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Ainos Unveils Next-Generation AI Nose, Advancing the Infrastructure for Chemical Intelligence

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Ainos (NASDAQ:AIMD) announced the second generation of its AI Nose platform, combining upgraded software, firmware, Edge AI and industrial-grade hardware engineered for continuous 24/7 deployment in commercial and industrial environments. Each device acts as an intelligent edge node, locally processing chemical data and feeding Ainos' cloud-connected Smell AI network.

Ainos reported its Smell AI network has accumulated more than 878 million real-world smell data records, forming a growing foundation for what the company defines as Chemical Intelligence—digitizing complex chemical signatures so machines can analyze and learn from environmental changes across sectors such as semiconductor manufacturing, data centers, smart buildings, industrial safety, healthcare environments and robotics.

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Negative

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Market Context

The platform record shows low short positioning, while recent insider activity was net selling. Agai...
Analysis

The platform record shows low short positioning, while recent insider activity was net selling. Against that backdrop, this upgrade is best assessed through deployment durability, customer adoption, and conversion of data assets into commercial results.

Key Figures

Real-world smell data records: More than 878 million records Continuous deployment: 24/7
2 metrics
Real-world smell data records More than 878 million records Smell AI network
Continuous deployment 24/7 Second-generation AI Nose platform

Previous AI Reports

5 past events · Latest: Aug 13 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Aug 13 AI data milestone Positive -3.4% Dataset surpassed 878 million records while planned 1,400-system deployment advanced.
Aug 12 Conference showcase Neutral -0.7% Company announced a September 2–4 SEMICON Taiwan demonstration with Topco Scientific.
Aug 10 Research coverage Positive -4.0% VASRO cited a $2.1 million subscription backlog and expanding semiconductor deployments.
Aug 06 Research coverage Positive +7.8% Zacks highlighted AI Nose, Smell AI applications, and networked real-world data.
Jul 21 Dataset expansion Positive -1.9% Company reported approximately 613 million industrial scent data points since December 2025.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements were followed by negative 24-hour reactions in four of five cases despite generally constructive framing.

Key Terms

edge ai, firmware, edge computing, over-the-air, +1 more
5 terms
edge ai technical
"upgraded software, firmware, Edge AI and industrial-grade hardware"
Edge AI refers to artificial intelligence systems that process data directly on local devices or nearby servers rather than sending information to distant data centers. This allows for faster decision-making and real-time responses, similar to how a home security camera can instantly detect motion without needing to connect to a remote server. For investors, edge AI represents a growing trend toward more efficient, responsive technology that can create new opportunities across various industries.
firmware technical
"upgraded software, firmware, Edge AI and industrial-grade hardware"
Firmware is the built-in software that tells a physical device how to operate, stored in the device’s permanent memory rather than on a removable app. Think of it as the instruction manual glued into a gadget’s brain that controls basic functions and features. Investors care because firmware updates or flaws can change a product’s capabilities, security, repair costs, regulatory compliance and customer satisfaction, all of which can affect sales, margins and company value.
edge computing technical
"upgrades across software, firmware, edge computing and hardware reliability"
Edge computing is a technology that processes data close to where it is generated, such as sensors or devices, rather than sending it all to a distant central location. This allows for faster decision-making and reduces delays, much like having a local office handle urgent matters instead of waiting for instructions from a main headquarters. For investors, it signifies improved efficiency and real-time insights, which can enhance the performance of technology-dependent industries.
over-the-air technical
"including over-the-air ("OTA") updates that enable deployed systems"
Over-the-air means sending data, software or updates wirelessly to devices without needing a physical connection or in-person visit, like receiving a new app or firmware update through your phone or car’s cellular connection. Investors care because it lets companies fix bugs, add features, or patch security remotely, reducing recall costs and boosting user experience and recurring revenue, while also introducing regulatory and cybersecurity risks that can affect value.
brushless motor pump technical
"Long-Life Brushless Motor Pump: A new brushless pump architecture"
A brushless motor pump is a fluid-moving device driven by an electric motor that uses electronic switching instead of physical carbon brushes to transfer power. The absence of brushes means the motor runs more efficiently, lasts longer, needs less maintenance, and can be controlled more precisely—think of it like a modern sealed electric motor replacing an older motor with replaceable rubbing parts. For investors, those traits can influence product reliability, operating costs, energy use, and market appeal, which affect manufacturing costs, warranty claims, and revenue potential.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Second-generation platform combines upgraded software, firmware, Edge AI and industrial-grade hardware to support reliable 24/7 real-world deployment

