and prevent the creation of voice clones impersonating political figures in key elections.

Source: www.theguardian.com

Earliest Human Occupation of Europe Marked by Discovery of 1.4-Million-Year-Old Stone Tools in Ukraine

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Archaeologists have dated ancient stone tools unearthed at the Korolevo site along the Tisza River in western Ukraine to 1.42 million years ago. Therefore, these artifacts are homo erectus — provides the earliest evidence of humans in Europe and supports the hypothesis that the continent was colonized from the east.

Stone tools from Korolevo I, Ukraine.Image credit: Garba other., doi: 10.1038/s41586-024-07151-3.

“To the east of Europe is the important site of Dmanisi, Georgia, where layers containing human skull remains and stone tools have been reliably dated to approximately 1.85 million to 1.78 million years ago.” said lead author and archaeologist Dr. Roman Garba. Institute of Archeology and Nuclear Physics of the Czech Academy of Sciences, and colleagues.

“The path from Africa to Dmanisi through the Levantine Corridor is consistent with Mode 1 stone artefacts recorded in Jordan's Zarqa Valley, dating back approximately 2.5 million years.”

“The earliest dated evidence of humans in Europe was found at two sites in the southwest: Atapuerca, Spain, the oldest hominin fossils at Sima del Elefante are dated to about 1.2 million years old. and 1.1 million years ago. And in the Valone Cave in southern France, stone artifacts are limited to about 1.2 to 1.1 million years ago.”

“However, the vast spatial and temporal gap separating the Caucasus from southwestern Europe leaves important aspects of the first human dispersal into Europe largely unresolved.”

The Korolebo website is first discovered It was discovered in 1974 by Ukrainian archaeologist Vladislav Gradylin.

It is located near where the Tisza River, a tributary of the Danube, emerges from the eastern Carpathians and spreads southwest across the Pannonian Plain.

“The layers of loess and paleosoil accumulated here are up to 14 meters deep and are known to contain thousands of stone artifacts. Korolevo is an important raw material for their production. ” said co-author Dr. Vitalij Usyk, an archaeologist at the Institute of Archeology of the Czech Academy of Sciences.

“We have identified seven epochs of human occupation in the stratigraphic strata, and at least nine different Paleolithic cultures have been recorded in the region. I lived here until a year ago.”

Selected stone tools from Korolevo I, Ukraine: (a) chopper core; (b) Flakes with double-sided treatment. (c) Multiplatform Core. (d) Combewa flakes. (e) Flakes with parallel scar patterns. Scale bar – 3 cm.Image credit: Garba other., doi: 10.1038/s41586-024-07151-3.

The stone tools of Korolevo are oldowan stylethe most primitive form of tool making.

“We applied two complementary dating methods to calculate ages from measured concentrations of beryllium-10 and aluminum-26 of cosmic origin,” said lead author, Czech Academy of Sciences Geophysical Research said Dr. John Jansen, a researcher at the institute.

“However, the most accurate age was obtained from our proprietary method based on mathematical modeling known as P-PINI.”

“This study is the first time our new dating approach has been applied to archeology.”

“We expect our new dating approach to have a major impact on archaeology, as it can be applied to highly fragmented deposits – deposits with lots of erosional voids.”

“In archaeology, we almost always find a fragmentary record, whereas the traditional long-distance dating method, magnetostratigraphy, relies on a more continuous record.”

The First Peoples of Europe: (a) Ruins and dispersal routes mentioned in the text. The maximum extent of the Eurasian ice sheet is indicated by the gray dashed line. Blue arrows indicate possible early human dispersal routes. (b) Korolevo I, Gostly Verv, Ukraine, seen from Beyvar Hill with excavation XIII (red box).Image credit: Garba other., doi: 10.1038/s41586-024-07151-3.

According to the research team, Korolevo is the northernmost known archaeological site. homo erectus.

“The radiometric dating of the first human presence at the Korolevo site not only bridges the large spatial gap between the Dmanisi and Atapuerca sites, but also shows that the first dispersal pulse of humans into Europe came from the east or southeast. This also supports our hypothesis,'' Dr. Garba said.

“Based on climate models and field pollen data, we identified three possible interglacial warm periods during which the first humans most likely followed the Danube migratory corridor to reach Korolevo. .”

a paperThe survey results were published in a magazine Nature.

