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BrainChip Holdings Ltd (BRCHF) is a leading provider of ultra-low power, high-performance AI technology for edge devices. The company's flagship product, Akida, is a revolutionary neuromorphic processor that brings artificial intelligence to the edge in a way that is unmatched in the industry. BrainChip is at the forefront of AI innovation, with a focus on applications in security, defense, IoT, and smart home devices. With a strong financial position and strategic partnerships with industry leaders, BrainChip is poised for continued growth and success.
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 released a technical paper introducing aTENNuate, a lightweight deep state-space autoencoder algorithm for raw audio denoising, super resolution, and de-quantization optimized for edge computing. This advancement expands BrainChip's leadership in neuromorphic event-based computing.
aTENNuate belongs to the class of state space-based networks called Temporal Neural Networks (TENNs). It can capture long-range temporal relationships in speech signals, useful for global speech patterns, noise profiles, and potentially semantic contexts. This technology complements BrainChip's Akida IP, an event-based neural processor that offers lower power consumption compared to conventional neural network accelerators.
BrainChip's event-based AI technology is expected to impact various markets, including wearable products (earbuds, hearing aids, watches, glasses) and AIoT devices in smart homes, offices, factories, and cities.
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) highlights the advantages of event-based AI computing for radar and lidar systems. This technology offers performance improvements over conventional signal processing algorithms, addressing key detection and tracking challenges. Event-based AI is particularly efficient for processing point cloud solutions and working with sequential or continuous data streams.
Key benefits include:
- Rapid, accurate response to environmental changes
- Power efficiency, computing only when events occur
- Better data management, focusing on relevant data
- Adaptability to various system sizes and scopes
BrainChip Holdings (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world's first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, announces its sixth Quarterly Investor Podcast. CEO Sean Hehir will address shareholders' questions on August 14th at 3 p.m. PDT.
The podcast will cover recent company developments, including:
- Recap of the Annual General Meeting
- New additions to executive management and Scientific Advisory Board
- Additional funding raised
- Increased focus on Akida 2.0 and TENNs technologies
This podcast complements BrainChip's monthly 'This is Our Mission' series, providing AI industry insights to a diverse audience.
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 released a new white paper introducing their latest technology, TENNs-PLEIADES. This method of parameterizing temporal kernels reduces memory and computational costs while enhancing performance in spatiotemporal tasks. The white paper, titled 'Building Temporal Kernels with Orthogonal Polynomials,' details the advancements in temporal network architectures and event-based sensor processing. TENNs-PLEIADES excels in spatio-temporal classification using ultra-low latency event-based sensors, achieving state-of-the-art performance in various datasets. This technology is an addition to BrainChip's IP portfolio and complements their Akida IP neural processor, which supports incremental learning and high-speed inference in diverse applications.
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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