John Edwards, Technology Journalist & AuthorMay 14, 20255 Min ReadNicoElNino via Alamy Stock PhotoWhen it comes to AI, yesterday's comprehensive skillset may already be obsolete. Considering AI's ultra-rapid evolution, it's now important to help team members understand and utilize the latest skills without disrupting their already heavy workloads. A mix of hands-on experience and guided learning is the best way to build AI skills, advises Justice Erolin, CTO at software outsourcing company BairesDev. "Traditional education isn't keeping up with the rapid evolution of AI, so microlearning and peer learning programs can be more effective than a university course on AI," he says in an email interview. You no longer need AI experts; you need people who know their way around AI, says Mike Loukides, a vice president at technology and business training firm O'Reilly Media. "With appropriate training, the types of people you need can be developed from the staff you already have," he explains in an online interview. "Look for data engineers -- people who know how to build data pipelines, who know how to analyze data." Keeping Pace The AI landscape changes monthly, observes David Brauchler, technical director and head of AI and ML at cybersecurity consultancy NCC Group. To stay up to date on the latest advances, engineering teams should establish a culture of knowledge sharing and collaboration, he advises in an email interview. "AI improvement is a continual process, not one that occurs piecewise." Related:It's a continual process, Loukides says. "Even if you manage to hire the perfect team of outsiders, their skills will start to go out of date immediately," he observes. "Continuous learning was never more important than it is now." Dive into hands-on projects using pre-built examples with data and evaluation techniques that are readily accessible, recommends Vamsi Duvvuri, technology, media, and telecommunications leader at business advisory firm at EY Americas. "Collaborating with diverse teams across the organization during this stage is critical, especially folks from teams that typically do not work with each other," he explains in an online discussion. A mix of perspectives can reveal blind spots and spark ideas. Consider bringing in challenger hires or even exploring acquihires, Duvvuri suggests. "Bringing in new talent who aren’t entrenched in the status quo can disrupt traditional thinking and introduce fresh, unexpected approaches." Essential Skills New team members often challenge existing processes and help spark innovation, Duvvuri says. "In some cases, if you spot an innovative startup or a talented team, acquiring them -- or even doing an acquihire -- can rapidly inject cutting-edge expertise into your organization," he notes. "This isn't just about filling a gap, it's about shaking up the norm and accelerating learning." Related:Learning how to collaborate with AI is becoming a skill in itself, Erolin observes. "Beyond technical expertise, soft-skill development will help hone the ability to collaborate with AI." Critical thinking, problem-solving, and business knowledge are key to understanding when it makes sense to use AI. A handful of universal skills stand out, Erolin says. These include: Prompt engineering for working with generative AI models. AI model evaluation and fine-tuning to ensure that models align with business goals. AI governance and ethics, especially around bias, privacy, and explainability. MLOps skills to integrate AI into production reliably and at scale. Frameworks such as TensorFlow, PyTorch, or LangChain. Avoiding Mistakes A trap many IT leaders fall into is treating AI training as a one-off event, such as holding a single course or workshop. "If you skip the continuous cycle of learning, reflection, and even disruptive talent acquisition, you risk becoming stagnant and falling behind," Duvvuri warns. "In contrast, a culture that embraces ongoing education, diverse team dynamics, and bold moves, like challenger hires, fosters innovation and resilience." Related:Application architects and developers should consider the intricacies AI introduces to application threat models and skill-up in low-sensitivity environments, Brauchler suggests. "For example, AI presents new concerns related to data risk, including its inability to reliably distinguish between trusted and untrusted content," he says. "Consequently, application designers need to consider new risks that they might not be used to addressing in traditional software stacks." A Final Thought The companies that thrive in the AI era won't be the ones with the fanciest models, but the ones with the most adaptable teams, Erolin says. "The real differentiator is your people's ability to learn, unlearn, and relearn fast." At BairesDev, we've built our success around that belief, Erolin states. "We scale AI talent globally, but we also help our partners build internal cultures that keep pace with innovation. In this space, the only real risk is standing still."About the AuthorJohn EdwardsTechnology Journalist & AuthorJohn Edwards is a veteran business technology journalist. His work has appeared in The New York Times, The Washington Post, and numerous business and technology publications, including Computerworld, CFO Magazine, IBM Data Management Magazine, RFID Journal, and Electronic Design. He has also written columns for The Economist's Business Intelligence Unit and PricewaterhouseCoopers' Communications Direct. John has authored several books on business technology topics. His work began appearing online as early as 1983. Throughout the 1980s and 90s, he wrote daily news and feature articles for both the CompuServe and Prodigy online services. His "Behind the Screens" commentaries made him the world's first known professional blogger.See more from John EdwardsWebinarsMore WebinarsReportsMore ReportsNever Miss a Beat: Get a snapshot of the issues affecting the IT industry straight to your inbox.SIGN-UPYou May Also Like #fastest #way #teams #acquire #skills

