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iPod Inventor and Nest Founder Tony Fadell Backs Plumerai’s Tiny AI, Hailing It as a Massive Market Disruption Democratizing AI Technology Starting with Smart Home Cameras

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Plumerai Announces Partnership with Chamberlain Group, the Largest Manufacturer of Automated Access Solutions found in 50+ million homes

LONDON, Oct. 7, 2024 /PRNewswire/ — Plumerai™, a pioneer in on-device AI solutions since 2018, today announced a major partnership with Chamberlain Group, whose brands include myQ and LiftMaster, marking a significant milestone in the adoption of its Tiny AI technology.

To achieve features like People Detection and Familiar Face Identification, cloud-based AI and, in particular, Large Language Models (LLMs) require vast remote data centers, consume increasing amounts of energy, pose privacy risks, and incur rising costs. Plumerai’s Tiny AI can do all this on the device itself, is cost-effective, chip agnostic, capable of operating on battery-powered devices, doesn’t clog up your bandwidth with huge video uploads, and has minuscule energy requirements. Moreover, it boasts the most accurate on-device Tiny AI on the market and offers end-to-end encryption. Already running locally on millions of smart home cameras, Plumerai’s Tiny AI is making communities safer and lives more convenient, while proving that in AI, smaller can indeed be smarter. Plumerai has gained strong backing from early investor Tony Fadell, Principal at Build Collective along with Dr. Hermann Hauser KBE, Founder of Arm, and LocalGlobe.

“Tiny AI is a paradigm shift in how we approach artificial intelligence,” said Roeland Nusselder, Co-founder and CEO at Plumerai. “This approach allows us to embed powerful AI capabilities directly into smart home devices, enhancing security and privacy in ways that were once considered unfeasible. It’s not about making AI bigger – it’s about making it smarter, more accessible, and more aligned with people’s real-world needs.”

Key Features of Plumerai’s Tiny AI on the Edge, No Cloud Required

Person, Pet, Vehicle, and Package Detection notifications in .7 seconds vs. average smart cam 2-10 seconds. This may sound like an incremental improvement, but anyone that has a smart cam will appreciate this is a game-changer.Familiar Face Identification and Stranger Detection deliver accurate notifications while protecting privacy; tag up to 40 “safe” i.e. familiar individuals.Multi-Cam Person Tracking (first of its kind!) for comprehensive surveillance.Advanced Motion Detection with rapid response time of, on average, .5 seconds which greatly extends battery life. Over-the-Air updates for products in the field means faster Go-to-Market.

Plumerai has built the most accurate Tiny AI solution for smart home cameras, trained with over 30 million images and videos. Consistently outperforming competitors in every commercial shootout, Plumerai is the undisputed leader in both accuracy and compute efficiency. Internal test comparisons against a leading smart camera, widely regarded as the most accurate among established smart home players, revealed striking results: leading smart camera’s AI incorrectly identified strangers as household members in 2% of the recorded events, while Plumerai’s Familiar Face Identification made no incorrect identifications.

“Plumerai’s technology gives companies a significant edge in a competitive market, proving that efficient, on-device AI is the future of smart home security. It’s a perfect showcase for Tiny AI’s strengths – privacy, real-time processing, and energy efficiency. I’m excited by Plumerai’s potential to expand into other IoT verticals and redefine edge computing,” said Dr. Hermann Hauser KBE, Founder of Arm.

Providing a ready-to-integrate end-to-end solution for AI on the edge, Plumerai is making AI more competitive and a reality for more companies. This breakthrough provides consumers with more options outside the realm of big tech giants like Google, Amazon, Microsoft, and Apple. Unlike other battery powered “smart” cams that send their video feed to the cloud over power-hungry Wi-Fi, Plumerai enables the use of low-power mesh networks to send notifications. With Plumerai companies can easily change their chips without losing AI features.

“Integrating Plumerai’s Tiny AI into our smart camera lineup has allowed us to offer advanced AI features on affordable, low-power devices. This enables us to provide our customers with smarter, more efficient products that deliver high performance without the need for cloud processing,” said Jishnu Kinwar, VP Advanced Products at Chamberlain Group.

Notably, 11+ million people rely on Chamberlain’s myQ app daily to access and monitor their homes, communities and businesses, from anywhere.

