LuminX, a San Francisco-based AI startup, has secured $5.5 million in seed funding to advance its solutions for logistics and warehousing. The funding round was led by firms including 1Sharpe and GTMFund, and aims to address inefficiencies in supply chain management through Vision Language Models (VLMs) deployed on mobile hardware. Co-founders Alex Kaveh Senemar and Reza Javanmardi emphasize that these VLMs, integrated into cameras, enhance warehouse operations by automating tasks and improving data accuracy. Companies like Vertical Cold Storage report significant productivity increases from LuminX’s technology. The broader logistics sector is also embracing AI for better demand forecasting and operational efficiency, with firms like QXO and Knauf implementing advanced AI tools. However, barriers such as data integrity and skilled labor shortages persist. As adoption accelerates, achieving operational visibility through AI becomes essential for competitiveness in the building materials industry.
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LuminX: The Cutting-Edge AI Revolutionizing Supply Chain Operations
Revolutionary AI Tool Boosts Breast Cancer Detection, Uncovers Overlooked Tumors: Daily Dose
On April 28, 2025, Patient Care highlighted a study in The Journal of Breast Imaging assessing the effectiveness of the Genius AI Detection 2.0 software (Hologic) in enhancing mammogram readings by radiologists. Analyzing data from 5,000 digital breast tomosynthesis exams conducted between 2016 and 2019, the study included 500 cancers identified by radiologists and 100 previously missed cases. Findings revealed that the AI system accurately detected about 90% of cancers originally identified and uncovered 32% of those initially missed. It achieved a specificity rate of 55% in categorizing cancer-free exams. Additionally, the AI integration led to a 24% decrease in reading time and reduced radiologists’ fatigue. The study concluded that this AI tool not only improved diagnostic accuracy for breast cancer but also streamlined the workflow for clinicians by efficiently managing various image types and outputs.
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Outsourcing Job Interviews to AI: Potential Pitfalls and Risks
In May 2024, Adam applied for a UX designer position at Kroger and faced a one-way interview using HireVue’s AI system. The process involved answering five questions, and later, brain teasers that were unrelated to the job. Despite scoring 97%, he wasn’t invited for a follow-up interview, leaving him frustrated and anxious about the opaque evaluation criteria. This experience highlights a broader trend, as 98% of Fortune 500 companies now employ AI in hiring, which many job seekers find discouraging. Critics argue that these algorithms can perpetuate bias and lack transparency, often favoring certain demographics while disadvantaging others. Laws regulating AI hiring practices are sparse and often poorly enforced, increasing concerns over discrimination and privacy. Experts warn that relying on AI could lead to a future where candidates are evaluated solely by data, undermining the nuanced qualities humans bring to the hiring process. The current lack of clear solutions raises significant ethical questions about the future of job assessments.
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The Samsung Galaxy S26 Series May Feature Integrated Perplexity AI
Samsung is nearing a deal with Perplexity that could see Perplexity replace Google Gemini as the default AI assistant for the Galaxy S26. While the partnership announcement might come this year, the integration of Perplexity’s assistant is expected to be implemented by early 2026. Currently, Gemini serves as the standard AI assistant on Android, particularly on Samsung devices, but this collaboration may change that landscape. The agreement would involve pre-installing the Perplexity app on Samsung phones and incorporating its features into Samsung Internet. There are also discussions on potentially integrating Perplexity technology with Samsung’s Bixby assistant, though that remains uncertain. Additionally, Samsung and Perplexity are exploring the development of AI-powered operating systems with various AI functionalities. The implications for Samsung’s existing partnership with Google are not yet clear, but Gemini may continue to coexist with multiple AI options for users on future devices.