What happens when globally renowned artists trade studios for the clatter of machines, industrial dyes, and production lines? At the National Festival of Making in Blackburn, the result is a bold, joyful, and often surprising collision of creativity and craft. Now entering its ninth year, the festival's flagship commissioning programme, Art in Manufacturing, has announced three major new residencies for 2025. This year's headline artists are Matter at Hand, the new studio of Lewis Jones (co-founder of Turner Prize-winning Assemble), graphic artist and community powerhouse Morag Myerscough, and collage and sculpture specialist Liaqat Rasul. Each will embed themselves inside a leading UK manufacturer in Lancashire, creating ambitious site-specific works that celebrate the region's legacy of making while pushing the boundaries of material and form. Held annually in Blackburn town centre, the National Festival of Making draws tens of thousands each July for a free weekend of performances, exhibitions, talks, and installations. Its Art in Manufacturing strand has become a vital national model for artist-industry collaboration, pairing artists with factories to produce original work from heritage processes, specialist tools, and skilled workforces. Since its launch in 2016, over 30 artists have taken part across 20 manufacturers. Lewis Jones. Credit: Niamh Riordan "These commissions have always been about shining a light on the extraordinary creativity behind closed doors," says Elena Jackson, Co-Director and Curator of Art in Manufacturing. "It's an invitation for artists to experiment with materials and scale." This year, she adds, is no exception: "The artists are exploring clay, colour and collage - making new permanent work for Blackburn, turning industrial waste into finely crafted collage, and through an expanded two-year placement, developing in-depth research into sustainable making practices through new architectural and sculptural outcomes." Jones's project, through his new practice Matter at Hand, marks the start of an extended two-year residency inside Darwen Terracotta, one of the UK's leading manufacturers of architectural ceramics. Stationed on the factory floor, Jones is working on an interactive installation inside Blackburn Cathedral that reimagines clay as a sustainable material for the built environment. His installation will showcase new prototypes and sculptural experiments drawn from Darwen's heritage techniques, blending material innovation with architectural storytelling. Morag Myerscough. Credit: Marc Sethi For Morag Myerscough, the festival is a chance to inject her signature burst of positivity into Blackburn's urban fabric. Working with Crown Paints, she will create three new public-facing works, including a permanent mural, participatory workshops, and a garden-inspired installation that speaks to greening the high street. Her 'Colour Factory' takeover of Prism Contemporary promises to be one of the festival's most immersive and energetic moments. Meanwhile, Liaqat Rasul will bring his deeply personal, collage-based practice to Herbert Parkinson, part of the John Lewis Partnership. Through intimate workshops with John Lewis Partners, Rasul will explore themes of memory, identity and community. His final installation of sculptural mobiles will invite audiences to slow down and reflect, celebrating the human stories behind everyday manufacturing. Liaqat Arnold. Credit: Daniel Farmer Photography These three projects exemplify the festival's ethos: that art and making are not separate spheres but overlapping, collaborative forces. By embedding artists within factories, Art in Manufacturing collapses the distance between creative experimentation and real-world production and, in doing so, gives both artists and manufacturers a platform to innovate. A new publication, Radical Pairings, will launch at this year's festival. It documents the programme's history and legacy and features an essay by art critic Elizabeth Fullerton. The essay explores the unusual and inspiring nature of these residencies and the potential of creative partnerships to reframe both industry and art. Art in Manufacturing 2025 will debut at the National Festival of Making on 5–6 July, with installations continuing in venues across Blackburn thereafter. For those curious about what happens when artists roll up their sleeves and step into the engine rooms of British industry, it's not one to miss. Source: https://www.creativeboom.com/news/national-festival-of-making-unveils-2025-art-in-manufacturing-commissions/ #national #festival #making #unveils #art #manufacturing #commissions

Identifying the exact location of a software issue—such as a bug or feature request—remains one of the most labor-intensive tasks in the development lifecycle. Despite advances in automated patch generation and code assistants, the process of pinpointing where in the codebase a change is needed often consumes more time than determining how to fix it. Agent-based approaches powered by large language models (LLMs) have made headway by simulating developer workflows through iterative tool use and reasoning. However, these systems are typically slow, brittle, and expensive to operate, especially when built on closed-source models. In parallel, existing code retrieval models—while faster—are not optimized for the verbosity and behavioral focus of real-world issue descriptions. This misalignment between natural language inputs and code search capability presents a fundamental challenge for scalable automated debugging. SWERank — A Practical Framework for Precise Localization To address these limitations, Salesforce AI has introduced SWERank, a lightweight and effective retrieve-and-rerank framework tailored for software issue localization. SWERank is designed to bridge the gap between efficiency and precision by reframing localization as a code ranking task. The framework consists of two key components: SWERankEmbed, a bi-encoder retrieval model that encodes GitHub issues and code snippets into a shared embedding space for efficient similarity-based retrieval. SWERankLLM, a listwise reranker built on instruction-tuned LLMs that refines the ranking of retrieved