Evening 7fur7 ,
Looking ok , bit over 9,000,000 units in 1 hour 20 min of trade .
Yesterday total trade for day 19,834,311 units.
Alot more condensed today .
Regards,
Esq.
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Looking ok , bit over 9,000,000 units in 1 hour 20 min of trade .
Yesterday total trade for day 19,834,311 units.
Alot more condensed today .
Regards,
Esq.
stuart888
Regular
So smart to point this EcoSystem out. I own SOXQ semiconductor etf, and Cadence is in that.View attachment 60174 View attachment 60175 View attachment 60176
Advanced SoC Research for Automotive 28/12/2023 | Socionext US
We're thrilled to announce our participation in an innovative automotive chiplet R&D project spearheaded by The New Energy and Industrial Technology Development Organization (NEDO). As proud members of the Advanced SoC Research for Automotive (ASRA) group, we're looking forward to this project...www.linkedin.com
SOXQ etf has the top 30 at a very low expense rate.
On my to do list tomorrow, listen to the last Cadence earnings call. Tom Lee has been in their corner, so that means a lot.
Plus it is a Tom Lee Granny Shot!
Tothemoon24
Top 20
SwRI awarded $6.4 million to advance cognitive electronic warfare | Southwest Research Institute
SwRI engineers developing EW algorithm to ‘think like a human’
SwRI engineers are implementing feature extraction algorithms on advanced platforms, including neuromorphic processing hardware. Neuromorphic computing systems use spiking neural networks to emulate how the human brain retains “memories,” making processing faster, more accurate and efficient.
“We are working to provide the Air Force with efficient and resilient cognitive EW solutions,” said SwRI’s Dr. Steven Harbour, who is applying his doctorate in neuroscience to lead the development of neuromorphic systems. “We are implementing neuromorphics in hardware to be used for the first time in an operational combat environment. It puts us well ahead of our adversaries. To the best of our knowledge, we are the first in the world to do this.”
Bravo
If ARM was an arm, BRN would be its biceps💪!
Akash AnandInformation Technology Markets2024-04-03
The need for energy-efficient computing solutions drives growth in the Neuromorphic Computing Market.
Neuromorphic Computing Market Scope and Overview
In the realm of cutting-edge technology, where the boundaries between human intelligence and machine capabilities blur, Neuromorphic Computing stands at the forefront of innovation. This transformative approach to computing, inspired by the intricate workings of the human brain, heralds a new era of efficiency, adaptability, and intelligence in artificial intelligence systems. Unlike traditional computing paradigms, which rely on rigid algorithms and predefined instructions, neuromorphic computing mimics the brain's neural architecture, enabling machines to process and interpret data in a remarkably human-like manner.
With its promise of ultra-low power consumption, real-time data processing, and cognitive capabilities, the Neuromorphic Computing Market emerges as a beacon of hope for revolutionizing industries ranging from healthcare and finance to robotics and autonomous vehicles. As organizations seek to unlock the full potential of AI-driven applications, the Neuromorphic Computing Market stands poised to reshape the technological landscape, ushering in an era of unprecedented innovation and discovery.
The Neuromorphic Computing Market size was evaluated USD 4.34 billion in 2022 and is expected to hit USD 20.26 billion by 2030 and growing at a CAGR of 21.24 % by 2023-2030.
Market Analysis
The neuromorphic computing market includes a broad spectrum of hardware and software solutions crafted to mimic the parallel processing and learning abilities of the human brain. It encompasses neuromorphic chips, processors, neural network algorithms, and software frameworks, catering to diverse application domains. With data volumes soaring and a rising need for real-time intelligence, the neuromorphic computing market is set for substantial growth ahead. As businesses strive to leverage AI for decision-making, optimization, and automation, neuromorphic computing presents an enticing opportunity to unearth fresh insights and fuel innovation.
Get a Report Sample of Neuromorphic Computing Market www.snsinsider.com/sample-request/3094
Key Players:
The major players are General Vision, Samsung Electronics Co., Ltd, Brain Corporation, HRL Laboratories LLC, Knowm Inc., BrainChip Holdings Ltd., International Business Machines Corporation, Hewlett Packard Company, Intel Corporation, CEA-Leti, Qualcomm Technologies, Inc, Vicarious FPC, Inc., Applied Brain Research Inc., and others in the final report.
Growth Drivers and Opportunities Analysis
The Neuromorphic Computing Market is propelled by a confluence of key drivers and abundant growth opportunities, positioning it at the forefront of technological advancement. Firstly, the insatiable demand for processing power in AI applications fuels the market's growth trajectory. Neuromorphic computing offers a paradigm shift by emulating the brain's neural networks, enabling unparalleled efficiency and scalability in processing vast amounts of data.