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Embracing a New Era of AI: Transforming Galaxy Phones, Browsers, and More
Samsung is reconsidering its AI strategy for the upcoming Galaxy S26 Series, potentially replacing Google’s Gemini with Perplexity AI, an emerging search engine known for delivering real-time results and clear citations. A deeper partnership with Perplexity AI could position it as the default assistant across Samsung devices, including its browser. Although Gemini is well-integrated within Android, it has faced criticism for issues related to speed, accuracy, and transparency. In contrast, Perplexity AI offers more focused, rapid answers, making it an appealing option for Samsung. If implemented, the integration of Perplexity AI could significantly enhance how Galaxy users interact with their devices, improving query handling and content summarization. Although official confirmation is pending, Samsung’s growing interest in Perplexity suggests a shift in the AI landscape, prioritizing utility and effectiveness over sheer model size.
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Selecting AI Tools for Schools: 4 Essential Tips to Consider
As schools increasingly adopt artificial intelligence (AI) tools, technology leaders emphasize a cautious approach to implementation, focusing on protecting student data and addressing biases. Key recommendations include starting small, with schools gradually vetting AI applications like Peninsula School District’s cautious use of 11 tools. Aligning AI tools with existing instructional strategies is crucial, involving evaluation forms for new tools that assess their compatibility with educational goals. Protecting student data is paramount, with districts like Lynwood USD employing detailed fact sheets for vendors to ensure transparency about data usage and model details. Additionally, districts should be vigilant about biases in AI technology, requiring vendors to provide insights into how their tools mitigate biases and support equitable treatment of all students. Evaluating third-party certifications, like Digital Promise’s Responsibly Designed AI, can help ensure that AI tools are inclusive and effective in educational settings.
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Revolutionizing Education: A Cutting-Edge AI Tool to Combat Inequality
Cillian Ó Fathaigh, a Gates Cambridge Scholar, has co-developed Pulc, an AI tool designed to tackle educational inequality and alleviate teachers’ workloads. The tool, which is gaining popularity in Ireland, enhances the marking process and provides essay feedback while keeping teachers and students at the forefront. With teachers traditionally spending over 11 hours a week on marking, Pulc aims to free up this time for more teaching opportunities, particularly benefiting students from less privileged backgrounds. The AI delivers constructive suggestions without providing answers, addressing common student mistakes without de-skilling them. As Pulc expands globally, Ó Fathaigh and co-creator Charles Dillon are committed to ensuring it remains culturally adaptive, avoiding English-centric biases. Launched just two months ago, Pulc is already being utilized by 5% of post-primary teachers in Ireland, illustrating its effectiveness in addressing genuine educational challenges. Future plans include adapting the tool for various international examinations.
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Revolutionary New Google App Enables Offline AI Experience on Smartphones
Last week, Google launched the Google AI Edge Gallery app for Android, enabling users to run various open AI models from Hugging Face locally on their phones, with an iOS version expected soon. The app allows users to search, download, and execute models for tasks like image generation, question answering, and code writing without needing an internet connection. This offline capability addresses privacy concerns and accessibility issues. Currently in an experimental alpha version, it can be downloaded from GitHub and features shortcuts for tasks such as image analysis and chatting. A “Prompt Lab” within the app offers templates and adjustable parameters for customizing model behavior. Performance can vary based on the phone’s hardware and model size. Google encourages developers to share their feedback, and the app is licensed under Apache 2.0, allowing for broad use, including commercial applications.
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Samsung Galaxy S26 Series Set to Feature Perplexity App Amidst Major AI Partnership Talks
Samsung and Perplexity are reportedly finalizing a significant AI deal, which will see the Perplexity app preinstalled on future Samsung devices, starting with the Galaxy S26 series. This innovative move may also include integrating Perplexity’s AI assistant, web browser, and capabilities with Samsung’s Bixby. Discussions between the two companies have been ongoing since April, and the partnership may also lead to the development of an AI-powered operating system and app for creating AI agents that can interact with various AI assistants.
Additionally, Samsung is considering investing in Perplexity’s upcoming funding round, which aims to raise $500 million at a valuation of $14 billion. An announcement regarding the deal could come as soon as this year, with the Perplexity app expected to debut in devices slated for release in early 2026. However, these developments are still subject to change as negotiations continue.
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