candidates using contextual understanding. To train this system, the research team curated SWELOC, a large-scale dataset extracted from public GitHub repositories, linking real-world issue reports with corresponding code changes. SWELOC introduces contrastive training examples using consistency filtering and hard-negative mining to ensure data quality and relevance. Architecture and Methodological Contributions At its core, SWERank follows a two-stage pipeline. First, SWERankEmbed maps a given issue description and candidate functions into dense vector representations. Using a contrastive InfoNCE loss, the retriever is trained to increase the similarity between an issue and its true associated function while reducing its similarity to unrelated code snippets. Notably, the model benefits from carefully mined hard negatives—code functions that are semantically similar but not relevant—which improve the model’s discriminative capability. The reranking stage leverages SWERankLLM, a listwise LLM-based reranker that processes an issue description along with top-k code candidates and generates a ranked list where the relevant code appears at the top. Importantly, the training objective is adapted to settings where only the true positive is known. The model is trained to output the identifier of the relevant code snippet, maintaining compatibility with listwise inference while simplifying the supervision process. Together, these components allow SWERank to offer high performance without requiring multiple rounds of interaction or costly agent orchestration. Insights Evaluations on SWE-Bench-Lite and LocBench—two standard benchmarks for software localization—demonstrate that SWERank achieves state-of-the-art results across file, module, and function levels. On SWE-Bench-Lite, SWERankEmbed-Large (7B) attained a function-level accuracy@10 of 82.12%, outperforming even LocAgent running with Claude-3.5. When coupled with SWERankLLM-Large (32B), performance further improved to 88.69%, establishing a new benchmark for this task. In addition to performance gains, SWERank offers substantial cost benefits. Compared to Claude-powered agents, which average around $0.66 per example, SWERankLLM’s inference cost is $0.011 for the 7B model and $0.015 for the 32B variant—delivering up to 6x better accuracy-to-cost ratio. Moreover, the 137M parameter SWERankEmbed-Small model achieves competitive results, demonstrating the framework’s scalability and efficiency even on lightweight architectures. Beyond benchmark performance, experiments also show that SWELOC data improves a broad class of embedding and reranking models. Models pre-trained for general-purpose retrieval exhibited significant accuracy gains when fine-tuned with SWELOC, validating its utility as a training resource for issue localization tasks. Conclusion SWERank introduces a compelling alternative to traditional agent-based localization approaches by modeling software issue localization as a ranking problem. Through its retrieve-and-rerank architecture, SWERank delivers state-of-the-art accuracy while maintaining low inference cost and minimal latency. The accompanying SWELOC dataset provides a high-quality training foundation, enabling robust generalization across various codebases and issue types. By decoupling localization from agentic multi-step reasoning and grounding it in efficient neural retrieval, Salesforce AI demonstrates that practical, scalable solutions for debugging and code maintenance are not only possible—but well within reach using open-source tools. SWERank sets a new bar for accuracy, efficiency, and deployability in automated software engineering. Check out the Paper and Project Page. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 90k+ ML SubReddit. Here’s a brief overview of what we’re building at Marktechpost: ML News Community – r/machinelearningnews (92k+ members) Newsletter– airesearchinsights.com/(30k+ subscribers) miniCON AI Events – minicon.marktechpost.com AI Reports & Magazines – magazine.marktechpost.com AI Dev & Research News – marktechpost.com (1M+ monthly readers) Partner with us Asif RazzaqWebsite |  + postsBioAsif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.Asif Razzaqhttps://www.marktechpost.com/author/6flvq/A Step-by-Step Guide to Build a Fast Semantic Search and RAG QA Engine on Web-Scraped Data Using Together AI Embeddings, FAISS Retrieval, and LangChainAsif Razzaqhttps://www.marktechpost.com/author/6flvq/A Step-by-Step Guide to Deploy a Fully Integrated Firecrawl-Powered MCP Server on Claude Desktop with Smithery and VeryaXAsif Razzaqhttps://www.marktechpost.com/author/6flvq/OpenAI Releases HealthBench: An Open-Source Benchmark for Measuring the Performance and Safety of Large Language Models in HealthcareAsif Razzaqhttps://www.marktechpost.com/author/6flvq/PrimeIntellect Releases INTELLECT-2: A 32B Reasoning Model Trained via Distributed Asynchronous Reinforcement Learning Source: https://www.marktechpost.com/2025/05/13/agent-based-debugging-gets-a-cost-effective-alternative-salesforce-ai-presents-swerank-for-accurate-and-scalable-software-issue-localization/ #agentbased #debugging #gets #costeffective #alternative #salesforce #presents #swerank #for #accurate #and #scalable #software #issue #localization

