Dont get sucked in buy the share price rise over the next couple of days shorts have been on the rise 4% now,they are just gearing up for the reckoning day, sorry AGM where management get handed there arses for talking 1hour of fluff and bullshit like they have the last five years.
BRN Discussion Ongoing
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TheDon
Regular
Id rather buy BYD if mercedes doesn't use Akida. Was planing to buy my wife mercedes suv but i change my mind cos there just to slow on adopting the technology.Ok, the new ad for Mercedes is highlighting, in car intelligence. Does anyone else think there’s a dot to Brainchip… !!!
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Hi TTM,The Rise of Small Language Models: Powering Real-Time Intelligence at the EdgeFEATURED 5H AGO
The Rise of Small Language Models: Powering Real-Time Intelligence at the Edge
The Rise of Small Language Models: Powering Real-Time Intelligence at the Edgewww.thefastmode.com
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Image Credit: angel_nt/BigStockPhoto.com
At Mobile World Congress Barcelona, industry experts came together from around the world to delve into the intersection of 5G, AI and Edge and how next-generation connectivity will enable Edge AI to drive digital transformation through the strategic implementation of small language models (SLMs). As AI adoption grows, advanced connectivity, real-time processing and scalable AI models will shape the future of intelligent automation across industries.
While large-scale AI models such as ChatGPT, Gemini and Anthropic dominate the headlines, the unveiling of DeepSeek is shifting the focus towards more efficient, cost-effective AI solutions. A new generation of SLMs is emerging, offering enterprises tailored AI capabilities that prioritize speed, efficiency and domain-specific intelligence.
With the number of connected IoT devices expected to surpass 15 billion within two years, according to GSMA Intelligence, organizations urgently need low-latency, high-performance AI solutions that can process and act on real-time data. This is where Edge AI comes into play. By building real-time data pipelines, Edge AI ensures SLMs can access and process high-quality, structured data—a critical factor for industries like manufacturing, logistics and smart infrastructure.
To support this growing ecosystem, enterprises are turning to scalable, secure and high-performance network solutions to enable faster and more reliable AI applications that make data-driven insights more actionable than ever before.
Small language models are gaining traction
SLMs are designed to be smaller, more efficient and purpose-built for specific use cases. Unlike massive AI models that require extensive computational resources, SLMs prioritize agility, scalability and cost-efficiency—key factors for industries adopting Edge AI and real-time analytics.
For example, a logistics company using Edge AI to manage its supply chain can deploy SLMs to analyze shipment data in real time, identifying potential delays or inefficiencies before they impact delivery schedules. This scalable approach allows logistics providers to optimize routes, improve inventory management and enhance overall operational efficiency—all while keeping data processing secure and within company-controlled environments. SLMs also require less processing power, making them ideal for on-premises and edge environments where cloud dependency is not feasible.
Edge AI: turning data into actionable intelligence
The crux of Edge AI is to make AI more actionable across industries. It does this by breaking down the long-standing silos between IT and OT systems. OT systems control industrial machinery, sensors and production equipment, while IT systems manage data, analytics and enterprise applications. Historically, these systems have operated in isolation, creating data silos that hinder true AI-driven automation. Edge AI integrates IT and OT systems, connects multiple data sources into one seamless data flow and thereby enables real-time decision-making.
By embedding intelligence directly into workflows, Edge AI and SLMs unlock new levels of efficiency, automation and predictive insights, enabling environments to fully harness the power of advanced analytics.
For example, in manufacturing, an Edge AI system can continuously monitor production lines and trigger proactive maintenance alerts before failures occur, minimizing downtime and maximizing efficiency. Similarly, it can enable computer vision applications to analyze product quality in real-time, allowing manufacturers to immediately identify defects and adjust processes, reducing waste and ensuring consistency.
Advancing AI at the edge with next-generation connectivity
While Edge AI is transforming industries, its ability to function at scale and in real time is strengthened by high-performance connectivity. Technologies such as private 5G, advanced Wi-Fi, and edge compute provide ultra-secure and reliable low-latency data transmission and are a critical enabler of real-time AI applications in environments like factories, warehouses, hospitals and smart cities.
By eliminating network bottlenecks, enhancing security and offering dedicated bandwidth, these innovative networks ensure that Edge AI applications can instantly access, process and act on mission critical data.
What’s next: the future of AI at the edge
The shift toward Edge AI and SLMs marks a significant evolution in how organizations leverage AI. Instead of relying solely on large, resource-intensive models, organizations can now adopt more efficient AI architectures that deliver real-time intelligence without the high cost.
