BRN Discussion Ongoing

[KiKi]

Thanks @Frangipani. Can you please also post the link to his post? I want to look at the pictures in full, especially the one with BrainChip logo.
Thanks.

 

[Pom down under]

Thanks @Frangipani. Can you please also post the link to his post? I want to look at the pictures in full, especially the one with BrainChip logo.
Thanks.

#neuromorphic #salutesspace #inorbitintelligence #spaceinfrastructure | Mohamed Sobhy Fouda | 15 comments

Exciting news! Munich, March the 9th, 2024 🚀 Our NEROnaut (software) prototype has passed its final test with high performance after being challenged on multiple hardware platforms. Thanks to our unparalleled GPT-Powered Merlin Gigabytes, the research and development went swifter than planned...

www.linkedin.com

 

[Frangipani]

Thank’s for posting, !

And this is the space infrastructure company Mohamed Sobhy Fouda founded just over a year ago:

Saluts

Let's Build the Future of Autonomy, Together.

www.salutes.space

Saluts | LinkedIn

Saluts | 983 followers on LinkedIn. Robot-on-Chip for autonomous computing infrastructure | Saluts offers Space Intelligence Services, which aims to make space affordable and accessible. Saluts aims to revolutionize the Space Industry by promoting Life 3.0 through the provision of advanced...

www.linkedin.com

Salutes Space are currently taking part in the CASSINI Challenges:

CASSINI Challenges

www.euspa.europa.eu

 

[Frangipani]

Thank’s for posting, !

And this is the space infrastructure company Mohamed Sobhy Fouda founded just over a year ago:

Saluts

Let's Build the Future of Autonomy, Together.

www.salutes.space

View attachment 58796

Saluts | LinkedIn

Saluts | 983 followers on LinkedIn. Robot-on-Chip for autonomous computing infrastructure | Saluts offers Space Intelligence Services, which aims to make space affordable and accessible. Saluts aims to revolutionize the Space Industry by promoting Life 3.0 through the provision of advanced...

www.linkedin.com

View attachment 58797
View attachment 58799

Salutes Space are currently taking part in the CASSINI Challenges:

CASSINI Challenges

www.euspa.europa.eu

View attachment 58800


View attachment 58801

Salutes Space are also collaborating with Universität der Bundeswehr München
(University of the German Federal Armed Forces in Munich) …

… and “officially signed for incubation at ESA BIC Bavaria” three months ago.

And finally meet Merlin Gigabytes, mentioned in the first LinkedIn post I shared:

 

[charles2]

I'm reposting this as I found it today (Saturday) on Yahoo News (US) front page. So if the world has an appetite for this kind of tech news it sure seems that Brainchip could do a better job

'strutting our stuff' publicly.

They do hire a PR firm...right?

As a result we would have to issue less shares to raise funds....less dilution.

Damn it, it is SO OBVIOUS.

Korean researchers power-shame Nvidia with new neural AI chip — claim 625 times less power draw, 41 times smaller

A team of scientists from KAIST detailed a new AI chip during the 2024 ISSCC. The new C-Transformer is claimed to be the world's first ultra-low power AI accelerator chip capable of LLM processing - and does so using 625 times less power than the Nvidia A100.

news.yahoo.com

 

[Pom down under]

Thank’s for posting, !

 

[Pom down under]

As everyone is liking what’s happening in Space with regards to Brainchip I’ve just posted quite a few new things going on there over in the NASA page with this one being the best

