My questioning of their earlier collaboration was confirmed as having ended in 2022. FF also confirmed it so it must be true.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Bravo
If ARM was an arm, BRN would be its biceps💪!
You're not alone Food4thought. We've probably all had moments when the weight of this incredibly looooooooooooooooooooong journey just cant help but get the better of us. It’s okay to feel frustrated. This isn’t just numbers on a screen - it's a real personal investment.
Behind the scenes BrainChip is executing on a very deep-tech roadmap, not a gimmick.
Tony’s recent LinkedIn post about applying state-space models (TENNs) directly to raw radar - skipping image conversion and drastically reducing latency and power - has given me renewed hope that BrainChip is leading with novel architecture in what is a very disruptive field. This could have huge implications not just in defense, but also in automotive radar, medical edge AI, and industrial safety systems as has been discussed to day.
Patents, the roadmap, our partner ecosystem and strategic positioning matter and BrainChip appears to be checking all of those boxes steadily, albeit it much more quietly than many of us would like.
I'm sure that our patience will rewarded - hopefully at some point in the not too distant future.
B
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Food4 thought
Regular
It would seem that we don’t actually know who has taken payment of the shares
Do we ???
Food4 thought
Regular
Thanks mateYou're not alone Food4thought. We've probably all had moments when the weight of this incredibly looooooooooooooooooooong journey just cant help but get the better of us. It’s okay to feel frustrated. This isn’t just numbers on a screen - it's a real personal investment.
Behind the scenes BrainChip is executing on a very deep-tech roadmap, not a gimmick.
Tony’s recent LinkedIn post about applying state-space models (TENNs) directly to raw radar - skipping image conversion and drastically reducing latency and power - has given me renewed hope that BrainChip is leading with novel architecture in what is a very disruptive field. This could have huge implications not just in defense, but also in automotive radar, medical edge AI, and industrial safety systems as has been discussed to day.
Patents, the roadmap, our partner ecosystem and strategic positioning matter and BrainChip appears to be checking all of those boxes steadily, albeit it much more quietly than many of us would like.
I'm sure that our patience will rewarded - hopefully at some point in the not too distant future.
B
You are a legend
Well my truancy has caught up with me. I was away the day we did Pleaides.
The trick with patents is that the claims define the invention:
1 . A neural network system, comprising:
an input interface configured to receive sequential data that includes input data sequences;
a memory configured to store a plurality of group of first basis function values, a first plurality of storage buffers corresponding to a current neural network layer, and implement a neural network that includes a first plurality of neurons for the current neural network layer, a corresponding group among the plurality of groups of the first basis function values is associated with each connection of a corresponding neuron of the first plurality of neurons;
a processor, to perform a projection operation, configured to:
allocate the first plurality of storage buffers to a first group of neurons among the first plurality of neurons;
receive, from corresponding input data sequences over a first sequence window, a first input data sequence of the corresponding input data sequences into the first plurality of storage buffers allocated to the first group of neurons;
project the first input data sequence on a corresponding basis function values among the corresponding group of the first basis function values by performing, for each connection of a corresponding neuron of the first group of neurons, a first dot product of the first input data sequence of the corresponding input data sequences within a corresponding storage buffer of first plurality of storage buffers with the corresponding basis function values, wherein the corresponding basis function values is associated with a corresponding connection of the corresponding neuron of the first group of neurons;
determine a corresponding potential value for the corresponding neurons of the first group of neurons based on the performed first dot product; and
generate a plurality of encoded output responses based on the determined corresponding potential values.