Apple’s Machine Learning team, in collaboration with researchers from Nanjing University and The Hong Kong University of Science and Technology, has announced an interesting 3D AI model called Matrix3D. This so-called Large Photogrammetry Model is able to reconstruct 3D objects and scenes from just a few 2D photos, but with a big difference from current pipelines. Here’s why this is a big deal. First things first: photogrammetry. It uses photographs to make measurements in order to create 3D models or maps. Currently, this process involves using different models for steps like pose estimation and depth prediction, which can lead to inefficiencies and errors. Matrix3D simplifies this by doing it all in one go. It takes in images, camera parameters (such as angle and focal length), and depth data, and processes them using a unified architecture. This not only simplifies the workflow but also improves accuracy. Even more interesting is how the model was trained. Researchers used a masked learning strategy, very similar to early Transformer-based AI systems that helped pave the way for the first versions of ChatGPT. They randomly hid parts of the input data during the training process, which forced Matrix3D to basically learn how to fill in the gaps. This technique is key because it enables Matrix3D to train effectively even with smaller or incomplete datasets. The results are impressive. With just three input images, Matrix3D can generate detailed 3D reconstructions of objects and even entire environments, which obviously could have very interesting applications for immersive headsets like the Apple Vision Pro. The researchers made the source code for Matrix3D available on GitHub, and published their paper on arXiv. They also created a website where you can watch more sample videos and even interact with a few point cloud recreations of objects and environments. Add 9to5Mac to your Google News feed.  FTC: We use income earning auto affiliate links. More.You’re reading 9to5Mac — experts who break news about Apple and its surrounding ecosystem, day after day. Be sure to check out our homepage for all the latest news, and follow 9to5Mac on Twitter, Facebook, and LinkedIn to stay in the loop. Don’t know where to start? Check out our exclusive stories, reviews, how-tos, and subscribe to our YouTube channel Source: https://9to5mac.com/2025/05/13/apple-study-3d-objects-from-images/ #new #apple #model #generates #scenes #from #just #three #images

Brace yourself, my fellow Android-appreciating amigos: By this time next week, we’re gonna be positively drowning in all things AI. All right — to be fair, we already are fairly suffocated by the scent of generative AI (genAI) these days. But with Google’s annual I/O developers’ conference kickin’ off this coming Tuesday, a whole new wave of over-the-top promises is about to hit hard. At this point, in fact, signs suggest the conference — which traditionally has featured Android and other associated areas as key parts of its keynote — will revolve mostly around Gemini and (a) breathless hype around feats the generative AI technology can theoretically achieve along with (b) demos of things the system can actually do but with ample factual errors and counterproductive inconsistencies (that conveniently won’t be mentioned as part of the conversation). For those of us still living in a land where accuracy matters — and if you’re using any of this stuff for professional purposes in particular, my goodness, I hope you’re among us — all this genAI gobbledygook should be interesting mostly just from a limited, carefully controlled perspective that doesn’t exactly jibe with how tech companies are fighting to framing it. The real meaningful progress here in the Android arena comes down to two key areas that have nothing to do with Gemini or any of the high-profile generative-AI ballyhoo we’ll be hearing about incessantly in the days ahead. If you’re relying on Android for your professional and/or personal life, these are the areas worth watching. [Get fresh Android insight in your inbox with my free Android Intelligence newsletter. Three new things to know and try each Friday!] 1. Stronger Android security It may not always be the sexiest subject around, but it’s hard to argue with the fact that Android security is one of the most important parts of the platform in front of us. And this year, amidst all the Gemini and genAI jibber-jabber, El Googeroo’s cookin’ up some significant improvements around Android security that’ll bring a big boost to our devices’ defenses. Now, for my standard caveat: Android security is far less scary than most headlines make it out to be. The operating system has long sported numerous layers of built-in protection, and the odds of encountering anything truly troubling in the real world are shockingly slim. (Consider: When’s the last time you or anyone you knew had a run-in with any of that nasty “Android malware” we’re always hearing about?) Generally speaking, you’ve really gotta go out of your way — and/or exhibit a complete lack of common sense — to see a serious problem. Even so, extra security can obviously only be a good thing, for business and casual use alike. And as we speak, Google’s sautéing up a slew o’ new security measures that’ll soon be sliding into our lives — including: A new Advanced Protection Mode that enables the most secure possible settings across the operating system itself as well as system-level apps and even third-party apps with a single simple switch An Android Intrusion Detection system that creates an encrypted, locally stored log of system actions and network activity and allows you to search it for potential weak points if you spot any signs of suspicious activity An elevated in-call scam detection option that seeks out signs of someone trying to trick you into sharing sensitive info (including banking access) and stops you before it’s too late A beefier on-device scam protection setup for sensing and warning you about all sorts of scams within messages, with privately and entirely local on-device processing Stronger protections around the factory reset and remote lock processes as well as one-time password access More extensive ongoing scans of already-installed apps to safeguard against any deceptive behavior A security-minded auto-restart system that automatically restarts a device — thus re-encrypting all of its data and requiring a password to unlock and get into anything — anytime it’s been inactive for three consecutive days And expanded access to an Identity Check option that requires biometric authentication to change any sensitive system security settings Some of these elements may be included in the upcoming Android 16 update, while others could show up separately via smaller subsequent rollouts. (Google sometimes even sends these sorts of improvements out through under-the-hood updates to Play-Store-housed Android system elements, which means they reach every device worldwide at the same time — without any reliance on notoriously unreliable device-makers to do the lifting. That happened just recently, in fact, with a new improvement that automatically revokes permissions for any apps that are deemed to be dangerous.) However and whenever they reach us, though, they’re all actively in the works and headed our way. And they’re all excellent illustrations of why, even outside of any more apparent surface-level considerations, Android system upgrades absolutely do matter and should always be a key consideration in any device-buying decision. 