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Frangipani
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Interesting read about the enormous potential neuromorphic computing holds “for faster and greener telecommunications technologies”:
18 July 2023
Two King’s engineers will lead a project aimed at developing computing technology inspired by the human brain for wireless communications.
Funded by the Engineering and Physical Sciences Research Council (EPSRC) and by the National Science Foundation (NSF) in the United States, the research will enable quicker and more energy efficient computing and telecommunications and allow better integration of AI into wireless communications. This could revolutionise the field of mobile healthcare, telecommunications and robotics.
Professor Osvaldo Simeone and Dr Bipin Rajendran from the Department of Engineering, alongside Professor Vincent Poor from Princeton University, will explore how brain-inspired or neuromorphic computing can be used in the transfer of information via telecommunications networks, serving as the basis for the emergence of new services in 6G networks.
Professor Simeone said:
"The global 5G rollout marks a shift in telecom systems, which are transforming in order to cater to the transmission of intelligence between machines."
“Conventional communications systems are designed to serve as generic bit pipes, transmitting and storing information in bits. This makes it impossible for existing telecommunication networks to adapt to new situations and to tailor their resource consumption to the semantics of the information being exchanged between end points.”
Dr Rajendran added:
“Neuromorphic systems are designed to emulate the behaviour of neural networks in the brain. Using Spiking Neural Networks (SNNs), a type of neural network model, neuromorphic technology transmits information through the occurrence of spikes."
"Neurons in SNNs gather signals over time and send out a spike when a certain threshold is reached. This way, SNNs allow for event-driven and efficient computations, as information is processed only when needed.”
Unlike traditional computers, neuromorphic technology can learn and adapt in real-time. Another significant advantage of neuromorphic computing, according to the researchers, is its energy efficiency. These two features make the integration of neuromorphic computing and telecommunications particularly promising, enabling the use of sophisticated artificial intelligence (AI) tools on mobile devices and systems, providing enhanced services and adapting to user needs.
To develop this cutting-edge technology, Professor Simeone and Dr Rajendran will work with world-leading industrial partners, including Intel Labs, NVIDIA, and AccelerComm. King’s researchers will use their expertise to explore the fundamental principles, algorithms and hardware co-design of neuromorphic communications.
King's engineers to explore brain-inspired computing in 6G telecommunications
Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.
www.kcl.ac.uk
18 July 2023
King's engineers to explore brain-inspired computing in 6G telecommunications
Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.
Two King’s engineers will lead a project aimed at developing computing technology inspired by the human brain for wireless communications.
Funded by the Engineering and Physical Sciences Research Council (EPSRC) and by the National Science Foundation (NSF) in the United States, the research will enable quicker and more energy efficient computing and telecommunications and allow better integration of AI into wireless communications. This could revolutionise the field of mobile healthcare, telecommunications and robotics.
Professor Osvaldo Simeone and Dr Bipin Rajendran from the Department of Engineering, alongside Professor Vincent Poor from Princeton University, will explore how brain-inspired or neuromorphic computing can be used in the transfer of information via telecommunications networks, serving as the basis for the emergence of new services in 6G networks.
Professor Simeone said:
"The global 5G rollout marks a shift in telecom systems, which are transforming in order to cater to the transmission of intelligence between machines."
“Conventional communications systems are designed to serve as generic bit pipes, transmitting and storing information in bits. This makes it impossible for existing telecommunication networks to adapt to new situations and to tailor their resource consumption to the semantics of the information being exchanged between end points.”
Dr Rajendran added:
“Neuromorphic systems are designed to emulate the behaviour of neural networks in the brain. Using Spiking Neural Networks (SNNs), a type of neural network model, neuromorphic technology transmits information through the occurrence of spikes."
"Neurons in SNNs gather signals over time and send out a spike when a certain threshold is reached. This way, SNNs allow for event-driven and efficient computations, as information is processed only when needed.”
Unlike traditional computers, neuromorphic technology can learn and adapt in real-time. Another significant advantage of neuromorphic computing, according to the researchers, is its energy efficiency. These two features make the integration of neuromorphic computing and telecommunications particularly promising, enabling the use of sophisticated artificial intelligence (AI) tools on mobile devices and systems, providing enhanced services and adapting to user needs.
To develop this cutting-edge technology, Professor Simeone and Dr Rajendran will work with world-leading industrial partners, including Intel Labs, NVIDIA, and AccelerComm. King’s researchers will use their expertise to explore the fundamental principles, algorithms and hardware co-design of neuromorphic communications.
