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El Nina was over before it happenedLa Nina, El Nino




El Nina was over before it happenedLa Nina, El Nino
Been walking down memory Lane again and tripped over this.This is intresting, I wonder which Neuromorphic Computing/ Spiking Neural Network (SNNSs) was used?.
After last night post from thelitteshort, it's most probably Brainchip's Akida. As their are no neuromorphic chips commercially available, other than Brainchip.
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Arijit Mukherjee on LinkedIn: #neuromorphic #physicalsciences #collaborative #research #problemsolving…
There's an interesting story behind this paper. That was a time when we were presenting our findings on neuromorphic at a workshop attended by many…www.linkedin.com
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Sounak Dey on LinkedIn: #neuromorphiccomputing #tcsresearch #neurips #neuralnetworks #research…
Spiking Neural Networks, coupled with Neuromorphic computing platforms, promises low-power training and inference at battery driven Edge devices. In a recent…www.linkedin.com
Learning
I have posted about this since reading the address of the CEO of Tata to shareholders back in 2020.
TomorrowAnyone know off the top of their head when Akida 2000 is supposed to be released? I thought it was soon.
I have posted about this since reading the address of the CEO of Tata to shareholders back in 2020.
In short he was apologising to shareholders for the need to maintain strict secrecy around their projects and customers until product release because of Chinese sponsored industrial espionage.
After the Brainchip and Tata Consulting Services joint presentation on 14.12.19 showing AKIDA performing live gesture identification of hand signals from audience members things went completely quiet.
The usual crowd used this silence to claim the relationship had ended in failure despite the clear statement by Tata’s CEO and despite the scientific papers being published by TCS members.
While it is speculation on my part the fact that Dr. Arijit Mukherjee and colleagues are being more outspoken could signal that they are close to releasing something involving AKIDA perhaps even his predicted robot.
My opinion only DYOR
FF
AKIDA BALLISTA
Oh good I'll save five bucks thenTomorrow
The truth is tomorrow will never come for AKD 2000 as the AKD 1000, 2000, 3000, 4000 & 5000 series was cancelled everyone should have received a memo.Tomorrow
I have never doubted. It was either that or Dr. Arijit Mukherjee constantly updating his LinkedIn with all things Brainchip was because he wanted a job and a house with a view of the Harbour and Opera House in Sydney.U.S. Patent Application for SYSTEM AND METHOD FOR REAL-TIME RADAR-BASED ACTION RECOGNITION USING SPIKING NEURAL NETWORK(SNN) Patent Application (Application #20210365778 issued November 25, 2021) - Justia Patents Search
This disclosure relates generally to action recognition and more particularly to system and method for real-time radar-based action recognition. The classical machine learning techniques used for learning and inferring human actions from radar images are compute intensive, and require volumes of...patents.justia.com
Yes I recall that discussion imo they are definitely still working with us. View attachment 23183
I'm terrible at snipping so maybe someone could pick out the juicy parts of the patent
Yep damn obvious things are a goer with Tata. I'm just waiting for Dr. Arijit Mukherjee to update his profile pic showing off his new Akida tattoo for further confirmationI have never doubted. It was either that or Dr. Arijit Mukherjee constantly updating his LinkedIn with all things Brainchip was because he wanted a job and a house with a view of the Harbour and Opera House in Sydney.
My opinion only DYOR
FF
AKIDA BALLISTA
The other influencing factor is that Dr. Arpan Pal Head of the Robotics group and to whom Dr.Arijit Mukherjee reports directly publishes papers one of which if memory serves was titled ‘Monitoring the Health of Man and Machine’ and all of this series of the proposals/solutions would be enhanced by SNN produced by a low powered semiconductor capable of working autonomously without connection.Yep damn obvious things are a goer with Tata. I'm just waiting for Dr. Arijit Mukherjee to update his profile pic showing off his new Akida tattoo for further confirmation![]()
Is this the one you are talking about?The other influencing factor is that Dr. Arpan Pal Head of the Robotics group and to whom Dr.Arijit Mukherjee reports directly publishes papers one of which if memory serves was titled ‘Monitoring the Health of Man and Machine’ and all of this series of the proposals/solutions would be enhanced by SNN produced by a low powered semiconductor capable of working autonomously without connection.
My opinion only DYOR
FF
AKIDA BALLISTA
My first thought was a WANCA re-education chip but even at AKIDA’s low power it would probably be too powerful and fry their remaining synapse.Whatever you can imagine, Akida can do it!
Yes but there was/is a series of papers on this point Dr. Arpan Pal has a special interest in remote health monitoring particularly for cardiac health and also aftermarket implementation for monitoring machines using vision and Neuromorphic computing (SNN).Is this the one you are talking about? View attachment 23184
Thanks for that bookmarked for further investigation.The following link takes you to Dr. Arpan Pal’s many, many Google citations:
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Dr. Arpan Pal
Distinguished Chief Scientist and Research Area Head, Embedded Systems, TCS Research, TCS - Cited by 6,082 - Embedded Systems - Computational Sensing - Signal/Image Processing and ML - Edge Computing and Edge AIscholar.google.com
This is but one of dozens:
System and method for real-time radar-based action recognition using spiking neural network (snn)
Inventors
DEY Sounak, Arijit Mukherjee, Dighanchal Banerjee, RANI Smriti, Arun George, Tapas Chakravarty, Arijit Chowdhury, Arpan Pal
Publication date
2021/11/25
Patent office
US
Application number
17122041
Description
This disclosure relates generally to action recognition and more particularly to system and method for real-time radar-based action recognition. The classical machine learning techniques used for learning and inferring human actions from radar images are compute intensive, and require volumes of training data, making them unsuitable for deployment on network edge. The disclosed system utilizes neuromorphic computing and Spiking Neural Networks (SNN) to learn human actions from radar data captured by radar sensor (s). In an embodiment, the disclosed system includes a SNN model having a data pre-processing layer, Convolutional SNN layers and a Classifier layer. The preprocessing layer receives radar data including doppler frequencies reflected from the target and determines a binarized matrix. The CSNN layers extracts features (spatial and temporal) associated with the target's actions based on the…
My opinion only DYOR
FF
AKIDA BALLISTA