Edge AI Platform for Space and Unmanned Aerial Imagery Intelligence | SBIR.gov

www.sbir.gov

Edge AI Platform for Space and Unmanned Aerial Imagery Intelligence​

Award Information
Agencyepartment of Defense
Branch:Air Force
Contract:FA8649-23-P-0196
Agency Tracking Number:FX224-OCSO1-1566
Amount:$74,941.00
Phasehase I
Program:SBIR
Solicitation Topic Code:X224-OCSO1
Solicitation Number:X22.4
Timeline
Solicitation Year:2022
Award Year:2023
Award Start Date (Proposal Award Date):2022-11-01
Award End Date (Contract End Date):2023-02-04
Small Business Information
Misram LLC
1 Paddington Lane
Holmdel, NJ 07733-1111
United States
DUNS:078446162
HUBZone Owned:No
Woman Owned:No
Socially and Economically Disadvantaged:Yes
Principal Investigator
Name: Vidya Sagar
Phone: (201) 912-9568
Email: vidya@spectronn.com
Business Contact
Name: Rajarathnam Chandramouli
Phone: (847) 345-4731
Email: mouli@spectronn.com
Research Institution
N/A
Abstract
Global persistent awareness is critical for the Air Force. Warfare is becoming increasingly complex due to congested and contested operational environments, maneuvering targets, and rapidly changing threats. The Air Force seeks on-demand awareness of adversary actions anywhere on the globe by securely gathering, processing, and fusing multiple types of trusted data, including satellite and aerial imagery. The Joint and Allied Force networks will share processed intelligence to rapidly identify threats and targeted intelligence. Executing AI algorithms for satellite and aerial imagery fusion solely on terrestrial cloud infrastructure will incur severe latency due to limited data rate between a satellite and ground station, wireless link packet losses, delays due to revisit times, etc. Therefore, we propose to extend our commercial distributed edge AI sensor fusion software stack to satisfy the needs of Air Force customers. A 1000X latency reduction and 5X improvement in intelligence inference accuracy will be demonstrated.

 

[rgupta]

I was just comparing feet of Niel Armstrong on moon and journey of akida to the brain.
Neil Armstrong used the words
“That's one small step for man, one giant leap for mankind,""
"It will be one small step of akida, on gaint leap for AI"

 

[rgupta]

I was just comparing feet of Niel Armstrong on moon and journey of akida to the brain.
Neil Armstrong used the words
“That's one small step for man, one giant leap for mankind,""
"It will be one small step of akida, on gaint leap for AI"

To me ant61 brain will awaken Australian govt about the importance of brainchip as a company and they will take some actions to prioritise akida in govt forward thinking.
Then Sean said in his interview he is in Australia to meet some customer for akida edge box. May be that customer is govt of Australia.

 

[TECH]

Thanks for sharing @Pmel
Surely this is huge news. Here is a CEO of a company that is spruiking the benefits of AKIDA ability to help with amazingly advanced radar and RF applications.
They also work with the DoD. Just saying.

Fantastic news, but it does raise a question in my mind....where do NDA's fit into the scheme of things when a CEO of a partner company
makes a definitive comment like that, confirming that as a fact ?....obviously love his comments, but NDA's, while I understand why they are
put in place, it can cause an element of confusion in my opinion, which many may disagree with, which is fine.

Regards....Tech

 

[HopalongPetrovski]

Ŵhen I saw this I'll admit I thought now there's a joke in that but then thought it was very condescending to women and wasn't going there. There are strong women on here so they don't need me to stand up for them, but then thought why would MB put a message up like that. There may be a couple of reasons. I think it was well meant.

1. May have been in German and didn't translate properly or not person's first language.

2. Was written by a male who is insensitive to what he wrote.

3. This is important in my opinion. It was in Saudi Arabia and I think we are all aware of women's rights there.

SC

 

[Pom down under]

ISL link. View attachment 58754 View attachment 58755 not much info on SBR

INFORMATION SYSTEMS LABORATORIES INC | SBIR.gov

www.sbir.gov

 

[Shadow59]

On 26 September 2017, King Salman issued a statement recognizing the right of Saudi women to drive in keeping with Sharia. Licenses were set to be issued to women starting on 24 June 2018.

 

[Frangipani]

Wow! STMicroelectronics on a big edge AI push!

Video posted a couple of days ago.

• 30 seconds

"This is AI directly at the edge on a miriad of tiny devices running innumerable applications. This is edge AI. And it's powered by a very different set of chips and software stack to what is used in the data centre today. We are litterally on the brink of this new era that will bring about a massive wave of smart devices representing a huge opportunity. In the coming years we see billions of microcontrollers and smart sensors shipping with AI functionality."

• 5.30 mins

Predicting and detecting faults in HVACs

• 17.43 mins

On-device learning?

• 22 mins

Two new products (STM32N6 & STM32) that integrate powerful neural acceleration cores that bring processing capabilities and algorithms that not so long ago were reserved for CPUs that are in the hands of selects customer now and are going into product development for launch next year.

