what the hell, that's amazing! MACHIN:infinity compositor setup #b3d

New Article: ZBrush Eating Up Your Disk Space? Heres How To Fix It https://flipnm.co/3FoLe3e

Aurthur Cayley just dropped these 15 gorgeous Anime hairstyles on FlippedNormals! Get them here https://flipnm.co/15AnimeHairstyles

Insurrection Barbie:@SenSchumer Are you insane? Every single person in America has an ID. You cannot do anything, including get Sudafed at Walgreens without an ID.

RTNukeRe @elonmusk The evolution of Schumer

Photo Credit: Samsung Samsung Galaxy A55 5G was launched with One UI 6.1 based on Android 14 out-of-the-box HighlightsSamsung has started rolling out the One UI 7 Beta for Galaxy A55 5GThe update is said to be limited to SKT Telecom subscribersUsers need to sign up via the Samsung Members app for the programmeAdvertisementSamsung is said to have commenced the rollout of the One UI 7 Beta for the Galaxy A55 5G. According to a community forum post, select users in South Korea who are enrolled with a particular mobile network provider are receiving the Android 15-based update. It requires them to sign up for Samsung's One UI Beta programme. With this move, the Galaxy A55 5G becomes the latest device to get One UI 7 Beta following the update's rollout for the Galaxy S23 series, Galaxy Z Fold 6, and Galaxy Z Flip 6 last month.One UI 7 Beta for Samsung Galaxy A55 5GA post on the Samsung South Korea's community forum reveals that Samsung Galaxy A55 5G users are now receiving the One UI 7 Beta update in the country. However, its rollout seems to be limited to consumers who have SKT Telecom as their mobile network provider, based on a machine translation of the text originally in Korean.In line with the beta updates for other smartphones, the One UI 7 Beta programme for the Galaxy A55 5G requires users to sign up for it via the Samsung Members app. The company emphasises that the features part of the beta update may vary depending on the country or region the user resides in.It supports a total of 29 languages including local dialects, such as Arabic, Chinese, English (Australia, India, United Kingdom, United States), Dutch, French (Canada, France), German, Hindi, Spanish (Mexico, Spain, United States), and Vietnamese.This development builds upon the announcement made by the South Korean technology conglomerate's Indian arm last month. It expanded the One UI 7 Beta programme to include the Samsung Galaxy S23 series, Galaxy Tab S10 series and indeed, the Galaxy A55 5G. Although its exact release date was yet to be announced, the recent post on Samsung's community forum suggests that the company may have commenced its rollout.Notably, the Android 15-based One UI 7 was first introduced with the Galaxy S25 series in January. It introduces visual enhancements with more customisation options, a new notification system dubbed Now Bar, and redesigned One UI widgets, along with a host of new features powered by Galaxy AI Samsung's artificial intelligence (AI) suite. However, it remains unclear which of these features are making their way to the Galaxy A55 5G in South Korea.REVIEWKEY SPECSNEWSDesignDisplaySoftwarePerformanceBattery LifeCameraValue for MoneyGoodModern designGood displayFeature-packed softwareFantastic battery lifeGood primary cameraBadUnderwhelming ultra-wide angle cameraCPU performance lags behind the competitionOpts you in to Glance with every updateSoftware updates add unsolicited appsVery priceyRead detailed Samsung Galaxy A55 5G reviewDisplay 6.60-inchFront Camera 32-megapixelRear Camera 50-megapixel + 12-megapixel + 5-megapixelRAM 8GB, 12GBStorage 128GB, 256GBBattery Capacity 5000mAhOS Android 14Resolution 2340x1080 pixels For the latest tech news and reviews, follow Gadgets 360 on X, Facebook, WhatsApp, Threads and Google News. For the latest videos on gadgets and tech, subscribe to our YouTube channel. If you want to know everything about top influencers, follow our in-house Who'sThat360 on Instagram and YouTube. Further reading: One UI 7, One UI 7 Beta, Samsung Galaxy A55 5G, Samsung, Android 15 Shaurya Tomer Shaurya Tomer is a Sub Editor at Gadgets 360 with 2 years of experience across a diverse spectrum of topics. With a particular focus on smartphones, gadgets and the ever-evolving landscape of artificial intelligence (AI), he often likes to explore the industry's intricacies and innovations whether dissecting the latest smartphone release or exploring the ethical implications of AI advancements. In his free time, he often embarks on impromptu road trips to unwind, recharge, and ...More Related Stories

