#AIUpdate

[ailatestupdate]

Gemini 2.5 Prime

[ukmobilematrix]

Google Gemini Update Makes Conversations Smarter and More Connected

Google has introduced a powerful new update to its AI assistant, Gemini, making it even more intuitive and efficient. With this update, Gemini can now recall past conversations, making interactions more personalized and relevant.

Key Features of the Update:

Chat Recall: Gemini can now refer to past chats. For example, if you previously discussed a topic like the Milky Way, you can simply ask, “Summarize our discussion,” and Gemini will instantly provide a recap without needing to scroll through old conversations.

More Contextual Conversations: This feature goes beyond remembering simple preferences, offering the ability to reference complete past conversations, ensuring that your interactions feel more seamless and connected.

History Management: You can easily manage your chat history. The ‘Gemini Apps Activity’ section allows you to review, manage, or delete your chat history directly under your profile.

Currently, this feature is available to Gemini Advanced subscribers on the Google One AI Premium Plan and is available only in English. Google plans to expand it to more languages and Workspace customers soon.

A Game-Changer for Smart Assistance

With this new functionality, Google Gemini is now able to offer deeper, more connected conversations that feel far more like interacting with a knowledgeable assistant who remembers your preferences and previous queries. Stay tuned for more updates as Google plans to broaden its reach.

[aichatterbox]

OpenAI Introduces Canvas in ChatGPT: How to Edit Text and Code Without New Queries

In October 2024, OpenAI announced a major update to its popular product ChatGPT by adding a powerful new tool called Canvas. This new feature offers users the ability to edit text and code generated by the AI without the need to create new queries. This approach significantly simplifies interaction with the model, especially for lengthy and complex tasks involving text or code.

What is Canvas and How Does It Work?

[swiftnliftnewsandarticle]

Apple's Launch of Artificial intelligence features delayed.

After being postponed, Apple's AI features will now debut in October and be compatible with iPhone 15 Pro, iOS 18, and M1 devices first.

The brand that embodies cutting-edge technology, Apple, is making headlines once again. According to Bloomberg News, the much awaited artificial intelligence features are going to be delayed. Originally slated for distribution alongside the impending software overhauls for the iPhone and iPad, these capabilities are now being rolled out in October via software updates.

The Delayed Rollout

September is when iOS 18 and iPadOS 18 are expected to be released for the first time. AI capabilities, gathered under the moniker Apple Intelligence, will not be included in that version. Beginning in October, Apple intends to roll out subsequent software upgrades that include the aforementioned functionality to users.  

Apple Intelligence—New Era of AI

For the corporation, Apple Intelligence represents a significant advancement in AI. AI can write any kind of content on demand, including text and graphics. First released on the iPhone 15 Pro and iPhone 15 Pro Max, as well as on iPads and Macs with an M1 chip or newer generations, are a number of features derived from this feature. One of the new features in macOS Sequoia is iPhone Mirroring, which allows users to view and interact with the screen of their iPhone on their Mac.

The release of Apple Intelligence coincides with the company's significant efforts to boost sales of its dwindling gadgets and enhance the user experience. With a plethora of new features and software updates throughout its product range, Apple laid the groundwork for its AI promise in June. It's believed to be Apple's response to a rivalry that has been simmering deep beneath the surface in the tech industry, where artificial intelligence (AI) is starting to play a bigger role in user interface and functionality.

Early Access for Developers and Testing

Apple is apparently intending to let software developers to test Apple Intelligence ahead of time in order to streamline the deployment process. The iOS 18.1 and iPadOS 18.1 betas, which might be published as soon as this week, would experience this. By interacting with developers beforehand, Apple will be able to consider all insightful input and make necessary adjustments well in advance of the October full public release. 

Regulatory Hurdles

The introduction of AI features in Europe has been somewhat delayed due to increased scrutiny across the continent. Apple must demonstrate that its AI features won't adversely affect the functionality of rival companies' goods and services in order to comply with the stringent tech standards of the European Union. It appears that before release, more testing and adjustments are necessary.

