Welcome to our dedicated page for Brainchip Holdin news (Ticker: BRCHF), a resource for investors and traders seeking the latest updates and insights on Brainchip Holdin stock.
Brainchip Holdings (BRCHF) delivers cutting-edge neuromorphic computing solutions for AI-driven industries. This news hub provides investors and technology professionals with essential updates about the company's semiconductor developments, strategic partnerships, and market positioning.
Access timely reports on product innovations, intellectual property licensing agreements, and industry-specific applications of Brainchip's low-power AI processors. Our curated collection features earnings announcements, technology milestones, and operational updates critical for informed decision-making.
Key content includes analysis of neuromorphic architecture advancements, coverage of OEM collaborations, and insights into emerging applications across autonomous systems and smart devices. All materials maintain factual accuracy while explaining complex technical concepts in accessible language.
Bookmark this page for centralized access to BRCHF's evolving story in artificial intelligence hardware. Check regularly for objective reporting on the company's progress in redefining edge computing capabilities through biological neural network-inspired designs.
BrainChip Holdings (BRCHF) has announced integration of its Neural Processing Units (NPUs) with Andes Technology's RISC-V cores. The partnership will showcase BrainChip's Akida AKD1500 on Andes' QiLai Voyager Board at RISC-V Con 2025 events in San Jose and Hsinchu.
The AKD1500 delivers over 0.7 TOPS of event-based computing while consuming less than 250mW, achieving 3-10× better efficiency than traditional CNN processors. The integration leverages Andes' QiLai SoC featuring a quad-core RISC-V AX45MP cluster that reaches clock speeds up to 2.2 GHz on TSMC's 7nm process.
This collaboration aims to enable efficient edge AI compute solutions and expand the RISC-V ecosystem, particularly for applications in AI, processors, automotive electronics, and security markets.
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF), pioneer in neuromorphic AI technology, has announced an upcoming Technology Roadmap presentation by Chief Development Officer Dr. Jonathan Tapson. The event will take place on May 6 at the Sydney Harbour Marriott Hotel's Thomas Keneally Room at 10 a.m. AEST.
The 35-minute presentation will focus on the company's Akida™ technology, highlighting its efficient AI performance for Edge computing applications. Dr. Tapson will discuss the platform's brain-inspired capabilities, configurable IP platform, and potential emerging markets.
Shareholders attending both the Technology Roadmap presentation and AGM should register with Boardroom representatives 10 minutes before the event. The presentation will also be accessible via Lumi platform webcast for online attendees.
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF) has announced its ninth episode of the Investor Podcast Series focusing on corporate remuneration, scheduled for April 17 at 2:30 p.m. PDT. The podcast will feature Director of Global Investor Relations Tony Dawe hosting a discussion with Pia Turcinov, Non-Executive Director Chair of the Remuneration & Nomination Committee, and Jelena Tasker from Korn Ferry.
The discussion will cover key topics including:
- The oversight of compensation arrangements for senior executives and directors
- Evolution of remuneration philosophy and practices
- Korn Ferry's role in aligning compensation programs
- Performance metrics for executives based on shareholder feedback
The company, known as the world's first commercial producer of ultra-low power neuromorphic AI IP, aims to provide transparency to shareholders regarding its compensation strategies for attracting and retaining talent in the competitive AI marketplace.
BrainChip Holdings (BRCHF) has partnered with ARQUIMEA to develop an AI-powered detection system for water safety and rescue operations. The solution combines BrainChip's Akida technology with Prophesee's event-based Metavision® camera on low-power drones to detect distressed swimmers and surfers across large beach areas.
The system processes vision data directly through Akida without converting to traditional frame-based formats, offering faster detection, lower power consumption, and reduced latency by keeping AI/ML processing local to the chip. Compared to conventional camera solutions using CNNs, this event-based approach provides improved tracking capabilities with lower computational and memory requirements.
Frontgrade Gaisler has secured a contract from the Swedish National Space Agency (SNSA) to commercialize the first neuromorphic System on Chip (SoC) device for space applications. The company has launched its new GRAIN (Gaisler Research Artificial Intelligence NOEL-V) product line, featuring the Gr801 SoC as its first device.