In this story
Dr Bipin Rajendran
Reader in Engineering
Professor Osvaldo Simeone
Professor of Information Engineering'To develop this cutting-edge technology, Professor Simeone and Dr Rajendran will work with world-leading industrial partners, including Intel Labs, NVIDIA, and AccelerComm. King’s researchers will use their expertise to explore the fundamental principles, algorithms and hardware co-design of neuromorphic communications'.Interesting read about the enormous potential neuromorphic computing holds “for faster and greener telecommunications technologies”:
King's engineers to explore brain-inspired computing in 6G telecommunications
Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.www.kcl.ac.uk
18 July 2023
King's engineers to explore brain-inspired computing in 6G telecommunications
Neuromorphic computing holds significant potential for faster and greener telecommunications technologies.
Two King’s engineers will lead a project aimed at developing computing technology inspired by the human brain for wireless communications.
Funded by the Engineering and Physical Sciences Research Council (EPSRC) and by the National Science Foundation (NSF) in the United States, the research will enable quicker and more energy efficient computing and telecommunications and allow better integration of AI into wireless communications. This could revolutionise the field of mobile healthcare, telecommunications and robotics.
Professor Osvaldo Simeone and Dr Bipin Rajendran from the Department of Engineering, alongside Professor Vincent Poor from Princeton University, will explore how brain-inspired or neuromorphic computing can be used in the transfer of information via telecommunications networks, serving as the basis for the emergence of new services in 6G networks.
Professor Simeone said:
"The global 5G rollout marks a shift in telecom systems, which are transforming in order to cater to the transmission of intelligence between machines."
“Conventional communications systems are designed to serve as generic bit pipes, transmitting and storing information in bits. This makes it impossible for existing telecommunication networks to adapt to new situations and to tailor their resource consumption to the semantics of the information being exchanged between end points.”
Dr Rajendran added:
“Neuromorphic systems are designed to emulate the behaviour of neural networks in the brain. Using Spiking Neural Networks (SNNs), a type of neural network model, neuromorphic technology transmits information through the occurrence of spikes."
"Neurons in SNNs gather signals over time and send out a spike when a certain threshold is reached. This way, SNNs allow for event-driven and efficient computations, as information is processed only when needed.”
Unlike traditional computers, neuromorphic technology can learn and adapt in real-time. Another significant advantage of neuromorphic computing, according to the researchers, is its energy efficiency. These two features make the integration of neuromorphic computing and telecommunications particularly promising, enabling the use of sophisticated artificial intelligence (AI) tools on mobile devices and systems, providing enhanced services and adapting to user needs.
To develop this cutting-edge technology, Professor Simeone and Dr Rajendran will work with world-leading industrial partners, including Intel Labs, NVIDIA, and AccelerComm. King’s researchers will use their expertise to explore the fundamental principles, algorithms and hardware co-design of neuromorphic communications.
In this story
Dr Bipin Rajendran
Reader in Engineering
Professor Osvaldo Simeone
Professor of Information Engineering
Again it seems that BRN is ignored in leui of bigger players, despite supposedly having the commercial technology already figured out. Unless of course Intel Labs gives us a shoe-in but more likely they will leverage off our ideas for all of the accolades.
I begin to wonder if our company is ruthless enough to succeed in the competitive tech world or if they're just gleefully showing everyone, including our competitors how good our tech is without driving home the advantage.
Expanding the Use Cases for Event-Based Vision Systems | Webinars | Photonics Spectra
While the concept of neuromorphic-enabled event cameras isn’t new, the last few years have seen a significant pick up in the adoption of this te
Expanding the Use Cases for Event-Based Vision Systems
Presentation will begin: Wednesday, July 19, 2023 - 12:30 PM EDT
Presented by: Luca Verre, Prophesee
While the concept of neuromorphic-enabled event cameras isn’t new, the last few years have seen a significant pick up in the adoption of this technology. This is due, in part, to the progress made by sensor companies in improving sensor performance, size, and power. Additionally, several industries have leveraged the benefits of these sensors and software for machine vision systems that can capture and analyze visual data more efficiently.
Event cameras have fundamental benefits in terms of efficiency, speed, and dynamic range. Event-based vision sensors can achieve better speed versus power consumption trade-offs. By relying on a different way of acquiring information compared with a conventional camera, they also address applications in the field of machine vision and AI.
These benefits, driven by an escalation in the volume and complexity of visual data processing in many types of applications, from industrial to transportation to consumer and mobile, have fueled interest in this technology. This in turn has ignited a proliferation of development activity and experimentation, spurred on by Open-Source initiatives and more advanced development kits and tools from some of the early providers of event cameras.
Event-based vision can no longer just be viewed as an approach for industrial vision systems such as robotics, inspection, and predictive maintenance, although this remains the largest market. The technology has been used to explore the outer reaches of the solar system, help restore sight to the visually impaired, and identify gene sequences in advanced scientific research. Event cameras are also now making inroads into more consumer-facing applications such as mobile phones, cars, wearables, and AR/VR systems, which is significant from a market growth standpoint.
