Glance AI, part of InMobi, has partnered with the Samsung Galaxy Store to launch its e-commerce platform on Galaxy phones in the US. This platform features a Generative AI shopping experience through a standalone app and a lock screen component aimed at selling clothing. The system is fully opt-in, giving users the choice to engage or not. It utilizes AI to create images of users in various outfits based on their photos, with new styles daily for easy purchases directly from the lock screen. Notably, the rollout does not include ads, unlike its Indian counterpart, which combines ads with news and sports updates. Available for Galaxy S22, S23, S24, and S25 models, the service will scale fully within 30 days via the Galaxy Store, possibly accompanied by notifications urging downloads. Overall, this initiative reflects a growing trend of integrating AI into retail strategies.
Source link
Samsung Phones Introduce Unexpected AI Shopping Platform No One Anticipated
5 Smart Ways to Enhance Your Study Habits with AI
As the final exam season nears, effective preparation is essential. Here are some helpful tips involving NotebookLM and Gemini, which are available in Arabic.
-
Podcasts with NotebookLM: Upload educational materials to generate AI-powered audio summaries with customizable focus areas and language options.
-
Study Guides & Mind Maps: Use NotebookLM to create mind maps that highlight key topics and offer study guides tailored for exam prep.
-
Interactive Quizzes on Gemini: Customize quizzes based on your study materials. This feature generates interactive quizzes to test your knowledge.
-
Note Summarization: Upload handwritten notes to Gemini for concise summaries and translation options if needed.
- Math Help: Utilize Gemini for explanations of equations by uploading photos and engaging in real-time chat.
Access these tools via the respective apps or websites. Best of luck with your exams!
Webinar: Harnessing AI Software for Patent Prosecution – Maximize the Benefits of AI Tools for Practitioners – IPWatchdog.com
AI tools are transforming the patent industry, prompting executives and attorneys to develop AI strategies to remain competitive. Legal professionals are increasingly exploring various AI solutions as a means to drive innovation and enhance service delivery, thereby gaining a competitive edge. However, many organizations are facing challenges in translating AI’s potential into tangible value within intellectual property (IP). To address this, a panel discussion is scheduled for June 5 at 12 PM ET, focusing on practical applications of AI in the patent lifecycle and its disruptive impact on the IP sector. Key topics will include understanding AI as a tool for reshaping IP functions, identifying appropriate use cases, ensuring proper implementation, and showcasing how companies are leveraging AI for faster results and measurable benefits. This conversation aims to clarify the real-world advantages that AI can offer to IP professionals.
Source link
Leading AI-Driven Financial Research Tools to Enhance Your Decision-Making
AlphaSense leverages AI technology to analyze extensive financial data, which includes earnings calls, SEC filings, and news reports. By employing advanced natural language processing, the platform delivers real-time insights that help investors recognize market trends quickly. This capability enables users to make informed decisions, enhancing their investment strategies. The combination of comprehensive data analysis and timely information positions AlphaSense as a valuable tool for those navigating the complexities of financial markets.
Source link
AI Coding Showdown: Comparing ChatGPT, Claude, and the Rest
After a week of testing various AI coding assistants, the writer provides insights on ChatGPT, Claude, Gemini, Grok, DeepSeek, and LLaMA, rating them based on user experience and developer needs. ChatGPT emerges as the top choice, praised for its comprehensive code generation, debugging capabilities, and natural collaboration with users. Claude specializes in contextual reasoning and is ideal for understanding complex codebases but is slower on quick tasks. Gemini offers strong multimodal capabilities but feels inconsistent in code generation. Grok, while fast and engaging, lacks depth in coding tasks. DeepSeek, an underdog, surprises with its solid code generation and open-source flexibility, making it a valuable option for advanced users. LLaMA offers customization for developers willing to set up their own environments but is less user-friendly out of the box. Overall, ChatGPT is recommended for day-to-day tasks, while other tools can supplement specific needs.
