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 Ltd (OTCQX: BRCHF, ASX: BRN) generates news centered on its ultra-low power, event-based neuromorphic AI and Edge AI on-chip processing technology. Company announcements frequently highlight advances in its Akida neuromorphic processors, new chips such as the AKD1000 and AKD1500, and tools and platforms that bring on-device AI closer to sensors in embedded and edge environments.
Readers of the BRCHF news page can expect coverage of product launches and technology updates, including new Edge AI co-processors, developer platforms and cloud-based access to Akida technology. News items describe how Akida’s event-based architecture and Temporal Event-based Neural Networks (TENNs) are applied to real-time streaming workloads and edge AI use cases across video, audio and sensor data.
BrainChip also issues collaboration and partnership announcements. Recent examples include work with HaiLa Technologies on ultra-low power IoT connectivity, Chelpis and Mirle on AI and post-quantum cryptography SoCs and robotics, ARQUIMEA on event-based vision for search and rescue drones, Edge Impulse on developer tooling, and Andes Technology on integrating Akida with RISC-V-based SoCs and development boards. These updates show how the company’s neuromorphic AI is being integrated into broader ecosystems and application domains.
In addition, the company releases capital and corporate communications, such as information about funding intended to accelerate commercialization of its neuromorphic AI technology, and investor podcast episodes that discuss topics like remuneration strategy. For investors and technologists following BRCHF, this news feed offers a view into BrainChip’s product roadmap, technical direction, partnerships and communications around Edge AI and neuromorphic computing.
BrainChip Holdings has been awarded a $1.8M development contract from Air Force Research Laboratory (AFRL) for neuromorphic radar signaling processing technologies. The contract follows a successful demonstration of radar processing algorithms running on BrainChip's Akida™ neuromorphic hardware.
The project aims to validate sophisticated radar processing solutions in size, weight, power, and cost (SWaP-C) constrained platforms, including threat detection, air defense, and guidance systems. The technology will be implemented in various mobile platforms such as drones, robots, aircraft, and satellites.
BrainChip's Akida processor offers ultra-low power consumption for edge computing applications, making it ideal for military and spacecraft applications where power efficiency is crucial.
BrainChip Holdings has introduced the Akida™ Pico, the lowest power acceleration co-processor for AI applications. This innovation enables the creation of compact, ultra-low power, portable, and intelligent devices for various applications including wearables, healthcare, IoT, and defense. Key features of Akida Pico include:
- Ultra-low power standalone NPU core (<1mW)
- Support for power islands for minimal standby power
- Industry-standard development environment
- Very small logic die area
- Configurable data buffer and model parameter memory
The Akida Pico is built on the Akida2 event-based computing platform and can operate on less than a single milliwatt, making it suitable for battery-powered devices. It uses BrainChip's exclusive MetaTF™ software for compiling and optimizing specific Temporal-Enabled Neural Networks (TENNs).
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) has announced significant changes to its leadership and advisory team. Steven Brightfield has been appointed as the new Chief Marketing Officer, bringing extensive experience in AI and semiconductor industries. The company has also revamped its Scientific Advisory Board (SAB), adding company founder Peter van der Made, Dr. Jason K. Eshraghian, and Dr. André van Schaik.
Brightfield's primary focus will be developing a marketing strategy for the new TENNs product, an advanced neural network architecture, and integrating it into the Akida technology platform. The enhanced SAB, led by Dr. Tony Lewis, will provide expert guidance on BrainChip's scientific and technical aspects, supporting the company's short and long-term goals in neuromorphic AI development.
BrainChip Holdings has announced an upcoming podcast featuring Dr. Jason K. Eshraghian, Associate Professor at UC Santa Cruz, to discuss neuromorphic computing. Scheduled for June 3, 2024, at 3 p.m. PDT, the 'This is Our Mission' podcast will be hosted by CEO Sean Hehir. Eshraghian, known for his work in brain-inspired circuit design and spiking neural networks (SNNs), will delve into the practical applications and advantages of neuromorphic computing over traditional AI systems. This conversation aims to provide listeners insights from both academic and commercial perspectives, highlighting BrainChip's role in advancing this technology.
BrainChip Holdings announced that Pennsylvania State University has joined its University AI Accelerator Program, providing students access to cutting-edge neuromorphic technology. The program aims to enhance student learning, development, and research in the field of AI. BrainChip's neural processor, Akida™ IP, offers lower power consumption and supports incremental learning and high-speed inference in various applications like smart cars, smart homes, and industrial IoT.
BrainChip Holdings has earned an Australian patent for an improved Spiking Neural Network, enhancing its sustainable and efficient AI technologies portfolio. The patent enables low-shot learning by adding neurons to represent a new class with minimal samples, impacting applications like biometric face recognition, speech recognition, and anomaly detection. BrainChip continues to innovate in the Edge AI space with its expanding patent portfolio.
BrainChip Holdings and Frontgrade Gaisler are collaborating to integrate BrainChip's Akida neuromorphic processor into Frontgrade Gaisler's space-grade microprocessors, introducing true AI capabilities to space technology. This partnership aims to enhance computing resources for space-borne systems, offering superior power efficiency and inference performance. The inclusion of AI technology in space-grade microprocessors signifies a significant advancement in mission efficiency and autonomy in space applications.
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