Secondly, the pursuit of energy-efficient computing solutions amplifies the market's momentum. With traditional computing architectures reaching their limits in power efficiency, Neuromorphic Computing emerges as a sustainable alternative, promising significant reductions in energy consumption while maintaining high computational performance.
Moreover, the expanding scope of applications across industries presents lucrative opportunities for market expansion. From healthcare diagnostics and autonomous vehicles to cybersecurity and smart infrastructure, Neuromorphic Computing unlocks innovative solutions for complex real-world challenges, driving adoption across diverse sectors.
Furthermore, advancements in hardware and software technologies accelerate market growth by enhancing performance and versatility. Continued research and development efforts focus on refining neuromorphic chips, algorithms, and software frameworks, paving the way for breakthrough innovations and market penetration.
Additionally, strategic collaborations between industry players, academia, and government bodies foster a conducive ecosystem for market growth. Partnerships facilitate knowledge exchange, resource sharing, and joint research initiatives, driving innovation and accelerating market maturity.
In conclusion, the Neuromorphic Computing Market thrives on a potent mix of drivers and opportunities, poised to reshape the future of computing. As organizations harness the transformative potential of neuromorphic technologies, the market is poised to witness robust growth, ushering in a new era of intelligent computing solutions.
Market Segmentation and Sub-Segmentation Included Are:
By Component
- Hardware
- Software
- Signal Processing
- Image Processing
- Data Processing
- Object Detection
- Others
- Edge
- Cloud
- Consumer Electronics
- Automotive
- Healthcare
- Military & Defense
- Others
The recession's impact on the neuromorphic computing market is complex, influencing both supply and demand dynamics. Economic downturns often result in reduced research and development budgets, slowing innovation and investment in new technologies. Additionally, global economic uncertainties may decrease consumer confidence and discretionary spending, affecting demand for neuromorphic computing solutions. However, recessions can also spur innovation as organizations seek cost-effective ways to enhance efficiency, productivity, and competitiveness. In times of economic uncertainty, the ability of neuromorphic computing to provide actionable insights, automate tasks, and optimize resource allocation becomes increasingly valuable, driving adoption across various industries.
Impact of Russia-Ukraine War
The Russia-Ukraine war has implications for the neuromorphic computing market, particularly in terms of supply chain disruptions, geopolitical uncertainties, and shifts in market dynamics. As geopolitical tensions escalate, companies may face challenges related to sourcing raw materials, components, and talent from affected regions. Moreover, fluctuations in currency exchange rates and trade policies could impact the cost of manufacturing and distribution, affecting the profitability of neuromorphic computing vendors. However, the crisis may also spur investment in domestic innovation and research initiatives, as countries seek to reduce dependence on foreign technologies and strengthen their technological capabilities.
Harnessing Strengths of the Neuromorphic Computing Market for Growth
- Unparalleled Efficiency: Neuromorphic computing offers exceptional energy efficiency by mimicking the brain's neural networks, enabling efficient processing of large datasets with minimal power consumption.
- Scalability: The architecture of neuromorphic chips allows for seamless scalability, making it suitable for a wide range of applications, from edge devices to supercomputers.
- Real-time Processing: Neuromorphic computing enables real-time processing of sensory data, making it ideal for applications requiring low latency and high-speed decision-making.
- Adaptability: Neuromorphic systems exhibit adaptability and self-learning capabilities, allowing them to continuously improve and optimize performance based on environmental changes and user interactions.
- Robustness: With fault-tolerant and resilient architectures, neuromorphic computing systems can withstand hardware failures and disruptions, ensuring reliable operation in diverse environments.
- Versatility: Neuromorphic computing finds applications across various industries, including healthcare, finance, automotive, and cybersecurity, demonstrating its versatility and potential for addressing complex challenges.
- Innovation Catalyst: The unique architecture of neuromorphic computing sparks innovation by enabling novel approaches to problem-solving and facilitating the development of cutting-edge AI algorithms and applications.
- Interdisciplinary Collaboration: The interdisciplinary nature of neuromorphic computing fosters collaboration between experts in neuroscience, computer science, engineering, and other fields, driving cross-disciplinary advancements and accelerating market growth.
The global neuromorphic computing market sees regional disparities in adoption, investment, and regulation. North America takes the lead, benefiting from prominent tech firms, top research canters, and supportive governmental initiatives. A vibrant landscape of startups, investors, and academic bodies fosters innovation and entrepreneurship, propelling neuromorphic tech development. Europe also holds a significant position, with substantial AI research investments, favourable regulations, and rising demand for cognitive computing solutions. In the Asia-Pacific, rapid urbanization, digitalization, and growing AI investments from both public and private sectors present substantial growth prospects.