More than 878 million real-world smell data records strengthen Ainos' Smell Intelligence foundation, with every AI Nose serving as a continuously learning node toward a broader Chemical Intelligence network

HOUSTON, TX / ACCESS Newswire / August 17, 2026 / Ainos, Inc. (NASDAQ:AIMD, AIMDW) ("Ainos" or the "Company"), a pioneer in AI-powered Chemical Intelligence, today announced the next generation of its AI Nose platform, featuring comprehensive upgrades across software, firmware, edge computing and hardware reliability.

The second-generation AI Nose is engineered for continuous, real-world deployment and represents an important step in Ainos' evolution from standalone smell sensing toward a distributed Chemical Intelligence infrastructure for Physical AI.

Rather than simply detecting individual gases or predefined thresholds, AI Nose intends to capture complex chemical patterns in real-world environments and transform them into machine-readable intelligence.

Each deployed AI Nose functions as an intelligent edge node - sensing its environment, processing chemical information locally, and contributing real-world data and learning to Ainos' continuously expanding Smell AI Network.

Ainos' growing Smell AI Network serves as a foundation for its broader Chemical Intelligence vision - transforming invisible chemical signals in the physical world into evolving machine intelligence. The more AI Nose systems deployed, the more real-world chemical information the network can learn from.

From Detecting Smell to Understanding Chemistry

Modern AI systems can increasingly see, hear, speak, reason and act. Yet a vast layer of the physical world remains largely inaccessible to machines: chemistry.

Changes in chemical composition can signal contamination, leakage, process drift, material degradation, environmental anomalies and other conditions long before they become visible or audible.

Traditional gas sensors are generally designed to detect specific gases or trigger alerts at predetermined concentration thresholds. AI Nose takes a fundamentally different approach.

By combining sensing technology, Edge AI and continuously improving models, AI Nose captures complex chemical signatures and converts them into digital information that machines can analyze, compare, learn from and ultimately act upon.

Ainos defines this emerging capability as Chemical Intelligence.

The Company believes Chemical Intelligence can become an important sensory and intelligence layer for Physical AI - enabling machines to understand not only what the physical world looks or sounds like, but also how its underlying chemical environment is changing.

Engineered for Continuous Real-World Deployment

The second-generation AI Nose incorporates engineering improvements informed by Ainos' experience deploying its technology in real-world environments.

The objective is to make AI Nose more reliable, maintainable and scalable for long-duration operation across demanding commercial and industrial settings.

  1. Upgraded Software and Firmware Architecture: The new architecture supports continued optimization of AI analytics, system controls and device management, including over-the-air ("OTA") updates that enable deployed systems to improve as Ainos advances its algorithms and models.

  2. Long-Life Brushless Motor Pump: A new brushless pump architecture is designed to improve durability and operating life for continuous 24/7 deployment while reducing mechanical wear and maintenance requirements.

  3. Optimized Airflow System: Improved airflow pathways and sampling controls are designed to provide more consistent chemical sampling across complex real-world environments.

  4. Enhanced Edge Intelligence: On-device AI processing enables real-time analysis and faster localized response while reducing dependence on continuous cloud processing.

  5. Improved Modularity and Serviceability: Replaceable filters and modular sensing, communication and system components are designed to simplify maintenance and support larger-scale deployments.

  6. Cloud Intelligence and Fleet Management: Cloud connectivity, centralized management and OTA capabilities allow geographically distributed AI Nose systems to operate as part of a continuously learning network rather than as isolated devices.

