buena suerte :-)
BOB Bank of Brainchip
Thanks Esqy ...:-(
Only around 5mil units for sell side yesterday so those 2.1mil now in play as we can see from the SP this morning :-(
BRN Discussion Ongoing
- Thread starter TechGirl
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Only around 5mil units for sell side yesterday so those 2.1mil now in play as we can see from the SP this morning :-(
Its in 1000 pieces....thats why I asked....What's in your crystal ball @Esq.111
DingoBorat
Slim
Interestingly a 2.12 million buy at the midpoint 20.7 cents at 11:405am today..
Not sure if there's any connection, but that's a big midpoint trade?..
HarryCool1
Regular
Morning Buena suerte
Thinking mildly positive.
That big spike in volume yesterday has confused my charting prowess for a little while.
Positive finnish, up three cents i shall go with = $0.25 finnish.
Regards ,
Esq
Or this maybe??
Schnitzel lover
Regular
Was probably CBA retail, I guess. CBA usually gets those Chi-x midpoint buys
Fullmoonfever
Top 20
Would be interesting to see the presentation slides on this tutorial from back in June and if any further insights into TCS and Akida research.
Excerpt.
Manan Suri (IIT Delhi), Sounak Dey (Tata Consultancy Services Ltd.), Arun M. George (TCS Research & Innovation)
INTRODUCTION
Embedding intelligence at the edge has become a critical requirement for many industry domains, especially disaster management, healthcare, manufacturing, retail, surveillance, remote sensing etc. Classical Machine learning or Deep learning (ML/DL) based systems, being heavy in terms of required computation and power consumption, are not suitable for Edge devices such as robot, drones, automated cars, satellites, routers, wearables etc. which are mostly battery driven and have very limited compute resource. Inspired from the extreme power efficiency of mammalian brains, an alternative computing paradigm of Spiking Neural Networks (SNN) also known as Neuromorphic Computing (NC), has evolved with a promise to bring in significant power efficiency compared to existing edge-AI solutions. NC follows non-von Neumann architecture where data and memory are collocated like brain neurons and SNNs handle only sparse event-based data (spikes) in asynchronous fashion. Inherently SNNs are very efficient to understand features in temporally varying signals and is found to efficiently classify/process auditory data, gestures/actions from video streams, spot keywords from audio streams, classify & predict time series from different sensors used in IoT, regenerate temporal patterns etc. The community is pursuing multiple sophisticated dedicated Neuromorphic hardware platforms such as: Intel Loihi, IBM TrueNorth, Brainchip Akida, SpiNNaker, DYNAPs to name a few.
Excerpt.
A Tutorial on Bio-Inspired Neuromorphic Computational Paradigms
PresentersManan Suri (IIT Delhi), Sounak Dey (Tata Consultancy Services Ltd.), Arun M. George (TCS Research & Innovation)
INTRODUCTION
Embedding intelligence at the edge has become a critical requirement for many industry domains, especially disaster management, healthcare, manufacturing, retail, surveillance, remote sensing etc. Classical Machine learning or Deep learning (ML/DL) based systems, being heavy in terms of required computation and power consumption, are not suitable for Edge devices such as robot, drones, automated cars, satellites, routers, wearables etc. which are mostly battery driven and have very limited compute resource. Inspired from the extreme power efficiency of mammalian brains, an alternative computing paradigm of Spiking Neural Networks (SNN) also known as Neuromorphic Computing (NC), has evolved with a promise to bring in significant power efficiency compared to existing edge-AI solutions. NC follows non-von Neumann architecture where data and memory are collocated like brain neurons and SNNs handle only sparse event-based data (spikes) in asynchronous fashion. Inherently SNNs are very efficient to understand features in temporally varying signals and is found to efficiently classify/process auditory data, gestures/actions from video streams, spot keywords from audio streams, classify & predict time series from different sensors used in IoT, regenerate temporal patterns etc. The community is pursuing multiple sophisticated dedicated Neuromorphic hardware platforms such as: Intel Loihi, IBM TrueNorth, Brainchip Akida, SpiNNaker, DYNAPs to name a few.
Pom down under
Top 20
Pom down under
Top 20
Bravo
If ARM was an arm, BRN would be its biceps💪!
Days not over yet.....
May see some more large after market transactions , IE. those who don't invest index funds yet track them in a private capacity, purely on the theoretical head nod from MSCI.
Bit like when the late Kerry Packer bought something others would follow.
Regards,
Esq.
May see some more large after market transactions , IE. those who don't invest index funds yet track them in a private capacity, purely on the theoretical head nod from MSCI.
Bit like when the late Kerry Packer bought something others would follow.
Regards,
Esq.
Easytiger
Regular
Listen to this until the end and you will get the only sentence we all here comprehend .
... including your two front teeth.
Fullmoonfever
Top 20
We got any dots with anyone through to Broadcom...would be nice
www.broadcom.com
Broadcom Inc. | Connecting Everything
Broadcom Introduces Industry’s First Switch With On-Chip Neural Network
The New Trident 5-X12 Doubles Bandwidth, Reduces Power By 25%, and Adds Neural Network To Enable Next-Generation Telemetry, Security and Traffic EngineeringSAN JOSE, Calif., Nov. 30, 2023 (GLOBE NEWSWIRE) -- In a world’s first for switching silicon, Broadcom Inc. (NASDAQ:AVGO) today announced a novel on-chip, neural-network inference engine called NetGNT (Networking General-purpose Neural-network Traffic-analyzer) in its new, software-programmable Trident 5-X12 chip.
buena suerte :-)
BOB Bank of Brainchip
Bravo
If ARM was an arm, BRN would be its biceps💪!
We needed to be doing this really fast
but somehow we got to be facing the wrong way doing this
Schnitzel lover
Regular
Bravo my lovely,
What’s your big tip for where Akida will be first mass produced into a product?
Have a nice weekend..
DingoBorat
Slim
Only that Broadcom tech was used in the AKIDA development kit..We got any dots with anyone through to Broadcom...would be nice
Broadcom Inc. | Connecting Everything
Broadcom Introduces Industry’s First Switch With On-Chip Neural Network
The New Trident 5-X12 Doubles Bandwidth, Reduces Power By 25%, and Adds Neural Network To Enable Next-Generation Telemetry, Security and Traffic Engineering
SAN JOSE, Calif., Nov. 30, 2023 (GLOBE NEWSWIRE) -- In a world’s first for switching silicon, Broadcom Inc. (NASDAQ:AVGO) today announced a novel on-chip, neural-network inference engine called NetGNT (Networking General-purpose Neural-network Traffic-analyzer) in its new, software-programmable Trident 5-X12 chip.
Akida™ Development Kit - Raspberry Pi
Specifications SoC: Broadcom BCM2711C0 quad-core ARM Cortex-A72 (ARMv8-A) 64-bit @ 1.5GHz GPU: Broadcom VideoCore VI RAM: 1GB, 2GB, 4GB, or 8GB LPDDR4 SDRAM Networking: GB Ethernet and Optional WI-FI Includes Akida on PCle Board installed in the development kit Includes Meta TF Software...
Bravo
If ARM was an arm, BRN would be its biceps💪!
Hi Schnitzy,
I just consulted with my crystal ball and my Ouija board and I'm going to go with Renesas with the fist mass produced chips expecting to be launched soon for their RA MCU families based on the new 22nm CMOS process.
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