Top AI Productivity Tools to Watch in 2025
NotebookLM, developed by Google Labs, is a personalized AI research assistant aimed at researchers, writers, students, and knowledge workers. It allows users to upload various document types, including PDFs and Google Docs, enabling the creation of a custom chatbot trained specifically on their content. This AI assistant helps users by answering questions, summarizing sections, and providing insights by synthesizing information from multiple sources. Its capabilities support users in navigating and understanding complex information efficiently, making it a valuable tool for those engaged in research and content creation.
Source link
CEOs Push for AI Integration, but Software Engineers Resist: Major Application Upgrades Create Significant Challenges
Research from Gartner reveals that many software engineers are frustrated by the demand to integrate AI into existing applications, with 77% citing it as a significant issue. This challenge arises as businesses strive to enhance their offerings amid rising CEO interest in AI’s industry impact, particularly in agentic AI. However, the push for application modernization is complicated by legacy dependencies, making it risky to upgrade critical systems. As a result, transformation efforts can stagnate, hampering broader AI strategies and putting companies at a competitive disadvantage. Despite these hurdles, the AI application development market is poised for growth, currently valued at approximately $5.2 billion. Gartner advises engineering leaders to choose comprehensive AI platforms instead of relying on multiple disparate tools, which can lead to inefficiencies. A consolidated approach will help streamline processes and improve scalability in the evolving field of software engineering.
Source link
Transforming Agriculture: The Impact of AI on African Farmers
AI is significantly transforming agriculture in Africa, enhancing productivity and efficiency for farmers. By utilizing data analytics, machine learning, and remote sensing technologies, AI helps farmers make informed decisions regarding crop management, pest control, and resource allocation. Tools like predictive analytics provide insights into weather patterns and optimal planting times, minimizing risks and maximizing yields. Additionally, AI-driven platforms facilitate access to market information, enabling farmers to secure better prices for their produce. This technological integration is particularly vital in addressing challenges such as food security and climate change. Furthermore, innovative applications like precision farming are becoming accessible even to smallholder farmers, allowing them to improve their operations sustainably. Overall, AI is empowering African farmers, fostering resilience, and promoting economic growth through smarter agricultural practices.
Source link
WPP Media Unveils AI-Powered Solution for Enhanced Targeting Beyond ID-Based Strategies
WPP Media has launched Open Intelligence, the industry’s first large marketing model (LMM) utilizing AI to aggregate consumer data and predict audience behavior. Unlike large language models, LMMs focus on offering insights rather than content generation. Partnerships at launch include FreeWheel, Google, Microsoft Advertising, and others, enabling data aggregation from 75 markets to target 5 billion people globally. Open Intelligence aims to enhance audience targeting by moving beyond ID-based methods, allowing marketers to create custom AI models, accelerate decision-making, and reduce waste. This launch aligns with WPP’s transition from GroupM to WPP Media, emphasizing its commitment to AI. The service arrives amid a resurgence of interest in media mix modeling (MMM), as marketers adapt to the decline of cookies and evolving campaign measurement needs. Despite reporting a Q1 2025 revenue decline of 5%, WPP continues to navigate challenges while integrating these advanced models across various channels.
Source link
Reevaluating Threats: How Security Teams Can Adapt to the Rise of AI-Driven Attacks
Cyberattacks have evolved, leveraging AI for more sophisticated and dynamic methods, such as polymorphic malware and automated reconnaissance, outpacing traditional security responses. Current security defenses remain largely reactive, focusing on known vulnerabilities while often neglecting real-world contexts. This has led to a dangerous imbalance where attackers exploit overlooked weaknesses. Relying on outdated risk scores, like CVSS, means teams waste time addressing non-exploitable vulnerabilities, leaving actual risks uncovered. The fragmented nature of security tools adds to the problem, creating blind spots. To counter these challenges, organizations need to adopt a proactive, attack-path-driven defense strategy. This includes implementing continuous attack simulations and prioritizing exploitability, unifying security data, and shifting toward automated validation of defenses. By focusing on real, high-impact threats and aligning with regulatory demands, security teams can enhance their effectiveness and regain control in an increasingly AI-driven threat landscape.
Source link