“Plumerai’s Tiny AI isn’t just an incremental advance – it’s a massive market disruption,” said Tony Fadell, Nest Founder and Build Collective Principal. “While Large Language Models capture headlines, Plumerai is getting commercial traction with its new smaller-is-smarter AI model. Their Tiny AI is faster, cheaper, more accurate, and doesn’t require armies of developers harnessing vast data centers.”

About Plumerai
Plumerai™ is a pioneering leader in embedded AI solutions, specializing in highly accurate and efficient Tiny AI for smart devices. As the market leader in licensable Tiny AI for smart home cameras, Plumerai powers millions of devices worldwide and is rapidly expanding into video conferencing, smart retail, security, and IoT sectors. Their comprehensive AI suite includes People Detection, Vehicle detection, Animal detection, Familiar Face Identification, and Multi-Cam Person Tacking, all designed to run locally on nearly any camera chip. Headquartered in London and Amsterdam and backed by Tony Fadell, Principal at Build Collective, Dr. Hermann Hauser, Founder of Arm, and LocalGlobe. Plumerai enables developers to add sophisticated AI capabilities to embedded devices, revolutionizing smart technology while prioritizing efficiency and user privacy.

About Build Collective
Build Collective, led by Tony Fadell, is a global investment and advisory firm coaching engineers, scientists, and entrepreneurs working on foundational deep technology. With 200+ startups in its portfolio, Build Collective invests its money and time to help engineers and scientists bring technology out of the lab and into our lives. Supporting companies beyond Silicon Valley, Build Collective’s portfolio is based mainly in the EU and US with some companies in Asia and the Middle East. From tackling food security, sustainability, transportation, energy efficiency, weather, robotics, and disease to empowering small business owners, entrepreneurs, and consumers, the startups in Build Collective’s portfolio are improving our lives and prospects for the future. With no LP’s to report to, the Build Collective team is hands-on and advises for the long-term.

About Chamberlain Group
Chamberlain Group is a global leader in intelligent access and Blackstone portfolio company. Our innovative products, combined with intuitive software solutions, comprise a myQ ecosystem that delivers seamless, secure access to people’s homes and businesses. CG’s recognizable brands, including LiftMaster®  and Chamberlain® , are found in 50+ million homes, and 11+ million people rely on our myQ®  app daily to control and monitor their homes, communities and businesses, from anywhere. Our patented vehicle-to-home connectivity solution, myQ Connected Garage, is available in millions of vehicles from the leading automakers.

Media Contact:
Elise Houren
elise@buildc.com

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Zifo Transforms Ontology Engineering with AI-Powered Intelligent Automation

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Advanced AI solution speeds up ontology creation by 80%, generating structured, interoperable knowledge models for science-driven organizations.

CAMBRIDGE, Mass. and CAMBRIDGE, England, April 30, 2026 /PRNewswire/ — Zifo, the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations, has developed an Intelligent Automation solution for Ontology Engineering, which is designed to seamlessly generate structured, interoperable knowledge models while accelerating ontology creation by 80%.

Overcoming the Bottlenecks of Manual Ontology Creation

Manual ontology creation in the biopharma industry has traditionally been a time-consuming process that requires specialized expertise. Organizations frequently struggle with semantic ambiguity, complex integration challenges, and limited scalability, resulting in workflows that can take weeks to complete. Zifo’s AI-powered automation tackles these challenges head-on by eliminating 80% of the manual work through automated class generation, description creation, and precise IRI mapping.

Addressing the Complexities of Semantic Knowledge

Developing comprehensive knowledge models often demands deep domain expertise to define relationships and align terminology. Zifo’s intelligent solution overcomes this by providing an AI-guided workflow featuring an intuitive interface, meaning specialized ontology engineering knowledge is no longer required. By leveraging LLM-powered generation, the solution creates precise definitions with a deep understanding of domain-specific context, while generating standardized synonyms and establishing controlled vocabulary alignment to eliminate inconsistent terminology.