At Mobile World Congress (MWC) Barcelona, AI and how it can enhance global connectivity was a central theme, particularly around how SLMs, Edge AI and next-generation connectivity are empowering the next wave of digital transformation. The ability to combine scalable AI models, real-time processing and advanced connectivity is shaping the future of intelligent automation across industries and ushering in a smaller, faster and smarter digital transformation frontier.
SLMs combined with RAG (retrieval augmented generation) gives the flexibility to adapt Akida to any chosen field of endeavour.
Just swap in the appropriate SLM and Bob's your uncle.
DingoBorat
Slim
Other than the times they were "gifted" exits, the short position is reasonably low, comparing over the last 3 years..
I think that's indicative of the increasing risk, of betting against us, over the short term maybe?
Pre-quarterly, is always a potentially lucrative opportunity, to play games though, like you've said, but I think at these price levels, you can't go wrong, if you have a longer term view (and the Company delivers).
Anything in the quarterly, above 100k will be a surprise, but it still won't be enough, until millions are reported (or we get the kind of news, that makes that a foregone conclusion).
With the markets completely losing it the other week, the share price didn't go below 17 cents and we were happily trading around 30 cents, before the LDA, Anil and redomiciliation announcements.
So there's plenty of room, to move up from here.
Plus, I can smell a big announcement coming!
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FiveBucks
Regular
If the share price was $10 I'd be buying Mercedes.
At 20 cents, we are forced to buy BYD!
Big shorting days are now becoming good buy/add days.
And how do you know that, insider knowledge, crystal ball or just pure negativity?
I prefer trying to stay positive.
You are better off with a BYD, value for money but lacking bragging rights.If the share price was $10 I'd be buying Mercedes.
At 20 cents, we are forced to buy BYD!
I never buy an MB here in Thailand, one monster pothole, and it will be very expensive, Ford Raptor maybe, they are popular here and don't care about potholes, LOL.
Frangipani
Top 20
In early February, @yogi spotted this rather puzzling comment by our CMO Steve Brightfield, who has been with our company since July 2024:
Are you an experienced audio/speech/beamforming/algorithms engineer… | Ramesh Chandrasekhar | 12 comments
Are you an experienced audio/speech/beamforming/algorithms engineer, looking to build something exciting that would make a significant positive difference to society? If yes, then message me - I would love to talk to you. If you live in the Southern California region, even better! Thanks! | 12...
While it seems weird that our Chief Marketing Officer would consider applying for an engineering position with a startup, given he has worked in product marketing for most of his career after graduating from Purdue with a Bachelor in Electrical and Electronics Engineering, I find it hard to interpret his comment as anything else than showing interest in that position offered - or at least showing interest in working in some other capacity for that startup in stealth mode founded in November 2024 (although at the same time I just don’t get it why people still currently being employed would publicly comment on LinkedIn that they are interested in a new job for the whole world to see, unless maybe their desire to leave their present job is an open secret anyway or they’ve already received a notice of termination).
If Steve Brightfield had simply wanted to spruik BrainChip’s technology and convince Ramesh Chandrasekhar to consider adopting it for his startup Aynak, he surely wouldn’t have replied to the Aynak founder’s post looking for “an experienced audio/speech/beamforming/ algorithms engineer” by saying “I’m interested”, but would rather have commented on the potential synergistic effect that a collaboration with BrainChip/Akida/TENNs would have for both companies?
Compare his comment to the one by LinkedIn user Atif Zafar:
By the way: Brightfield and Chandrasekhar seem to know each other from their many years working at Qualcomm in San Diego:
Uplinq 2013 Mobile Developers’ Conference:
Ramesh Chandrasekhar - Aynak Inc | LinkedIn
As the Founder of Aynak Inc, my goal is to enable everyone to hear everywhere. Our goal… · Experience: Aynak Inc · Location: Encinitas · 500+ connections on LinkedIn. View Ramesh Chandrasekhar’s profile on LinkedIn, a professional community of 1 billion members.
What Steve Brightfield said in the CES 2025 interview with Don Baine (“The Gadget Professor”)…
"One of the things we demonstrate in our suite is an audio denoising algorithm. So if you have a noisy environment like the show here, you can pass your audio through the Machine Learning algorithm, and it cleans it up and it sounds wonderful. And this is the thing you're gonna start seeing with the deregulation of hearing aids by the FDA. You know, Apple Pro earbuds have put some of this technology in theirs. And we're seeing, you know - I talked to some manufacturers that have glasses, where they put microphones in the front and then AI algorithms in the arm of the glasses, and it doesn’t look like you’re wearing hearing aids, but you’re getting this much improved audio quality. Because most people have minor hearing loss and they don't want the stigma of wearing hearing aids, but this kind of removes it - oh, it's an earbud, oh, it's glasses I am wearing, and now I can hear and engage."