The Future of Apple AI

Apple Intelligence is sure to surprise the IT community, even though it has come much later than anticipated. Their approach to AI emphasizes user control and privacy, which sets them apart from the competition. Apple is leveraging AI to improve device performance and provide a more intuitive, seamless experience for the user.

Engagement with the AI features is expected to soar, particularly on new devices such as the iPhone 16. October software updates will undoubtedly bring with them a plethora of new AI-powered functions that will make life easier, increase productivity, and provide far more individualized experiences.

Conclusion

Apple's retraction of its AI feature rollout highlights how difficult it is to incorporate cutting-edge technology within legal constraints. But with Apple Intelligence about to launch shortly, users of iPhone, iPad, and Mac are about to explore a whole new world of AI-powered possibilities. Apple is staying loyal to its motto—finding creative ways to improve user experiences and stay ahead of the technological curve—as it navigates these difficulties. 

The arrival of Apple Intelligence is a significant advancement in Apple's AI journey, even though it is a step back to account for the delay. Apple Intelligence is expected to revolutionize the capabilities of Apple products and provide powerful new tools for improving digital life. It is predicted to respect user privacy and integrate smoothly.

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Generative AI : Use Cases in Education

Generative AI is a field of artificial intelligence that aims to create models that can create new data similar to the training data provided to them in terms of the structure and semantics. They learn the underlying patterns and structures of a specific dataset and utilize that information to produce new, synthetic examples. Given its somewhat gradual innovation over the past several decades, the development of generative AI has accelerated dramatically more recently. The adoption and growth of generative AI have significantly influenced various sectors and altered the technology and creativity ecosystem.

The future of technology, creativity, and society is being developed through generative AI in fields with the capacity to impact how we generate, engage with, and think about everything around us. A variety of generative AI techniques are slam-dunk on the table so far :

Generative Adversarial Networks (GANs): GANs were introduced in 2014 by Ian Goodfellow and his coworkers. Generative Adversarial Networks comprise two neural networks, the generator and the discriminator, which play a game against each other. The generator generates realistic data samples while the discriminator attempts to distinguish between real and phoney samples. The GAN’s test of authentic materials aids it in developing an improved response. This gives the neural networks a fighting chance of producing an output that is progressively more realistic.

Variationally Autoencoders (VAEs): VAEs are a generative model that learns a probabilistic distribution of the input data. Unlike GANs, which sample from the input distribution, VAEs learn to encode input data into a latent space and then decode it back into a realistic sample. VAEs are well-noted for their diverse and controllable outputs.

Autoregressive Models: An autoregressive model is generated from data a single point at a time, based on the data generated up to that point. Autoregressive models, of which PixelCNN and PixelRNN are examples, generate sequential data such as images by predicting the likelihood of each element given its prior.

Transformer-based Models: The transformers, initially created for tasks dealing with natural language, have also been transformed for generative functions. For instance, GPT (Generative Pre-trained Transformer) can produce a logical and coherent text that is based on a particular prompt or input information.

The contribution of Generative AI to different aspects of life such as technology and economy among others cannot be underestimated. In the education field alone, the Generative AI comes up with several promising use cases such as personalization, content creation and learning experiences, and therefore, is able to impact the society in different ways. Here are some examples :

Personalized Learning Materials: Generative AI can design the learning materials which are specifically adjusted to the individual student’s needs and preferences. An instance of this can be that, it can create the quizzes, exercises and study guides according to the learning style, progress and the area of strength and weakness of each student. 

Content Creation and Curriculum Development: Teachers can make use of generative AI to produce educational content, for instance, textbooks, lecture notes, and so on. These AI-generated materials are adjustable to the specific curriculum standards, grade levels, and subject areas, thus they help educators in saving time and resources.

Language Learning and Translation: Generative AI-based language learning platforms can generate a vast number of lesson materials of different kinds-such as interactive lessons to dialogues – that allow students to master a foreign language conveniently and effectively. The same way the activities contribute to the learner’s comprehensive levels. Nevertheless, AI-based translation tools eliminate the communication obstacles arising from the multitude of languages and so they guarantee the easy comprehension of educational materials.

