BRN Discussion Ongoing

7für7

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Yeah… it’s..it’s time for a speeding ticket right? ASX? Right? No? Of course it is ….yeah…

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Bravo

If ARM was an arm, BRN would be its biceps💪!
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APPLICATIONS

New satellite to show how AI advances Earth observation​

02/07/20242542 VIEWS14 LIKES
ESA / Applications / Observing the Earth / Φsat-2
Artificial intelligence technologies have achieved remarkable successes and continue to show their value as backbones in scientific research and real-world applications.
ESA’s new Φsat-2 mission, launching in the coming weeks, will push the boundaries of AI for Earth observation – demonstrating the transformative potential of AI for space technology.
Earth observation has, for decades, provided a rich stream of actionable data for scientists, businesses and policymakers. Thanks to new satellites and advanced sensors, the scale and quality of available Earth observation data have risen exponentially in the past decade.
The integration of AI has significantly enhanced Earth observation. AI capabilities allow for more data to be processed quickly and accurately, helping to enable to transform vast amounts of raw data into actionable insights.
As part of an initiative to promote the development and implementation of innovative technologies onboard Earth observation missions, ESA launched Ф-sat-1 in 2020. It was ESA’s first experiment to demonstrate how artificial intelligence can be used for Earth observation and paved the way for its successor: Φsat-2.
Φsat-2 integrated Φsat-2 integrated
Φsat-2 is a dedicated AI mission which will fully explore the benefits and capabilities of utilising extended onboard processing and further demonstrate the benefits of using AI for innovative Earth observation.
Measuring just 22 x 10 x 33 cm, ESA’s Φsat-2 satellite is equipped with a multispectral camera and powerful AI computer that analyses and processes imagery onboard – promising to deliver smarter and more efficient ways of monitoring our planet.
With six AI applications running onboard, the satellite is designed to turn images into maps, detect clouds in the images, classify them and provide insight into cloud distribution, detect and classify vessels, compress images on board and reconstruct them in the ground reducing the download time, spot anomalies in marine ecosystems and detect wildfires.
ESA’s Φsat-2 Technical Officer Nicola Melega, commented, “Φsat-2 will unlock a new era of real-time insights from space and will allow for custom AI apps to be easily developed, installed, and operated on the satellite even while in orbit. This adaptability maximises the satellite's value for scientists, businesses and governments.”
The Φsat-2 mission is a collaborative effort between ESA and Open Cosmos who serves as the prime contractor, supported by an industrial consortium including Ubotica, GGI, CEiiA, GEO-K, KP-Labs, and SIMERA.
Play
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Φsat-2 integration into the Exolaunch deployer
Access the video
Φsat-2, which shares its ride into orbit with ESA’s Arctic Weather Satellite, is scheduled to liftoff in July 2024 on a SpaceX Falcon 9 from the Vandenberg Air Force Base, California, in the US.
Φsat-2 carries a multispectral instrument that images Earth in seven different bands and, through its AI applications, is capable of many things that can provide actionable information on the ground, including:
Cloud detection
Unlike traditional satellites that downlink all captured images, including those obscured by clouds, Φsat-2 processes these images directly in orbit, ensuring that only clear, usable images are sent back to Earth.
Developed by KP Labs, this application can also classify clouds and provide insights into cloud distribution. This gives users more flexibility when it is time to decide whether an image is usable or not.
Street map generation
The Sat2Map application, developed by CGI, converts satellite imagery into street maps. This capability is particularly beneficial for emergency response teams, enabling them to identify accessible roads during disasters such as floods or earthquakes.
When the satellite orbits over the affected area and acquires images, the images are passed to the onboard processer that will identify streets and generate a corresponding map.
Initially, this application will be demonstrated over Southeast Asia, showcasing its potential to aid in crisis management.
Maritime vessel detection
The maritime vessel detection application, developed by CEiiA, utilises machine learning techniques to automatically detect and classify vessels in specified regions, facilitating the monitoring of activities like illegal fishing. This application underscores the satellite’s role in supporting maritime security and environmental conservation efforts.
Training Φsat-2’s autonomous vessel awareness application Training Φsat-2’s autonomous vessel awareness application
On-board image compression and reconstruction
Developed by GEO-K, this application is responsible for compressing images on board. By significantly reducing file sizes, this application increases the volume and speed of data downloads. After being downlinked to the ground, the images are reconstructed using a dedicated decoder. The first demonstrations of this technology will occur over Europe, focusing on the detection of buildings.
Φsat-2’s capabilities have been further expanded with the incorporation of two additional AI applications that will be uploaded once the satellite is in orbit.
These AI applications were the winning entries in the OrbitalAI challenge organized by ESA’s Φ-lab and was designed to give companies the change to pioneer in-orbit Earth observation data processing. The winning applications are:
Marine anomaly detection
Developed by IRT Saint Exupery Technical Research, this application uses machine learning algorithm to spot anomalies in marine ecosystems – identifying threats to the marine ecosystem such as oil spills, harmful algae blooms and heavy sediment discharges in real-time.
Wildfire detection
The wildfire detection system, developed by Thales Alenia Space, uses machine learning to provide critical real-time information to response teams. The tool provides a classification report that helps firefighters locate wildfires, track fire spread and identify potential hazards.
PhiFireAI classification PhiFireAI classification





