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Frangipani

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Another video clip from our booth at Embedded World 2025, slightly different from the one already posted last month:


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„[Our Generation 2 IP] It’s all implemented in our box that we have here. It’s running on an FPGA, and so our customers can actually try it out in reality here, in real hardware, and the next step may or may not be to put this into a chip.”
 
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Frangipani

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From Room-Sized Machines to Brain-Like Chips"

Remember when computers filled entire rooms? Then came microchips that fit in your palm. Today, we are witnessing another revolution with neuromorphic chips - hardware designed to work like the most powerful computer ever created: the human brain. 🧠

Traditional computers follow the Von Neumann architecture - a design where information moves back and forth between memory and processing units. But your brain? It processes everything at once, learning as it goes, using tiny amounts of energy.

Neuromorphic chips break this bottleneck by mimicking how our brains process information. Take Intel Corporation's Loihi 2 chip as an example. Unlike conventional processors, Loihi 2 features:
🔹 1 million artificial neurons connected by synapses
🔹 Spike-based communication (neurons only "fire" when needed)
🔹 On-chip learning that happens in real-time
🔹 Asynchronous circuits that eliminate the need for a central clock

This approach could transform embedded systems in several practical ways:
🔹 Smart Hearing Aids that filter out background noise in busy environment
🔹 Security Cameras that detect patterns of suspicious activities
🔹 Industrial Sensors that run on minimal power while monitoring systems
🔹 Medical Devices that adapt to individual patient patterns

These changes are not just theoretical. Companies like BrainChip are already integrating neuromorphic processors in industries like automotive and healthcare are exploring real-world applications.

What is more exciting is the impact on AI. Today’s AI often relies on massive cloud-based models that demand constant updates and huge data centers. Neuromorphic chips could shift this to edge computing allowing AI to learn and adapt in real-time, using far less power and reducing dependency on the cloud.

By 2027, these brain-like chips could become as common as ARM processors are today. What embedded system in your life would benefit most from brain-like processing?
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Guess I'll wait until 2027 then👴
 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
I could be reading too much into things here, but "using new technology" has certainly piqued my interest!


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Ask the Developer Vol. 16: Nintendo Switch 2 — Part 4​


EXTRACT ONLY -

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The US markets reaction to the tarrifs aren't so bad..
I thought they would be much worse 🙄..

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
The US markets reaction to the tarrifs aren't so bad..
I thought they would be much worse 🙄..




Do you think Donald might have mistaken the word "boom" for another word starting with B? 💣

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7für7

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Great news flow… this should push us to 15cent ! Wohoooo🤡
 
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manny100

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I would expect that the DOD transistion to the Edge and our connection to Bascom Hunter (Navy) and US AFRL and Raytheon coupled with our client and Tech events since Sept'24 would give our patent portfolio value a material boost.
 
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perceptron

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Another video clip from our booth at Embedded World 2025, slightly different from the one already posted last month:


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„[Our Generation 2 IP] It’s all implemented in our box that we have here. It’s running on an FPGA, and so our customers can actually try it out in reality here, in real hardware, and the next step may or may not be to put this into a chip.”
Thanks for posting. I watched the video and was impressed by Dr Lewis. Further, the mind boggles at what a 1 billion parameter model for LLM run on low power at the edge with Akida 2.0 can be used for. There needs to be more videos of what our sales and engineers are doing at these conferences and some tours behind the scenes of what the team do at HQ. In saying that, this video is great.
 
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Although I disagree with John Maynard Keynes philosophy on government stimulus (but he certainly wouldn't have done it to the extreme levels that occurred during the GFC and Covid, which is much of the source of today's inflationary forces).

He was a staunch advocate of tariffs.


"According to Keynesian theory, trade deficits are harmful.The countries that import more than they export weaken their economies. When the trade deficit increases, unemployment rises and gross domestic product (GDP) slows down. Furthermore, surplus countries exert a "negative externality" on their trading partners. They get richer at the expense of others and destroy the output of their trading partners. John Maynard Keynes believed that the products of surplus countries should be taxed to avoid trade imbalances.