This talk looks at the current state of neuromorphic-enabled vision systems and provides a glimpse into a future where the systems can allow for more efficient and helpful vision-enabled purposes across all aspects of life.
About the presenter
Luca VerreLuca Verre is co-founder and CEO of Prophesee, the inventor of the world’s most advanced neuromorphic vision systems. Prophesee’s patented technology is inspired by human vision, giving sight back to the blind and unleashing new performance, safety, and autonomy standards to robots, consumer devices, and cars.
Verre is a World Economic Forum Technology Pioneer. He has extensive international management experience in the industrial and electronics sectors. His experience includes project and product management, marketing, and business development roles at Schneider Electric. Prior to Schneider Electric, he worked as a research assistant in photonics at Imperial College London. Verre holds a Master of Science degree in physics, electronics, and industrial engineering from Politecnico di Milano and École Centrale and a Master of Business Administration degree from INSEAD.
About the sponsor(s)
Prophesee SA - Inventor of neuromorphic vision systems inspired by human vision. Technology uses a sensor design and AI algorithms that mimic the eye and brain to reveal what was invisible until now using standard frame-based technology.
Sirod69
bavarian girl ;-)
Justin KinseyJustin Kinsey• 2. President at SBT | 17 years of advising leaders in the semiconductor industry and architecting teams | from startups to F500
4 Std.
I have been asked multiple times recently: “What companies are you betting on/investing in the AI/ML, and accelerated computing ecosystem?” where it is hard to separate the signal from the noise. So here is my “lucky 13 list” that I am betting on/Investing in:
Astera Labs Co-founders Jitendra M., Sanjay Gajendra, and Casey Morrison are leading an interconnect revolution with their LEO platform, removing bottlenecks in memory bandwidth and enabling the pooling of memory.
BrainChip CEO Sean Hehir and team have released a first-to-market digital neuromorphic processor IP they call “Akida”, which localizes AI/ML compute functions at the edge
Condor Computing Corporation in Austin TX is led by industry veteran Ty Garibay whose accomplishments are prolific. The company is focused on designing ultra-high-performance processors based on RISC-V, which I believe is the future of chip architecture.
Cornami, Inc. Has developed a novel architecture that enables end-2-end encryption through fully homomorphic encryption (I am all-in on FHE). CEO Walden C. ( Wally ) Rhines believes is as well.
Enfabrica Co-founders Rochan Sankar and Shrijeet Mukherjee came out of stealth this year and announced their concept for data center networking they’ve dubbed “Accelerated Compute Fabric”, which will eliminate I/O bottlenecks.
Etched.ai Is designing specialized acceleration chips to run LLMs and nothing else. Simplicity trumps complexity. Harvard classmates Gavin Uberti and Christopher Zhu founded the company.
Fabric Cryptography is another FHE-forward cryptography hardware technology company founded and led by a “Mt. Rushmore” of experience in Arithmetics (Michael Gao), Software (Gilbert Hendry), Zero-Knowledge-proofs (Rami Akeela, Ph.D. Akeela), and RISC-V hardware (David Garrett).
Kneron Is led by founder 劉峻誠Albert Liu and is developing on-chip edge AI solutions that work seamlessly with cloud-based AI. Kneron has gained considerable traction in the automotive sector by integrating into advanced vehicle safety systems.
Lemurian Labs Is co-founded and led by Jay Dawani and Vassil Dimitrov, both accomplished mathematicians. The company is developing a processor for AI/ML that employs its unique approach to arithmetic for acceleration.
Syntiant Corp., co-founded by Kurt Busch, Pieter Vorenkamp, Stephen Bailey and Jeremy Holleman, is going to enable deep learning and AI capabilities in billions of edge devices worldwide through their NDP's.
Tenstorrent Inc. is led by renowned architect Jim Keller. Their RISC-V architecture and performance-leading hardware is complemented by software, a cloud solution, and licensable IP, all of which have garnered the attention of top global partners.
Untether AI.ai is led and co-founded by martin snelgrove, Darrick Wiebe, and Raymond Chik, the company’s tsunAImi accelerators deliver the world’s highest compute density for diverse AI workloads like vision, natural language processing, and inference.
Revolutionizing Predictive Maintenance with AI: A Case Study
Revolutionizing Predictive Maintenance with AI: A Case Study
Introduction: In today's rapidly evolving landscape, organizations are seeking innovative solutions to optimize maintenance operations and improve asset performance. This case study explores how AI Labs Inc.