The Gr801 integrates BrainChip's Akida™ neuromorphic technology with Gaisler's NOEL-V RISC-V processor into a single integrated circuit, designed for energy-efficient AI applications in space. Sweden's Royal Institute of Technology (KTH) is contributing by developing a demonstration application using a neuromorphic sensor connected to the GR801.
The GRAIN product line aims to enable more advanced and autonomous space missions, supporting both commercial and institutional applications while meeting strict power and weight constraints.
BrainChip Holdings (BRCHF) has announced a partnership with Raytheon Company, an RTX business, to fulfill a $1.8M contract from the Air Force Research Laboratory focused on neuromorphic radar signal processing.
The project, titled 'Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips,' will specifically address micro-Doppler signature analysis for enhanced activity discrimination. BrainChip's Akida™ processor, designed for ultra-low power consumption in neural network processing, aims to enable sophisticated radar processing in power-constrained weapon systems like missiles, drones, and drone defense systems.
The partnership leverages BrainChip's neuromorphic technology to improve cognitive communication capabilities on size, weight, power, and cost (SWaP-C)-constrained platforms for military, spacecraft, and robotics applications.
BrainChip Holdings (OTCQX: BRCHF) announced its participation at Embedded World 2025 in Nuremberg, where it will showcase gesture recognition capabilities using its Akida™ 2 processor technology combined with Prophesee's event-based camera.
The demonstration will highlight the benefits of low-latency and ultra-low power consumption for gesture recognition using the Akida 2 FPGA platform with Prophesee EVK4 development camera. The integration enables capturing high-speed movement with high sparsity, processing only gesture-relevant information for faster response times.
Dr. M. Anthony Lewis, CTO at BrainChip, will present on March 12 about fast online gesture recognition using Temporal Enabled-Neural Networks (TENNs). The company will also showcase its edge LLM model at the event, highlighting applications in autonomous vehicles, industrial automation, IoT, security, and AR/VR.
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF) has announced a collaboration with Onsor Technologies to develop AI-powered glasses for epileptic seizure prediction. The innovative wearable device integrates BrainChip's Akida™ Platform, incorporating EEG sensors and neuromorphic processing capabilities.
The solution features a seizure prediction neural network running on Akida's architecture, achieving over 95% accuracy initially. The system includes incremental learning and personalization algorithms to improve accuracy over time. The device pairs with a mobile alert system, providing real-time notifications to users.
The collaboration leverages Akida's ultra-low power processing capabilities and neuromorphic computing approach, enabling efficient AI application deployment at the Edge. This partnership aims to create a revolutionary product that could significantly impact epilepsy management.
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF) has released a new episode of its 'This is Our Mission' podcast featuring Srini Vasan, president and CEO of Quantum Ventura Inc. The episode focuses on cybersecurity's future and promising technologies for data protection.
Vasan, a member of the MIT Technology Review Global Panel, brings expertise in AI/ML, cognitive computing, blockchain, cybersecurity, and quantum computing. He currently works on large-scale data analytics projects with various U.S. entities including the SEC, public school systems, and healthcare systems.
The podcast, hosted by BrainChip CMO Steve Brightfield, discusses cybersecurity vulnerabilities and data privacy. BrainChip's Akida platform is highlighted as an event-based compute solution for edge AI applications, including robotics, drones, and automotive systems.
BrainChip Holdings announced the integration of its Akida™ processor into Quantum Ventura's CyberNeuro-RT (CNRT) cybersecurity protection technology. The solution, developed in partnership with Lockheed Martin's MFC Division and Pennsylvania State University, is partially funded by the U.S. Department of Energy.
The integration leverages BrainChip's neuromorphic processing for on-chip learning in network-specific attack detection. Akida's key advantages include its small form factor and significantly lower power consumption compared to GPUs, making it suitable for internet-connected devices that traditionally remain unprotected.
The Akida processor can detect malware, attack signatures, and malicious activity by learning normal network traffic patterns. Its ability to learn on-device without cloud retraining allows quick adaptation to emerging threats. The technology operates in micro-watt to milli-watt power budgets, making it ideal for battery-operated or fan-less embedded edge devices.
