Issued on behalf of VisionWave Holdings, Inc. With the Pentagon proposing its largest-ever single-year investment in drones and counter-UAS, the race is on to build the artificial intelligence that can fuse sensors, coordinate machines, and keep humans in command. WEST HOLLYWOOD, Calif., June 16, 2026 (GLOBE NEWSWIRE) -- Equity Insider News Commentary — The character of modern conflict is being rewritten in real time, unmanned systems are playing an increasing role. Battlefields from Eastern Europe to the Middle East have shown that a swarm of inexpensive unmanned systems can threaten platforms costing thousands of times more, collapsing decades of defense doctrine built around expensive, exquisite hardware. The Pentagon has responded with significant increase in funding for autonomous systems — its fiscal 2027 budget proposes more than $70 billion for military drones and counter-UAS systems, and global counter-drone contract awards surpassed $29 billion in the first quarter of 2026 alone. But amid the rush to build more drones and more counter-drone weapons, a harder problem looms: who, or what, coordinates all of it? Companies mentioned: VisionWave Holdings, Inc. (Nasdaq: VWAV), Palantir Technologies Inc. (Nasdaq: PLTR), Kratos Defense & Security Solutions, Inc. (Nasdaq: KTOS), AeroVironment, Inc. (Nasdaq: AVAV), Red Cat Holdings, Inc. (Nasdaq: RCAT) That coordination problem — fusing data from countless sensors and machines, reasoning across it fast enough to matter, and doing so without surrendering human authority — an area of focus for VisionWave Holdings, Inc. (Nasdaq: VWAV) is trying to plant a flag. On June 15, 2026, the West Hollywood-based defense and advanced-sensing technology company announced it had filed a U.S. provisional patent application covering SDNN™, or Symbiotic Deep Neural Network, a proprietary AI architecture designed to act as a central reasoning and coordination layer for networks of distributed intelligent systems across defense, security, counter-UAS, robotics, and civil-infrastructure domains. What VisionWave Filed — and Why It's Ambitious The provisional application, filed June 4, 2026 (USPTO Application No. 64/082,410), includes a 455-page specification with 23 engineering drawings. Alongside it, VisionWave filed a U.S. trademark application for the SDNN™ name. At the center of the architecture is a core layer the company has internally code-named “Mother” — intended to serve as a unified reasoning and coordination component for fleets of distributed machines. The concept SDNN™ describes is a closed intelligence loop — Intent, Reason, Task, Execute, Feedback, Adapt, Repeat — stitched together from several proprietary components. These include multi-source data fusion that blends RF, radar, electro-optical/infrared, thermal, and software-agent feeds into a single continuously updated picture; a reasoning-acceleration engine the company calls qSpeed™, designed to prioritize the most mission-critical computations first; a “trust quarantine” framework for scoring the reliability of networked nodes and detecting anomalies or compromised inputs; a hardware root of trust called The Cube™ that uses biometric authentication and tamper detection to physically activate and secure the system; and degraded-mode resilience meant to keep the network operating when nodes are lost or communications are jammed. Threaded through all of it is a “human-in-command” governance model — policy-enforced approval workflows intended to preserve human authority over consequential actions while still allowing autonomous execution within pre-approved bounds. “The goal of SDNN™ is to rethink how AI can coordinate distributed intelligent systems,” said Danny Rittman, the architecture's inventor and chief technology architect, describing the goal as a unified intelligence layer that can “fuse information, reason across an operational picture, coordinate networked nodes, and learn from each mission cycle, while preserving human authority over consequential decisions.” Executive Chairman and CEO Douglas Davis framed the filing as “an important milestone in VisionWave's intellectual property strategy and our vision for AI-driven defense and autonomous systems.” The company outlined six target use-case categories, from counter-UAS and missile-detection decision support to multi-robot industrial coordination, smart-city operations, and even autonomous spacecraft management. Background on Recent Strategic Transactions The SDNN™ filing does not stand alone; it relates to the Company’s ongoing technology development efforts. The company describes itself as building a multi-domain intelligence stack spanning autonomous systems, RF-based sensing, AI infrastructure, visual perception, and computational acceleration. In April 2026, it acquired the xClibre™ AI video-intelligence IP portfolio, independently valued at approximately $60 million by BDO. And in a move, it has been pursuing a controlling interest in Foresight