• 23.21 mins

Real time object detection using STM32N6


View attachment 51813








View attachment 51807

Good work Bravo with STMicroelectronics.

On their website, looks like they're pretty keen on Edge AI https://www.st.com/content/st_com/e...logy/artificial-intelligence-at-the-edge.html

"Moving intelligence from the cloud to the edge

AI is used today in an ever-wider range of applications. It impacts the services we use as well as the devices and machines we interact with every day. Much of this AI relies on cloud computing, using powerful remote data centers, which process the data collected by local devices.

Edge AI deploys AI algorithms and models directly on devices such as Internet of Things (IoT) devices and embedded industrial and automotive systems. This approach enables real-time processing and analysis of data at the source. It paves the way for genuinely autonomous intelligent devices, capable of rapidly deciding and acting in an adaptive way.

Deploying AI at the edge offers several advantages over the cloud approach. It provides speed and ultralow latency, much lower data transmission loads, and significantly improved security. It significantly reduces power thanks to inference algorithms running at milliwatts, or even microwatts, on edge devices vs watts in the cloud. And it preserves privacy.

Edge AI opens many new possibilities for device and service creators across all markets enabling new applications at a fraction of the cost of using the cloud."

Also, having a browse through Remi's LinkedIn feed, a lot to like there as well. Not sure how to find Anil's comment when Remi announced he got the President position back in Dec 2021, but I remember that they seem to know each other quite well. If someone can help me out there, would be great

More Edge AI news from STMicroelectronics:

“STMicroelectronics has announced its second-generation STM32 microprocessors, promising improved performance and acceleration for edge artificial intelligence (AI) and machine learning workloads — and a move to 64-bit processors cores for the first time in the range's history.”

STMicro's STM32 Family Makes the 64-Bit Jump with New Edge AI, 3D-Capable STM32MP Parts

Retaining the STM32 name despite a shift to the 64-bit Arm Cortex-A35 core, STMicro's latest STM32 parts pack in the power.

www.hackster.io

STMicro's STM32 Family Makes the 64-Bit Jump with New Edge AI, 3D-Capable STM32MP Parts​

Retaining the STM32 name despite a shift to the 64-bit Arm Cortex-A35 core, STMicro's latest STM32 parts pack in the power.​

Gareth HalfacreeFollow
1 day ago • HW101 / Internet of Things / Machine Learning & AI

"Our embedded MPUs address the trend that’s pushing more workloads and greater demands to smart devices, often deployed at the IoT [Internet of Things] edge, for faster response and increased efficiency," says STMicro's Stephane Henry of the company's new processors.

STMicro has announced new parts in the STM32 range, and they're the company's most powerful yet. (: STMicroelectronics)

"The new STM32MP2 devices we are announcing today," Henry continues, "extend the performance trajectory, introducing our most powerful processing engine, now adding edge AI, and supported by the STM32 ecosystem to accelerate product development."

The first surprise in the new chip range: a move to 64-bit processor cores, despite retaining the STM32 name. The STM32MP2 chips are the company's first to use the Arm Cortex-A35 core, running at speeds of up to 1.5GHz, alongside a 32-bit Arm Cortex-M33 microcontroller core running at up to 400MHz, a dedicated graphics processing unit (GPU) with 3D acceleration and support for 1080p displays, a video processing unit (VPU), and a neural processing unit (NPU) designed to accelerate on-device edge AI and machine learning work.

The new parts include up to two 64-bit Arm Cortex-A35 cores running at up to 1.5GHz, but keep the "STM32" name. (: STMicroelectronics)

This NPU, STMicro claims, can deliver up to 1.35 tera-operations per second (TOPS) of compute, with workloads able to run on the Cortex-A35, Cortex-M33, GPU, VPU, or NPU cores as-required. It's not present in all models, however: only the STM32MP257, STM32MP255, and STM32MP23x chips include the AI co-processor and 3D GPU; the remainder of the range stick with one or two Cortex-A35 cores and a single Cortex-M33.

