Sirod69
bavarian girl ;-)
BrainChip
Check out the tinyML Hackathon 2023: Pedestrian Detection with BrainChip- May 18, 2023 at 8 AM Pacific: Devkit webinar with Brainchip- Register here: https://lnkd.in/gHfhZ9Ma
BRN Discussion Ongoing
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BrainChip
Check out the tinyML Hackathon 2023: Pedestrian Detection with BrainChip- May 18, 2023 at 8 AM Pacific: Devkit webinar with Brainchip- Register here: https://lnkd.in/gHfhZ9Ma
MDhere
Top 20
that's not enoughLove x 300,000-nty million-gazillion-ish
BrainChip teams for grid AI cyber threat detection
Quantum Ventura is to use BrainChip's Akida neuromorphic AI technology to develop new cyber threat-detection tools for the energy grid.
www.eenewseurope.com
Tothemoon24
Top 20
WANCA
What’s a neuromorphic Phd anyway 
Love this !
PhD Studentship: Neuromorphic Devices for Optoelectronic Neural Networks
University of Southampton - SEMS Research Group
| Qualification Type: | PhD |
|---|---|
| Location: | Southampton |
| Funding amount: | From £21,110 For UK students, Tuition Fees and a stipend, tax-free, per annum, for 4 years. |
| Hours: | Full Time |
| Placed On: | 15th May 2023 |
|---|---|
| Closes: | 23rd June 2023 |
https://www.mindscdt.southampton.ac.uk/apply#how_to_apply
Project title: Neuromorphic Devices for Optoelectronic Neural Networks
Supervisory Team: Dimitra Georgiadou, Frederic Gardes
Project description
Neuromorphic engineering is poised to revolutionise information technologies by developing electronic devices that can realistically emulate biological neural networks. The aim of this project is to develop a new form of neuromorphic systems that merge photonic, electronic and ionic effects, bringing new prospects for in-memory computing and artificial visual memory applications. This will be achieved upon developing photoelectric devices that are created using nanofabrication and multi-functional materials, employing low-cost processes compatible with large-area flexible substrates. You will develop, characterise and optimise single optoelectronic devices and arrays that emulate biological synapses in the human visual system, capable of detecting (in analogy to the retina in the eye) and memorising or even processing images (like the visual cortex in the brain).
This novel electronic technology can be used in various computer vision applications such as Internet of Things devices for visual data communication, human/environment detection/tracking, Augmented/Virtual Reality, etc. Furthermore, the manufacturing of these devices and systems relies on low-temperature processes and can thus be integrated on flexible substrates, which paves the way to incorporation of AI functionalities to wearable devices.
You will have the opportunity to join a multi-disciplinary team as part of the Flexible Nanoelectronics Lab in ECS and in the Optoelectronics Research Centre (ORC), and to be trained and work in the world-class facilities of the Zepler Institute.
If you wish to discuss any details of the project informally, please contact Dr Dimitra Georgiadou, SEMS Research Group, Email: d.georgiadou@soton.ac.uk
UKRI MINDS CDT
This project is funded through the UKRI MINDS Centre for Doctoral Training (www.mindscdt.ai). This is one of 16 PhD training centres in the UK with a unique focus on advancing AI techniques in the context of real-world engineered systems with a remit that spans novel hardware for AI, AI and machine learning, pervasive systems and IoT, and human-AI collaboration. We provide enhanced cross-disciplinary training in electronics and AI, entrepreneurship, responsible research and innovation, communication strategies, outreach and impact development as part of an integrated 4-year iPhD programme.
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Yes…one day, soon I hope, we too shall take a similar photo for a similar occasion!
Just need those royalties to start streaming in, then we’d be ready.
Let’s GO!
rgupta
Regular
I can recall Anil like that post from Qualcomm on linked in. That was around 2 months ago. Someone posted here.
Powering AI On Mobile Devices Requires New Math And Qualcomm Is Pioneering It — Forbes
We just needed a new math for all this AI heavy lifting on smartphones and other lower power edge devices, and it appears Qualcomm is leading that charge.apple.news
Stable Diffusion typically runs in the cloud via a web browser, and is driven by data center servers with big power budgets and a ton of silicon horsepower. However, the image above was generated by Stable Diffusion running on a smartphone, without a connection to that cloud data center and running in airplane mode, with no connectivity whatsoever. And the AI model rendering it was powered by a Qualcomm Snapdragon 8 Gen 2 mobile chip on a device that operates at under 7 watts or so.