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R. Garba other. 1.4 million years ago, humans dispersed from east to west across Europe. Nature, published online March 6, 2024. doi: 10.1038/s41586-024-07151-3

Source: www.sci.news

Google CEO acknowledges that AI tool’s lack of photo diversity is causing offense to users

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The CEO of Google expressed concern over some responses from the company’s Gemini artificial intelligence model, calling them “unlikely” and pointing out issues such as depicting German World War II soldiers as people of color. He described this bias as “totally unacceptable.”

In a memo to employees, Sundar Pichai acknowledged that images and text generated by modern AI tools were causing discomfort.

Social media users highlighted instances where Gemini image generators depicted historical figures of different ethnicities and genders, including the Pope, the Founding Fathers, and Vikings. Google suspended Gemini’s ability to create people images in response.

One example involved Gemini’s chatbot responding to a question about negative social impacts, leading to a discussion about Elon Musk and Hitler. Pichai addressed this issue, calling the responses upsetting and indicative of bigotry.

Viking AI image Photo: Google Gemini

Pichai stated that Google’s teams were working to improve these issues and have already made significant progress. AI systems often generate biased responses due to training data issues, reflecting larger societal problems.

Gemini’s competitors are also working on addressing bias in AI models. New versions of AI generators like Dall-E prioritize diverse representation and aim to mitigate technical issues.

Google is committed to making structural changes and enhancing product guidelines to address biases. Pichai emphasized the importance of providing accurate and unbiased information to users.

Elon Musk criticized Google’s AI programs, pointing out the bias in generated images. Technology commentator Ben Thompson called for a shift in decision-making at Google to prioritize good product development.

The emergence of generative AI platforms like OpenAI’s ChatGPT presents a competitive landscape in AI development. Google’s Gemini AI chatbot, formerly known as Bard, offers paid subscriptions for enhanced AI capabilities.

Google DeepMind continues to innovate in AI, with breakthroughs like the AlphaFold program for predicting protein structures. The CEO of DeepMind acknowledged the need to improve diversity in AI-generated images.

Source: www.theguardian.com

Understanding Sora AI: A Comprehensive Guide to OpenAI’s Text-to-Video Tools

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Sora introduces a groundbreaking artificial intelligence software that empowers users to produce remarkably lifelike videos based on simple verbal instructions.

OpenAI, the mastermind behind Dall-E and ChatGPT, is pushing boundaries with the soon-to-be-released service.

This innovation seemingly emerged out of nowhere. Previous attempts at AI-generated videos were less than impressive, to put it lightly. But with Sora, things are changing.

How did OpenAI achieve this feat? Can you use these tools today? And what does this mean for the future of video and content creation? Let’s dive deep into the modern tools and their implications.

What is Sora?

Sora is an AI tool capable of generating full videos up to 1 minute long. For instance, by simply entering a prompt like “a group of cats worshipping a giant dog,” Sora can potentially display videos matching that description.

Amidst the social media buzz and specialized computing communities, Sora’s unexpected rise may have gone unnoticed. There wasn’t any grand announcement or extensive advertising campaign; it just appeared abruptly.

OpenAI has showcased various sample videos where Sora impressively produces lifelike visuals. These videos feature mirror reflections, intricate liquid movements, and falling snow particles.

How does Sora work?

Sora operates similarly to previous AI image generators but with added complexity. It utilizes diffusion modeling to convert video frames into static images, which are then reconstructed into a cohesive video.

To train Sora, example videos and corresponding textual descriptions are provided to help the model understand the relationship between images and actions depicted in the videos.

This process challenges the model to understand intricate details like 3D models, motion, reflections, shadows, and other complex features to replicate accurately.

For transparency, OpenAI offers a detailed explanation of how the model functions on its website, although the sources of the training videos remain undisclosed.

How to use Sora AI

Currently, Sora is not available to the general public. OpenAI exercises caution in releasing such powerful tools, starting with a small “red team” of individuals who assess potential risks and harms of the technology.

Following this, a select group of visual artists, designers, and filmmakers will gain insight into how the tool functions for creative endeavors. Eventually, Sora may become accessible to the public, likely following OpenAI’s pay-as-you-go model.

