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OnePlus 13 kommer med omfattande AI-funktioner

OnePlus introducerar AI Plus Mind och den omprogrammerbara Plus Key med sin kommande OnePlus 13s, vilket ersätter den ikoniska Alert Slider och fokuserar på AI-drivna funktioner för att effektivt spara och organisera skärminformation. AI Plus Mind låter användare snabbt lagra och kontextuellt analysera viktig information via både knapptryckning och geststyrning, och möjliggör naturliga språkfrågor för att snabbt hitta lagrad data. Gemini kommer också vara tillgänglig i OnePlus 13. AI Plus Mind Hjärtat i OnePlus nya AI-strategi är AI Plus Mind ett verktyg som transformerar hur vi hanterar information i vår digitala vardag. Detta innovativa system använder sig av maskininlärning för att inte bara spara utan också analysera och organisera den information du kommer i kontakt med. AI Plus Mind: Aktiveras med ett knapptryck via den nya Plus Key-knappen eller genom att svepa uppåt med tre fingrar på äldre modeller. Systemet identifierar automatiskt viktig information och organiserar den på ett meningsfullt sätt. AI VoiceScribe: Denna funktion är utformad för att spela in och sammanfatta samtal inom populära meddelande- och videochat-appar. Den kommer att ge användare möjligheten att spela in möten och få en automatisk sammanfattning, vilket gör det lättare att följa upp viktiga diskussioner AI Call Assistant: Kommer först att vara...

The rise of artificial intelligence resurfaces a question older than the abacus: If we have a tool to do it for us, why learn to do it ourselves? The answer, argues MIT electrical engineering and computer science (EECS) Professor Devavrat Shah, hasn’t changed: Foundational skills in mathematics remain essential to using tools well, from knowing which tool to use to interpreting results correctly. “As large language models and generative AI meet new applications, these cutting-edge tools will continue to reshape entire sectors of industry, and bring new insights to challenges in research and policy,” argues Shah. “The world needs people who can grasp the underlying concepts behind AI to truly leverage its potential.” Shah is a professor in MIT’s Institute for Data, Systems, and Society (IDSS), a cross-disciplinary unit meeting the global need for data skills with online course offerings like the MicroMasters Program in Statistics and Data Science, which Shah directs. “With over a thousand credential holders worldwide, and tens of thousands more learners engaged since its inception, the MicroMasters Program in Statistics and Data Science has proven to be a rigorous but flexible way for skilled learners to develop an MIT-level grasp of statistics fundamentals,” says Shah. The MicroMasters also...

The IEEE Transactions on Antennas and Propagation has just announced an upcoming Special issue to appear in November 2021 on Artificial Intelligence: New Frontiers in Real‐Time Inverse Scattering and Electromagnetic Imaging which will be guest edited by Manuel ARREBOLA, Maokun LI, Marco SALUCCI. Please find below additional information and important dates and visit the dedicated web page for submission procedures. Guest Editors Manuel ARREBOLA, Universidad de Oviedo, Spain (arrebola@uniovi.es)Maokun LI, Tsinghua University (maokunli@tsinghua.edu.cn)Marco SALUCCI, University of Trento (marco.salucci@unitn.it) Outline Understanding and solving complex problems in the physical world has been an intelligent endeavor of humankind. Moreover, the study of artificial intelligence embodies the dream of designing machines like humans. Research in deep learning (DL) techniques has attracted much attention in many application areas. With the help of big data technology, massive parallel computing, and fast optimization algorithms, DL has greatly improved the performance of many problems in the speech and image research, power transportation networks or bio‐electromagnetics, among others. Nowadays, DL is rapidly emerging in the antennas and propagation community as an extremely powerful paradigm for solving high‐complexity electromagnetic inverse scattering (IS) and imaging problems with unprecedented computational efficiency without reducing the accuracy and therefore reliability. As...

🔘 Paper page: arxiv.org/abs/2208.05476 Abstract Malicious software (malware) causes much harm to our devices and life. We are eager to understand the malware behavior and the threat it made. Most of the record files of malware are variable length and text-based files with time stamps, such as event log data and dynamic analysis profiles. Using the time stamps, we can sort such data into sequence-based data for the following analysis. However, dealing with the text-based sequences with variable lengths is difficult. In addition, unlike natural language text data, most sequential data in information security have specific properties and structure, such as loop, repeated call, noise, etc. To deeply analyze the API call sequences with their structure, we use graphs to represent the sequences, which can further investigate the information and structure, such as the Markov model. Therefore, we design and implement an Attention Aware Graph Neural Network (AWGCN) to analyze the API call sequences. Through AWGCN, we can obtain the sequence embeddings to analyze the behavior of the malware. Moreover, the classification experiment result shows that AWGCN outperforms other classifiers in the call-like datasets, and the embedding can further improve the classic model’s performance. Authors S. W. Hsiao, P. Y....

object(WP_Post)#8428 (24) { [“ID”]=> int(39805) [“post_author”]=> string(2) “75” [“post_date”]=> string(19) “2025-05-08 03:06:42” [“post_date_gmt”]=> string(19) “2025-05-08 03:06:42” [“post_content”]=> string(8501) “ The Singapore general election was quick and felt like more of a touch-and-go event, but a lot was observed and could be learnt from media and audience reactions to the event. We analysed, using Pulsar TRAC, more than 270k mentions across online news, podcasts, TV, Facebook, YouTube, TikTok, Reddit, X, forums and blogs in Singapore between March 28th – May 7th 2025, to see how the conversation was moving and being influenced by media and audiences. Based on this, we listed what we’ve learnt from this year’s election. Which industries gained the most spotlight? Chee Hong Tat’s defence of the GST hike shows the PAP leaning heavily on long-term fiscal planning. This was mainly covered by media outlets like the CNA, mentioning how these hikes were to eventually work on providing benefits to the seniors of society and that it wouldn’t be possible if these hikes weren’t in place. Audiences across X and Facebook expressed their concerns around this, but were equally appreciative of open dialogue with the public. The US and UK covered the election when their media focus was...