Report www.snsinsider.com/checkout/3094
Recent Developments
- Leading tech firms like Intel, IBM, and Qualcomm are heavily investing in neuromorphic chip design to enhance AI performance and energy efficiency.
- Intel's Loihi chip boasts exceptional real-time learning and inference capabilities, empowering edge devices and autonomous systems.
- Startups like BrainChip and Neuromorphic Systems are innovating in neuromorphic computing, exploring advanced algorithms for AI advancement.
- Collaborations like the Human Brain Project and IBM Research foster interdisciplinary research, fueling future breakthroughs in this field.
- The major key takeaways from the neuromorphic computing market underscore the transformative potential of brain-inspired computing for driving innovation, efficiency, and sustainability across industries.
- As organizations navigate through economic uncertainties and geopolitical challenges, investing in neuromorphic computing offers a path towards resilience and competitiveness in the digital age.
- By harnessing the power of neuromorphic technologies, businesses can unlock new insights, automate complex tasks, and accelerate decision-making, leading to enhanced productivity, agility, and customer satisfaction.
Neuromorphic Computing Market Gains Momentum Driven by Demand for Brain Inspired Computing Architectures As Revealed In New Report
The need for energy-efficient computing solutions drives growth in the Neuromorphic Computing Market.
Attachments
Bravo
If ARM was an arm, BRN would be its biceps💪!
Damo4
Regular
It will become impossible to rely on GPS navigation in battle.
• 13 h
https://www.msn.com/en-au/news/othe...E&cvid=6390ddf3389f49b28a9ef544e393cec9&ei=31
This technological leap not only showcases the advancing capabilities of combat drones but also raises questions about the future of warfare as AI becomes a critical asset on the battlefield.
"Flights are determined in advance, and the drones follow that flight plan," a source familiar with the Ukrainian UAV program told CNN. This approach allows for remarkable accuracy, with the potential to hit targets within a few meters of their intended location.
Ukraine's Game-Changing Drone Strategy: A Glimpse into AI-Powered Warfare
Story by Henrik Rothen• 13 h
https://www.msn.com/en-au/news/othe...E&cvid=6390ddf3389f49b28a9ef544e393cec9&ei=31
This technological leap not only showcases the advancing capabilities of combat drones but also raises questions about the future of warfare as AI becomes a critical asset on the battlefield.
Autonomous Operations: The AI Advantage
Central to the effectiveness of these UAVs is their ability to operate under challenging conditions, including jamming and other forms of electronic interference. By incorporating AI with machine vision, these drones can independently recognize and adjust to terrain, ensuring accurate target engagement without the need for constant satellite communication."Flights are determined in advance, and the drones follow that flight plan," a source familiar with the Ukrainian UAV program told CNN. This approach allows for remarkable accuracy, with the potential to hit targets within a few meters of their intended location.
Afternoon JB49 ,SwRI awarded $6.4 million to advance cognitive electronic warfare | Southwest Research Institute
SwRI engineers developing EW algorithm to ‘think like a human’www.swri.org
SwRI engineers are implementing feature extraction algorithms on advanced platforms, including neuromorphic processing hardware. Neuromorphic computing systems use spiking neural networks to emulate how the human brain retains “memories,” making processing faster, more accurate and efficient.
“We are working to provide the Air Force with efficient and resilient cognitive EW solutions,” said SwRI’s Dr. Steven Harbour, who is applying his doctorate in neuroscience to lead the development of neuromorphic systems. “We are implementing neuromorphics in hardware to be used for the first time in an operational combat environment. It puts us well ahead of our adversaries. To the best of our knowledge, we are the first in the world to do this.”
Nice find ,............... .. Is this not the same thing, or very similar , which ISL ( Information System Laboratories ) were raving about only last week???? Having successfully utilised our chip.
Possibly one for Diogenes to clarify if possible.
Regards,
Esq.
mrgds
Regular
Pom down under
Top 20
Very weird BRN released this news so early, this sort of tells me we ain’t go get much news/revenue before the AGM, so are they are trying to soften the blow? Hope I’m wrongMorning IloveLamp
BrainChip and Socionext expect Akida silicon in Q3 | Electronics Weekly
BrainChip and Socionext expect engineering samples of their neural net processor Akida in Q3. They are being made on a TSMC MPW run. BrainChip haswww.electronicsweekly.com
This from Apr 2020, so could that mean that Socionext has something to offer with Akida already built in?
BrainChip and Socionext expect Akida silicon in Q3
BrainChip and Socionext expect engineering samples of their neural net processor Akida in Q3. They are being made on a TSMC MPW run.