This is definitely a case where a picture is worth 1000 words, (I hope you are all paying attention because I shall say this only once):
[0102] FIG. 4 A illustrates an overall method for encoder projection operations according to some embodiments. In some embodiments, the encoder projection operations may be implemented in system 300 . In a non-limiting example, the system 300 may include an encoder network, and a decoder network or a generator network. In some embodiments, the input signal is projected onto each basis function values of a set of basis functions in each neural network layer to generate corresponding projection coefficients. In a non-limiting example, three sets of basis functions are considered for the sake of brevity. However, the number of basis functions may be more than three and depends on the required application. Accordingly, when the input signal is projected onto the three basis function values derived from corresponding basis functions by performing a dot product of the input signal with each of the basis function values, three corresponding projection coefficients are generated, that is to say, Ci (t)={C1 (t), C2 (t), C3 (t), . . . } are generated respectively. The generated projection coefficients are then multiplied by a corresponding multiplying kernel gain factor Gi (t)={G1 (t), G2 (t), G3 (t), . . . }. Further, each of the corresponding resultant outputs is then passed through a corresponding non-linear activation function. Accordingly, for the encoder projection operations in the buffer mode, a plurality of encoded output responses are generated based on the performed dot product. In a non-limiting example, the plurality of output responses is shown as {tilde over (C)}i (t)={{tilde over (C)}1 (t), {tilde over (C)}2 (t), {tilde over (C)}3 (t), . . . }. Accordingly, the activity within the neural network represents the projection coefficients, or a nonlinear transformation of the projection coefficients. Thus, the projection coefficients are not constants but depend on time, even during the inference operations. Further, contrary to the temporal convolution operation that is performed in FIG. 3 A and FIG. 3 B, the convolution operation is replaced by a projection operation, thereby outputting a vector output rather than a scalar output.
The trick with patents is that the claims define the invention:
1 . A neural network system, comprising:
an input interface configured to receive sequential data that includes input data sequences;
a memory configured to store a plurality of group of first basis function values, a first plurality of storage buffers corresponding to a current neural network layer, and implement a neural network that includes a first plurality of neurons for the current neural network layer, a corresponding group among the plurality of groups of the first basis function values is associated with each connection of a corresponding neuron of the first plurality of neurons;
a processor, to perform a projection operation, configured to:
allocate the first plurality of storage buffers to a first group of neurons among the first plurality of neurons;
receive, from corresponding input data sequences over a first sequence window, a first input data sequence of the corresponding input data sequences into the first plurality of storage buffers allocated to the first group of neurons;
project the first input data sequence on a corresponding basis function values among the corresponding group of the first basis function values by performing, for each connection of a corresponding neuron of the first group of neurons, a first dot product of the first input data sequence of the corresponding input data sequences within a corresponding storage buffer of first plurality of storage buffers with the corresponding basis function values, wherein the corresponding basis function values is associated with a corresponding connection of the corresponding neuron of the first group of neurons;
determine a corresponding potential value for the corresponding neurons of the first group of neurons based on the performed first dot product; and
generate a plurality of encoded output responses based on the determined corresponding potential values.
This is definitely a case where a picture is worth 1000 words, (I hope you are all paying attention because I shall say this only once):
[0102] FIG. 4 A illustrates an overall method for encoder projection operations according to some embodiments. In some embodiments, the encoder projection operations may be implemented in system 300 . In a non-limiting example, the system 300 may include an encoder network, and a decoder network or a generator network. In some embodiments, the input signal is projected onto each basis function values of a set of basis functions in each neural network layer to generate corresponding projection coefficients. In a non-limiting example, three sets of basis functions are considered for the sake of brevity. However, the number of basis functions may be more than three and depends on the required application. Accordingly, when the input signal is projected onto the three basis function values derived from corresponding basis functions by performing a dot product of the input signal with each of the basis function values, three corresponding projection coefficients are generated, that is to say, Ci (t)={C1 (t), C2 (t), C3 (t), . . . } are generated respectively. The generated projection coefficients are then multiplied by a corresponding multiplying kernel gain factor Gi (t)={G1 (t), G2 (t), G3 (t), . . . }. Further, each of the corresponding resultant outputs is then passed through a corresponding non-linear activation function. Accordingly, for the encoder projection operations in the buffer mode, a plurality of encoded output responses are generated based on the performed dot product. In a non-limiting example, the plurality of output responses is shown as {tilde over (C)}i (t)={{tilde over (C)}1 (t), {tilde over (C)}2 (t), {tilde over (C)}3 (t), . . . }. Accordingly, the activity within the neural network represents the projection coefficients, or a nonlinear transformation of the projection coefficients. Thus, the projection coefficients are not constants but depend on time, even during the inference operations. Further, contrary to the temporal convolution operation that is performed in FIG. 3 A and FIG. 3 B, the convolution operation is replaced by a projection operation, thereby outputting a vector output rather than a scalar output.
Attachments
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HopalongPetrovski
I'm Spartacus!
Hey Mate.
I hear you.
It's been a hard period for many (including myself), for some time now.