878 Million+ Real-World Scent Data - Building the Foundation for Smell Intelligence

Ainos' Smell AI network has now accumulated more than 878 million real-world smell data records, with the dataset continuing to grow through ongoing field deployments.

These records form a continuously expanding data foundation for Smell Intelligence, capturing chemical signatures across different environments, operating conditions, locations and time periods.

Their strategic value extends beyond the volume of data itself.

As AI Nose systems continue to operate in real-world environments, Ainos can use this growing foundation to identify patterns, relationships and changes within complex chemical environments - progressively transforming real-world chemical signals into machine-readable intelligence.

Each deployed AI Nose therefore represents more than another piece of hardware. It represents another intelligent node in a growing network.

As the installed network expands, the system can capture additional chemical information across different environments and operating conditions, creating a reinforcing cycle:

More Deployments → More Real-World Data → More Learning → Smarter AI Models → Better Detection and Prediction → Greater Customer Value → More Deployments

Ainos refers to this reinforcing cycle as the Smell AI flywheel.

Over time, this growing combination of real-world data, AI models and networked learning provides the foundation for Ainos' broader vision of Chemical Intelligence.

Hardware deployment is not the endpoint. It is how the intelligence network grows.

From Smell AI to Chemical Intelligence

Ainos views Smell AI and Chemical Intelligence not as separate technology paths, but as stages of the same evolution.

Smell AI provides the sensory and learning foundation. Chemical Intelligence expands that foundation toward a broader understanding of chemical environments and their changes over time.

AI Nose serves as the physical edge node.

The Smell AI network connects those nodes with real-world data and learning.

Chemical Intelligence represents the broader capability that emerges as machines become increasingly able to recognize, interpret and ultimately predict chemical changes in the physical world.

Ainos envisions this architecture extending across semiconductor manufacturing, AI data centers, smart manufacturing, healthcare environments, industrial safety, smart buildings and facilities, robotics, and other Physical AI systems.

At scale, the Company believes these connected intelligence nodes could establish a new machine-readable information layer for Physical AI - one built around chemical information that conventional cameras and microphones cannot perceive.

"We Are Building the Ability for AI to Understand the Chemical World"

"The second generation of AI Nose is more than a product upgrade. It represents an important step in our evolution toward Chemical Intelligence."

"Our first generation took AI Nose into the real world and allowed us to learn from real deployments. The second generation is engineered to operate more reliably, for longer periods and ultimately at greater scale."

"Every AI Nose we deploy gives us another intelligent node for understanding the chemical world. Every deployment expands our real-world data foundation, and every cycle of learning has the potential to make the entire network smarter."

"Hardware deployment is not the endpoint. It is how the intelligence network grows. We are not trying to build a better gas sensor. Our ambition is much larger: to give AI the ability to understand chemistry."

"AI can increasingly see, hear, speak, reason and act. We believe the next major frontier for Physical AI is understanding the invisible chemical changes taking place around it. That is the opportunity we define as Chemical Intelligence."

- Eddy Tsai, Chairman, President and CEO of Ainos

Building the Chemical Intelligence Layer for Physical AI

The next-generation AI Nose represents another step in Ainos' evolution:

From sensing to understanding.
From individual devices to intelligent nodes.
From Smell AI to Chemical Intelligence.
From data collection to continuous learning.
From isolated deployments to a global intelligence network.

By digitizing chemical information from real-world environments, Ainos aims to create a new intelligence layer for machines - enabling Physical AI to understand dimensions of the physical world that have historically remained invisible to conventional computing systems.

Smell the Future.

Digitizing Chemistry for Physical AI.

About Ainos, Inc.

Ainos, Inc. (NASDAQ:AIMD) is building Environmental Intelligence for Physical AI, giving machines a new way to understand the physical world by turning chemical signals in the air into digital information. Its AI Nose technology enables intelligent systems to sense and interpret changes in their surroundings, while Atmosphere Engine extends that intelligence toward environmental control. Together, they form a sensing-to-control architecture designed to help machines sense, understand, and ultimately optimize their environments across semiconductor manufacturing, robotics, industrial systems, healthcare environments, and other real-world applications where AI increasingly interacts with the physical world. Follow Ainos on X, formerly known as Twitter, @AinosInc, and LinkedIn to stay up to date. Visit Ainos' media room at https://ainos.suite.accessnewswire.com.

