Share price predictions please Proga, not to put you on the spot but I want to get my big calculator out again
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
MDhere
Regular
yep Tesla $891 a share and 1 . something million shares. no dividends. they are currently doing a x3 split in a few days times that's the proposed one.
Us at $1aud , i reckon at a blink of an eye (slow blink if you like) we will be at $5 and i guess @alwaysgreen did you mention 2 weeks ago you were ready to retire? How does anywhere between $5 and $891 sound?
HopalongPetrovski
I'm Spartacus!
I bought another 1K today and already won 10 euros, hmm now I'm wondering what I'll do with it
View attachment 13029
Labsy
Regular
Ride the train baaeeeby, ride the train.....There will be some pretty interesting decisions to make along the way as the SP climbs to $10, $20, $50, $100 etc. Does one clear debt by periodically selling down some shares or instead keep riding the train with a fully loaded holding for that 'Powerballesque' jackpot in 2027?
Certainly is nice to dream.
wilzy123
Founding Member
Haha 100%.
It's actually pretty f*$king ridiculous that this kind of information isn't as accessible as the current intraday share price IMO.
Not enabling this just makes me feel like the whole system is heavily infested with gravy train riders who could not care less about anything other than their own wealth.
wilzy123
Founding Member
Share price predictions please Proga, not to put you on the spot but I want to get my big calculator out again
Proga
Regular
You bet. On the 17th. If you scroll down to the 17th on the website you posted it shows it. BRN went from the 83rd most shorted to 50th. Thanks for the website.
It would help greatly, if we knew how many, if any, are being covered each day.. - spot on. From other stocks I have being shorted, they are. If you go into SYR you'll see all most weekly becoming a substantial holder and ceasing to be a substantial holder from UBS. It lists every trade and they are buying and selling every day. Also list when they borrowed stock/gave it back and how many shares they borrowed.
DollazAndSense
Regular
Espacenet – search results
Espacenet: free access to millions of patent documents. Find out if your invention is unique or if other inventors have filed patent applications that are considered to be prior art.
Espacenet – search results
Espacenet: free access to millions of patent documents. Find out if your invention is unique or if other inventors have filed patent applications that are considered to be prior art.
Just a little taste of the non technical gobbledygook I could actually understand of the patents. Looking forward to how we are implemented with Siemens Healthcare.
Don't you even think of bringing the ogre out..
[0030] Training of AI methods on knowledge graph data is typically an intensive task and therefore not implemented directly at the Edge, i.e., on the devices that produce the data. By Edge we refer to computing resources which either directly belong to a system that generates the raw data (e.g., an industrial manufacturing system), or are located very closely to it (physically and/or logically in a networked topology, e.g., in an shop-floor network), and typically have limited computational resources.
[0031] According to some embodiments, the industrial device and the method provide training AI algorithms on knowledge graph data which can be embedded directly into the industrial device, being able to continuously learn based on observations without requiring external data processing servers.
[0032] It is advantageous to train these algorithms directly at the devices producing the data because no data extraction or additional computing infrastructure is required. The latency between data observation and availability of a trained algorithm that the existing methods incur (due to the need to extract, transformation and process the data off-device) is eliminated.
[0034] According to some embodiments, the industrial device and the method integrate learning and inference in a single system, which eliminates the need to extract data. The learning system is able to adapt dynamically to data events, as well as more responsive. According to some embodiments, operator input and feedback can control the learning process.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Yes, I agree with you @Proga. I believe they are already familiar with BrainChip for this reason. On a previous post #9,173 I found an article that stated "At the Mercedes EQXX reveal, Mercedes chief technology officer Markus Schäfer noted that the concept was a running and driving protoype, which uses "a version of the existing MBUX infotainment system".
I thought Markus was indicating here that it was the same as the existing MBUX infotainment system, in other words also using the same LG OLED display built into the MBUX Hyperscreen, with the only difference being that the EQXX version would incorporate AKIDA.
On this post I also tried to delve a bit further into links between LG & Cerence.
Hope that makes some sense because sometimes I even manage to confuse myself.
DingoBorat
Slim
Wow, that was a big day!
I must have been sleeping
.. So the..
"Latest Reported Shorts (Aggregate)"
Is the quantity of shorts, still to be covered from the previous day then right?A fair amount of the new shorts, must be covering as they can, leaving the stale shorts, under 90 cents to rot..
Unless they are using some of the profits of the new shorts, to cover, covering of the old shorts
.. My head hurts, where's my Bex?..
Sirod69
bavarian girl ;-)
How silicon innovation became the ‘secret sauce’ behind AWS’s success
This has led to the creation of a healthy market where chip companies have realized they don’t need to build everything in house, in much the same way software companies have realized they can buy libraries from open source or other library providers. The industry has matured to the point where now there is a healthy business model around buying building blocks, or IPs, from providers like Arm, Synopsys, Alphawave, or Cadence.