2. Smarter Android efficiency Aside from the important but not exactly visible under-the-hood enhancements, Google’s got a trio of truly tantalizing twists under development for Android — and they’re all things you’ll absolutely notice and almost certainly appreciate. First and most exciting for me, personally, is the advent of a platform-wide dock-style taskbar that could completely reimagine how we multitask and get around our devices. It’s seemingly the same concept introduced with the first Pixel Fold and Pixel Tablet and available in a limited capacity, in certain large-screen environments, already. If you’ve ever used a computer of any kind, it’ll immediately feel familiar. See for yourself: The Android taskbar, as seen on Google’s Pixel 9 Pro Fold phone.JR Raphael, IDG That’s it — the bar at the bottom of the screen. But mundane as it may seem, man alive, lemme tell ya: It makes a world of difference in your day-to-day Android experience. That bar, which in its current form can either be summoned on demand with a special swipe gesture or set to remain visible at all times, makes it as easy as can be to pull up any app, anytime — without having to first galumph back to your home screen and wade around to find it. You can hop instantly to any app you’ve got set as a favorite, swiftly switch to any app you’ve used recently, or access your entire app drawer on demand right then and there, even, with just one more tap. Maybe even more interesting yet is the way the taskbar puts Android’s long-out-of-sight and oft-forgotten screen-splitting system front and center for the first time in — well, ever. Just press and hold any icon in the taskbar and drag it up into the main screen area, and…poof: You’ve got both apps visible together. srcset="https://b2b-contenthub.com/wp-content/uploads/2024/09/google-pixel-9-pro-fold-taskbar.webp?quality=50&strip=all 600w, https://b2b-contenthub.com/wp-content/uploads/2024/09/google-pixel-9-pro-fold-taskbar.webp?resize=289%2C300&quality=50&strip=all 289w, https://b2b-contenthub.com/wp-content/uploads/2024/09/google-pixel-9-pro-fold-taskbar.webp?resize=162%2C168&quality=50&strip=all 162w, https://b2b-contenthub.com/wp-content/uploads/2024/09/google-pixel-9-pro-fold-taskbar.webp?resize=81%2C84&quality=50&strip=all 81w, https://b2b-contenthub.com/wp-content/uploads/2024/09/google-pixel-9-pro-fold-taskbar.webp?resize=463%2C480&quality=50&strip=all 463w, https://b2b-contenthub.com/wp-content/uploads/2024/09/google-pixel-9-pro-fold-taskbar.webp?resize=347%2C360&quality=50&strip=all 347w, https://b2b-contenthub.com/wp-content/uploads/2024/09/google-pixel-9-pro-fold-taskbar.webp?resize=241%2C250&quality=50&strip=all 241w" width="600" height="622" sizes="(max-width: 600px) 100vw, 600px">The Android taskbar lets you start a split screen simply by dragging an icon up.JR Raphael, IDG I’ve been begging Google to bring this same smart setup to all Android environments, regardless of their screen size, since we first saw the thing in action a couple years back. (You can technically force it to happen on any Android device, incidentally, but it requires some crafty configuring and awkward compromises.) Now, it looks like the company’s listening and we’ll likely see this one in front of us everywhere before long, even if the development hasn’t officially been announced just yet. If that isn’t enough, signs suggest Google’s also cookin’ up a new native Android Desktop Mode that’d let you plug a phone into an external monitor — with a keyboard and mouse connected — and use it like an actual computer. You’d see a fully functional desktop-style interface on the monitor while your phone remains in its standard usable state. It’s similar to systems certain Android device-makers are already offering, but as a native feature built into Android itself, it’d be more broadly available, standardized, and also actively (and consistently) developed and supported. Again, this one isn’t yet official, but it’s plainly being developed out in the open and where anyone can see it. Last but not least, a rather bold new design change is now officially comin’ our way — one that brings bulky elements, bright colors, and all sorts of wacky fonts into Android’s exterior. Like any interface evolution, it’s bound to be divisive. (To wit: I asked readers of my Android Intelligence newsletter what they thought about the look last Friday, following an early leak of the info. As of this writing, 17% say they hate it, 14% say they love it, and everyone else falls somewhere in the middle.) Google, for its part, is convinced the updated visuals will result in an easier-to-use, more efficient Android interface — with “time to tap on key actions decrease[d] by seconds” compared to the current approach. Only time will tell if that holds true for all of us, but combined with all the other incoming elements we just went over, it doesn’t seem like a stretch to say that the Android experience we know and love is on the brink of a near-total reinvention. And despite the all-consuming AI focus we’re certain to see at Google I/O next week, none of this has anything to do with Gemini. Want even more Googley knowledge? Join my Android Intelligence newsletter to get practical tips, personal recommendations, and plain-English perspective on the news that matters. Source: https://www.computerworld.com/article/3984225/android-reinvention-ai.html #androids #for #reinvention #and #has #nothing #with