DB: “Sure, I could see that, that's great. So does this technology exist? Is that something someone could purchase in a hearing aid, for example?”
SB: “Actually, I’ve seen manufacturers out on the floor doing this.
We are working with some manufacturers to put more advanced algorithms in the current ones in there, yes.”
(Cf. https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-446882)
… echoes the description of what stealth mode startup Aynak is aiming to develop (“Our goal is to remove the stigma linked to hearing aids by enhancing eyeglasses with built-in environmentally aware and focused hearing capabilities.”)
Today I spotted this open position for a Product Marketing Manager on the BrainChip website that to me pretty much sounds like the description of what a CMO would be expected do?
Any thoughts on this?I hope I am wrong, though, as I would really hate to see the enthusiastic Steve Brightfield leave our company…
Product Marketing Manager
Job Title Product Marketing ManagerJob ID 27753950
Work Hybrid Yes
Location Laguna Hills, CA, 92653 Hybrid
Other Location
Description. The Role
You will play a critical role in enabling BrainChip’s go-to-market success by equipping our global sales and partner teams to effectively position and sell Akida™ — our groundbreaking neuromorphic processor IP that brings AI to the edge. You’ll collaborate cross-functionally with Product, Engineering, Marketing, and Sales Enablement teams to build high-impact enablement programs, tools, and messaging that showcase the unique power of BrainChip’s technology.
We are seeking a strategic, hands-on Product Marketing Manager who thrives at the intersection of technical innovation and storytelling. In this role, you’ll translate the advanced capabilities of neuromorphic AI and edge inference into clear, compelling value propositions for target verticals such as automotive, smart homes, industrial IoT, and robotics.
This is a unique opportunity to shape how BrainChip communicates its value in the rapidly growing Edge AI market. You’ll drive field-facing programs that empower our Sales team to sell confidently, simplify complex ideas into digestible collateral, and develop enablement strategies that accelerate customer adoption of our Akida™ technology.
If you're passionate about emerging AI technologies, simplifying technical concepts into compelling narratives, and enabling sales success with purpose-driven content — we want to hear from you.
Responsibilities
- Develop and execute marketing strategies to promote our Edge AI IP licensing offerings by crafting compelling product messaging that differentiates our solutions from competitors.
- Create and maintain high-quality, product-specific sales enablement content, including playbooks, pitch decks, white papers, case studies, brochures, and presentations.
- Drive readiness for new product launches by managing all related enablement activities, creating training content, and facilitating live sessions to ensure sellers are equipped to engage customers effectively.
- Plan and manage digital campaigns, including content marketing, email campaigns, and webinars.
- Collaborate with engineering teams to translate technical specifications into accessible, value-driven content.
- Develop and manage thought leadership initiatives, including blog posts, industry reports, and conference presentations.
- Track and analyze enablement program effectiveness through various metrics and analytics, iterating and optimizing your approach continuously to increase marketing campaign performance and improve effectiveness.
- Utilize CRM marketing tools, including Salesforce Marketing Cloud, to automate and optimize marketing campaigns for lead generation, customer engagement, and analytics.
- Partner closely with Global Sales Enablement to develop and implement effective onboarding and ongoing training programs to ensure sellers have a robust understanding of the products they represent and adapt training and resources to meet local market needs and dynamics.
- Build and maintain cross-functional relationships with other teams and individuals across the organization
Who You Are
- You have 3-5 years of experience in product marketing, sales enablement, preferably in AI, semiconductors, or IP licensing with a strong focus on directly supporting sales teams and driving their success.
- Experience developing technical marketing collateral and leading GTM campaigns.
- Proficiency in digital marketing tools, CRM platforms (Salesforce Marketing Cloud preferred), and analytics.
- Ability to work cross-functionally with sales, engineering, and product management teams.
- You possess excellent communication skills, with the ability to break down complex information into engaging and accessible content for diverse audiences.
- You're an analytical thinker, capable of using data to evaluate the impact of your programs and make informed decisions to enhance sales enablement initiatives.
- You excel in collaborative environments and can effectively influence cross-functional stakeholders to achieve shared goals and objectives.
- Passion for AI, edge computing, and the future of low-power intelligent devices, demonstrating a deep understanding of the customer journey and buyer personas.
- You are adept at using sales enablement tools and technologies and have experience creating engaging training materials.
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