To the naysayers, who always seem to proclaim that we would never be able to compete with the likes of industry Goliath's such as Intel.

Well, from the latest announcement, I would say it looks like BrainChip is well and truly being chosen IN SPACE, which is pretty cool or pretty rad-hard depending on your own interpretation of things.😝


This is what Mark Davies, CEO of Intel had to say in this article from March 2023.


Screenshot 2024-07-18 at 6.44.30 pm.png




 
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Diogenese

Top 20
You now that food grade plastic -

it's actually quite chewy.
 
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wilzy123

Founding Member
Maybe that's because we're not a chip maker??? Our IP could concievably be in all those company's products..........

Oh dear............

Might be time for you to take a walk?

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Flenton

Regular
To the naysayers, who always seem to proclaim that we would never be able to compete with the likes of industry Goliath's such as Intel.

Well, from the latest announcement, I would say it looks like BrainChip is well and truly being chosen IN SPACE, which is pretty cool or pretty rad-hard depending on your own interpretation of things.😝


This is what Mark Davies, CEO of Intel had to say in this article from March 2023.


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Do you know how the cordless drill first came about?

'Well aware that outer space didn't come with electrical sockets, NASA joined with Black and Decker, which was already working on cordless technology in the 1950s [source: NASA 360].'

Now look at how much is cordless in the world today.

Just saying.
 
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miaeffect

Oat latte lover
Do you know how the cordless drill first came about?

'Well aware that outer space didn't come with electrical sockets, NASA joined with Black and Decker, which was already working on cordless technology in the 1950s [source: NASA 360].'

Now look at how much is cordless in the world today.

Just saying.



Just saying.
 
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Dallas

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Dallas

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I see we got noticed in a current global waste management market research report. A slice of that mkt would be welcome.

Snipped some bits.


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Looks like Pedro is enjoying his new toy so far :)






View attachment 65618
Wonder if this is why Dr Machado is excited to get his hands on Akida ;)



The AQUABRAIN impact case focused on Behavioural Analysis for AI-assisted Decision-Making (BEHAVIOR-AI) is underpinned by research focusing on the utilisation of Intelligent Edge devices, which operate independently of the internet using AI and Machine Learning algorithms. This research has generated valuable insights and findings by integrating behavioural analysis with AI algorithms, with applications in healthcare [R1, R5], agriculture/aquaculture [R1, R2, R3, R4] and environmental monitoring [R1, R2, R3, R4]. Personalised temperature regulation using Intelligent Edge devices has been identified as a significant factor in improving well-being and preventing heat-related illnesses.