STMicro is making much of the parts' industrial qualifications: the company says the chips can run 24 hours a day for 10 years, with a junction temperature rated at -40°C to 125°C (-40°F to 257°F). The new parts also come with the promise of Security Evaluation Standard for IoT Platforms (SESIP) Level 3 certification, readying them for the US Cyber Trust Mark announced back in July last year — along with the company's recently-unveiled 32-bit STM32WBA55 and STM32WBA54 chips.

Some, but not all, models in the range include 3D-capable GPUs and a 1.35 TOPS neural network coprocessor. (: STMicroelectronics)

Other features of the parts include up to three gigabit Ethernet ports through the use of a two-port switch, support for Time Sensitive Networking (TSN), PCI Express Gen. 2, USB 3.0, and up to three CAN-FD buses, RGB, LVDS, and MIPI Display Serial Interface (DSI) video outputs with H.264 video acceleration on the GPU-equipped models, and a MIPI Camera Serial Interface 2 (CSI-2) input with image signal processor.

While STMicro is unveiling the parts now, however, it is not quite ready to take orders: the parts are due to enter volume production in June this year, with a development board to follow in due course.
More information is available on the STMicro website.

microcontroller
internet of things
machine learning
artificial intelligence
computer vision

Gareth HalfacreeFollow
Freelance journalist, technical author, hacker, tinkerer, erstwhile sysadmin. For hire: freelance@halfacree.co.uk.

---

https://www.st.com/content/st_com/en/campaigns/microprocessor-stm32mp2.html

 

[Tothemoon24]

Perhaps Cambridge university are mixing up our secret sauce​

​

​

Researchers from the University of Cambridge and Sussex AI Introduce Spyx: A Lightweight Spiking Neural Networks Simulation and Optimization Library designed in JAX​

By
Adnan Hassan
-
March 9, 2024

The evolution of artificial intelligence, particularly in the realm of neural networks, has significantly advanced our data processing and analysis capabilities. Among these advancements, the efficiency of training and deploying deep neural networks has become a paramount focus. Recent trends have shifted towards developing AI accelerators to manage the training of expansive models of multi-billion parameters. Despite their power, these networks often have high operational costs when implemented in production settings.
In contrast to traditional neural networks, Spiking Neural Networks (SNNs) draw inspiration from the biological processes of neural computation, promising a reduction in energy consumption and hardware requirements. SNNs operate on temporally sparse computations, offering a potential solution to the high costs of conventional networks. However, the recurrent nature of SNNs presents unique challenges, especially in leveraging the parallel processing capabilities of modern AI accelerators. Researchers have thus explored the integration of Python-based deep learning frameworks with custom compute kernels to optimize SNN training.
Join the Fastest Growing AI Research Newsletter Read by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and many others...
Researchers from the University of Cambridge and Sussex AI introduced Spyx, a groundbreaking SNN simulation and optimization library crafted in the JAX ecosystem. Designed to bridge the gap between flexibility and high performance, Spyx utilizes Just-In-Time (JIT) compilation and pre-stage data in accelerators’ vRAM, enabling SNN optimization on NVIDIA GPUs or Google TPUs. This approach ensures optimal hardware utilization and surpasses many existing SNN frameworks in terms of performance while maintaining high flexibility.
Spyx’s methodology is notable for its minimal introduction of unfamiliar concepts, making it accessible for those accustomed to PyTorch-based libraries. By mirroring design patterns from snnTorch, Spyx treats SNNs as a special case of recurrent neural networks, leveraging the Haiku library for object-oriented to functional paradigm conversion. This simplifies the learning curve and minimizes the codebase footprint, increasing hardware utilization through features such as mixed precision training.
Through extensive testing, Spyx demonstrated a remarkable ability to train SNNs efficiently, showcasing faster performance compared to many established frameworks without sacrificing the benefits of flexibility and ease of use inherent in Python-based environments. By fully leveraging the JIT compilation capabilities of JAX, Spyx achieves a level of performance that closely matches or even surpasses frameworks that depend on custom CUDA implementations.
In conclusion, the research can be presented in a nutshell as the following:

• Spyx advances SNN optimization by balancing efficiency and user accessibility.
• Utilizes Just-In-Time JIT compilation to enhance performance on modern hardware.
• Bridges Python-based frameworks and custom compute kernels for optimal SNN training.
• Demonstrates superior performance in benchmarks against established SNN frameworks.
• Facilitates rapid SNN research and development within the expanding JAX ecosystem.
• It serves as a vital tool for pushing neuromorphic computing towards new possibilities.