Is Sora the best AI video generator?

Based on the videos unveiled so far, Sora appears to be a significant leap ahead of previous AI video generation attempts. Early endeavors in AI-generated videos, like Will Smith eating spaghetti or the ”Peppoloni Hug Spot” commercial, paled in comparison.

Contrasting those early attempts with Sora’s work reveals a stark contrast. Sora’s videos boast accurate lighting, reflections, and human-like features, even tackling complex scenarios like people entering and exiting the frame.

Despite its impressive capabilities, Sora is not without flaws. Glitches like disappearing body parts, sudden appearances, and floating feet are observable in its videos. As the public gains access, more videos will expose both strengths and weaknesses of the model.

read more:

Source: www.sciencefocus.com

Apple accuses Spotify of seeking ‘unlimited’ access to its tools for free

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Apple is hitting back at Spotify over an ongoing competition case filed in the EU, which could lead to significant fines if Apple is found guilty.

The federation has completed its investigation into allegations of anti-competitive behavior by Apple regarding the App Store rules for the music streaming service and is expected to levy a fine of €500m (£425m). Apple accused Spotify of seeking access to its tools without paying for them.


Spotify, based in Stockholm, lodged a complaint with the EU in 2019, alleging that the App Store rules restrict choice and competition by imposing a 30% fee on purchases, including music streaming subscriptions. Spotify argued that this fee gives Apple an unfair advantage over its own competing Apple Music streaming service.

Apple responded by stating that Spotify does not offer subscriptions through the App Store, hence does not pay any fees to Apple in the EU.

The European Commission, after a lengthy investigation, found no evidence of consumer harm or anti-competitive behavior by Apple in this market. Apple criticized EU regulators for the prolonged investigation.

Spotify, with over 50% market share in Europe, has access to various advertising channels outside of the App Store to inform users how to subscribe, including email marketing and social media.

Apple also stated that the investigation may further solidify Spotify’s dominant position in the market, rather than fostering competition.

When Spotify filed its complaint in 2019, founder Daniel Ek accused Apple of implementing rules in the App Store that suppress innovation and limit choices.

Source: www.theguardian.com

GPT-4 Developer Tools Allows for Autonomous Website Hacking

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Some AIs may be able to hack websites without human assistance

Ole.CNX/Shutterstock

Researchers have discovered that OpenAI’s artificial intelligence model GPT-4 has the ability to hack websites and steal information from online databases without any human assistance. This suggests that individuals and organizations without hacking expertise could unleash AI agents to carry out cyberattacks.

“You literally don’t have to understand anything; you just let the agent hack your website on its own,” he says. Daniel Kang At the University of Illinois at Urbana-Champaign. “We believe this will significantly reduce the required expertise…

Source: www.newscientist.com

Neanderthals Used Ocher Glue to Make Stone Tools, According to Scientists

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Archaeologists have discovered traces of an ancient ocher-based multicomponent adhesive in 40,000-year-old stone tools unearthed in Le Moustiers, France.

Photographs, drawings and details of stone tools from Le Moustiers, France. Image credit: D. Greinert / Schmidt other., doi: 10.1126/sciadv.adl0822.

“These surprisingly well-preserved tools show technical solutions that are broadly similar to examples of tools made by early modern humans in Africa, but the exact recipes reflect a Neanderthal 'spin.' “This is the manufacture of hand tool grips,” he said. Radu Iovita, researcher at New York University's Center for Human Origins Research.

In the study, Dr. Iovita and colleagues examined stone tools with traces of red and yellow colorants excavated from the French ruins of Le Moustiers, discovered in the early 20th century.

These stone tools were made by Neanderthals during the Middle Paleolithic period, between 120,000 and 40,000 years ago.

They are kept in the collection of the Museum of Prehistory and Early History in Berlin, but have not been studied in detail until now.

“The products had been individually wrapped and left untouched since the 1960s. As a result, the remains of attached organic matter were very well preserved,” says Eva, a researcher at the Museum of Prehistory and Early History in Berlin. Dr. Dutkiewicz said.

Researchers found traces of ocher and asphalt mixtures on some Mousterian stone tools, such as scrapers, flakes, and blades.

Ocher is a naturally occurring earth pigment. Bitumen is a component of asphalt and can be produced from crude oil, but it also occurs naturally in soil.

