Morning Esq.. sounds promisingMorning Chippers
Possibly using Brainchip tech?...
SpaceX only hours ago launched a NASA / EU rocket to study the earth's waterways, oceans and water resivours on 16th Dec.
SWOT , Surface Water & Ocean Topography.
Global survey of earth's surface water.
10 fold improvement in spatial resolution.
NADIR Actimeter & the Ka-Band Radar or KaRln for short.
???
Regards,
Esq.
Socionext is a system on a chip company formed in March 2015 from former system LSI businesses of Fujitsu and Panasonic. It has about 2,500 employees worldwide and is headquartered in Yokohama, Japan. It is privately held by the Development Bank of Japan, Fujitsu, and Panasonic.New Google Pixel 7 & 7 Pro phones released in October this year have a new Google Tensor G2 chip with upgraded TPU for AI.
Codenamed Cloudripper it features multiple ARM chips manufactured by Samsung on 4nm.
Dev board code name Cloudripper Model number GS201, Tensor G2 Cores 2x super-big ARM Cortex-X1, 2x big A78, 4x small Cortex-A55 GPU Mali-G710 Manufacturing node 4nm Samsung PLP Modem Samsung Exynos 5300 5G
Google talked about the Tensor G2 and said that it would bring "even more AI-heavy breakthroughs and helpful, personalized experiences across speech, photography, video, and security." And sure enough, the company delivers. The Pixel 7 can take and process night sight images up to two times faster than the Pixel 6. There is also a new Unblur feature on board that fully fixes slightly blurred images. Further, speech recognition has been improved, with the Pixel 7 processing dictated text faster than the Pixel 6, all without sending your audio snippets to servers.
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Google Tensor G2: All the details on the Pixel 7's custom chipset
Google is hitting the custom silicon game hard! 🔥www.androidpolice.com
No mention of edge only TPU (Tensor Processing Unit).
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software.[1] Google began using TPUs internally in 2015, and in 2018 made them available for third party use, both as part of its cloud infrastructure and by offering a smaller version of the chip for sale.
Wonder if there is Akida IP on one of the ARM chips?
And I think there may be something going on with Fujitsu for new AI sensors. And Apple's new VR headsets.
This is pretty interesting!
You know how LG Electronics' are working in close collaboration with trusted partner Mercedes-Benz? If you don't check out the link dated 12 Jan 2022 below which says "As an innovative partner for future mobility, LG Electronics' Vehicle component Solutions (VS) Company is working with global automakers such as Mercedes-Benz AG to become a leading developer of connectivity, infotainment and ADAS solutions to deliver differentiated in-vehicle experiences".
You also knew it was LG Electronics'newest premium in-vehicle infotainment (IVI) system that will be a central feature in the 2022 Mercedes-Benz EQS EV sedan, etc.
Well now it has just recently been annoucement (cupla days ago) that LG and SoundHound are teaming up to develop an advanced AI voice system to enable conversational voice control in vehicles. SoundHound's voice recognition technology will be integrated with LG's in-vehicle infotainment (IVI) system, allowing drivers to control key functions using natural language commands.
LG and SoundHound, say hello to AKIDA!
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LG Partners With SoundHound to Bring Voice AI Technology to Its Next-Gen IVI Systems | LG NEWSROOM
LG has signed a memorandum of understanding with SoundHound AI, Inc., to jointly develop advanced voice AI technology for the next-generation of in-vehicle infotainment (IVI) systems.www.lgnewsroom.com
LG'S ADVANCED IN-VEHICLE INFOTAINMENT SYSTEM FEATURED IN NEW LUXURY ELECTRIC SEDAN
/CNW/ - LG Electronics' (LG) newest premium in-vehicle infotainment (IVI) system will be a central feature in the 2022 Mercedes-Benz EQS EV sedan, the Pillar...www.newswire.ca
Flashback to 2020 when Loihi was still only 5 years away from a commercial offering.
Whilst the article doesn't reference BrainChip specifically the use cases now have Akida written all over them and we know where MB pivoted to in order to gain the significant boost for AI applications within their vehicles. Interesting reference to "...in and around" as well.
Cheers.
Smarter Cars: Auto Makers Experiment With Chips That Think Like Humans
Mercedes-Benz is exploring how neuromorphic chips could bring new AI capabilities to its vehicles
By Sara Castellanos
Dec. 10, 2020 3:25 pm ET
Experimental computer chips that try to mimic the way human brains work could accelerate the use of voice and gesture commands in automobiles, researchers at Intel Corp. and Accenture PLC say.
