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AR + AI: Evolution from Tool to “Second Brain”

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SHANGHAI, May 7, 2025 /PRNewswire/ — Dr. Qiu Xiaoling, CFO of JBD, has recently delivered a penetrating analysis of the MicroLED microdisplay and AR glasses ecosystem, illuminating how these once-independent frontiers are coalescing to redefine wearable AI. As AI evolves from merely being “smarter” toward truly “more attuned to you,” users increasingly expect an always-on digital assistant. AR glasses have emerged as the quintessential conduit for frictionless, context-aware interaction, and the ultra-compact MicroLED microdisplay has become the linchpin technology that turns the vision of lightweight, all-day wearable intelligence into daily reality.

In today’s era of breakneck technological progress, one will soon no longer need to hunch over a smartphone. Instead, a lightweight pair of glasses will deliver real‑time information, translation, environmental awareness, reasoning, and even anticipate one’s needs. This is no sci‑fi fantasy, but a tangible outcome of the convergence of AI and AR.

The fusion of AI and AR offers consumers a far more natural, convenient means of interaction and is catalyzing a revolution in smart wearable electronics. Meta’s CTO Andrew Bosworth has remarked, “The always‑on AI experience will allow smart glasses to replace the smartphone.” [1] The future is rapidly approaching.

1.    AI Foundation Models: Democratization and Personalized Intelligence

Large reasoning models have imbued AI with the ability to “think like a human”: beyond parsing surface text, they grasp context and logic, generating responses that mirror human cognition. This breakthrough has dramatically elevated baseline AI capability and is already proving invaluable in daily work.

DeepSeek is a striking example. By optimizing both algorithms and system architecture, it markedly boosts the pre‑training efficiency and the inference speed, slashing development time and cost. As a result, AI applications can now run on a far wider array of devices—including resource‑constrained mobile hardware—truly democratizing the technology.

As AI grows ever more powerful, the paramount question becomes how to harness it efficiently and effortlessly. Every user’s needs differ—text, images, video, code generation, and more. Multimodal foundation models that fuse diverse data types can deliver bespoke services to each user and satisfy that diversity of use cases.

Hence AI is evolving from “smarter” to “more attuned to you.” By continually analyzing behavioral data, AI systems perpetually refine performance and service, realizing genuine personalized intelligence and penetrating ever broader, deeper domains.

2.    The All‑Day AI Assistant: From “Omnipotent” to “Omnipresent”

Input and output are equally crucial in AI interaction. Input is what you ask AI to analyze; output is the result—text, audio, images, or video. Today the PC remains the device through which most people engage AI, yet it is hardly the most natural interface.

An all‑day AI assistant supplies information and interaction anytime, anywhere, without reliance on a phone or PC. Voice mode in tools such as ChatGPT is now ubiquitous,   illustrating that AI’s flexibility should no longer be constrained by hardware form factor.

Chest‑pin or handheld products such as AI Pin and Rabbit R1 pursued greater flexibility, but market response was lukewarm. Beyond physical‑design shortcomings, a decisive factor was the lack of interaction convenience.

As AI grows “omnipotent,” the ideal paradigm is to issue commands and receive answers anytime, anywhere—for example, consulting a recipe or setting a virtual timer while your hands are busy in the kitchen. That demands an “always‑on” device that senses your needs.

While true‑wireless‑stereo (TWS) earbuds are popular, smart glasses clearly win on long‑wear comfort and functional integration. They also furnish AI with a visual display—enabling multimodal interaction no earbud can match. Cameras, microphones, and other sensors supply far richer data than a smartphone, fortifying support for multimodal AI. As Mark Zuckerberg notes, “Glasses are uniquely positioned to let people see what you see and hear what you hear.” [2]

3.    AR + AI: Redrawing the Frontiers of Human‑Machine Collaboration

AI turns AR glasses into a personal assistant—and, ultimately, a “second brain.” They can recommend books or films based on your history and preferences. The Verge wrote of Android XR prototypes: “For that hour I felt like Tony Stark, and Gemini was my J.A.R.V.I.S.” [3]

The combination of AI and AR’s visual display lets devices even anticipate needs: reminding you of your hotel‑room number, translating a foreign menu, or highlighting the next tool during furniture assembly.

To make AR glasses the optimal AI carrier, however, designers must overcome the engineering hurdle of true all‑day ergonomics. Optical architecture drives form factor: many LCoS, DLP, or BirdBath solutions are simply too bulky for stylish everyday wear.

MicroLED micro‑displays are pivotal. Their tiny volume, high brightness, and low power draw enable lightweight AR designs. The smallest engine now measures 0.15 cm³ and weighs just 0.3 g. Powered by JBD’s MicroLED displays, Vuzix Z100 and OPPO Air Glass 2 look little different from conventional eyewear and weigh barely thirty grams—perfect for all‑day wear.

Extreme miniaturization is driving AR into mainstream view, while rapid AI iteration, always‑on connectivity, and seamless interaction embed smart glasses ever more deeply into daily life.

AR + AI is reshaping human‑world connectivity, ushering in the next generation of interaction, and evolving into a genuine “second brain” that promises unparalleled convenience and innovation.

AR, when fused with AI, is not merely redefining how we connect with the world; it is also forging a new stratum of human‑machine symbiosis and fast maturing into humanity’s “second brain.” By infusing everyday life with unparalleled convenience and disruptive innovation, this convergence propels us toward a future that is immeasurably smarter—and profoundly brighter.

References

https://www.thesun.co.uk/tech/30695475/meta-orion-glasses-boz-andrew-bosworth-interview-aihttps://www.theverge.com/24253481/meta-ceo-mark-zuckerberg-ar-glasses-orion-ray-bans-ai-decoder-interviewhttps://www.theverge.com/2024/12/12/24319528/google-android-xr-samsung-project-moohan-smart-glasseshttps://www.evenrealities.com/products/g1-a

View original content:https://www.prnewswire.com/news-releases/ar–ai-evolution-from-tool-to-second-brain-302449461.html

SOURCE JBD

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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

View original content to download multimedia:https://www.prnewswire.com/news-releases/unc-chapel-hill-establishes-carolina-in-the-capital-with-new-washington-dc-office-302758250.html

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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