A Solution Designed for Scalable Scientific Data Modeling

The AI-powered solution addresses critical format compatibility and integration points in ontology management:

Seamless Integration: Automated mapping connects directly to established ontologies, including NCIT, CHEBI, OBI, and EFO, via BioPortal and OLS APIs.Massive Scalability: Parallel processing and batch operations empower teams to execute large-scale ontology projects without performance limitations.Automated Hierarchies: The AI autonomously generates semantic relationships and parent-child hierarchies based on domain context and predefined relation vocabularies.Format Compatibility: The solution produces direct OWL/RDF exports with proper URIs, ensuring seamless downstream integration.

Unique Features include:

Multi-Source Integration: The solution combines BioPortal, OLS, and EMBL-EBI APIs to guarantee comprehensive ontology coverage.Intelligent Ranking System: The system uses AI-powered relevance scoring and justification for precise ontology mappings.Precise IRI Mapping: It ensures that each generated class is linked to the correct IRI, directly promoting semantic web compatibility.Human-in-the-Loop Design: The solution automates repetitive tasks while maintaining vital expert oversight.End-to-End Workflow: Users are guided through a complete pipeline, from initial domain knowledge input straight to exportable OWL files.Visual Knowledge Graph: An interactive graph visualization allows for intuitive relationship exploration and validation.Multi-Format Exports: Provides seamless export options in CSV, OWL, or HTML Ontograph formats for downstream use, collaboration, and visualization.

Strategic Value Across the Scientific Chain

This solution breaks down the traditional barriers of data structuring. Built on a robust backend of Python, LangChain, and leading LLM models, alongside a frontend framework using Next.js 15 and Cytoscape.js for graph visualization, the solution is highly adaptable. Furthermore, future optimization enhancements will include provisions for uploading user-defined classes or semi-ready ontologies.

About Zifo

Zifo is the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations. With expertise spanning research, development, manufacturing, and clinical domains, Zifo serves a diverse range of industries including Pharma, Biotech, Chemicals, Food and Beverage, and more. Trusted by over 190 organizations worldwide, Zifo is the partner of choice for advancing digital scientific innovation.

For more information, visit www.zifornd.comhttps://zifornd.com/practical-ai-blueprints/

Logo: https://mma.prnewswire.com/media/2731415/Zifo_Technologies_Logo.jpg

 

View original content:https://www.prnewswire.com/news-releases/zifo-transforms-ontology-engineering-with-ai-powered-intelligent-automation-302758975.html

SOURCE Zifo Technologies

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UNC-Chapel Hill establishes ‘Carolina in the Capital’ with new Washington, D.C. office

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CHAPEL HILL, N.C., April 30, 2026 /PRNewswire/ — The University of North Carolina at Chapel Hill has opened a new office in Washington, D.C., establishing an expanded presence for the University in the nation’s capital and creating exciting opportunities for students, faculty, staff and alumni.

Located at 101 Constitution Avenue NW, the 10,861-square-foot space – coined “Carolina in the Capital” – will support a variety of functions, including educational programming for undergraduate and graduate students, alumni relations and engagement with government partners.

As a leading R1 university, UNC-Chapel Hill annually attracts more than $1.6 billion to the state’s economy to fund research that creates a better quality of life for all its citizens. More than 60% of UNC-Chapel Hill’s total research funding comes from federal sponsors with the majority of that federal funding coming from the National Institutes of Health (NIH), which is based in the Washington area.

“Carolina in the Capital is a state-of-the-art facility that reflects our commitment to creating experiential learning opportunities for our students and faculty,” said Chancellor Lee H. Roberts. “The space is designed as an immersive learning environment where students can translate classroom knowledge into hands-on experience, which has never been more important. The facility also strengthens our ability to support engagement between our staff, alumni, policymakers and partners.”

Supporting students participating in Carolina’s Washington-based academic programs is a priority. For years, students and faculty have relied on temporary or borrowed spaces across the city. The new office provides a permanent home where students can gather, learn and build community while living and studying in Washington. A robust schedule of classes and events will fill the space throughout the year.

The Washington, D.C. region is home to the largest concentration of out-of-state Carolina alumni anywhere in the country. The new office creates a dedicated space to strengthen those connections and support networking, mentorship, professional development and community-building among D.C.-based Tar Heels.