The future of software development is shifting—fast. With the rise of AI-powered no-code tools like Lovable, Bolt, and Vercel, launching an app is more accessible than ever. The promise is simple: build software without writing code. And honestly? That’s a future we’re excited about too. But here’s what many product owners discover—usually a few weeks (and a few thousand dollars) into the process: AI app builders aren’t as plug-and-play as they seem. While these tools are powerful, they’re not magic. They need strategic implementation, customization, and integration—the kind of expertise that most startups or innovation teams don’t realize they need until they hit a wall. Let’s break it down. Can Product Owners Get the Results using just the trending No-code AI Tools Like Lovable, Vercel, and Bolt? The Hidden Complexity Behind AI Coding Apps Tools like Lovable and Bolt AI promise rapid app development using AI-generated code, drag-and-drop interfaces, and automated logic builders. They’re excellent for: Validating a business idea Rapidly prototyping an MVP Launching internal tools Connecting with common APIs But when you want to do things like: Integrate with a custom third-party system Scale past the prototype phase Handle edge-case business logic Ensure security, compliance, and performance …that’s...

Google’s newly unveiled Veo 3 model is seriously redefining what AI-generated video can do. Announced at Google I/O 2025, Veo 3 is producing video clips so realistic that most viewers struggle to tell them apart from live-action footage. Veo 3 introduced capabilities—like native audio generation and cinematic visual fidelity—that significantly lower the barrier to professional-grade video production. Breaking the “Silent Era” with Integrated Audio For the first time, an AI video generator comes with its own soundscape. Veo 3 generates sound effects, ambient noise, and even character dialogue to accompany each scene, all in sync with the action. Google DeepMind’s CEO Demis Hassabis framed it as “emerging from the silent era of video generation”, where creators can prompt Veo 3 with not only a scene description but also how it should sound. Under the hood, the model analyzes its own generated frames and automatically synchronizes suitable audio, so that footsteps thud, doors creak, or characters speak exactly when and how they should. This built-in audio capability is a game-changer – previous generative models produced mute footage, leaving users to manually add sound. By contrast, Veo 3 can spit out a complete video clip with rich audio, effectively handling the roles...

The launch of OpenAI’s GPT Store marks a new era for artificial intelligence, with incredible potential to transform businesses. Marketers can easily use customized GPTs for specific use cases without learning prompts. GPTs with specialized instructions for marketers or even with external data can be easily used by marketers of any size within seconds. As conversations around AI reach a fever pitch, the GPT Store provides a practical front door into its possibilities. Let’s explore the game-changing value this offers busy marketers looking to leverage AI to drive growth. Unlocking AI’s Potential for Marketers AI has long promised increased efficiency and revenue. However, marketers have lacked access to the specialized tools necessary to harness its potential fully. The GPT Store offers custom GPTs and addresses this issue by providing easily customizable chatbots that cater to specific marketing use cases. No longer will marketers need extensive technical or prompting skills to harness the benefits of AI. The GPT Store democratizes access, allowing every marketer to create and utilize AI chatbot tools powered by advanced AI models from OpenAI (GPT-4). The use cases for marketers include: Marketing strategy Campaign & audience analysis Ad copy generation Content writing & copywriting Data analysis Campaign...

Last week, I got my hands on Google’s newest generative model: Gemini 1.5, a multi-modal behemoth that can consume up to an hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words. That’s a big leap forward in terms of context length: Gemini accepts 5x times more input than its beefiest predecessor, Claude 2.1. I’ve been excitedly anticipating the era of long context windows for a while, not just because they enable generative models to solve entirely new kinds of problems, but also because they just might transform the way we develop with LLMs. But I’m getting ahead of myself. First, let me share with you some of my favorite Gemini 1.5 experiments. Prompting with Video AI Family Video Archive 2.0 Back in the stone ages, i.e. 2020, I devoted a month of my life building an AI-powered family video archive. The idea was to use machine learning (image recognition, speech-to-text, embeddings, etc) to create what was essentially Google Search but for my personal family video archive. It worked, but there was a flaw between chair and keyboard: I didn’t know what to search for. So many hours of video, from so long ago! What precious...

In the era of AI it is essential to stay up-to-date with the latest developments. But with so much information out there, how do you sift through the noise and find the insights that truly matter? If you want to stay updated with the latest AI advancements, subscribing to AI newsletters offers a quick and effective way to absorb key insights and AI trends. In this article, we’ve rounded up the top AI newsletters to follow in 2025 to keep your finger on the pulse. From deep dives into cutting-edge research and industry trends, to updates on AI ethics, policy, and beyond, these newsletters are packed with valuable information in an easy-to-follow form, to enjoy your news with a morning coffee. Explore different newsletters and select the ones to add to your reading list, whether you prefer them daily or monthly. Frequency: Daily Best for: Business leaders, AI and tech enthusiasts Content: News with a mix of industry updates, research highlights, and practical insights The first AI newsletter on our list is “The Neuron Newsletter,”. It’s tailored for those who want a balance between technical depth and accessible summaries of AI research. Their newsletter covers the latest papers, technological breakthroughs,...