How silicon innovation became the ‘secret sauce’ behind AWS’s success
Nafea Bshara, AWS vice president and distinguished engineer, discusses Annapurna Lab’s path to silicon success; Annapurna co-founder was a featured speaker at AWS Silicon Innovation Day virtual event.
www.amazon.science
Bravo
If ARM was an arm, BRN would be its biceps💪!
I bought another 1K today and already won 10 euros, hmm now I'm wondering what I'll do with it
View attachment 13029
Well, firstly @Sirod69 , might I suggest that you could start by buying another bottle of champagne for yourself since you threw half of your first bottle over your shoulder!
D
Deleted member 118
Guest
Last edited:
Deena
Regular
Hi JK. There seems to be some confusion amongst some posters about how shorting works, so I will try to explain it in a simple way from my understanding. If it's not quite right I'm sure someone will correct the record.
1. Lets say a big institution is accumulating say a tech company involved in AI using SNN. It could be any company which has commercial hardware available, so feel free to pick any one!
2. So the large fund / insto has a sh1t load of these AI shares and they say. Well we have all these shares sitting here, we can just sit on them and wait for them to go up or is there some other way to make money from them. I KNOW! Let's lend them to some shorter. We charge them an upfront fee and a percentage of their value to lend them out for a pre-arranged maximum time ... with the proviso that we can call them in at any time if the sorters position looks challenged.
3. The shorter then, now has a sh1t load of borrowed shares. As a shorter here is my tactics. Firstly I dump a whole bunch of the borrowed shares on the market at a critical time - usually following a recent rise while running down the shares to produce negative sentiment.
4. Some holders will have a stop loss in place and because of the sudden drop in the market these stop losses are hit, prompting a further drop in the market.
5. Other retail holders see the share price dropping, panic and also sell. As the prices fall the shorters step back in and buy back the shares for much less than what they sold for. They then return the shares with the interest from who they borrowed from, and pocket their profits.
6. Of course, if the price goes up instead of down, then the shorters get caught in a short squeeze. They still have to buy back the shares to return them, but they pay more rather than less.
Last edited:
D
Deleted member 118
Guest
Yes, I agree with you @Proga. I believe they are already familiar with BrainChip for this reason. On a previous post #9,173 I found an article that stated "At the Mercedes EQXX reveal, Mercedes chief technology officer Markus Schäfer noted that the concept was a running and driving protoype, which uses "a version of the existing MBUX infotainment system".
I thought Markus was indicating here that it was the same as the existing MBUX infotainment system, in other words also using the same LG OLED display built into the MBUX Hyperscreen, with the only difference being that the EQXX version would incorporate AKIDA.
On this post I also tried to delve a bit further into links between LG & Cerence.
Hope that makes some sense because sometimes I even manage to confuse myself.
cosors
👀
SoundHound published a patent a few days ago. Maybe @Diogenese will take a look at it: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!
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
"Applicants
SOUNDHOUND INC [US]Inventors
WIEMAN MAISY [US]; SPENCER ANDREW CARL [US]; L{HACEK OVER (I)} ZÌLÌ [US]; VASCONCELOS CRISTINA [CA]Classifications
IPCG06N3/04; G06N3/08; G10L15/16; G10L15/22;
CPC
G06N3/04 (US); G06N3/0445 (EP); G06N3/0454 (EP); G06N3/084 (EP,US); G10L15/16 (EP,US); G10L15/22 (US); G06N3/0481 (EP);
Priorities
US202016790643A·2020-02-13Application
US202016790643A·2020-02-13Publication
US11392833B2·2022-07-19Published as
US11392833B2;US2021256386A1
EN
Neural acoustic model
Abstract
An audio processing system is described. The audio processing system uses a convolutional neural network architecture to process audio data, a recurrent neural network architecture to process at least data derived from an output of the convolutional neural network architecture, and a feed-forward neural network architecture to process at least data derived from an output of the recurrent neural network architecture. The feed-forward neural network architecture is configured to output classification scores for a plurality of sound units associated with speech. The classification scores indicate a presence of one or more sound units in the audio data. The convolutional neural network architecture has a plurality of convolutional groups arranged in series, where a convolutional group includes a combination of two data mappings arranged in parallel."https://worldwide.espacenet.com/patent/search/family/077272717/publication/US11392833B2?q=11392833
Last edited:
alwaysgreen
Top 20
$891 would make me a billionaireyep Tesla $891 a share and 1 . something million shares. no dividends. they are currently doing a x3 split in a few days times that's the proposed one.
Us at $1aud , i reckon at a blink of an eye (slow blink if you like) we will be at $5 and i guess @alwaysgreen did you mention 2 weeks ago you were ready to retire? How does anywhere between $5 and $891 sound?
I'll be happy with $10!
Fact Finder always said to have a plan - well how's this: Destination 2027, SP north of 150 bucks....retirement
All that needs to be done is hold through thick and thin while BRN's AKIDA becomes ubiquitous 
$150 just imagine that......
D
Deleted member 118
Guest
Similar threads