 

[hotty4040]

View attachment 58807

I tips my lid to you Pdu all the time, for your input, now, research on, in abundance, will you ( Nasa --- Mmmmm )

Akida ballista >>>>>>>>>>>>>>>>>>>>>>>>>>>>>



hotty...

 

[Humble Genius]

View attachment 58792

View attachment 58793


View attachment 58794

Its all happening, and we don't have to worry about the dot joining

 

[DingoBorat]

Almost exactly three years ago, Sabine Schmitz sadly passed away prematurely after a long battle with cancer. She was and will always be the legend and queen of the Nordschleife. She made hundreds of men scream and sometimes puke. No matter how hard you tried as a man, you could never have beaten her.
She drove her guests round the Nordschleife in a taxi.

In memory of the queen of Nordschleife and the fastest taxi driver in the world Sabine Schmitz, is and remains in many hearts.


Two of many many videos.

Great story Cosors!

 

[DingoBorat]

View attachment 58792

View attachment 58793


View attachment 58794

Reminds me of this "old" video..
I wonder what they need swarming drones for? ..

 

[Bravo]

YAY! We're third on the list!

If we get 10 percent of 29.2 billion, that's 2.92 billion dollars!!!!

Top 10 Neuromorphic Computing Companies | Better Output Technology​

Tajammul Pangarkar
Updated · Mar 7, 2024
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Table of Contents

• Neuromorphic Computing Market Overview
• Market Drivers
• Market Size
• List of Major Companies
• Intel
• IBM
• BrainChip
• Qualcomm
• NVIDIA
• Hewlett-Packard
• Samsung
• Accenture
• Cadence-Design
• Knowm

Neuromorphic Computing Market Overview​

Inspired by the brain’s neural networks, Neuromorphic computing revolutionizes computer architecture by emulating biological neurons. Using spiking neurons and synaptic plasticity principles, neuromorphic hardware enables efficient, low-power processing.
This approach finds applications in diverse fields, such as sensor networks for environmental monitoring, robotics for enhanced perception and control, and neuroscience research for studying brain function.
With its potential to deliver highly efficient, brain-like computation, neuromorphic computing holds promise for transforming various industries and advancing our understanding of complex biological systems.

Market Drivers​

The global neuromorphic computing market is growing due to several factors. Firstly, various industries have a rising demand for efficient computing solutions.
Neuromorphic architectures, known for their energy efficiency and parallel processing capabilities, are becoming increasingly popular. The emergence of edge computing and IoT devices also drives the need for low-power, high-performance solutions, further boosting the adoption of neuromorphic technologies.
Furthermore, ongoing advancements in hardware and software, coupled with increased investments, are expanding the market. These trends indicate a promising future for the global neuromorphic computing market’s growth.

Market Size​

The global neuromorphic computing market reached USD 4.2 billion in 2022 and is projected to reach USD 29.2 billion by 2032, with an estimated compound annual growth rate (CAGR) of 22% from 2023 to 2032.

List of Major Companies​

These are the top 10 companies operating in the Neuromorphic Computing Market:

• Intel
• IBM
• BrainChip
• Qualcomm
• NVIDIA
• Hewlett-Packard
• Samsung
• Accenture
• Cadence-Design
• Knowm

Intel​

Company Overview​

Establishment Year	1968
Headquarter	Santa Clara, California, U.S.
Key Management	Pat Gelsinger (CEO)
Revenue (US$ Bn)	$ 54.2 Billion (2023)
Headcount	~ 124,800 (2023)
Website	https://www.intel.com/

About Intel Corporation​

Intel Corporation leads the way in neuromorphic computing, leveraging its expertise in semiconductor manufacturing and technology innovation.
The groundbreaking neuromorphic research chip Loihi is at the forefront of its efforts, mimicking the human brain’s neural networks for efficient data processing. With robotics, healthcare, and IoT applications, Intel collaborates with research institutions and industry partners to explore innovative uses for neuromorphic computing.
Through ongoing research and development, Intel aims to push the boundaries of computing capabilities, positioning itself as a key player in shaping the future of neuromorphic technologies.