And it sucks when things don't work out quite how we would have liked.
These market conditions have been tough going for many and it's all somewhat exacerbated by the political tensions and uncertainty which has rapidly become the new norm.
I think in times like these, it's good perhaps, to take a time out, in whatever way makes sense to you, and is conducive to your unique circumstances.
Perhaps find a way to get yourself some greater perspective and try and look at your situation afresh and perhaps reevaluate your strategy.
Keep what's working and prune what's not.
I personally am still a believer in what BrainChip can offer, but the time it is taking to prove out commercially is testing many's patience.
And it may not succeed.
We have to be realistic in this regard and remain accountable to both ourselves and those who rely upon us.
That's part of the risk/reward scenario we each must weigh up for ourselves on an ongoing basis.
There are many who will try and persuade you one way or the other and if you are reading from the crapper I would suggest giving it a miss for a while. Here is a more generally balanced environment and the unrelenting toxicity over there can be wearing and not conducive to good mental health.
I can't, in good conscience, advise you on any particular course of action but would suggest that tomorrow is a new day, a new financial year and that often its darkest just before the dawn.
Mere platitudes I know, but rooted in some tried and tested experience.
Good luck to you and all the other honest holders in good faith, out there.
I think we deserve a win.
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The DoD just dropped its FY26 RDT&E budget—and it’s a $179B North Star for anyone building the future of national defense. | Greg Knutson
The DoD just dropped its FY26 RDT&E budget—and it’s a $179B North Star for anyone building the future of national defense. Here’s what’s hot (and heavily funded): 🤖 Unmanned Systems & Physical AI – The budget is stacked with programs for launched effects, ground robotics, SUAS, TITAN, and...
Is it likely that we may get a few dollars?
yes but USD...
overpup
Regular
I can’t offer advice, but I can say you are not alone… I have been feeling some despair re BRN of late
I am starting to get shit from friends and family now…
(“Hey are you a millionaire yet”)
(“hey got any more expert advice for me moneybags”) etc etc
you get the picture
it’s kind of become a running joke to them and I look like a sucker in their eyes lol maybe they are right too which gets me down even more!
Stay strong overpup,
I know you have been with us for many years, the technology has progressed as has the education process, Peters tech has been proven to be years ahead, and that has been a major time delay hurdle.
Today's 3.6 million share issue to settle a third party contractor is a very positive sign in my opinion, yes it dilutes the share register, but delays another Cap. Raise, maybe some see it as a non event, but looking deeper there's an element of trust being shown by the contractor who is on the "inside" looking out, they must be comfortable in what's transpiring.
On another point, Dr. Tony maybe just hinting that he and the engineering team are awaiting the delivery of chip/s from the foundry, as chips are back on the agenda in my opinion, my crystal ball is known to be accurate at times.
With tomorrow being a brand new financial year it will be interesting to see if the washout of shares will cease, another quarter comes to an end, so within the next 20 trading days we will get to see if any new revenue has entered our bank account.
The tide has definitely been out for way too long, the next 6 months may see a high tide return and refloat our share price a touch !?
Regards....Tech
Hi Rach,
The DoD just dropped its FY26 RDT&E budget—and it’s a $179B North Star for anyone building the future of national defense. | Greg Knutson
The DoD just dropped its FY26 RDT&E budget—and it’s a $179B North Star for anyone building the future of national defense. Here’s what’s hot (and heavily funded): 🤖 Unmanned Systems & Physical AI – The budget is stacked with programs for launched effects, ground robotics, SUAS, TITAN, and...www.linkedin.com
Is it likely that we may get a few dollars?
With regard to our connexions with AFRL and other branches of DoD, as well as DoE (included for cybersecurity), and companies like RTX, Lockheed, etc., all of which have pressing needs to develop flexible/adaptable SWaP AI, as Mr Creosote says, "I'll have the lot!".
$30M for a production run of Akida 2 and Akida 3 will be a drop in the bucket.
I think the urgency is such that it's possible they could bypass Akida 2 and move straight to Akida 3/GenAI with the flexible instruction set architecture. This is the sort of tech the US Gvt would not want potential rivals to get their hands on ... not that that would have provided any impetus to redomicile ... or explain certain AGM agitation ...