Forward-Looking Statements

Certain statements in this press release are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. All statements other than statements of historical fact are forward-looking statements. Forward-looking statements are based on management's current assumptions and expectations of future events and trends, which affect or may affect the Company's business, strategy, operations or financial performance, and actual results and other events may differ materially from those expressed or implied in such statements due to numerous risks and uncertainties. Forward-looking statements are inherently subject to risks and uncertainties, some of which cannot be predicted or quantified. There are a number of important factors that could cause actual results, developments, business decisions or other events to differ materially from those contemplated by the forward-looking statements in this press release. These factors include, among other things, our expectation that we will incur net losses for the foreseeable future; our ability to become profitable; our ability to raise additional capital to continue our product development; our ability to accurately predict our future operating results; our ability to advance our current or future product candidates through clinical trials, obtain marketing approval and ultimately commercialize any product candidates we develop; the ability to obtain and maintain regulatory approval of our product candidates; delays in completing the development and commercialization of our current and future product candidates; developing and commercializing additional products, including diagnostic testing devices; our ability to compete in the marketplace; compliance with applicable laws, regulations and tariffs, and factors described in the Risk Factors section of our public filings with the Securities and Exchange Commission (SEC). Because forward-looking statements are inherently subject to risks and uncertainties, you should not rely on these forward-looking statements as predictions of future events. These forward-looking statements speak only as of the date of this press release and, except to the extent required by applicable law, the Company undertakes no obligation to update or revise these statements, whether as a result of any new information, future events and developments or otherwise.

Contact Information
Investor Relations
ir@ainos.com

SOURCE: Ainos, Inc.



View the original press release on ACCESS Newswire

FAQ

What did Ainos (NASDAQ:AIMD) announce about its next-generation AI Nose on August 17, 2026?

Ainos announced a second-generation AI Nose platform with upgraded software, firmware, Edge AI and industrial-grade hardware. According to Ainos, it is engineered for reliable 24/7 deployment, acting as intelligent edge nodes feeding data into a broader Smell AI network for Chemical Intelligence.

How does Ainos' AI Nose platform work and what is Chemical Intelligence?

AI Nose captures complex chemical patterns and converts them into digital information machines can analyze and learn from. According to Ainos, this capability underpins “Chemical Intelligence,” an emerging layer of machine understanding focused on changing chemical environments rather than just visual or audio signals.

What engineering improvements are included in Ainos' second-generation AI Nose platform (AIMD)?

The new AI Nose includes an upgraded software and firmware architecture with OTA updates, a long-life brushless motor pump, optimized airflow, enhanced on-device AI processing, modular components and cloud-based fleet management. According to Ainos, these features target reliability, maintainability and scalability for long-duration real-world deployment.

What is the significance of the 878 million smell data records reported by Ainos for AIMD investors?

Ainos reports its Smell AI network has surpassed 878 million real-world smell data records. According to Ainos, this growing dataset supports learning chemical patterns across environments and time, forming a foundational asset for its Smell Intelligence and broader Chemical Intelligence vision in Physical AI applications.

In which industries does Ainos see potential applications for its AI Nose and Chemical Intelligence platform?

Ainos envisions applications across semiconductor manufacturing, AI data centers, smart manufacturing, healthcare environments, industrial safety, smart buildings, facilities and robotics. According to Ainos, connected AI Nose nodes could provide a machine-readable chemical information layer that complements cameras and microphones in Physical AI systems.

How does Ainos describe the Smell AI flywheel created by AI Nose deployments?

Ainos describes a reinforcing cycle: more AI Nose deployments generate more real-world data, which improves learning and AI models. According to Ainos, better detection and prediction can increase customer value, potentially driving additional deployments and further strengthening its Smell AI network over time.