“I was surprised to find that it contained more than 50% ocher. This is because air-dried asphalt can be used directly as an adhesive, but adding so much ocher would cause it to lose its adhesive properties. '' said Dr. Patrick Schmidt, a researcher at the University of Tübingen.

Scientists tested these materials in tensile tests and other measurements used to determine strength.

“The situation was different when we used liquid bitumen, which is not very suitable for bonding. When you add 55% ocher, a malleable mass forms,” ​​said Dr. Schmidt.

It was sticky enough to pierce stone tools, and did not stick to hands, making it ideal as a material for handles.

In fact, microscopic examination of the signs of wear from use on these stone tools revealed that the adhesive on Le Moustier's stone tools had been used in this way.

“The tool showed two types of micro-wear: one is the typical grinding of sharp edges, which is usually caused by machining other materials,” says Dr. Iovita.

“Secondly, there was a bright polish distributed all over what appeared to be the hand grip, but not anywhere else. We interpreted it to be the result of wear and tear.”

The use of adhesives containing several ingredients, including various sticky substances such as tree resins and ocher, was known from early Homo sapiens in Africa, but not since early Neanderthals in Europe. It wasn't known.

Overall, the development of adhesives and their use in tool manufacturing is considered to be some of the best physical evidence of early human cultural evolution and cognitive abilities.

“Composite glue is thought to be one of the first expressions of modern cognitive processes that are still active today,” said Dr. Schmidt.

In the Le Moustiers area, ocher and asphalt had to be collected from remote locations, which required a great deal of effort, planning and a targeted approach.

“Given the overall circumstances of the find, we believe that this sticky material was created by Neanderthals,” Dr. Dutkiewicz said.

“Our research shows that early homo sapiens “African Neanderthals and European Neanderthals had similar thought patterns,” Dr. Schmidt said.

“Their adhesion techniques have the same importance for understanding human evolution.”

Regarding this research, paper Published in today's magazine scientific progress.

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Patrick Schmidt other. 2024. Ocher-based composite adhesives used in Mousterian typesetting have recorded mixed recognition and significant investment. scientific progress 10(8); doi: 10.1126/sciadv.adl0822

Source: www.sci.news

The potential impact of AI tools on employment opportunities

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I
Researching the use of artificial intelligence (AI) in the world of work,
Hilke Shellman
She thought it would be a good idea to try some tools. Among them was a system called a one-way video interview system aimed at supporting recruitment.
my interview.
She got a login from her company and started her experiment. She first chooses the questions she asks as a hiring manager, then video records her answers as a candidate, and then her proprietary software records the words she used and the intonation of her voice. was analyzed. She scores how suitable she is for the job.

She was delighted to have an 83% match rate for the role. But when she redid her interview in German, which is her native language, instead of English, she received an error message and instead she received the appropriate score (73%). I was surprised that it did. And she wasn’t even trying to answer the question this time. But read the Wikipedia entry. The record the tool made up of her German was gibberish.When her company showed her their tools
Already knew
Since she didn’t speak English, she was graded mainly on intonation, but we used a robot voice generator to read her English answers. Here again she recorded her high score (79%) and Shellman gave her a headache.

“If simple tests show that these tools may not work, then we need to seriously consider whether we should be using them in recruiting,” said Shellman, an assistant professor of journalism at New York University and an investigative reporter. “There is,” he says.

The experiment, which was conducted in 2021, is described in Schellman’s new book,
algorithm.
Explore how AI and complex algorithms are increasingly being used to help hire and then monitor and evaluate employees, including firing and promoting them. Mr. Shellman previously
guardian
In addition to experimenting with the tools, we also talk about this topic with experts who have researched the tools and experts who are on the receiving end of the tools.

This tool is attractive to employers because it aims to reduce the time and cost of filtering through large numbers of job applications and increase workplace efficiency. But Shellman concludes that they do more harm than good. Many hiring tools are not only based on troubling pseudoscience (for example, the idea that your voice intonation can predict your success on the job doesn’t hold true, Shellman says), but they also have the potential to discriminate. There is also.

Source: www.theguardian.com

Innovate with Azure: 5 ways developers’ lives are made easier with cloud tools

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There is an interesting and appropriate “spot the difference” Microsoft Visual Studio An advertisement that used to be published in a computing magazine.