DingoBorat
Slim
Yeah it seems I "misdirected" my energies onto another major holding of mineThere’s your announcement @DingoBorat
..Vection Technologies had a major deal today 4.4 million, for military defence in connection with NATO.
This is in addition to a 2.6 million A.I. agreement last week..
The following, is a compiled list by a "CP18" from the crapper of deals and partnerships, from this year, which doesn't include the above and was posted 19/05.
"Here’s an updated summarized list of Vection Technologies’ (VR1) deals announced in FY25 along with their values
XR & AI Software Contracts
- $3.6M: XR software licenses with Cometa SpA for immersive classroom solutions in 500 high schools in Italy
- $1.6M: 3-year AI software license for Brexia Med healthcare project, with an option for an additional $1M over 2 years.
- $0.5M: AI software contract with RCM Italia s.r.l., generating $0.4M in FY25 with recurring $50K annual fees from 2026.
- $0.5M: XR contracts for Vection’s Shelfzone VR, including partnerships with Natuzzi and Nestlé.
- $1.6M: 3-year strategic distribution agreement with SolidWorld Group S.p.A to reach 10,000+ clients in EMEA.
- $0.7M: KIOSK Embedded Systems (KISE) AI-ready systems deal, with $0.06M delivered in FY25.
- $0.5M: Algho AI platform contracts from multiple public and private sector clients in Europe.
- $0.7M: SaaS agreement with TOTALPLAY, a Mexican telecom provider.
- $0.9M Strategic AI & XR Partnership with Smartengineering
- $0.6M Vection delivers in additional AI recurring revenue adding 14 new clients
- $1.2m deal in the food and beverage industry through project ADDICTA
- $0.5M yearly minimal commitment through AI partnership with Area 12 Consulting supplying Algho software licences
- $1.7M PARTNERSHIP DEAL WITH LAERDAL for a collaboration in Healthcare training.
Healthcare & Research
- $160K per year: Massachusetts General Hospital (MGH) license renewal, with $0.26 per conversation usage fee.
- $0.6M: 3-year agreement with Augmentalix, a French XR technology provider.
Defence & Cybersecurity
- $1.8M: Defence contract with European local government.
- $4M: Defence contract extension, focused on AI-powered infrastructure design and Dell AI appliances.
- $0.5M: Cybersecurity-focused ICT endpoints contract in the Defence sector, revenue expected in Q2 FY25.
Strategic Partnerships & Expansions
- $0.6M: Distribution deal with Synergy in Bulgaria, targeting $600K in sales by 2027.
- $0.6M: EnginSoft SpA distribution deal for SaaS XR and AI solutions in Italy, France, and Germany.
- Undisclosed Value: Vection partners with DigiLens Inc. for XR smart glasses & global market expansion.
- Undisclosed Value: Partnership with CareAR (a Xerox company) to expand into the USA market.
- $0.7M: TDB secures annual recurring contracts, including 24 new clients.
- $0.4M of this will be recognized in FY25, with the rest in early next financial year.
Financial Services & Insurance
- $575K: 3-year partnership with Assicurazioni Generali S.p.A., with scalable revenue opportunities.
Dell Partnerships & Status
- $0.5M: First sale of Algho AI platform to Dell.
- Vection Achieves Dell Titanium Partner Status, following the $4M Defence contract extension.
- This breakdown shows Vection's strong focus on AI, XR, Defence, and strategic global expansions.
The total collective value of these deals is approximately $28.5 million.(including the $2m tax credit)"
Many are small, around 500k value, are "multi year" deals, but many are also just "initial" collaborations and "could" be expanded on, like the military one just has (and with a possible further 21 million for this from 2026-30).
All this and a Market Capitalisation of 65 million dollars and the last 2 quarters cash flow positive?..
And with profitable Technology Companies, usually having a 8 to 33 times revenue valuation?
Can you imagine if "we" had anything like this kind of traction, what the share price would be?
Or if Vection had the kind of following and research, that BrainChip has (seems more like a bit of a latent following at the moment
).We are in a completely different space here and our "potential" markets are much bigger, but..
C'mon BrainChip!
Get a wriggle on!