I am the first to put my hand up for a mailchimp mess up, but it's still frustrating to see these little things constantly pop up for us 
This is definitely not a negative sentiment toward what we've got, where we're going etc.. But when you're an AI company, it feels your digital comms mean more. When your preferred method of communication is email and socials, again, it feels like these need to be right.
They've obviously replicated the previous email and nor changed the header?
I'm all in on BrainChip, which is where the amateur hour moments like this feel particularly hard at times
This is definitely not a negative sentiment toward what we've got, where we're going etc.. But when you're an AI company, it feels your digital comms mean more. When your preferred method of communication is email and socials, again, it feels like these need to be right. They've obviously replicated the previous email and nor changed the header?
I'm all in on BrainChip, which is where the amateur hour moments like this feel particularly hard at times
Attachments
buena suerte :-)
BOB Bank of Brainchip
Wow .... VERY NICE .... Thanks TTM
Schnitzel lover
Regular
Agree with the caveat..
A lot of grey areas there unfortunately, so if the news is not $$ material at the present time there is no obligation for the company to release it.. BRN is choosing the safe road to avoid unwanted red flag issues already presented historically for false starts on commercial success.. And it suits their NDA related narrative.. So we’ll only see Ann’s related to financials, parents, new tech, or new IP deals, unless a customer specifically releases that information publicly, that is “material/market sensitive”, then BRN is obligated to release it via the ASX..
They could release all media related and website related newsflow, and the ASX would likely present that information as non price sensitive or ask many to and fro questions to clarify all the information..
From a German forum….brainchip participate
The Global Leadership Summit (GLS) is GSA’s flagship event that occurs every two years. What makes GLS so unique is that it is truly an international event, attracting industry executives from across the globe. The GLS promotes collaboration for the advancement of technology, business, and education, with the goal of improving efficiencies and strengthening our industry.
LOCATION: Shangri-La Hotel Tokyo
DATE: June 7, 2023
TIME: 9 a.m. – 4 p.m. Japan Standard Time
GLS | Global Leadership Summit
The Global Leadership Summit is an invitation-only exclusive event that brings together the leading global C-level and senior executives from the semiconductor and high technology industry for thought exchange and collaborative dialogue.The Global Leadership Summit (GLS) is GSA’s flagship event that occurs every two years. What makes GLS so unique is that it is truly an international event, attracting industry executives from across the globe. The GLS promotes collaboration for the advancement of technology, business, and education, with the goal of improving efficiencies and strengthening our industry.
LOCATION: Shangri-La Hotel Tokyo
DATE: June 7, 2023
TIME: 9 a.m. – 4 p.m. Japan Standard Time
Next one on LinkedIn…
BrainChip on LinkedIn: BrainChip and Teksun Demonstrate Rapid Adoption of AI Solutions at…
BrainChip and Teksun Demonstrate Rapid Adoption of AI Solutions at Embedded Vision Summit https://lnkd.in/dvi6CQrM #ai
BrainChip and Teksun Demonstrate Rapid Adoption of AI Solutions at Embedded Vision Summit
Laguna Hills, Calif. – May 16, 2023 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, will demonstrate an accelerated prototype in partnership with Teksun in Booth No. 517 at the Embedded Vision Summit in the Santa Clara Convention Center May 22-24.
Teksun Inc focuses on end-to-end IoT, AI/ML product design and development, enabling differentiated intelligent solutions like driver monitoring applications, object detection with occupancy detection and gesture gamification, radar-based HR and SPO2 detection, Fall detection, and many more. Also, Teksun provides Product Engineering Services, and Electronics manufacturing for Health Care, Automotive, Security and Surveillance, Industry 4.0, Wearables and Consumer Electronics.
As part of their collaboration, the companies have focused their initial efforts on driver monitoring applications, face detection with occupancy detection and gesture gamification.
“We realized very early on in our partnership the advantages of BrainChip’s Neuromorphic architecture and its efficient performance with low power consumption,” said Brijesh Kamani – Founder & CEO of Teksun. “But apart from these capabilities which make BrainChip’s Akida critical for our current and future customers, it is the ease of adoption that enables them to move rapidly from concept to solution.”