On the left side of the image is the desk of an “unhappy” software developer. It's midnight now. Under the gaze of a single desk lamp, mangled piles of paper litter the scene, and yellow sticky notes dangle from a computer screen.

The right side shows the desk of a “happy” software developer. It's clean and tidy, you have a calendar full of social events, and it's a sunny day outside.

The message was clear. It means that developers will feel less stressed if they use his C++, a popular programming language that allows them to develop software regardless of the platform.

Almost two decades later, technology has advanced, but software developers still face many of the same challenges. How do you handle the entire lifecycle of creating a product for your customers, from designing the software to making sure it works and is secure? , to deployment and maintenance of the finished product?

Scaling up and down is smooth
Cloud platforms greatly simplify developers' lives, from planning, writing, editing, and debugging code to delivering it live to customers, even when they don't know what the final requirements will look like. .

Previously, software companies delivered applications and services to customers and then had to guess how much infrastructure was needed to support product delivery and maintenance.

This problem can be further exacerbated by the fact that customers may be struggling to meet highly fluctuating demand from end users.

Azure's scalable cloud platform solves this problem by hosting your software and automatically scaling it as demand increases or decreases, allowing you to focus on what you do best: software development. .

Consider the following case live tech games (LTG) etc. The company was faced with the challenge of supporting 10,000 users simultaneously playing a live football tournament multiplayer mobile game online, a number he needed to increase to 500,000.

“During the 2022 FIFA World Cup, in partnership with ITV, we ran over 30 live tournament games with thousands of players competing simultaneously, and thanks to Azure, everything went perfectly. ” says the LTG co-founder. Co-CEO Samuel Worsley.

Develop and debug all in one place
Software development is a complex process. Especially when there are many cooks involved and everyone, including the boss, has different ideas about what coding language the software should be written in.

“If you like working in one programming language and your colleague likes working in another, that's not a problem with Visual Studio,” says Microsoft UK Head of Digital and Application Innovation, Data and Artificial Intelligence. Director Denise Dourado said. .

Visual Studio is an integrated development environment that allows developers to write, edit, and debug code in one place instead of moving from tool to tool.

“Without Visual Studio, you end up designing code in one place and having to debug it in another place. It takes time,” says Dourado.

The worst thing for developers, she says, is that when they switch from one tool to another, they worry about what will happen to their code, making the development process take a long time.

Audit software is easy
You've built your software, but now you need to deploy and maintain it, which can be a huge headache.Here is Azure DevOp Services Come in.

Azure DevOps can be used collaboratively by multiple people to track changes made to software source code and release them to customers in a live environment.

In addition, at a time of global economic uncertainty, there is a real need to reduce costs and improve efficiency while providing added value to customers whose businesses are undergoing significant digital transformation.

Mobile phone company Vodafone realized that it had too many computer systems within the company and many different code repositories for all of its software. Some control systems relied on Word documents to manually track source code changes.

“At the time, we could automatically roll back a deployment to see specifically which line of code caused the problem, link to the developer, and see why we did something like that. It took us a long time to be able to do that,” says Ben Connolly. Head of Digital Engineering at Vodafone.

“it has been Revolutionize with the power of Azure DevOps. It's all pipeline now, and it's much more auditable than what we had before. ”

Improved productivity
Artificial intelligence (AI) is also increasingly helping developers solve pain points. GitHub, the world's largest code repository and social software development community, leverages AI in the following ways: GitHub Copilot.

“GitHub Copilot provides enhanced features for developers, including suggesting code improvements, identifying common coding errors, and helping developers understand the codebase faster, especially for developers new to the project. ,” adds Dourado.

According to GitHub, 46% of new code is now written by AI, overall developer productivity has increased by 55%, and 75% of developers on the platform are looking to be more creative with their software development. They report that they are now able to concentrate on specific areas.

Software development has been democratized
Microsoft wants to take things a step further by “democratizing” the IT industry and making it possible for people without a software development background to build software, Dourado said. “We're bringing in users from the business environment and allowing them to build programs without necessarily understanding code,” she added.

for example, Azure cognitive services You can automate document processing, improve customer service, understand the root causes of anomalies, and extract insights from content.