Midjourney released its latest image-generation artificial intelligence (AI) model, V7, on Friday. The V7 AI model is currently available in an alpha version, and the company is currently letting its user base test the model's capability. Arriving nearly a year after its predecessor V6, the V7 Alpha model is also the first in the AI firm's lineup to have personalisation turned on by default. The foundation model also introduces a new Draft Mode, which is said to cost half as much as the standard mode while offering 10 times the speed.Midjourney's V7 Brings New Modes and FeaturesIn a post on X (formerly known as Twitter), the official handle of Midjourney announced the release of V7. Compared to V6, the image generation model has a higher text prompt adherence, and both the image quality and textures are better, the company added. The AI firm also claimed that the coherence among different elements is higher than its predecessor.Midjourney highlighted that V7 is its first model to have model personalisation turned on by default. It means that before getting access to the AI model, users will have to rate a large number of images to build their personalisation profile. This profile enables the Midjourney models to understand the user's preference, and it can adjust the outputs accordingly. However, once a user gets access to V7, they can turn personalisation on or off.The company is also introducing a new feature dubbed Draft Mode with this model. Draft Mode is said to be half the cost of the standard mode and renders images at 10 times its speed. It is essentially an iteration mode where users can give the model multiple prompts to get the desired output and to make inline edits to images. The mode supports voice input for a conversational experience.Users can either click Draft mode on the web client or add --draft at the end of the prompt to activate the mode. Midjourney highlighted that draft mode images are lower quality than the standard mode, but the model behaviour and aesthetic generation are consistent.The V7 image generation model is available in Turbo and Relax variants. Notably, Turbo mode costs twice as much as standard output generation. Additionally, the V7 model currently does not support upscaling, editing, and retexture-related tasks, and it redirects to V6 to complete these tasks.Midjourney also plans to release new features for the AI model every week or two for the next 60 days. One feature in the roadmap includes character and object reference. For the latest tech news and reviews, follow Gadgets 360 on X, Facebook, WhatsApp, Threads and Google News. For the latest videos on gadgets and tech, subscribe to our YouTube channel. If you want to know everything about top influencers, follow our in-house Who'sThat360 on Instagram and YouTube. Further reading: Midjourney, AI, Artificial Intelligence, AI Model, LLM, Image generator Akash Dutta Akash Dutta is a Senior Sub Editor at Gadgets 360. He is particularly interested in the social impact of technological developments and loves reading about emerging fields such as AI, metaverse, and fediverse. In his free time, he can be seen supporting his favourite football club - Chelsea, watching movies and anime, and sharing passionate opinions on food. More Related Stories

Developing Critical Thinking and Problem-Solving Skills2 min readJust now--Logical thinking and problem-solving abilities are developed through learning AI and coding. Programming an AI algorithm, for instance, calls on students to evaluate information, spot trends, formulate hypotheses, and develop critical thinking skills.Beyond technology, these abilities assist pupils in overcoming difficult obstacles in daily life. Students who receive AI education are better prepared to adapt and think critically in an AI future.A Fundamental Aspect of AI EducationTeaching AI should cover ethical issues like prejudice, privacy, and transparency in addition to technical skills as the technology becomes more widespread.We can produce a generation of responsible AI developers who place a high value on justice and the well-being of society by including ethical issues into AI education.Coding has already been incorporated into the curricula of several schools that have adopted AI education. Working with businesses like Tek Play might be life-changing for people who are just getting started. Students can easily understand AI topics thanks to Tek Plays interactive coding tutorials and gamified teaching approaches.We covered how gamified platforms and AI-powered tools are transforming education in our earlier blog post, How AI is Transforming Schools and Enhancing Student Learning Experiences.AI is driving the future, and those who grasp its potential will be better able to influence the world of the future. Students that study AI are more equipped to think critically, come up with original ideas, and adjust to a world that is changing quickly. They will be ready for the chances and challenges that lie ahead if they start early and have a strong foundation in coding.