Dr Pedro Machado and Dr Isibor Kennedy Ihianle have contributed their expertise to the research, with their respective interests in neuromorphic engineering, edge computing, and pervasive computing. The research is interdisciplinary, emphasising sustainable practices, and aligned with the Sustainable Development Goals. The contextual aspects include advancements in edge computing, interdisciplinary collaboration, and the aim to enhance health and quality of life while addressing climate action and the preservation of aquatic ecosystems.
 
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Tothemoon24

Top 20

IMG_9283.jpeg

The Audio Revolution at the Edge​



In today’s interconnected world, clear and noise-free audio has become more crucial than ever. From wireless earbuds to smart home devices and enterprise communication systems, the demand for high-quality audio processing continues to grow. At BrainChip, we’re excited to introduce our groundbreaking Audio Denoising solution, powered by our innovative Temporal Event Neural Network (TENNs); a platform of use case specific algorithms coupled with our Akida™ event-based semiconductor IP that improve performance and power efficiency. TENNs represents a significant leap forward in audio processing, offering unparalleled efficiency and performance for edge computing applications.



The Challenge of Audio Denoising​



Audio denoising, the process of removing unwanted noise from audio signals, has long been a complex challenge in signal processing. Traditional methods often struggle to balance noise reduction while preserving the original signal’s quality. As well, today’s audio pre-processing approaches are computationally and energy inefficient.



Enter TENNs: A New Paradigm in Audio Processing​



BrainChip’s Audio Denoising solution leverages the power of TENNs, a revolutionary approach to neural network architecture that excels in processing sequential and continuous data streams. By combining the principles of state space models and generalized convolution kernels, TENNs offers a highly efficient alternative to traditional transformer models, making it ideal for edge computing audio applications.



Key Features and Benefits​



Scalable TENNs Models: Our medium-sized model achieves an impressive Perceptual Evaluation of
Speech Quality (PESQ) score of 3.36 with just 590,000 parameters. This demonstrates TENN’s ability to
deliver excellent noise reduction while maintaining audio quality. The TENN architecture allows for easy
scaling to smaller or larger models, adapting to specific customer needs without compromising
performance.

Unmatched Efficiency: TENN models require fewer parameters and multiply-accumulate operations
(MACs) per sample compared to equivalent CNN-based models. In fact, our Audio Denoising solution
uses 12 times fewer MACs and nearly 3 times fewer parameters than state-of-the-art networks, while
providing comparable performance. This translates to significantly lower power consumption and
reduced area requirements when designing System-on-Chip (SoC) solutions.

Hardware IP Integration: Our product includes Hardware IP, enabling companies to seamlessly
incorporate BrainChip AI acceleration into their SoC designs. This integration ensures optimal
performance and efficiency for audio denoising tasks, making it ideal for a wide range of edge devices.

Versatile Applications: From in-ear wireless devices to fixed audio equipment and VoIP systems, our
audio denoising solution caters to a broad spectrum of applications. It can be implemented as a
standalone feature or integrated into a pipeline feeding speech recognition or keyword spotting
systems, which BrainChip is also developing.

Customizable Solutions: With our TENNs license, customers can fine-tune models to their specific
requirements, ensuring the best possible performance for their unique audio environments and use
cases.



Real-World Applications and Performance​



Our Audio Denoising solution powered by TENNs has demonstrated impressive results across various
applications:

Enhanced Speech Clarity: Improve the quality of voice calls and audio recordings by removing
background noise and focusing on the speaker’s voice. This is particularly valuable for mobile
devices and hearing aids.

Improved VoIP Communication: Elevate the experience of video conferencing and online
meetings with clearer, noise-free audio, essential in today’s remote work environment.

Smart Home Devices: Enhance the accuracy of voice-controlled smart home systems by
providing cleaner audio input, improving user experience and device functionality.

Industrial Monitoring: Improve the quality of audio data in industrial settings, enabling more
accurate analysis and predictive maintenance.

Medical Devices: Vital sign estimation, allowing for more accurate and power efficient
monitoring of human health.