Meta and Qualcomm team up to run big A.I. models on phones
Large language models (LLMs) are the technology that underpin applications like OpenAI’s ChatGPT that can return out text that resembles human output.
www-nbcwashington-com.cdn.ampproject.org
Boab
I wish I could paint like Vincent
A reminder what Anil and Luca said at the partnership announcement back in June 2022Expanding the Use Cases for Event-Based Vision Systems | Webinars | Photonics Spectra
While the concept of neuromorphic-enabled event cameras isn’t new, the last few years have seen a significant pick up in the adoption of this teevents.photonics.com
Expanding the Use Cases for Event-Based Vision Systems
Presentation will begin: Wednesday, July 19, 2023 - 12:30 PM EDT
Presented by: Luca Verre, Prophesee
While the concept of neuromorphic-enabled event cameras isn’t new, the last few years have seen a significant pick up in the adoption of this technology. This is due, in part, to the progress made by sensor companies in improving sensor performance, size, and power. Additionally, several industries have leveraged the benefits of these sensors and software for machine vision systems that can capture and analyze visual data more efficiently.
Event cameras have fundamental benefits in terms of efficiency, speed, and dynamic range. Event-based vision sensors can achieve better speed versus power consumption trade-offs. By relying on a different way of acquiring information compared with a conventional camera, they also address applications in the field of machine vision and AI.
These benefits, driven by an escalation in the volume and complexity of visual data processing in many types of applications, from industrial to transportation to consumer and mobile, have fueled interest in this technology. This in turn has ignited a proliferation of development activity and experimentation, spurred on by Open-Source initiatives and more advanced development kits and tools from some of the early providers of event cameras.
Event-based vision can no longer just be viewed as an approach for industrial vision systems such as robotics, inspection, and predictive maintenance, although this remains the largest market. The technology has been used to explore the outer reaches of the solar system, help restore sight to the visually impaired, and identify gene sequences in advanced scientific research. Event cameras are also now making inroads into more consumer-facing applications such as mobile phones, cars, wearables, and AR/VR systems, which is significant from a market growth standpoint.
This talk looks at the current state of neuromorphic-enabled vision systems and provides a glimpse into a future where the systems can allow for more efficient and helpful vision-enabled purposes across all aspects of life.
About the presenter
Luca VerreLuca Verre is co-founder and CEO of Prophesee, the inventor of the world’s most advanced neuromorphic vision systems. Prophesee’s patented technology is inspired by human vision, giving sight back to the blind and unleashing new performance, safety, and autonomy standards to robots, consumer devices, and cars.
Verre is a World Economic Forum Technology Pioneer. He has extensive international management experience in the industrial and electronics sectors. His experience includes project and product management, marketing, and business development roles at Schneider Electric. Prior to Schneider Electric, he worked as a research assistant in photonics at Imperial College London. Verre holds a Master of Science degree in physics, electronics, and industrial engineering from Politecnico di Milano and École Centrale and a Master of Business Administration degree from INSEAD.
About the sponsor(s)
Prophesee SA - Inventor of neuromorphic vision systems inspired by human vision. Technology uses a sensor design and AI algorithms that mimic the eye and brain to reveal what was invisible until now using standard frame-based technology.
buena suerte :-)
BOB Bank of Brainchip
PRICE SENSITIVE !!!!!
Last edited:
buena suerte :-)
BOB Bank of Brainchip
Okeydokey01
Regular
Apologies if already posted.
Valeo wins best sensors 2023 for its SCALA 3 LIDAR. I have just found the below article published a couple pf days ago.
I really liked
"Valeo SCALA 3 is more than hardware. It comes with a suite of software modules that includes algorithms for both artificial intelligence and perception. The AI system collects data from the LiDAR sensors and analyzes them in real-time, enabling the SCALA 3 to direct an automobile's trajectory and predict clear paths on the road ahead."
and
"Valeo's SCALA 3 LiDAR has already been chosen by a leading American robotaxi company and a leading Asian automobile manufacturer and has registered orders worth over 1 billion Euros."
Valeo wins best sensors 2023 for its SCALA 3 LIDAR. I have just found the below article published a couple pf days ago.
I really liked
"Valeo SCALA 3 is more than hardware. It comes with a suite of software modules that includes algorithms for both artificial intelligence and perception. The AI system collects data from the LiDAR sensors and analyzes them in real-time, enabling the SCALA 3 to direct an automobile's trajectory and predict clear paths on the road ahead."
and
"Valeo's SCALA 3 LiDAR has already been chosen by a leading American robotaxi company and a leading Asian automobile manufacturer and has registered orders worth over 1 billion Euros."
wilzy123
Founding Member
buena suerte :-)
BOB Bank of Brainchip
toasty
Regular
Detail of this patent is a bit above my pay grade........someone (Dio?) care to explain what it means in simple terms?? TIA
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