BRN Discussion Ongoing
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buena suerte :-)
BOB Bank of Brainchip
Anyone got a handle on the latest short list?
I've done a bit of digging but I don't think my spade is big enough
Hey Boab this is just over a week old!
Boab
I wish I could paint like Vincent
On the 26th Sep we closed @19.5c so let's hope there has been a bit more pain inflicted since then.
cosors
👀
ok
off topic
who knows what that means
"Concatenation is a combination of sets to form a new set. The linked set consists of all combinations of the elements of both sets using a normally non-commutative operation. The operation used is usually the concatenation of the elements.
Concatenation is a modification of the product set operation (Cartesian product), neglecting the Tuple notation. In formal terms, concatenation and the Cartesian product are therefore different. However, as this is only a notation, concatenation is identified with the Cartesian product in SQL, for example."
I love Shiraz.)
off topic
who knows what that means
"Concatenation is a combination of sets to form a new set. The linked set consists of all combinations of the elements of both sets using a normally non-commutative operation. The operation used is usually the concatenation of the elements.
Concatenation is a modification of the product set operation (Cartesian product), neglecting the Tuple notation. In formal terms, concatenation and the Cartesian product are therefore different. However, as this is only a notation, concatenation is identified with the Cartesian product in SQL, for example."
I love Shiraz.)
Bravo
If ARM was an arm, BRN would be its biceps💪!
Is it more than just co-incidence that Raspberry Pi has a Pico Series as @Humble Genius alluded to yesterday?
We know that our team showed off AKIDA Pico on applications that detect keywords in speech and the example given in the article I posted yesterday was that this would be useful for voice assistance which wait for keywords to activate, which seems to be exactly what the Raspberry Pico requires.
Intentional or coincidental, only time will tell...
www.all-about-industries.com
We know that our team showed off AKIDA Pico on applications that detect keywords in speech and the example given in the article I posted yesterday was that this would be useful for voice assistance which wait for keywords to activate, which seems to be exactly what the Raspberry Pico requires.
Intentional or coincidental, only time will tell...
Raspberry Pi Pico 2: Improvements and details
(Bild: Raspberry Pi) Details about Raspberry Pi Pico 2, its features, improvements, and details thanks to the RP2350 chip.
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A German that enjoys a tipple?! You are blowing my mind right now.ok
off topic
who knows what that means
"Concatenation is a combination of sets to form a new set. The linked set consists of all combinations of the elements of both sets using a normally non-commutative operation. The operation used is usually the concatenation of the elements.
Concatenation is a modification of the product set operation (Cartesian product), neglecting the Tuple notation. In formal terms, concatenation and the Cartesian product are therefore different. However, as this is only a notation, concatenation is identified with the Cartesian product in SQL, for example."
I love Shiraz.)
buena suerte :-)
BOB Bank of Brainchip
Accenture and NVIDIA Lead Enterprises into Era of AI
Accenture and NVIDIA today announced an expanded partnership, including Accenture’s formation of a new NVIDIA Business Group, to help the world’s enterprises rapidly scale their AI adoption.
nvda.ws
Accenture!?
cosors
👀
ok
off topic
who knows what that means
"Concatenation is a combination of sets to form a new set. The linked set consists of all combinations of the elements of both sets using a normally non-commutative operation. The operation used is usually the concatenation of the elements.
Concatenation is a modification of the product set operation (Cartesian product), neglecting the Tuple notation. In formal terms, concatenation and the Cartesian product are therefore different. However, as this is only a notation, concatenation is identified with the Cartesian product in SQL, for example."
I love Shiraz.)
mine
no
all mine
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Boab
I wish I could paint like Vincent
Bravo
If ARM was an arm, BRN would be its biceps💪!
AI's next feat will be its descent from the cloud
By Robyn MakOctober 2, 20242:59 PM GMT+10Updated 18 hours ago
A worker miniature is placed among printed circuit boards with semiconductor chips, in this illustration picture taken July 5, 2023. REUTERS/Florence Lo/Illustration/File Photo Purchase Licensing Rights
HONG KONG, Oct 2 (Reuters Breakingviews) - It's been two years since ChatGPT made its public debut, kicking off a rush to invest in generative artificial intelligence. The frenzy has lifted valuations for startups like OpenAI, inventor of the chatbot, as well as technology titans whose cloud computing platforms train and host the models that enable these services. The current boom is already showing signs of strain. AI's next phase of growth may be in the palm of your hand.
