In my previous column, we discussed how the year 2030 seems set to be an exciting time to be in artificial intelligence (AI) and machine learning (ML) space (where no one can hear you scream). For example, in addition to the industrial IoT (IIoT) we also have the artificial intelligence of things (AIoT). Well, according to the IoT Agenda, "The AIoT is the combination of AI technologies with the IoT infrastructure to achieve more efficient IoT operations, improve human-machine interactions, and enhance data management and analytics […] the AIoT is transformational and mutually beneficial for both types of technology as AI adds value to IoT through machine learning capabilities and IoT adds value to AI through connectivity, signaling, and data exchange." I've said it before and I'll say it again, I couldn't have said this any better myself. As we noted in Part 1 of this 2-part miniseries, the folks at PwC project that the impact of AI on global GDP by 2030 will be around $15T.

The initial effort will include implementing NVISO's AI solutions for Social Robots and In-cabin Monitoring Systems on BrainChip's Akida processors. Developers of automotive and consumer technologies are striving for devices that better respond to human behavior--which requires tools and applications to interpret human behavior captured from cameras and sensors on devices. However, these environments can be constrained by limited compute performance, power consumption, and cloud connectivity lapses. Since information is not sent off-device, user privacy and security are also protected. NVISO's technology is uniquely able to analyze signals of human behavior such as facial expressions, emotions, identity, head poses, gaze, gestures, activities, and objects with which users interact.

Laguna Hills, Calif. – April 5, 2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world's first commercial producer of ultra-low power neuromorphic AI chips and IP, and SiFive, Inc., the founder and leader of RISC-V computing, have combined their respective technologies to offer chip designers optimized AI/ML compute at the edge. BrainChip's AkidaTM is a revolutionary advanced neural networking processor architecture that brings AI to the edge in a way that existing technologies are not capable, with high performance, ultra-low power, and on-chip learning. SiFive Intelligence solutions with their highly configurable multi-core, multi-cluster capable design, integrate software and hardware to accelerate AI/ML applications. The integration of BrainChip's Akida technology and SiFive's multi-core capable RISC-V processors will provide a highly efficient solution for integrated edge AI compute. SiFive Intelligence -based processors offer industry leading performance and efficiency for AI and ML workloads.

Machine Learning at the edge is gaining steam. BrainChip is accelerating this with their Akida architecture, which is mimicking the human brain by incorporating the 5 human senses on a machine learning-enabled chip. Their chips will let roboticists and IoT developers run ML on device for low latency, low power, and low-cost machine learning-enabled products. This opens up a new product category where everyday devices can affordably become smart devices. Rob is an AI thought-leader and Vice President of Worldwide Sales at BrainChip, a global tech company that has developed artificial intelligence that learns like a brain, whilst prioritizing efficiency, ultra-low power consumption, and continuous learning. Rob has over 20 years of sales expertise in licensing intellectual property and selling EDA technology and attended Harvard Business School. This is your host Abate, founder of fluid dev a platform that helps robotics and machine learning companies scale their teams up as they grow. So welcome Rob and honor to have you on here. Rob: Abate it's great to be here and thank you for having me on your podcast.

Did you miss a session from the Future of Work Summit? BrainChip today announced the commercialization of its Akida neural networking processor. Aimed at a variety of edge and internet of things (IoT) applications, BrainChip claims to be the first commercial producer of neuromorphic AI chips, which could deliver benefits in ultra-low power and performance over conventional approaches. As AI has continued to grow over the last few years, it's expected that AI at the edge will become a bigger portion of the market. This is known as the artificial intelligence of things.

BrainChip Holdings has added Information Systems Laboratories in its Early Access Program and will provide the latter with assistance in the development of an artificial intelligence technology meant to support the Air Force Research Laboratory's radar projects. ISL is developing the technology based on BrainChip's Akida neural networking processor, which uses a neuromorphic architecture to support edge-based AI growth, the Australian software company said Sunday. Akida is designed to mimic the human brain's spiking nature and support edge AI applications including learning, inference and on-chip training. ISL can assess the ultra-low-power processor and utilize related engineering resources as a member of BrainChip's EAP. "As part of BrainChip's EAP, we've had the opportunity to evaluate firsthand the capabilities that Akida provides to the AI ecosystem," said Jamie Bergin, senior vice president and manager for ISL's research, development and engineering solutions division.

BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology and the world's first commercial producer of neuromorphic AI chips and IP, today announced that the next episode of its "This is our Mission" podcast will air early next year rather than its traditionally scheduled timeslot in December, to give guests and listeners time to enjoy the holidays and year-end celebrations. The series will go back to its regular monthly releases upon its return. Launched in 2020, the BrainChip Podcast is a monthly event intended to provide company and industry insight for the engineering community in target markets, as well as analysts, technical and financial press and investors. Guests have included company executives explaining BrainChip's technology and advances made towards marketability, as well as leading industry and academic experts who have provided insight into the broader market and BrainChip's place within it as part of "Outside Looking In" conversations. "This has been an incredible year interviewing incredible people to help listeners, investors and even those within the company learn about this incredible emerging marketplace and gain insight into aspects of AI from different perspectives," said Rob Telson, Vice President of Worldwide Sales at BrainChip and frequent podcast host.

BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BCHPY) a leading provider of ultra-low power high performance artificial intelligence technology and the world's first commercial producer of neuromorphic AI chips and IP, today announced that MegaChips, a pioneer in the ASIC industry, has licensed BrainChip Akida IP to enhance and grow its technology positioning for next-generation, Edge-based AI solutions. A multibillion-dollar global fabless semiconductor company based in Japan, MegaChips provides chip solutions that fulfill various requirements, including low power consumption, cost and time to market, while achieving breakthrough functions and performance by fusing knowledge of Large Scale Integrations and applications for problems in device development. By partnering with BrainChip, MegaChips is able to quickly and easily maintain its industry innovator status by supplying solutions and applications that leverage the Akida revolutionary technology in markets such as automotive, IoT, cameras, gaming and industrial robotics. "As a trusted and loyal partner to market leaders, we deliver the technology and expertise they need to ensure products are uniquely designed for their customers and engineered for ultimate performance," said Tetsuo Hikawa, President and CEO of MegaChips. "Working with BrainChip and incorporating their Akida technology into our ASIC solutions service, we are better able to handle the development and support processes needed to design and manufacture integrated circuits and systems on chips that can take advantage of AI at the Edge."

Company executives will host a roundtable discussion, present to session attendees and participate on a panel about how neuromorphic computing addresses the challenges at the edge. The Edge AI Summit aids enterprise adopters, OEMs, AI software and hardware providers in their pursuit of deploying AI at the edge by helping them form partnerships that will improve the performance of embedded hardware, optimize models and compress workloads to enable high-performing and low-footprint AI to exist at the edge. "With the acceleration of AI at the edge, what better place to demonstrate the capabilities of our Akida advanced neuromorphic architecture than at the Edge AI Summit," said Mankar. "We are at the stage where evangelizing our approach to this emerging market opportunity is being replaced by our introduction of a production version of the Akida chip. I know Rob and I are eager to present and discuss the possibilities of AI at the edge as well as how Akida will revolutionize the industry in a way that existing technologies are not capable of."

WIRE)--BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology, today announced BrainChip will be taking orders of two development kits for its Akida advanced neural networking processor, enabling partners, large enterprises, and OEMs to begin internal testing and validation of Akida's high-performance, small, ultra-low power AI chip. Akida NSoC and intellectual property enable a wide array of edge AI capabilities that include continuous learning and inference. BrainChip is offering two development kits, both including the AKD1000 chip on a mini-PCI board: an X86 Shuttle PC development kit, as well as an ARM-based Raspberry Pi development kit. "Offering development kits is not only a major step towards full commercialization, it's also an exciting opportunity to see how our partners and future customers will put Akida to work in environments and scenarios like consumer electronics, industrial applications, aerospace and defense systems, healthcare and medical devices, automotive technology, and more," said Anil Mankar, BrainChip co-founder and chief development officer. "We believe the AKD1000 silicon, or the licensing of Akida in a configurable IP format, will lead to major changes in industries using AI at the edge because of its performance, security, low power requirements, and mainly Akida's ability to perform AI training and learning on the device itself, without dependency on the cloud."