BrainChip and Socionext expect Akida silicon in Q3
BrainChip and Socionext expect Akida silicon in Q3brainchip.com
Morning everyone, have a great day ❤
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Bravo
If ARM was an arm, BRN would be its biceps💪!
NASA Successfully Tests Autonomous Moon Rovers
The CADRE rovers are destined for a future CLPS commercial payload mission.By Ryan Whitwam April 2, 2024
Credit: NASA / JPL-Caltech
After decades of ignoring the lunar surface, NASA and other space agencies are again trying to land on Earth's natural satellite. NASA's Artemis program aims to return humans to the Moon in the next few years, but it's not going to be a quick visit like Apollo. The agency hopes to lay the foundations for a long-term human presence this time, and that means we need to collect data on lunar conditions with modern technology. As part of that initiative, NASA is designing a swarm of semi-autonomous lunar rovers called CADRE (Cooperative Autonomous Distributed Robotic Exploration). After building the first engineering prototypes last year, the agency has full-scale development models online and running tests at JPL's Mars Yard.
The solar-powered robots are designed to be compact and relatively cheap, featuring two stereo cameras, navigation sensors, and a ground-penetrating radar module. They're about the size of a skateboard, and they won't require constant attention at JPL. The CADRE rovers are being designed with short-range mesh networking, allowing them to cooperate to complete a task without human oversight. That's the aspect JPL is currently assessing.
NAS says that two full-scale test rovers have been trundling around the Mars Yard for the last few weeks. JPL set up this location to replicate the surface of Mars for testing Curiosity, Perseverance, and other robots destined for the red planet. However, the sandy pit strewn with pointy rocks is also a good way to test any robot that needs to traverse the harsh surface of another world.
Since they don't need human controllers to make every decision, the team will be able to point the rovers to a region and let them handle all the exploration automatically. The rovers successfully maintained communication as they moved in tandem around the yard. They were able to split tasks between them and adjust their plans when faced with unexpected obstacles. Previously, engineers put the engineering models inside a thermal vacuum chamber to ensure they could withstand the harsh environment on the Moon.
Getting the rovers to the Moon may be the greatest remaining challenge. Since these robots are designed to be advanced scouts, they can't wait for NASA's large-scale Artemis missions with the Space Launch System. CADRE will instead head to the Moon aboard a Commercial Lunar Payload Services (CLPS) mission. The current plan is to send the rovers up with Intuitive Machines 3 (IM-3) in 2025. Unfortunately, that does not guarantee success.
Most recent attempts to land softly on the Moon have failed in one way or another. Intuitive Machines recently flubbed the IM-1 landing, leaving the lander tipped on its side. Japan's SLIM lander also ended up askew, sitting on its nose instead of the landing feet. And then there's CLPS Peregrine lander, which suffered a fuel leak and wasn't even able to reach the Moon. If the CADRE swarm makes it to the surface, NASA expects them to operate for one lunar day, which is about 14 Earth days.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Did someone say "rovers"?
Remember this discovery from 2022? Does this mean we're going to hitch a ride to the Moon in 2025 with Intuitive Machines 3 (IM-3)?
Autonomous driving on the moon has many advantages. They can test the full spectrum and potential without having to consider the dangers of earthly traffic. It does make sense. However, it's again just an "image" thing and won't bring us the revenue we need for sustainable growth. But, still interesting.Did someone say "rovers"?
Remember this discovery from 2022? Does this mean we're going to hitch a ride to the Moon in 2025 with Intuitive Machines 3 (IM-3)?
Bravo
If ARM was an arm, BRN would be its biceps💪!
I beg to differ on the potential revenue side of things @7für7. Due to our ongoing partnership with NASA, I beleive there's roughly a 99.999% chance that AKIDA will also be integrated NASA's HPSC (High-Performance Spaceflight Computer) chip which is being built by Microchip utilising SiFive's 'Intelligence' X280 core.
NASA has stated previously that initial availability will be sometime in 2024 and the chip won't just be for space missions but will also be utilised in application on Earth such as defense, commercial aviation, robotics and medical equipment which should hopefully and conceivably translate into
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White Horse
Regular
Check the date.
You can go back to bed now.
Pom down under
Top 20
Yes would be nice! Let’s seeI beg to differ on the potential revenue side of things @7für7. Due to our ongoing partnership with NASA, I beleive there's roughly a 99.999% chance that AKIDA will be integrated NASA's HPSC (High-Performance Spaceflight Computer) chip which is being built by Microchip utilising SiFive's 'Intelligence' X280 core.
NASA has stated previously that initial availability will be sometime in 2024 and the chip won't just be for space missions but will also be utilised in application on Earth such as defense, commercial aviation, robotics and medical equipment which should hopefully and conceivably translate into
View attachment 60209
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