At the beginning of his career, Keynes was an economist close to Alfred Marshall, deeply convinced of the benefits of free trade. From the crisis of 1929 onwards, noting the commitment of the British authorities to defend the gold parity of the pound sterling and the rigidity of nominal wages, he gradually adhered to protectionist measures.

On 5 November 1929, when heard by the Macmillan Committee to bring the British economy out of the crisis, Keynes indicated that the introduction of tariffs on imports would help to rebalance the trade balance. The committee's report states in a section entitled "import control and export aid", that in an economy where there is not full employment, the introduction of tariffs can improve production and employment. Thus, the reduction of the trade deficit favours the country's growth.

In January 1930, in the Economic Advisory Council, Keynes proposed the introduction of a system of protection to reduce imports. In the autumn of 1930, he proposed a uniform tariff of 10% on all imports and subsidies of the same rate for all exports. In the Treatise on Money, published in the autumn of 1930, he took up the idea of tariffs or other trade restrictions with the aim of reducing the volume of imports and rebalancing the balance of trade.

On 7 March 1931, in the New Statesman and Nation, he wrote an article entitled Proposal for a Tariff Revenue. He pointed out that the reduction in wages led to a reduction in national demand which constrained markets. Instead, he proposed the idea of an expansionary policy combined with a tariff system to neutralise the effects on the balance of trade. The application of customs tariffs seemed to him "unavoidable, whoever the Chancellor of the Exchequer might be". Thus, for Keynes, an economic recovery policy is only fully effective if the trade deficit is eliminated. He proposed a 15% tax on manufactured and semi-manufactured goods and 5% on certain foodstuffs and raw materials, with others needed for exports exempted (wool, cotton).

In 1932, in an article entitled The Pro- and Anti-Tariffs, published in The Listener, he envisaged the protection of farmers and certain sectors such as the automobile and iron and steel industries, considering them indispensable to Britain."



Perhaps Trump isn't so "dumb" or "foolish" after all? 🤔...
 
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7für7

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Diogenese

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Thanks for posting. I watched the video and was impressed by Dr Lewis. Further, the mind boggles at what a 1 billion parameter model for LLM run on low power at the edge with Akida 2.0 can be used for. There needs to be more videos of what our sales and engineers are doing at these conferences and some tours behind the scenes of what the team do at HQ. In saying that, this video is great.
As Tony Lewis said, it can know a little about a lot or a lot about a little. The second option would be ideal for RAG (Retrieval Augmented Generation), where different models can be loaded depending on the required subject matter. The additional models could be downloaded or they could be stored on a co-located memory.
 
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RobjHunt

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A little confused about the Cessation of Securities ann. That doesn’t mean we’ll be going to a trading halt, does it??
 
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perceptron

Regular
As Tony Lewis said, it can know a little about a lot or a lot about a little. The second option would be ideal for RAG (Retrieval Augmented Generation), where different models can be loaded depending on the required subject matter. The additional models could be downloaded or they could be stored on a co-located memory.
So now we have inference, intelligence and possible multiplexing at the edge without the cloud.
Excited to see the road map that Dr Lewis will present in May. Further, there is a new podcast out, episode 37 "Neuromorphic computing in space"
https://brainchip.com/episode-37-neuromorphic-computing-in-space/
 
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7für7

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I really hope people have been taking my recent posts with humor. It’s simply a way to cope with the ridiculous stock price through irony and sarcasm. My confidence in the company’s development and the fact that we are undoubtedly leading in this segment remains unshaken.

After all, does anyone really think that any military institution would engage with a technology that doesn’t work and could compromise security systems? I certainly don’t. The real question is whether the military is playing a role in slowing down our expansion regarding licensees. After all, the military is always the pioneer before a technology is released to the mass market. I think that could be the case.

As for the stock price—like I said, it’s a joke. There’s nothing more to say. I just hope the management finally rewards its loyal supporters and shareholders.
 
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AARONASX

Holding onto what I've got
some good news to end the week with a new podcast

 
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JB49

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some good news to end the week with a new podcast


Great stuff. But 2 products on the market 5 years from now - Ugh...

I hope we have some other customers who are moving quicker.
 
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