Geographical Presence​

Intel Corporation strategically situates itself globally, headquartered in Santa Clara, California. Its primary operations cover North America, including major Oregon, Arizona, and Texas manufacturing sites.
In Europe, Intel maintains hubs in Ireland and Germany, fostering innovation. Expanding into the Asia-Pacific, notable facilities in China and India tap diverse markets and talent.
Operations extend to Japan and other Asia-Pacific nations, driving technological progress. Intel also maintains a presence in Latin America, the Middle East, and Africa, emphasizing its dedication to global innovation and market leadership.

Recent Developments​

• In October 2021, Intel unveiled Loihi 2, its latest neuromorphic computing chip, representing a notable progression in the field. Utilizing Intel 4 process technology, Loihi 2 presents improved capabilities for studying advanced neuromorphic neural networks.
• In March 2020, Intel revealed information about Pohoiki Springs, a neuromorphic computing system featuring 100 million artificial neurons for processing tasks.

IBM​

Company Overview​

Establishment Year	1911
Headquarter	Armonk, New York, United States
Key Management	Arvind Krishna (Chairman & CEO)
Revenue (US$ Bn)	$ 61.8 B (2022)
Headcount	~ 288,300 (2022)
Website	https://www.ibm.com/

About IBM Corporation​

IBM Corporation is a leader in neuromorphic computing, pioneering innovative solutions for various applications. Its TrueNorth architecture is a milestone in this field, offering highly efficient and low-power processing capabilities akin to the human brain.
With applications spanning healthcare, finance, and cybersecurity, IBM collaborates with research institutions and industry partners to explore and develop TrueNorth technology.
Through ongoing research and development efforts, IBM continues to push the boundaries of neuromorphic computing, positioning itself as a driving force in shaping the future of computing architectures.

Geographical Presence​

IBM Corporation maintains a global presence with operations spanning across multiple continents. The company’s headquarters are located in Armonk, New York, USA.
IBM has established offices, research facilities, and manufacturing sites in key regions worldwide, including North America, Europe, Asia Pacific, and Latin America. This extensive geographical footprint enables IBM to effectively serve its diverse customer base and collaborate with partners on a global scale.
Additionally, IBM’s presence in various regions facilitates market expansion and supports its commitment to innovation and technology leadership across the globe.

Recent Developments​

• In February 2024, Wipro introduced a new solution that harnesses IBM’s WatsonX AI and data platform capabilities to boost AI adoption in enterprises.
• In October 2023, IBM launched its inaugural AI-focused chip, NorthPole, claiming it to be 22 times faster than competitors. The chip aims to surpass current computing performance standards and address the growing demand for AI technologies.

BrainChip​

Company Overview​

Establishment Year	2004
Headquarter	Sydney, NSW, Australia
Key Management	Sean Hehir (CEO)
Revenue (US$ Bn)	$ 2.3 Billion (2023)
Headcount	~ 70 (2023)
Website	https://brainchip.com/

About BrainChip Holdings​

BrainChip Holdings Ltd. leads neuromorphic computing, specializing in ultra-low-power solutions for various applications. Its flagship product, the Akida Neuromorphic System-On-Chip (NSoC), offers efficient processing capabilities tailored for edge computing and IoT devices.
With applications spanning surveillance, autonomous vehicles, and cybersecurity, BrainChip collaborates with industry partners and research institutions to innovate and develop solutions using the Akida platform.
Through continuous research and development, BrainChip is committed to advancing neuromorphic computing technology to meet the evolving needs of diverse markets.

Geographical Presence​

BrainChip Holdings Ltd., a leader in neuromorphic computing solutions, has a solid global presence spanning North America, Europe, and Asia-Pacific.
With a focus on key markets such as the United States, Europe (including the UK, Germany, and France), and Asia-Pacific countries like China, Japan, Australia, and South Korea, BrainChip addresses diverse industry needs in cybersecurity, surveillance, automotive, and IoT.
Through its strategic positioning, BrainChip aims to drive innovation and provide cutting-edge AI technologies worldwide.