Sr Manager - QAKraftonBengaluru2 hours agoApply[ WHO WE ARE ]Based out of South Korea, KRAFTON, Inc. is committed to discovering and globally publishing games that deliver a uniquely fun experience with global production studios known for distinctive creatives.Founded in 2007, KRAFTON consists of PUBG STUDIOS, Bluehole Studio, RisingWings, Striking Distance Studios, Dreamotion, Unknown Worlds, 5minlab, Neon Giant, KRAFTON Montréal Studio and ReLU Games, each trying to innovate the enjoyment of games through continuously embracing challenges and new technologies, expanding our platforms and services to win the hearts of more fans.KRAFTON India has established itself as a trailblazer in the gaming industry, driven by its unwavering commitment to delivering distinctive and enjoyable gaming experiences. At the heart of KRAFTON India's success lies a deep understanding of the Indian gaming community.The company takes immense pride in its premier entertainment properties that include highly popular titles like BATTLEGROUNDS MOBILE INDIA (BGMI), Road To Valor: Empires, Defense Derby, New State Mobile. These games have not only captured the hearts of Indian players but have also played a pivotal role in fostering a thriving e-sports ecosystem in the country.With a focus on India, KRAFTON is dedicated to nurturing the gaming and start-up ecosystem. In line with this commitment, KRAFTON initiated the KRAFTON India Gaming Incubator (KIGI) in October 2023. KIGI aims to support 6-10 teams annually with program durations ranging from six months to one year. Additionally, KRAFTON India has invested over $150 million in the Indian market in the past two years and has committed an additional $150 million to the Indian start-up ecosystem over the next three years.[About the role]As the Senior QA Manager at KRAFTON India, you will lead publishing QA efforts for titles released in the Indian market. Acting as a key mid-level manager, you will oversee collaboration processes, manage QA schedules and resources, define test strategies, and support overall team operations. A central part of your role is to ensure smooth coordination between QA and other departments to deliver high-quality game experiences.[Responsibilities]Define and implement overall QA strategies and test processes for publishing titles.Manage QA schedules and make key decisions related to test planning and execution.Develop and review test plans and test cases to ensure thorough coverage.Collaborate with cross-functional teams to clarify and define testable requirements.Lead the analysis and root-cause investigation of issues related to product quality and collaboration.Establish an effective QA working environment through documentation, game analysis resources, and QA history tracking.Work closely with HQ QA Leads to ensure alignment and efficient collaboration.[Requirements]10+ years of experience in game QA, with at least 3 years in a QA management role.Solid understanding of game development pipelines across multiple platforms (mobile, PC, console).In-depth knowledge of QA methodologies, test tools, and processes.Strong analytical and problem-solving skills.Excellent communication and leadership capabilities.Hands-on experience with QA for Android, iOS, PC, and console platforms.[Preferences]Experience as a QA Lead during full game development and release cycles.Familiarity with performance testing and security testing tools.Certification in QA-related fields (e.g., ISTQB).Experience working with global or multicultural teams. Create Your Profile — Game companies can contact you with their relevant job openings. Apply Source: https://gamejobs.co/Sr-Manager-QA-at-Krafton #manager #krafton

In 2022, archeologists unearthed what appeared to be the oldest intact reed boat. It was found buried in a sediment-filled former channel of the Euphrates River, near the ancient city of Uruk, in the Mesopotamian floodplain of what is now Iraq.“The findings provide valuable insights into the utilization of Uruk's waterways, the evolution of its floodplain, and the broader processes that shaped early urbanization in Mesopotamia,” according to the conference paper.Analyzing the Ancient BoatAlthough the researchers had a rough estimate of the era the boat probably hailed from, they had difficulty giving it a more exact date, because its materials were contaminated by bitumen.So, a group of scientists from the German Archaeological Institute turned to different technique, they explained when they announced the boat’s age at a European Geosciences Union meeting. They tapped into multiple materials surrounding it, rather than dating the reeds themselves.“The excavation revealed that the boat was embedded in sand layers, surrounded by fine-grained floodplain sediments that are rich in artifacts and faunal remains,” according to the paper.Understanding the Boat's AgeThat collection of clues meant they could use multiple methods to home in on the boat’s age. On the sediment, they applied a technique to determine when it was last exposed to sunlight. On the bone fragments, they turned to the radiocarbon dating that they had originally intended to perform on the boat itself. And on the ceramic fragments, they used several pieces of archeological evidence to see where they fit on the timeline.Taken together, these pieces of evidence put the boat’s age at about 3,600 hundred years — give or take a few hundred years in either direction. Knowing the boat’s age allows archeologists to put it into context with other discoveries from that era.Mesopotamia SocietyRemnants of comparable craft have been found in Kuwait and Egypt. But unlike them, this Mesopotamian boat remains relatively intact. Archeologists are considering restoring it, but few, if any people, have expertise.Although Mesopotamia, often called the “Cradle of Civilization” is well studied — from the frequency its citizens kissed to the way they recorded business transactions — many mysteries remain — including why its society faded away.Article SourcesOur writers at Discovermagazine.com use peer-reviewed studies and high-quality sources for our articles, and our editors review for scientific accuracy and editorial standards. Review the sources used below for this article:EGU General Assembly 2025. Timing of the First Mesopotamian Boat Unearthed in a Euphrates Paleochannel near Uruk (Iraq)Before joining Discover Magazine, Paul Smaglik spent over 20 years as a science journalist, specializing in U.S. life science policy and global scientific career issues. He began his career in newspapers, but switched to scientific magazines. His work has appeared in publications including Science News, Science, Nature, and Scientific American. Source: https://www.discovermagazine.com/the-sciences/a-3-600-year-old-reed-boat-provides-clues-to-early-urbanization-in #3600yearold #reed #boat #provides #clues #early #urbanization #mesopotamia