The space will also serve as a platform to bring Carolina’s research and academic expertise into closer conversation with policymakers, industry leaders and member organizations. Carolina is the nation’s 11th largest university in the country based on research volume with primary federal funding coming from NIH and the National Science Foundation (NSF), both based in the D.C. area. Carolina is a proud member of the Association of American Universities (AAU) and the Association of Public & Land Grant Universities (APLU), which are both based in Washington.

The office is funded entirely through the UNC-Chapel Hill Foundation and does not use any state appropriations.

You can view additional photos of the space here.

Media Contact: UNC Media Relations, 919-445-8555, mediarelations@unc.edu

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SOURCE University of North Carolina at Chapel Hill Office of Communications

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Investing.com Acquires Stonki to Accelerate Its Entry into the Agentic AI Era

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The acquisition strengthens Investing.com’s AI capabilities, advancing a next-generation research assistant that can analyze markets, generate insights, and guide investors in real time

NEW YORK, April 30, 2026 /PRNewswire/ — Investing.com, one of the world’s largest financial platforms used by more than 60 million investors each month, today announced the acquisition of Stonki, an AI-powered investing assistant designed to help traders turn ideas into structured, actionable trading plans.

The move marks a major step in the company’s evolution toward agentic AI, strengthening its ability to deliver faster, deeper, and more actionable market insights to a growing base of more than 300,000 paying subscribers across its InvestingPro suite, the company’s premium subscription offering for advanced market data, tools, and AI-driven insights.

Over the past 12 months, nearly 3 million users have used WarrenAI, Investing.com’s AI-powered financial research assistant launched last year, to perform market analysis, making AI a central entry point into the platform’s ecosystem. With the addition of Stonki, the company is moving beyond traditional AI tools toward agentic systems that can proactively guide users through the investment process.

“We’re entering the age of agentic AI, where the technology moves beyond just answering questions to actively helping investors think, analyze, and act,” said Omer Shvili, CEO of Investing.com. “Bringing Stonki.ai into the fold accelerates our goal of building an agentic platform that will serve as a 24/7 analyst for our users. We are developing this to be more than just a tool; it will be a partner that identifies opportunities, tracks unfolding situations, and surfaces trade ideas even when the user isn’t active—giving our users the kind of edge that was previously only available to professional investors.”

Founded in 2025, Stonki is developing a new category of ‘agentic’ AI for investing, enabling users to turn investment ideas into fully defined strategies with entry and exit conditions, risk management rules, and continuous monitoring.

“We started Stonki because, as investors and traders ourselves, we knew how much time and focus it takes to stay on top of the market and properly manage a day trade, a swing trade, an investment idea, or a portfolio,” said Ulas Bilgenoglu and Itay Verkh, co-founders of Stonki. “We set out to build AI that could carry part of that load by continuously monitoring the market, turning ideas into structured strategies, and helping users make better decisions with clear entry and exit conditions, disciplined risk management, and ongoing tracking. Joining Investing.com gives us the scale, data, reach, and strong AI foundation to accelerate that vision. Together, we can create an experience where AI helps users stay ahead of the market, manage risk, and act with greater confidence.”

The acquisition expands Investing.com’s AI capabilities across both technical and fundamental investing workflows. Stonki’s technology is built around persistent, real-time intelligence, continuously monitoring markets, tracking user-defined strategies, and alerting investors when conditions align, rather than relying on one-off prompts or static analysis.

For active traders, the platform is evolving into a real-time analysis engine designed to support high-frequency decision-making with precision and speed. For long-term investors, it is becoming a central hub for research, enabling users to evaluate opportunities, set personalized alerts, and monitor portfolios based on their individual investment strategies.

Users will be able to define specific conditions, such as a stock crossing a long-term moving average, and have the AI continuously monitor the market, analyze relevant signals, and surface actionable insights in real time. The system will also review portfolios on an ongoing basis, helping investors avoid potential losses and uncover new opportunities aligned with their strategy.

This latest step builds on Investing.com’s broader strategy of expanding its AI-powered suite, including WarrenAI, ProPicks AI, and its recently launched AI Chart Analysis, all aimed at delivering faster, more accurate and more actionable insights to investors.

View original content:https://www.prnewswire.com/news-releases/investingcom-acquires-stonki-to-accelerate-its-entry-into-the-agentic-ai-era-302756588.html

SOURCE Investing.com

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