Recent Developments​

• In December 2023, BrainChip Holdings and Unigen Corporation partnered to offer a new Unigen Cupcake Edge AI Server version, utilizing BrainChip’s Akida neuromorphic processor for enhanced compactness and performance.
• In January 2023, BrainChip Holdings and MYWAI formed a strategic partnership to provide advanced Edge AI solutions using neuromorphic computing.

Qualcomm​

Company Overview​

Establishment Year	1985
Headquarter	San Diego, California, U.S.
Key Management	Cristiano Amon (CEO)
Revenue (US$ Bn)	$38.5 Billion (2023)
Headcount	~ 50,000 (2023)
Website	https://www.qualcomm.com/

About Qualcomm Incorporated​

Qualcomm Incorporated is pivotal in advancing neuromorphic computing, drawing upon its semiconductor design and mobile technologies expertise.
With its Zeroth platform, Qualcomm offers efficient processing capabilities tailored for various applications, including edge computing and IoT devices. The company collaborates with research institutions and industry partners to explore innovative solutions and drive advancements in the field.
Qualcomm’s commitment to research and development positions it as a leading force in unlocking the potential of neuromorphic computing for diverse industries.

Geographical Presence​

Qualcomm, headquartered in San Diego, California, maintains a global presence with operations in key regions worldwide. It focuses on research and development in the US, notably in 5G technology.
Across the Asia-Pacific, including China, South Korea, Japan, India, and Taiwan, Qualcomm has established offices and partnerships to support local collaborations. It engages in research, development, and customer support in Europe, the Middle East, and Africa, particularly in the UK, Germany, and France.
Additionally, Qualcomm has a presence in select Latin American countries, contributing to mobile connectivity adoption. Qualcomm serves global markets through strategic positioning, drives innovation, and maintains semiconductor leadership.

Recent Development​

• In October 2023, Qualcomm unveiled Snapdragon Seamless, a cross-platform technology allowing Android, Windows, and Snapdragon devices on different operating systems to seamlessly discover and share information, functioning as a unified system.
• In September 2023, EE revealed its inaugural strategic plan to become the UK’s foremost customer-focused brand for its home broadband service. Teaming up with Qualcomm Technologies, Inc., EE intends to launch new in-home hardware featuring Qualcomm Wi-Fi 7 platforms. This effort seeks to provide superior home connectivity to UK consumers, positioning them as early adopters of next-generation Wi-Fi technology.

NVIDIA​

Company Overview​

Establishment Year	1993
Headquarter	Santa Clara, California, U.S.
Key Management	Jensen Huang (President and CEO)
Revenue (US$ Bn)	$60.9 B (2023)
Headcount	~ 29,600 (2023)
Website	http://conservis.ag/

About NVIDIA Corporation​

NVIDIA Corporation, a leader in graphics processing units (GPUs) and artificial intelligence (AI) solutions, is advancing neuromorphic computing. Through dedicated research and development, NVIDIA designs specialized hardware architectures and efficient algorithms inspired by the brain’s neural networks.
Its product portfolio, including GPUs and software frameworks like CUDA and TensorRT, supports neuromorphic computing applications in various domains.
Collaborations with industry partners and research institutions further accelerate innovation, positioning NVIDIA at the forefront of the neuromorphic computing revolution.
With its expertise, NVIDIA is poised to reshape AI and computational neuroscience, driving the development of smarter, more efficient systems across industries.

Geographical Presence​

NVIDIA Corporation, a global leader in GPUs and AI technology, maintains a significant presence worldwide. In Santa Clara, California, NVIDIA strategically establishes offices, research facilities, and partnerships across North America, Europe, the Middle East, Africa, and Asia-Pacific.
With key locations in major cities like London, Munich, Beijing, and Bangalore, NVIDIA serves its global customer base and collaborates with technology companies and research institutions to drive innovation in AI-driven technologies.
This extensive geographical presence underscores NVIDIA’s commitment to advancing GPU technology and AI solutions globally.

Recent Developments​

• In February 2024, AMD introduced a solution utilizing ROCm technology to allow NVIDIA CUDA binaries to run on AMD graphics hardware seamlessly without requiring any modifications.
• In November 2023, NVIDIA introduced CUDA Quantum 0.5, its latest platform tailored for quantum-classical computing application development.

​