“We are very excited about the progress we are making with Teksun in a very short amount of time,” said Rob Telson, Vice President of Ecosystems and Partnerships at BrainChip. “We look forward to supporting their future customers with the rapid adoption of BrainChip’s Akida as a key differentiator for their edge AI product offerings. The Embedded Vision Summit is the perfect venue to showcase how our joint efforts will bring tremendous advancements to the AI and ML markets.”
The Embedded Vision Summitattracts a global audience of technology professionals from companies developing computer vision and edge AI-enabled products including embedded systems, cloud solutions and mobile applications. BrainChip will have a booth at this event demonstrating the latest accomplishments with the Akida technology as well as presenting at this event.
To schedule an appointment with BrainChip or Teksun executives during the Embedded Vision Summit, interested parties are encouraged to email sales@brainchip.com.
wilzy123
Founding Member
Has the tablecloth been ironed? Quick, you better go check.I am the first to put my hand up for a mailchimp mess up, but it's still frustrating to see these little things constantly pop up for us
They've obviously replicated the previous email and nor changed the header?
I'm all in on BrainChip, which is where the amateur hour moments like this feel particularly hard at times
MadMayHam | 合氣道
Regular
BrainChip teams for grid AI cyber threat detection
eeNews Europe - BrainChip teams for grid AI cyber threat detection https://lnkd.in/gNAiuqqw via Nick Flaherty
BrainChip on LinkedIn: BrainChip teams for grid AI cyber threat detection
eeNews Europe - BrainChip teams for grid AI cyber threat detection https://lnkd.in/gNAiuqqw via Nick Flahertywww.linkedin.com
BrainChip has teamed up with security researchers Quantum Ventura to use the Akida neuromorphic AI technology to develop new cyber threat-detection tools for the energy grid.
Quantum Ventura in the US is creating cybersecurity applications for the US Department of Energy under the Small Business Innovation Research (SBIR) Programme. The program is focused on “Cyber threat-detection using neuromorphic computing,” which aims to develop an advanced approach to detect and prevent cyberattacks on computer networks and critical infrastructure using the event-driven neural network.
Event-driven, or neuromorphic, AI, is inherently lower power than conventional neural network accelerators, providing energy efficiency with high performance for chip designers to provide AI on battery-operated or fan-less embedded, edge devices.
The grid is a key vulnerability and there are several projects looking at new ways to make it more secure at the edge.
The Akida neural processor and AI IP can find unknown, repeating patterns in vast amounts of noisy data, which is an asset in cyber threat detection. Once Akida learns what normal network traffic patterns look like, it can detect malware, attack signatures, and other types of malicious activity. Akida has the ability to learn on device in a secure fashion, without the need for cloud retraining, allowing it to quickly learn new attack patterns and adapt to emerging threats.
BrainChip IP supports incremental learning, on-chip learning, and high-speed inference with unsurpassed performance in micro watt to milli-watt power budgets, ideal for advanced AI/ML devices such as intelligent sensors, medical devices, high-end video-object detection, and ADAS/autonomous systems.
“Neuromorphic computing is an ideal technology for threat detection because of its small size and power, accuracy, and in particular, its ability to learn and adapt, since attackers are constantly changing their tactics,” said Srini Vasan, President and CEO of Quantum Ventura Inc. “We believe that our solution incorporating BrainChip’s Akida will be a breakthrough for defending against cyber threats and address additional applications as well.”
- Europe makes smart grid security recommendations
- Built-in cybersecurity for Renesas smart meter chips
“This project with the Department of Energy offers an ideal opportunity to demonstrate how Akida opens up new possibilities in cybersecurity, including the ability to run complex AI algorithms at the edge, reducing the dependency on the cloud” said Rob Telson, Vice President of Ecosystems & Partnerships at BrainChip. “We are excited about the progress that Quantum Ventura are making with BrainChip in this project which is extremely vital to the safety of the nation’s infrastructure.”
www.quantumventura.com/; www.brainchip.com.
As I said the PR guy should be reassigned.
BrainChip teams up with Quantum Ventura for grid AI cyber threat detection
Bravo
If ARM was an arm, BRN would be its biceps💪!
supersonic001
Regular
BrainChip on LinkedIn: BrainChip teams for grid AI cyber threat detection
eeNews Europe - BrainChip teams for grid AI cyber threat detection https://lnkd.in/gNAiuqqw via Nick Flaherty
supersonic001
Regular
Dozzaman1977
Regular
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