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Roblox Augments Chat WIth Real-Time AI Translation Across 16 Languages Stefano Corazza: AI will enable new Roblox users to create much faster Users can describe environments, objects, lighting, terrain, and interactive behaviors to iterate visually. Roblox is also working on a tool to generate custom 3D avatars from images that can be imported and customized. Roblox also announced work on applying generative AI to its voice moderation to catch real-time violations of its rules. Instead, it summarizes audio sequences to understand context and intent versus just keywords. As we continue to grow, we are investing in the tools and resources for developers and creators to build the next generation of experiences users can enjoy on the platform. Luxury fashion continues to gravitate toward Roblox, an online game that allows brand partners to build custom virtual worlds for shoppers to explore. Roblox players control avatars that can don different outfits and participate in a variety of in-game activities for rewards. NFTevening is a renowned and award-nominated media platform dedicated to reporting on the cryptocurrency industry. Its journalists adhere to a rigorous set of editorial standards, guided by principles designed to uphold integrity, ensure editorial independence, and maintain unbiased reporting across all its publications. Eric has been a professional writer and editor for more than a dozen years, specializing in the stories of how science and technology intersect with business and society. To support these ongoing performance efforts, Roblox is sharing an early peek at a novel technology, Harmony, which optimizes all aspects of engine streaming on both client and server. Both the Avatar Auto Setup and Texture Generator have been released globally today, March 18, available in alpha and public beta respectively. They can be found within Roblox Studio, the platform’s advanced development environment. Roblox creators can now make and sell limited-run avatar gear “We’ll provide these capabilities in a resource-efficient way, so we can make them available to everyone on the platform.” The 3D environment generator is part of Roblox’s broader AI integration strategy. The company reportedly uses around 250 AI models across its platform, including one that monitors voice chat in real time to enforce content moderation, which is not always popular with players. Making it easier for creators to build games is part of its mission, and Roblox provides creators with a platform that enables end-to-end tools, services and support to help them build the most immersive 3D experiences, Sturman said. For certain, there is pressure for Roblox to respond to the wave of excitement around generative AI and show that it isn’t going to be passed by in this technology wave. Roblox is developing an AI “3D foundational model” that will be open source and create 3D assets through text, video and 3D prompts. Baszucki describes this as an “incubation project” with around 40 dedicated employees, and says they’re only three months down the road on it. He then shows an overhead view of a map being created through simple text prompts, then becoming a desert, then prompted into becoming a forest scene (with both a text and image prompt). Violation notifications aim to curb harmful behavior through immediate feedback. The English model is coming soon, with additional languages to be added later. It also launched AI-enabled toxicity monitoring for voice chat and real-time translation of text chat. The outpouring of engagement from users resulted in 19.7 billion translated messages so far— about one third of the messages sent on Roblox — including valuable user feedback from international markets for creators. The upcoming AI tool could potentially streamline content creation on the platform, possibly accelerating Roblox’s path toward its revenue goal. “We see a powerful future where Roblox experiences will have extensive generative AI capabilities to power real-time creation integrated with gameplay,” Roblox said in a statement. In an interview with The Verge, Roblox CTO Daniel Sturman described how the tool might be able to create basic gameplay behaviors like teleporting you to a place if you touch a door. The Roblox Assistant can also help with coding and answer questions about developing on Roblox, which could be useful tools for creators on the platform. Implementing these AI tools has led to a noteworthy shift in development, changing the game for many. A total 36 percent of beta users have already leveraged the main AI tool – the Material Generator – with more than 70 thousand images created through it per day. In fact, 50 percent more users are creating variations of materials daily than were doing so prior to the tool’s launch. Today’s Tech News Roundup: This new creation would both look like a red sports car but also have all the behavior coded into it to be driven through a 3D virtual world, he said. For example, some creators know how to code, but may have limited experience creating high-fidelity 3D models. Others may be more experienced with model design, but less experienced with code. He noted that generative AI is currently focused on pictures and videos, not 3D creation. But, in Roblox, you need 3D objects, so if you see a tree, it needs to behave like a tree and also be visible from all sides. “A creator could say I want to create a world that is in the Scottish Highlands with castles and a stormy day, with a dragon background, and I want all of this in a steampunk steam style. At the Roblox Developer Conference a few months back, we announced our work to build a 3D Foundational Model, an open source 3D AI generative model. Back in February, Roblox revealed its vision for generative AI in Roblox Studio, hoping the tech would empower everyone to become creators. AI-powered NPCs that don’t need a script could make games—and other worlds—deeply immersive. Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Baszucki anticipates a diverse array of experiences stemming from the integration of AI tools. Both seasoned developers and