The cutting-edge technique, known as neuromorphic computing, could use significantly less energy than traditional computer- and graphic-processing units that connect wirelessly to a car via the cloud. Today’s cars don’t have the AI capabilities to recognize many speech and gesture commands, in part because of the energy requirements necessary to make those functions work.
Car makers are recognizing the need for AI methods that consume less energy, which is one reason why neuromorphic computing can be beneficial, said Tim Shea, technology researcher at Accenture Labs. “They’re already running up against limitations of [current chips] not being scalable enough,” he said.
German auto maker Mercedes-Benz AG announced last week it had joined the Intel Neuromorphic Research Community to explore how neuromorphic chips could help increase energy efficiency, speed and accuracy for vehicle-related AI uses.
“With the knowledge we’ll gain, we want to achieve a significant boost for our AI applications in and around our vehicles,” said Jasmin Eichler, director of future technologies at Mercedes-Benz, in a statement.
Intel’s neuromorphic chips could begin selling commercially within five years, according to Mike Davies, director of Intel’s Neuromorphic Computing Lab.
Applications powered by neuromorphic chips inside a car could help recognize when a person is shivering and automatically adjust the temperature, Accenture Labs researchers say. They could also recognize a voice command to turn on the car or roll down the window. The chips would be integrated in the car itself and would not need to connect to the cloud in order to work.
Accenture Labs worked on a neuromorphic computing experiment this year with an undisclosed car maker. In the experiment, a neuromorphic chip made by Intel Labs, named Loihi, recognized voice commands such as “start the engine.” The chip consumed 1,000 times less power and responded 200 milliseconds faster than a standard GPU, Mr. Shea said.
Intel is among several companies, universities and startups, such as International Business Machines Corp. , SynSense and Applied Brain Research, that are studying neuromorphic computing. “The industry is looking for new ways of developing AI systems with much lower power consumptions,” said Alan Priestley, AI technologies analyst at research firm Gartner Inc.
Energy consumption is an impediment to some AI deployments. Developing a single AI model, for example, can have a carbon footprint equivalent to the lifetime emissions of five average U.S. cars, according to researchers at the University of Massachusetts, Amherst.
With neuromorphic computing, it is possible to train machine-learning models using a fraction of the data it takes to train them on traditional computing hardware. That means the models learn similarly to the way human babies learn, by seeing an image or toy once and being able to recognize it forever, The Wall Street Journal has previously reported.
The technique uses significantly less energy than today’s GPUs, which are one of the main computer chips used for AI systems, especially neural networks. Neural networks are used in speech recognition and understanding, as well as computer vision.
Another advantage of the computing technique is that it is “event-driven,” meaning it is only computing and using energy when it is activated by an event, such as a voice or gesture command. “It’s not just computing all the time in a uniform way, whether there’s activity or not,” said Alex Kass, a fellow and principal director at Accenture Labs.
Neuromorphic chips can be placed inside cars to do the computing “at the edge,” or inside the car itself, without needing to access the cloud. That means the AI functions always work, even in areas with bad connectivity, such as national forests, Accenture researchers say.
The chips are expected to be the predominant computing architecture for new, advanced forms of AI deployments by 2025, according to Gartner. By that year, Gartner predicts the technology will displace graphics-processing units.
Write to Sara Castellanos at sara.castellanos@wsj.com
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Smarter Cars: Auto Makers Experiment With Chips That Think Like Humans
Experimental computer chips that try to mimic the way human brains work could accelerate the use of voice and gesture commands in cars, researchers say.www.wsj.com
All I can Picture is the Brainchip team lead by PVM sitting back thinking, why all this fuss? We made it very clear early on what we had and where we were going with it. What part of "EVERYWHERE" and "EVERYTHING" was so difficult to understand?
Anyway back to finalizing the AKIDA 2000 and hopefully people caught on what this will achieve, transformers anyone? Here's a quick reminder, what they say is pretty much what will happen.
View attachment 24582
I'll finish with a challenge, make a list of what the Brainchip team have said, and not achieved? $5 Billion+ MC in the short term is what they've thought, so anyone keen on making 4-5 x their money in the short term? Just sayin'![]()
Let the next 4C bring substance to Peter's and Sean's intoxicating words of "Explosive Sales" .... after all they did tell us to watch the finacials !!!!."We made it very clear early on what we had and where we were going with it. What part of "EVERYWHERE" and "EVERYTHING" was so difficult to understand?"