“The world of technology is constantly changing, especially around things like AI, and if you are a developer, it may not be your core skill. We’re trying to make it possible to leverage AI without spending months or years,” says Dourado.

“What's important to me is that I don't have to struggle to learn new technology and have more freedom to be creative and take advantage of the features of the application.”


read more

Source: www.theguardian.com

AI-powered tools from Stability AI now generate 3D models using artificial intelligence

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Stability AI, the startup behind the text-to-image AI model Stable Diffusion, believes 3D modeling tools could be the next big thing in generative AI.

At least, that’s the message the company is sending with the release of Stable 3D, an AI-powered app that generates textured 3D objects for modeling and game development platforms like Blender, Maya, Unreal Engine, and Unity.

Available in private preview for select customers who contact Stability through their company Inquiry formStable 3D is designed to help non-experts generate “draft-quality” 3D models “in minutes.” blog.

“Creating 3D content is one of the most complex and time-consuming tasks for graphic designers, digital artists, and game developers, as it can take hours or even days to create a moderately complex 3D object. is common,” the company writes. “Stable 3D levels the playing field for independent designers, artists and developers, allowing him to create thousands of 3D objects a day for very little cost.”

All hype aside, Stable 3D seems to be pretty robust and on par with other model generation tools on the market in terms of its functionality. Users can describe the 3D model they want to create in natural language, or upload existing images and illustrations and convert them into a model. Stable 3D outputs 3D models in “.obj” file format. This allows you to edit and manipulate it using most standard 3D modeling tools.

Stability has not disclosed what data it used to train Stable 3D. Given that generative AI models tend to regurgitate training data, this could be a concern for commercial users of the tool in the future. If any of the data is copyrighted and Stability AI did not obtain the appropriate license, Stable 3D customers could unknowingly incorporate works that infringe on intellectual property into their projects. There is a gender.

Stability AI also doesn’t have the best track record when it comes to respecting intellectual property. Earlier this year, Getty and several artists sued the startup for copying and processing millions of images in their possession without proper notice or compensation to train stable spreaders.

Stability AI recently partnered with startup Spawning to honor “opt-out” requests from artists, but it’s unclear whether that partnership covers Stable 3D’s training data. We have reached out to Stability AI for more information and will update this post if we hear back.

Potential legal implications aside, Stable 3D marks Stability AI’s entry into the nascent but already crowded field of AI-powered 3D model generation.

The 3D model was generated with Stability AI’s new Stable 3D tool.

There are 3D object creation platforms like 3DFY and Scenario, as well as startups like Kaedim, Auctoria, Mirage, Luma, and Hypothetic. Even established companies like Autodesk and Nvidia are starting to dip their toe into the field with apps like Get3D, which converts images into 3D models, and ClipForge, which generates models from text descriptions.

It’s also in the meta experimented Uses techniques to generate 3D assets from prompts. OpenAI is no different, releasing Point-E last December. It is an AI that synthesizes 3D models with potential applications in 3D printing, game design, and animation.

Stable 3D appears to be Stability AI’s latest attempt to diversify or pivot in the face of increasing competition from generative AI platforms that create art, such as Midjourney and the aforementioned OpenAI.

April, Semaphor report Stability AI has been found to be draining cash and fueling executive hunts to boost sales. according to According to Forbes, the company repeatedly delayed paying wages and payroll taxes, or didn’t pay them at all, resulting in AWS access to Stability’s GPU instances, which Stability uses for calculations to train its models. He is threatening to cancel the.

Recent stability AI raised The company received $25 million through convertible notes (i.e., debt that converts into equity), bringing its funding to more than $125 million. However, it has not completed new financing at a higher valuation. The startup was last valued at $1 billion. Stability is said to be aiming to quadruple that figure in the coming months, even though revenues remain low.

In what looks like another attempt to differentiate itself and drive sales, Stability AI today announced new features for its online AI-powered photo editing suite. This includes model tweaking features and “Sky Replacers” that allow users to personalize the underlying art generation model. A tool to replace the sky color and beauty in your photos with preset alternatives.

The new tools join Stability AI’s growing portfolio of AI-powered products, including music generation suite Stable Audio, doodle-making app Stable Doodle, and chatbots like ChatGPT.

Source: techcrunch.com