AI is making waves across platforms, industries, and even your privacy settings.?
Let us deliver the highlights, so you can get back to what really matters—like finally tackling that never-ending to-do list (or catching up on your favorite series). Dive in, stay informed, and reclaim your time!
- LinkedIn is training AI models on your data
- LinkedIn has opted users into allowing their data to be used for training generative AI models without prior consent. Users can opt out by navigating to the "Data for Generative AI Improvement" option in their account settings, though data already used in training can't be undone. The platform's updated privacy policy states that personal data may be used to develop and train AI models. While LinkedIn claims it uses privacy-enhancing technologies, users in the EU, EEA, and Switzerland are excluded from this data usage. Additionally, to stop LinkedIn from using data for other machine learning purposes, users must complete a separate form.
- HubSpot Bets Big on AI With Breeze Intelligence
- HubSpot has introduced AI-powered tools under its new AI brand, Breeze, and Breeze Intelligence, aimed at enhancing personalization, lead generation, and customer data integration across its platform. Breeze Intelligence unifies first-party and third-party data, simplifying campaign automation and improving personalization with enriched insights. Meanwhile, acquisition talks with Google have fallen through, allowing HubSpot to remain independent and focus on its AI-driven strategy, a move some experts see as a positive outcome.
- Real-Time Crop Row Detection Using Computer Vision and Application in Agricultural Robot
- A newly accepted research article in Frontiers in Artificial Intelligence discusses a real-time crop row detection algorithm for autonomous agricultural robots. The algorithm addresses challenges like natural variations in crop images due to weather and growth stages. It applies projective transformation and color-based segmentation to differentiate crops from weeds, followed by clustering and line-fitting for row detection. The algorithm was tested in diverse scenarios, achieving a detection accuracy of over 90% and an intersection over union (IOU) of 0.73, making it a viable solution for real-time agricultural applications.
- NVIDIA AI Aerial Launches to Optimize Wireless Networks, Deliver New Generative AI Experiences on One Platform
- NVIDIA has launched AI Aerial, a new platform designed to optimize wireless networks and integrate generative AI across various industries, including telecommunications, autonomous vehicles, smart factories, and 5G networks. The platform, known as AI-RAN (radio access network), combines high-performance AI computing and network optimization, offering telecommunications providers new opportunities for network efficiency, cost savings, and revenue generation. Partners like T-Mobile, Ericsson, and Nokia are collaborating with NVIDIA to advance AI-driven RAN technology, paving the way for next-generation AI-powered telecommunications infrastructure.
- The 'next wave' of Microsoft's Copilot AI is here
- Microsoft has released a new version of its AI-powered Copilot tool, which enhances automation across its suite of business applications. The update includes features like Business Chat, which consolidates data from the web and work environments, and Copilot Pages for team collaboration. New integrations allow users to leverage Python in Excel, simplifying data tasks through natural language. The latest version also extends AI functionality across PowerPoint, Word, Outlook, OneDrive, and Teams.
- Saudi global AI summit receives 30,000 global delegates
- The Saudi Global AI Summit in Riyadh attracted over 30,000 delegates, showcasing Saudi Arabia’s growing role in AI through numerous partnerships and initiatives, including ethical AI frameworks and a focus on innovation. Key topics included AI's potential to boost global economic performance and enhance efficiency across sectors. Meanwhile, business developments such as Arise's investment in South African fintech Omnisient and Africa's growing climate change financing needs were highlighted, alongside significant milestones like Ethiopia's expected $5 billion annual tourism revenue and the launch of a 100-megawatt solar power project in South Africa.
About Plainsight Technologies
Plainsight Technologies is the enterprise vision data company that makes cameras count. Through our pre-built Vision Intelligence Filters, containerized applications that solve business problems with accurate data from visual sources, we empower organizations to scale from concept to industry adoption while prioritizing privacy, security, and rapid innovation. Our mission is to "make your cameras count," extracting valuable insights from visual data to optimize processes in agriculture, marine biology, manufacturing, food service, and more. Headquartered in Kirkland, Washington, Plainsight Technologies operates as a distributed team, delivering cutting-edge solutions worldwide. To learn more, visit plainsight.ai
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