So-called generative AI, where a model creates new content based on the data it’s trained on, today largely exists in the cloud. OpenAI, for example, uses, opens new tab Microsoft's (MSFT.O), opens new tab Azure platform to train and run its large language models (LLMs). Anyone with an internet connection can make a query on ChatGPT using Azure's data centres around the world. But as models get larger and more complex, so does the infrastructure to train them and handle queries from users.
The result is a scramble to build bigger and more powerful data centres. OpenAI and Microsoft, for example, are in talks for a data centre project set to launch in 2028 that's projected to cost a whopping $100 billion, according to The Information.
All in all, Google owner Alphabet (GOOGL.O), opens new tab, Microsoft and Meta Platforms (META.O), opens new tab, which owns Instagram and Facebook, are forecast to spend a combined $160 billion in capital expenditures next year, per LSEG data, three-quarters more than in 2022. Most of that will go toward purchasing Nvidia's (NVDA.O), opens new tab coveted $25,000 graphic processor units (GPU) and other related infrastructure to train models. The $3 trillion company's CEO Jensen Huang predicts investment in data centres will double to $2 trillion over the next four or five years.
A graphic showing the rapid historical and expected growth in capital expenditure on AI at Alphabet, Microsoft, Amazon and Meta Platforms
These sums raise awkward questions about how sustainable this level of spending is, and whether chatbots and other applications can bring in enough revenue to generate a positive return on such staggering investments. Companies are also grappling with the challenge of finding land to house new data centres and the securing sufficient electricity supplies to power and cool the chips. Big Tech's dominance of LLMs and cloud computing is also attracting regulatory scrutiny. Last year, Microsoft, Amazon (AMZN.O), opens new tab and Google accounted for 58% of global AI server procurement, Morgan Stanley analysts reckon.
These factors explain the latest tech buzzword: “edge AI”. This phrase refers to algorithms and models that run on smartphones or personal computers at the edge of a network rather than a centralised server farm. This approach has several advantages over cloud-based AI. Users will get responses on their devices in real time, without the need for a high-speed internet connection. Their personal data would also stay on the device, rather than being transmitted to a server owned by a third party. And given the ubiquity of handsets and PCs, adoption could be rapid. Analysts at UBS reckon nearly 50% of smartphones, roughly 583 million units, will have generative AI capabilities by 2027, up from just 4% in 2023.
A graphic showing how edge AI will drive smartphone and PC sales
The biggest hurdle is technological: today's devices do not have the computing power, energy and memory bandwidth to run a large model such as OpenAI's GPT-4, which contains an estimated 1.8 trillion parameters. Even Facebook's relatively smaller LLAMA models, with 7 billion parameters, would require, opens new tab an additional 14 gigabytes of temporary storage to work on a phone. Apple’s latest iPhone 16 only comes with 8GB of such random access memory (RAM).
Even so, there are reasons to be optimistic. Companies and developers are increasingly turning to smaller models which are customised for specific tasks. They require less data and effort to train - Google's self-described "lightweight" Gemma architecture contains as little as 2 billion parameters - and are typically open-source and free to use. And because of their highly-specialised nature, smaller models often outperform their larger and more generalised counterparts, with fewer errors.
Besides, most contemporary day-to-day use cases for AI, such as photo-editing tools and personal assistants, probably won't require large models. Some smartphones already boast live translation and real-time transcription functions. And it makes sense for cloud providers to shift basic AI functions to the edge, freeing up powerful data centres for more complex tasks.
At the same time, makers of semiconductors and other components are cramming more processing power and memory into a phone or PC. Research firm Yole Group forecasts, opens new tab the proportion of smartphones that can support an LLM with 7 billion parameters will grow to 11% this year, up from 8% last year. Leading chipmakers such as Taiwan's TSMC (2330.TW), opens new tab and South Korea's Samsung Electronics (005930.KS), opens new tab and SK Hynix (000660.KS), opens new tab are pioneering new methods such as advanced packaging in semiconductors, whereby they stack multiple chips into one "chiplet". That allows them to build even more powerful processors without having to shrink chip circuitry in order to squeeze in more transistors. One former TSMC executive predicted, opens new tab that within a decade, this technology could lead to a "multichiplet" containing more than 1 trillion transistors.