Also don't forget the very intoxicating words from PVM,....something to the effect of ...... we will be having EXPLOSIVE SALES.
dippY
As pointed out by other posters I wouldn't be counting on any particular 4C to form a view of the value in owning BRN.Let the next 4C bring substance to Peter's and Sean's intoxicating words of "Explosive Sales" .... after all they did tell us to watch the finacials !!!!.
I really hope soLet the next 4C bring substance to Peter's and Sean's intoxicating words of "Explosive Sales" .... after all they did tell us to watch the finacials !!!!.
This is a good case of when you see your own dad naked as a grown man.
"Highly unlikely US terminal rate will be 5.1%. The Fed has finished hiking regardless of what they say"Updated US employment data from Philadelphia Fed.
Fed used manipulated data of 368k for April (18k actual), 386k for May (36k actual) & 293k for June (-57k actual) by loading each month with 350k jobs.
Early Benchmark Revisions of
State Payroll Employment
RESEARCH DEPARTMENT
2022 Q2 Vintage
Release Date:
December 13, 2022
Early Benchmarks for All 50 States and the District of Columbia
Estimates by the Federal Reserve Bank of Philadelphia indicate that the employment changes from March through June
2022 were significantly different in 33 states and the District of Columbia compared with current state estimates from
the Bureau of Labor Statistics’ (BLS) Current Employment Statistics (CES). Early benchmark estimates indicated higher
changes in four states, lower changes in 29 states and the District of Columbia, and lesser changes in the remaining 17
states.
Our estimates incorporate more comprehensive, accurate job estimates released by the BLS as part of its
Quarterly Census of Employment and Wages (QCEW) program to augment the sample data from the BLS’s CES that
are issued monthly on a timely basis. All percentage change calculations are expressed as annualized rates. Read
more about our methodology. Learn more about interpreting our early benchmark estimates.
In the aggregate, 10,500 net new jobs were added during the period rather than the 1,121,500 jobs estimated by the sum of the
states; the U.S. CES estimated net growth of 1,047,000 jobs for the period.
https://www.philadelphiafed.org/-/m...-revisions/early-benchmark-2022-q2-report.pdf
US 2 years bond yields have rolled over = rate rises finished. Chart with US02Y overlayed with USINTR shows everytime the US02Y rolls over is at peak of rate rise cycle. April 1989, January 1995, June 2000, July 2006, November 2018 rate rises peaked when US 2 year rolled over like now.
Highly unlikely US terminal rate will be 5.1%. The Fed has finished hiking regardless of what they say.
When will the market wake up? January 2023 like January 2019?
The missing link!
The dominoes are beginning to fall.
After the ‘Eyes‘ were unable to find a true blue competitor, it was always only a matter of time before the likes of Intel swallowed their pride and joined the Akida revolution. They just had to find a way to save face before doing so, and inviting Brainchip to join their IFS programme was the perfect foil. Have no doubt, a license is not far away.
Can you imagine the panic going on within the hierarchy of IBM and other biggies right now. If they want to stay in the game, they must ”do an Intel” and join the revolution...they simply have no choice.
If they still think they can take another route, the imminent release of Akida 2.0 will blow these thoughts asunder. Everyone will eventually use Akida in some way. It’ll be in everything…even your Weet-Bix !!
The thought of using NDA’s and other confidentiality agreements amuses me, cos they’ve now clearly passed their use by date. They’re simply mechanisms where everyone is trying to keep the same secret from everybody else…AKIDA !!
The dominoes are beginning to fall.
After the ‘Eyes‘ were unable to find a true blue competitor, it was always only a matter of time before the likes of Intel swallowed their pride and joined the Akida revolution. They just had to find a way to save face before doing so, and inviting Brainchip to join their IFS programme was the perfect foil. Have no doubt, a license is not far away.
Can you imagine the panic going on within the hierarchy of IBM and other biggies right now. If they want to stay in the game, they must ”do an Intel” and join the revolution...they simply have no choice.
If they still think they can take another route, the imminent release of Akida 2.0 will blow these thoughts asunder. Everyone will eventually use Akida in some way. It’ll be in everything…even your Weet-Bix !!
The thought of using NDA’s and other confidentiality agreements amuses me, cos they’ve now clearly passed their use by date. They’re simply mechanisms where everyone is trying to keep the same secret from everybody else…AKIDA !!