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Generative AI is creating a digital diaspora of techniques, technologies and tradecraft that everyone, from rogue attackers to nation-state cyber armies trained in the art of cyberwar, is adopting. Insider threats are growing, too, accelerated by job insecurity and growing inflation. All these challenges and more fall on the shoulders of the CISO, and it’s no wonder more are dealing with burnout. In Part 1: We explored how gen AI is reshaping the threat landscape, accelerating insider threats and putting unprecedented pressure on cybersecurity teams. Insider-driven risks, shadow AI usage and outdated detection models are forcing CISOs to rethink their defenses.Now, in Part 2, we turn to the solutions — how gen AI can help combat burnout across security operations centers (SOCs), enable smarter automation and guide CISOs through a 90-day roadmap to secure their enterprises against evolving threats. Battling burnout with gen AI deserves to be a 2025 CISO priority Nearly one in four CISOs consider quitting, with 93% citing extreme stress, further proving that burnout is creating increasingly severe operational and human risks. Gartner’s most recent research links burnout to decreased team efficiency and overlooked security tasks that often become vulnerabilities. Unsurprisingly, 90% of CISOs identify burnout as one of the main barriers that stand in the way of their teams getting more accomplished and using the full extent of their skills. How bad is burnout across cybersecurity and SOC teams? The majority of CISOs, 65%, say that burnout is a severe impediment to maintaining effective security operations. Forrester adds that 36% of the cybersecurity workforce are categorized as “Tired Rockstars,” or individuals who remain highly engaged but are on the brink of burnout. This emphasizes the critical need to address mental health and workload management proactively.​ SOC analysts endure heavy workloads that often turn severe when they have to monitor, analyze and aggregate insights from an average of over 10,000+ alerts a day. Chronic stress and not having enough control over their jobs lead to high turnover, with 65% considering leaving their careers. Ivanti’s 2024 Digital Employee Experience (DEX) Report underscores a vital cybersecurity link, noting that 93% of professionals agree improved DEX strengthens security, yet just 13% prioritize it. Ivanti SVP Daren Goeson told VentureBeat in a recent interview that “organizations often lack effective tools to measure digital employee experience, significantly slowing security and productivity initiatives.” SOC teams are particularly hard hit by burnout. While AI can’t solve the entire challenge, it can help automate SOC workflows and accelerate triage. Forrester is urging CISOs to think beyond automating existing processes and move forward with rationalizing security controls, deploying gen AI within existing platforms. Jeff Pollard, VP at Forrester, writes: “The only way to deal with the volatility your organization encounters is to simplify your control stack while identifying unnecessary duplicate spend and gen AI can boost productivity, but negotiating its pricing strategically will help you achieve more with less.” There are over 16 vendors of new-gen AI-based apps aimed at helping SOC teams that are in a race against time every day, especially when it comes to containing breakout times. CrowdStrike’s recent global threat report emphasizes why SOCs need to always have their A-game, as adversaries now break out within 2 minutes and 7 seconds after gaining initial access. Their recent introduction of Charlotte AI Detection Triage has proven capable of automating alert assessment with over 98% accuracy. It cuts manual triage by more than 40 hours per week, all without losing control or precision. SOCs increasingly lean on AI copilots to fight signal overload and staffing shortfalls. VentureBeat’s Security Copilot Guide (Google Sheet) provides a complete matrix with 16 vendors’ AI security copilots. What needs to be on every CISO’s roadmap in 2025 Cybersecurity leaders and their teams have significant influence on how, when and what gen AI applications and platforms their enterprises invest in. Gartner’s Phillip Shattan writes that “when it comes to generation AI-related decisions, SRM leaders wield significant influence, with over 70% reporting that cybersecurity has some influence over the decisions they make.” With so much influence on the future of gen AI investment in their organizations, CISOs need to have a solid framework or roadmap against which to plan. VentureBeat is seeing more roadmaps comparable to the one structured below for ensuring the integration of gen AI, cybersecurity and risk management initiatives. The following is a guideline that needs to be tailored to the unique needs of a business: Days 0–30: Establish core cybersecurity foundations 1. Set the goal of defining the structure and role of an AI governance framework Define formal AI policies outlining responsible data use, model training protocols, privacy controls and ethical standards. Vendors to consider: IBM AI Governance, Microsoft Purview, ServiceNow AI Governance, AWS AI Service Cards If not already in place, deploy real-time AI monitoring tools to detect unauthorized usage, anomalous behaviors and data leakage from models. Recommended platforms: Robust