For investors, edge AI has the potential to mint more winners. So far, shareholders have assumed that most of the gains from AI will accrue to the biggest tech firms with the deepest pockets, as well as Nvidia and a handful of startups. Yet AI tools could prompt consumers to upgrade to newer and more sophisticated smartphones and personal computers. UBS analysts forecast combined sales in the two markets will surpass $700 billion by 2027, up 14% from this year. Brands from Apple to Lenovo (0992.HK), opens new tab – as well as their suppliers - all stand to benefit.
In semiconductors, Nvidia's advanced GPUs will still dominate. But other chip firms like Qualcomm (QCOM.O), opens new tab and MediaTek (2454.TW), opens new tab should also gain. The Taiwanese group is set to unveil its latest chipset that can support large models next month; executives expect revenue from its flagship mobile products can grow 50% this year.
As with the cloud-based variety, the success of edge AI will depend on coming up with compelling applications which users think are worth paying for. If that happens, the next big thing in AI will be found in smaller models and smaller devices.
cosors
👀
Thank you!
Today we are celebrating our reunification here in Germany, no more wall, no wall, no wall, break down the wall - break down the wall BREAK DOWN THE WALL
DIE MAUER MUSS WEG!
I find two other things from you DU extremely interesting.
One is Shiraz gin and the other, even more fascinating, is Shiraz sparkling wine.
Break down the wall
___
Sorry!
...not to forget Vegemite
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TheUnfairAdvantage
Regular
Trading pattern over last week or so has definitely changed. Today’s sell queue is showing signs that the shorts may be out. @Esq.111 might have a good opinion on how today might start and end.I'm getting myself prepared with a bit of a warm-up this morning, just in case...
View attachment 70285
I’m getting that Mercedes moment feeling.
My opinion only but @Bravo you best get your water stations ready as well. Could be more than just a quick sprint.
Good Morning TheUnfairAdvantage & fellow Chippers ,
Thinking the day will start with a little POP , 5% ish , followed by a little drop... 5.5% , then go BALISTIC up something in the order of 18% to 24% to finish.
Better volumes transacting, though still tiny on the German & US exchanges .
Such tiny volumes trading with the accompanying half decent % rises would lead me to belive few wish to sell , hence those that want in will have to pay a substantial premium for their tickets.
Just my thoughts.
AKIDA FRICKEN BALLISTA.
Regards,
Esq.
buena suerte :-)
BOB Bank of Brainchip
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DingoBorat
Slim
I was excited about this, but it does look like a coincidence..Is it more than just co-incidence that Raspberry Pi has a Pico Series as @Humble Genius alluded to yesterday?
We know that our team showed off AKIDA Pico on applications that detect keywords in speech and the example given in the article I posted yesterday was that this would be useful for voice assistance which wait for keywords to activate, which seems to be exactly what the Raspberry Pico requires.
Intentional or coincidental, only time will tell...
View attachment 70280
View attachment 70281
Raspberry Pi Pico 2: Improvements and details
(Bild: Raspberry Pi) Details about Raspberry Pi Pico 2, its features, improvements, and details thanks to the RP2350 chip.
(even though our partner Infineon, is also involved)..
Raspberry Pi Pico 2: Improvements and details
(Bild: Raspberry Pi) Details about Raspberry Pi Pico 2, its features, improvements, and details thanks to the RP2350 chip.
"In 2021, the original Raspberry Pi Pico and the RP2040 microcontroller, which is also available solo, were introduced. "In the three and a half years that have passed since then, we have sold nearly four million units of the Pico and its Wireless sibling, the Pico W," said Eben Upton, Chief Executive of Raspberry Pi Trading"
Maybe we are part of the new "wireless" version, if that has a new component, or if this latest one does?..
The name use, is definitely a coincidence though and possibly a problem, if already registered to Raspberry Pi?..
DingoBorat
Slim
Close to 4 times the average daily volume, over the last couple of months, is decent
TheUnfairAdvantage
Regular
Up 4%. Down 5%. Pretty close so far ESKY. Now let’s see that SP go BALLISTIC.
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