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Day 6 & 7 (26th & 27th June, 2025) of SENSE-2025 at DIAT, Pune, explored Radiation Tolerant Electronics, AI efficiency, and brain-inspired tech! | SENSE (Smart Electronics & Next Generation Systems Engineering) - Summer School, DIAT Pune
Day 6 & 7 (26th & 27th June, 2025) of SENSE-2025 at DIAT, Pune, explored Radiation Tolerant Electronics, AI efficiency, and brain-inspired tech! Dr. Arijit Mukherjee, Principal Scientist from Tata Consultancy Services, delivered Smart at the Edge an introduction to the future sessions from...
Philip is relentless!
Sorry if already posted.
DingoBorat
Slim
I guess it all depends on how you "sell it" and your powers of negotiation, if you haven't got the cash up front..
Day 6 & 7 (26th & 27th June, 2025) of SENSE-2025 at DIAT, Pune, explored Radiation Tolerant Electronics, AI efficiency, and brain-inspired tech! | SENSE (Smart Electronics & Next Generation Systems Engineering) - Summer School, DIAT Pune
Day 6 & 7 (26th & 27th June, 2025) of SENSE-2025 at DIAT, Pune, explored Radiation Tolerant Electronics, AI efficiency, and brain-inspired tech! Dr. Arijit Mukherjee, Principal Scientist from Tata Consultancy Services, delivered Smart at the Edge an introduction to the future sessions from...
Philip is relentless!
Sorry if already posted.
View attachment 87841
CHIPS
Regular
Day 6 & 7 (26th & 27th June, 2025) of SENSE-2025 at DIAT, Pune, explored Radiation Tolerant Electronics, AI efficiency, and brain-inspired tech! | SENSE (Smart Electronics & Next Generation Systems Engineering) - Summer School, DIAT Pune
Day 6 & 7 (26th & 27th June, 2025) of SENSE-2025 at DIAT, Pune, explored Radiation Tolerant Electronics, AI efficiency, and brain-inspired tech! Dr. Arijit Mukherjee, Principal Scientist from Tata Consultancy Services, delivered Smart at the Edge an introduction to the future sessions from...
Philip is relentless!
Sorry if already posted.
View attachment 87841
And the answer is
BrainShit
Regular
Day 6 & 7 (26th & 27th June, 2025) of SENSE-2025 at DIAT, Pune, explored Radiation Tolerant Electronics, AI efficiency, and brain-inspired tech! | SENSE (Smart Electronics & Next Generation Systems Engineering) - Summer School, DIAT Pune
Day 6 & 7 (26th & 27th June, 2025) of SENSE-2025 at DIAT, Pune, explored Radiation Tolerant Electronics, AI efficiency, and brain-inspired tech! Dr. Arijit Mukherjee, Principal Scientist from Tata Consultancy Services, delivered Smart at the Edge an introduction to the future sessions from...
Philip is relentless!
Sorry if already posted.
View attachment 87841
Yes, Philip is relentless.... he bought some shares (for himself and some clients) and now as he know about BrainChip's investor relations and the "NDA" hiding.... he's shitting himself. I suggest, someone should send him the newest and best speculations (e.g. Nintendo, Golden Dome (Iron Dome) oh and Mercedes as well) to keep him rest less.
Sarcasm off/
Frangipani
Top 20
Spotted four more summer interns on LinkedIn, who have all been working remotely for our Laguna Hills office for a month now: Shadi (Zahra) Khodagholi, Ananth M Nair, Ganesha Srinivas Damaraju and Rishi Kumar Parasa.
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#Article_114 👉 Neuromorphic Computing In The Automotive Driving The Future With Brain-Inspired Intelligence 👉 https://lnkd.in/gqVfXKXd | Chetan Shidling
#Article_114 👉 Neuromorphic Computing In The Automotive Driving The Future With Brain-Inspired Intelligence 👉 https://lnkd.in/gqVfXKXd . . . . . . . . . . . . #NeuromorphicComputing #AutomotiveInnovation #ADAS #AutonomousVehicles #AIinCars #SmartMobility #EdgeAI #SensorFusion...
Frangipani
Top 20
Arijit Mukherjee, Akida-experienced Principal Scientist from TCS Research, will be leading two workshop ‘industry sessions’ during next month’s week-long Summer School & Advanced Training Programme SENSE (Smart Electronics and Next-Generation Systems Engineering) organised by the Defence Institute of Advanced Technology (DIAT) in Pune, India: “Intro talk: Smart at the Edge” as well as “Beyond TinyML - Neuromorphic Computing: Brains, Machines, and the Story of Spikes”.