DataRobot Introduces an Enterprise AI Suite to Develop and Deliver Generative AI Applications NVIDIA Releases NIM Microservices to Safeguard Applications for Agentic AI NVIDIA Blog Duolingo is a widely acclaimed language-learning app powered by AI, helping users master over 40 languages through engaging, gamified lessons. Its intuitive platform breaks learning into digestible modules that reward progress with points, badges, and levels, making it enjoyable and motivating for users of all ages. With a database of over 14 million foods, MyFitnessPal ensures accurate calorie and macro tracking. Though the AI appears to often convincingly fake the nature of the person, it is all still a computational simulation. This analysis of an innovative AI breakthrough is part of my ongoing Forbes column coverage on the latest in AI including identifying and explaining various impactful AI complexities (see the link here). Simultaneously, we’ve seen continued criticisms of this emerging AI era, arguing that things aren’t moving fast enough or that AI isn’t making a dramatic enough impact for companies based on what was promised. CIO Leadership Live with Annette Cooper, Director, Data & Analytics, Graham Construction. “Pinecone Assistant was designed to give developers of all skill levels the ability to benefit from a vector database without having to go through all the steps that working with one normally involves.” In addition, the service comes with instructions about how to customize assistants and agents for different uses and to meet the specific requirements of individual organizations. The challenge is incorporating a set of tools that create probabilistic outcomes that then need to be integrated into business workflows that are largely deterministic in the sense they need to be executed the same way every time. Conducted by the market research firm Centient on behalf of OutSystems, the survey finds that 40% say new apps make up 51% to 100% of all projects, while 41% report these projects make up 26% to 40% of their total development efforts. [1] Generative AI is part of the broader field of AI, which covers, essentially, technologies that seek to allow computers to perform complex tasks that would require intelligence if done by a human. Beyond this, there are deeper concerns about AI’s adherence to the Belmont Report’s principle of respect for persons, which requires that participants should know how their data will be used. Top Generative AI Applications Across Industries Gen AI Applications 2025 – Simplilearn Top Generative AI Applications Across Industries Gen AI Applications 2025. Posted: Mon, 20 Jan 2025 08:00:00 GMT [source] GenAI also generates computer code, user requirements and related documentation, resulting in significant time savings for programmers, Rowan said. The technology brings coding capabilities to nontechnologists, enabling them to bring software features and functions to life quickly and nearly automatically, further speeding the time between ideation to delivery of code. Every organization is feeling increasing pressure to become an AI-powered company to improve service, move faster and gain competitive advantage. This has manifested in a flood of generative AI (GenAI) applications and solutions hitting the market. Pinecone on Wednesday launched Assistant, a service that enables developers to create AI-powered chat and agent-based applications built on data stored in the vendor’s vector database. NeMo Guardrails Offers Open-Source Tools for AI Safety Testing By addressing critical challenges like infrastructure complexity, safety, and vendor independence, the platform empowers developers to focus on innovation. With its user-friendly tools, comprehensive ecosystem, and vision for future enhancements, Llama Stack is poised to become an essential ally for developers navigating the generative AI landscape. Planned enhancements include batch processing for inference and agents, synthetic data generation, and post-training tools. As the adoption of generative AI continues to expand, developers face mounting challenges in building and deploying robust applications. The complexity of managing diverse infrastructure, ensuring compliance and safety, and maintaining flexibility in provider choices has created a pressing need for unified solutions. The RakutenAI 7B family of models, built on Mistral-7B, were trained on English and Japanese datasets, and are available as two different NIM microservices for Chat and Instruct. Rakuten’s foundation and instruct models have achieved leading scores among open Japanese large language models, landing the top average score in the LM Evaluation Harness benchmark carried out from January to March 2024. Organizations should implement clear responsibilities and governance structures for the development, deployment and outcomes of AI systems. In addition, users should be able to see how an AI service works, evaluate its functionality, and comprehend its strengths and limitations. Increased transparency provides information for AI consumers to better understand how the AI model or service was created. Let’s explore the various dimensions of generative AI for healthcare, including its wide-ranging applications, benefits, and real-world use cases. Moreover, its capacity to analyze vast amounts of medical data expedites diagnosis, facilitates drug discovery, and enables the development of predictive models for disease prevention. AI will likely be used to enhance automation, personalize user experiences, and solve complex problems across various industries. More than 600,000 customers trust DigitalOcean to deliver the cloud, AI, and ML infrastructure they need to build and scale their organizations. Adopting continuous improvement and adaptation strategies is essential for maintaining the relevance and effectiveness of generative AI models. This includes incorporating feedback, updating models with new data, and adjusting to changes in user preferences or technological advancements. Such strategies ensure that generative AI applications remain innovative and valuable over time. Text-to-speech and video generation techniques are prime examples of generative AI, revolutionizing how content is produced and consumed. Most AI apps are safe, but it’s important to always review their permissions, privacy policies, and user reviews before downloading to protect your data. Canva is perfect for content creators, marketers, educators, and hobbyists looking to create stunning designs without the need for advanced graphic design skills. In this article, I’ll explore the top 8 AI apps for Android, organized by their specific use cases. One of the new microservices, built for moderating content safety, was trained using the Aegis Content Safety Dataset — one of the highest-quality, human-annotated