AI Capability Assessments: Are You Really Ready for Enterprise-Scale AI?5 min readJust now--Every leadership team in financial services is asking the same question: How advanced are we in our AI capabilities compared to our peers?Thats the essence of an AI capability assessment. Yet, most internal reviews rely too heavily on public benchmarks, glowing thought-leadership content, or industry rankings. These are helpful for marketing optics, but they can be dangerously misleading. Why? Because behind the headlines, many institutions are still struggling to move past pilot projects and internal red tape.So how can you get an honest, actionable view of your organizations AI readiness?It is not just wondering how your governance can impact the AI deployment as we wrote HERE. It is also breaking down into these five simple but critical questions. Ask these, and youll get a much clearer view of where you stand factually. Key Takeaways: How to Perform an Effective AI Capability AssessmentSlow internal processes are a major risk to AI adoptionIf AI teams face long delays in data access or use-case approvals, innovation stalls. Organizations must streamline workflows and governance to stay competitive in enterprise AI.Public AI maturity rankings can be misleadingDont rely solely on industry surveys or press releases. A true AI capability assessment requires asking internal, fact-based questions about infrastructure, governance, and tool usability.Assess your enterprise AI readiness with five essential questionsEvaluate access to large language models (LLMs), GPU infrastructure, productivity tools like MS Copilot, and approval processes for data and use cases. These metrics provide a realistic picture of AI readiness.1. Do You Have Secure, Cloud-Based Access to Large Language Models?Cloud access to LLMs like OpenAIs GPT-4, Anthropics Claude, or open-source models on Azure and AWS is essential. But heres the kicker: Can you use them with confidential or private data?Many teams believe they have access, but its often in a read-only demo environment or disconnected from sensitive internal data.Your AI capability assessment must ask:Is LLM access approved for internal data use?Can this access connect to your enterprise data sources, securely?Is data flow monitored, audited, and compliant with data protection standards? Best-in-class organizations have production-grade integrations via platforms like Azure OpenAI or Amazon Bedrock, with clear governance over how models interact with enterprise data.2. Do You Have On-Premise GPU Infrastructure for LLM Inference?Not every use case can (or should) go to the cloud. For latency-sensitive or highly regulated AI workloads, on-premise GPU infrastructure is non-negotiable.As we suggest, ask yourself:Do we have dedicated infrastructure for LLM inference?Whats the total available GPU VRAM? (A strong benchmark: 640 GB minimum.)Is this capacity accessible in sandbox or production environments, with secure access to live data? Example: Leading banks are investing in NVIDIA H100 clusters to bring model inference closer to their data. Goldman Sachs, for instance, has been vocal about its private AI infrastructure investments.3. Are AI Productivity Tools Actually Useable for Your Staff?This ones trickier than it seems. Yes, you may have licenses for MS Copilot, ChatGPT Enterprise, or other AI productivity tools. But are they truly usable on the desktop?Ive seen cases where tools were technically available, but locked down by so many internal guardrails they became frustrating to use.Questions to ask:Can non-technical staff use generative AI tools without IT support?Are there limitations that make them unusable in day-to-day tasks? Tip: A good test is whether staff in operations or legal teams are actively using AI tools without needing workaround hacks.4. How Long Does It Take to Get Data Access Clearance for AI Assessment?If your AI developers are waiting weeks or months for access to training data, youve got a bottleneck.However, A strong AI capability assessment includes:Time-to-data-access as a metric (aim for <2 weeks).Clearly defined roles and responsibilities for access approval.An automated process through data governance tools, not endless email chains.5. To Assess AI; How Fast Can Use Cases Get Approval from AI Committees?Heres where great ideas go to die: committee hell.Every AI project should be vetted but if approval processes are too slow or opaque, you risk missing the window for innovation.You should track:Time from idea submission to use case go-live.Frequency of committee reviews.Are business-line stakeholders empowered to escalate or fast-track? Pro tip: Organizations with agile governance models run lean AI councils that meet weekly, not quarterly.Where Should You Be Today?If youre serious about not falling behind, benchmark yourself against these targets: You should fully satisfy either Question 1 or 2 (ideally both). A clear yes should be In Question 3 and users should actually be using the tools. When you are looking at Questions 4 & 5 should be under 2 weeks, end-to-end.If these dont hold, you are at real risk of falling behind no matter what your PR or internal reporting says.Final Thoughts: Time for a Real AI Capability AssessmentConsequently, true AI maturity doesnt lie in press releases or shiny demos. It lies in how usable, scalable, and secure your AI stack is and how quickly your people can get things done.So ask the right questions. Get the answers. And dont settle for weve got it covered until youve verified it yourself. Need help benchmarking or conducting an independent AI assessment? At Finaumate, we help financial institutions cut through the noise and build real AI capabilities. Get in touch with us today.