While we know that TCS Research is not exclusively friends with us, when it comes to neuromorphic computing, I trust BrainChip will get a very favourable mention during those workshop sessions.
The Defence Institute of Advanced Technology (DIAT), Pune, presents Summer School & Advanced Training Programme SENSE–2025, from 19th to 27th June, 2025 offering a unique opportunity to immerse… | Centre for Training and Placement DIAT
The Defence Institute of Advanced Technology (DIAT), Pune, presents Summer School & Advanced Training Programme SENSE–2025, from 19th to 27th June, 2025 offering a unique opportunity to immerse yourself in cutting-edge domains of: Semiconductor Devices, Embedded Systems, RISC-V SoC programming...
View attachment 85735
View attachment 85736 View attachment 85737
Day 6 & 7 (26th & 27th June, 2025) of SENSE-2025 at DIAT, Pune, explored Radiation Tolerant Electronics, AI efficiency, and brain-inspired tech! | SENSE (Smart Electronics & Next Generation Systems Engineering) - Summer School, DIAT Pune
Day 6 & 7 (26th & 27th June, 2025) of SENSE-2025 at DIAT, Pune, explored Radiation Tolerant Electronics, AI efficiency, and brain-inspired tech! Dr. Arijit Mukherjee, Principal Scientist from Tata Consultancy Services, delivered Smart at the Edge an introduction to the future sessions from...
View attachment 87805
Arijit Mukherjee is already busy co-organising another Edge AI workshop that will also touch on neuromorphic computing. It is scheduled for 8 October and will be co-located with AIMLSys 2025 in Bangalore:
“EDGE-X 2025: Reimagining edge intelligence with low-power, high-efficiency AI systems”.
🔋✨ Rethinking Edge Intelligence at EDGE-X 2025 | Arijit Mukherjee
🔋✨ Rethinking Edge Intelligence at EDGE-X 2025 📍 Co-located with AI-ML Systems Conference 2025 | Chancery Pavilion, Bangalore | October 8, 2025 As intelligent systems scale across diverse environments—from IoT sensors to autonomous platforms—traditional architectures face new limits. The EDGE-X...
Workshop-EDGE-X | The Fifth International Conference on AI ML Systems
www.aimlsystems.org
EDGE-X
The EDGE-X 2025 workshop, part of the Fifth International AI-ML Systems Conference (AIMLSys 2025), aims to address the critical challenges and opportunities in nextgeneration edge computing. As intelligent systems expand into diverse environments—from IoT sensors to autonomous devices—traditional applications, architectures, and methodologies face new limits. EDGE-X explores innovative solutions across various domains, including on-device learning and inferencing, ML/DL optimization approaches to achieve efficiency in memory/latency/power, hardware-software co-optimization, and emerging beyond von Neumann paradigms including but not limited to neuromorphic, in-memory, photonic, and spintronic computing. The workshop seeks to unite researchers, engineers, and architects to share ideas and breakthroughs in devices, architectures, algorithms, tools and methodologies that redefine performance and efficiency for edge computing.
Topics of Interest (including but not limited to the following):
We solicit submissions describing original and unpublished results focussed on leveraging software agents for software engineering tasks. Topics of interest include but are not limited to:
1.Ultra-Efficient Machine Learning
- TinyML, binary/ternary neural networks, federated learning
- Model pruning, compression, quantization, and edge-training
- RISC-V custom extensions for edge AI
- Non-von-Neumann accelerators (e.g., in-memory compute, FPGAs
- Neuromorphic computing (spiking networks, event-based sensing)
- In-memory/compute architectures (memristors, ReRAM)
- Photonic integrated circuits for low-power signal processing
- Spintronic logic/memory and quantum-inspired devices
- Near-/sub-threshold computing
- Power-aware OS/runtime frameworks
- Approximate computing for error-tolerant workloads
- Simulators for emerging edge devices (photonic, spintronic)
- Energy-accuracy trade-off optimization
- Benchmarks for edge heterogeneous platforms
- Self-powered/swarm systems, ruggedized edge AI
- Privacy/security for distributed intelligence
- Sustainability and lifecycle management
- Arijit Mukherjee, Principal Scientist, TCS Research
- Udayan Ganguly, Professor, IIT Bombay
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