Tutoring and Virtual Assistants: Outside class hours, Generative AI is able to offer students support in their studies as a virtual tutor or assistant. The application of AI technology through chatbots and virtual assistants ensures provision of real-time feedback plus detailed explanations on any question, topic, or recommendation related to assignments and personal study needs— which significantly enhances learning outcomes with individual students based on their unique requirements.

Content Generation for Adaptive Learning Systems: Generative AI can create content for adaptive learning systems that automatically modify the pace, the level of difficulty and the subject of instruction as per each student’s performance and understanding. AI-generated content can be kept up to date and improved by the feedbacks and learning analytics and thus it can be easily modified.

Simulation and Virtual Laboratories: Generative AI-run simulations and virtual laboratories give students the opportunities to learn subjects like science, engineering, and medicine in a hands-on manner. Students can do experiments, investigate concepts, and resolve problems in a safe and interactive virtual environment, which in addition to the classroom-based laboratory learning, will be of great help to them.

Creative Writing and Storytelling: Generative AI can be a source of inspiration and creative skills as it provides writing prompts, story starters, and character profiles for the stories. Students may turn the AI-generated content into the starting point of their own creative writing projects, which will enhance their imagination and expression.

Educational Games and Interactive Experiences: Generative AI can be utilized in the creation of educational games and interactive environments that develop the student’s interest in immersive learning through games and other interactive activities.

AI algorithms are capable of producing such game levels, scenarios, and challenges to the degree that they are suited for each student’s skill level and learning objectives. With the help of Generative AI technologies, teachers can make the learning process more interesting, individualized and efficient, thus students of all types and learning styles can enjoy the learning.

Besides, AI-powered tools and platforms can be used by teachers to improve the educational outcomes, to monitor the student’s progress and to offer them the assistance that they really need, finally improving the learning achievements in both formal and informal educational settings.

Explore More Visit Here: https://www.ncuindia.edu/

[jjbizconsult]

GPT3 who? Google's Gemini AI just dropped & it's BLOWING MINDS! (Is it the future?)

[otaviogilbert]

OpenAI's ChatGPT Breaks Free - It Can Now See, Speak, And Hear | Update features of ChatGPT

🚀 Unleash the Power of AI with ChatGPT! 🤖✨ Discover the Incredible New Features of ChatGPT in this Exclusive Update! 🌟

🎙️ Now it Can See, Speak, and Hear! 📸🗣️👂

🌐 Dive into the Future of Conversational AI with ChatGPT's Latest Advancements. 🚀

Don't miss out! Watch the video now to witness the evolution of AI!

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Gemini 2.5 Prime — the next-level AI experience designed for creators, thinkers, and dreamers. With enhanced speed, deeper reasoning, and a smoother interface, Gemini 2.5 Prime is your go-to for intelligent conversation, creative brainstorming, and everything in between.

[vibewire]

OpenAI will soon phase out GPT-4 from ChatGPT

OpenAI will soon retire GPT-4, an AI model it launched over two years ago, from ChatGPT, according to a changelog posted on Thursday. Effective April 30, GPT-4 will be “fully replaced” by GPT-4o, the current default model in ChatGPT, OpenAI said. GPT-4 will remain available for use via OpenAI’s API.....

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GPT-4.5 Leak: Revolutionary AI or Just Rumors?

Exploring the buzz around OpenAI's rumored GPT-4.5 update. Is it a tech breakthrough or just speculation? Dive in for the latest insights in AI.

[neramortis]

ChatGPT’s Glow-Up: WhatsApp & Hotline Calls

ChatGPT is leveling up with WhatsApp integration and a voice hotline! Perfect for quick chats and multitasking, these features bring AI closer than ever. But with outdated info and limited voice minutes, it’s more teaser than full glow-up. Worth trying? Definitely—but keep your expectations realistic!

https://neramortis.blogspot.com/2025/01/glow-into-2025-chatgpts-new-features-on.html?m=1