Intelligence, CalypsoAI, HiddenLayer, Arize AI, Credo AI, Arthur AI Train SOC, security and risk management teams on the AI-specific risks to alleviate any conflicts over how AI governance frameworks are designed to work. 2. If not already in place, get a solid Identity and Access Management (IAM) platform in place Keep building a business case for zero trust by illustrating how improving identity protection helps protect and grow revenue. Deploy a robust IAM solution to reinforce identity protection and revenue security. Top IAM platforms: If not already done, immediately conduct comprehensive audits of all user identities, focusing particularly on privileged access accounts. Enable real-time monitoring for all privileged access accounts and delete unused accounts for contractors. Implement strict least-privilege access policies, multi-factor authentication (MFA) and continuous adaptive authentication based on contextual risk assessments to strengthen your zero-trust framework. Leading Zero-Trust solutions include CrowdStrike Falcon Identity Protection, Zscaler Zero Trust Exchange, Palo Alto Networks Prisma Access, Cisco Duo Security and Cloudflare Zero Trust. Establish real-time monitoring and behavioral analytics to identify and reduce insider threats rapidly. Insider threat detection leaders: Proofpoint Insider Threat Management, Varonis DatAdvantage, Forcepoint Insider Threat, DTEX Systems, Microsoft Purview Insider Risk Management. Days 31–60: Accelerate Proactive Security Operations 1. Replace manual patch workflows with an automated patch management systems Your organization needs to move beyond fire drills and severity-based patch cycles to a continuous, real-time vulnerability monitoring and patch deployment strategy. AI is helping cut the risks of breaches with patch management. Six in ten breaches are linked to unpatched vulnerabilities. The majority of IT leaders responding to a Ponemon Institute survey, 60%, say that one or more of the breaches potentially occurred because a patch was available for a known vulnerability but not applied in time. Leading automated patch management vendors: Ivanti Neurons for Patch Management, Qualys Patch Management, Tanium Patch Management, CrowdStrike Falcon Spotlight, Rapid7 InsightVM. Implement automated tools prioritizing patches based on active exploitation, threat intelligence insights and business-critical asset prioritization. Establish transparent processes for immediate response to emerging threats, drastically reducing exposure windows. 2. Initiate comprehensive Cyber Risk Quantification (CRQ) If not already in progress in your organization, start evaluating the value of CRQ frameworks in improving how cybersecurity risks are measured and communicated in financial and business impact terms. Trusted CRQ solutions: BitSight, SecurityScorecard, Axio360, RiskLens, MetricStream, Safe Security, IBM Security Risk Quantification Services. Test out a CRQ by creating a detailed risk dashboard for executives and stakeholders, linking cybersecurity investments directly to strategic business outcomes. Conduct regular CRQ assessments to inform proactive security spending and resource allocation decisions clearly and strategically. Days 61–90: Keep optimizing security efficiency to fuel greater team resilience 1. Consolidate and Integrate Security Tools Audit existing cybersecurity tools, eliminating redundancies and streamlining capabilities into fewer, fully integrated platforms. Comprehensive integrated platforms: Palo Alto Networks Cortex XDR, Microsoft Sentinel, CrowdStrike Falcon Platform, Splunk Security Cloud, Cisco SecureX, Trellix XDR, Arctic Wolf Security Operations Cloud. Check for strong interoperability and reliable integration among cybersecurity tools to improve threat detection, response times and overall operational efficiency. Regularly review and adjust consolidated toolsets based on evolving threat landscapes and organizational security needs. 2. Implement structured burnout mitigation and automation Starting in the SOC, leverage AI-driven automation to offload repetitive cybersecurity tasks, including triage, log analysis, vulnerability scanning and initial threat triage, significantly reducing manual workloads. Recommended SOC automation tools: CrowdStrike Falcon Fusion, SentinelOne Singularity XDR, Microsoft Defender & Copilot, Palo Alto Networks Cortex XSOAR, Ivanti Neurons for Security Operations Establish structured recovery protocols, mandating cooldown periods and rotation schedules after major cybersecurity incidents to reduce analyst fatigue. Define a balanced, regular cadence of ongoing cybersecurity training, mental well-being initiatives, and institutionalized burnout mitigation practices to sustain long-term team resilience and efficiency. Automation and burnout mitigation vendors: Tines, Torq.io, Swimlane, Chronicle Security Operations Suite (Google Cloud), LogicHub SOAR+, Palo Alto Networks Cortex XSOAR Conclusion With modest budget and headcount increases, CISOs and their teams are being called to defend more threat vectors than ever. Many tell VentureBeat it’s a continual balancing act that demands more time, training, and trade-offs on which legacy apps stay and which go, all defining how their future tech stack will look. CISOs who see gen AI as a strategic technology that can help unify and close gaps in security infrastructure are thorough in their vetting of new apps and tools before they go into production. While gen AI continues to fuel new adversarial AI techniques and tradecraft, cybersecurity vendors respond by accelerating the development of next-generation products. Paradoxically, the more advanced threatcraft becomes with adversarial AI, the more critical it becomes for defenders adopting AI to pursue and perfect human-in-the-middle designs that can flex and adapt to changing threats. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured. Source: https://venturebeat.com/ai/what-your-tools-miss-at-213-am-how-gen-ai-attack-chains-exploit-telemetry-lag-part-2/ #what #your #tools #miss #how #gen #attack #chains #exploit #telemetry #lag #part