When compared to state-of-the-art networks for speech enhancement through denoising, our TENNs-
based solution achieved:

– Comparable PESQ scores (3.36 for the medium model)
– Approximately 12 times fewer MACs (Multiply-Accumulate operations)
– Nearly 3 times fewer parameters

These results highlight the exceptional efficiency of our TENNs Audio Denoising solution, making it ideal
for edge computing applications where power consumption and computational resources are limited.
Also note that the ability to execute on raw data eliminates the need for expensive pre-processing.



Implementation and Future Directions​



The implementation of our Audio Denoising offering within BrainChip’s hardware, specifically in the
Akida 2.0 IP showcases a significant advancement in hardware-accelerated AI for audio processing.
Akida 2.0’s architecture is designed to fully exploit TENN’s capabilities, featuring a mesh network of
nodes, each equipped with an event-based TENN processing unit.
Looking ahead, we plan to continue refining our Audio Denoising capabilities, focusing on:

Enhancing activation sparsity to further improve efficiency.

Exploring more of the polynomial space to increase model flexibility.

Developing integrated solutions that combine audio denoising with speech recognition and keyword spotting.



A New Era of Crystal-Clear Audio​



BrainChip’s TENNs-powered Audio Denoising solution marks a significant milestone in the evolution of audio processing technology. By addressing key challenges related to power consumption and computational efficiency, we’re paving the way for a new generation of edge devices capable of delivering crystal-clear audio in any environment. Our Audio Denoising product is just the beginning of what’s possible with TENNs technology, and we’re excited to see how our partners and customers will leverage this powerful algorithm platform to create the next generation of audio-enabled devices. To learn more about how BrainChip’s Audio Denoising solution can elevate your products, contact us for a demonstration or to discuss your specific audio processing needs.
 
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Tothemoon24

Top 20
July 18, 2024

Tata Technologies partners with Arm to drive innovation in software-defined vehicles (SDVs)​

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Press release​

• Tata Technologies has signed a Memorandum of Understanding (MoU) with Arm to develop automotive software and systems solutions for software-defined vehicles (SDVs).
• Tata Technologies will work with Arm to enable its software solutions on the Arm Automotive Enhanced (AE) portfolio, including Arm Compute Subsystems (CSS) for Automotive, to accelerate the development timelines of high-performance vehicle computing systems.
• Both companies will work together to develop a wide range of solutions across areas, such as software platforms leveraging SOAFEE reference architecture virtual platforms and demonstrating a chip-to-cloud software stack for SDVs.
Pune, Mumbai, Bengaluru, Chennai, Delhi, Kolkata, Kochi, India, 18th July 2024: Tata Technologies, a leading global engineering and product development digital services company, has announced a strategic partnership with Arm aimed at driving innovation in software-defined vehicles (SDVs). Combining Tata Technologies’ rich automotive domain expertise and software capabilities with high-performance, power-efficient Arm® Automotive Enhanced (AE) technologies, this partnership strives to reduce the development time of SDVs for automotive OEMs.
The automotive industry is transforming towards SDVs, driven by the growing demand for connected, autonomous, and electric vehicles. The evolution of SDVs demands sophisticated software seamlessly integrating with hardware to enhance functionality, safety, and user experiences. As part of this strategic partnership, Tata Technologies will develop a SOAFEE reference architecture stack using the Arm AE portfolio and Arm Compute Subsystems (CSS) for Automotive, along with enabling a cloud-native development framework integrating a variety of DevSecOps and virtual platform solutions to shift-left the development of SDVs, accelerating the time to market for automakers.
This partnership builds on the momentum from CES 2024 and Mobile World Congress 2024, where Tata Technologies and Arm jointly demonstrated a cloud-native reference software architecture for SDVs on Arm SoCs. These solutions were presented at Embedded World 2024 on the newly launched Arm Cortex®-A720AE in a virtualised environment, realising a shift-left strategy for safety-critical vehicle software running on heterogeneous computing systems.
Speaking on the partnership, Warren Harris, CEO & Managing Director of Tata Technologies, said, “We are excited about this collaboration with Arm, which underscores Tata Technologies’ commitment to engineering a better world by enabling the automotive industry to realise connected, autonomous and sustainable products that deliver great customer experience. As a strategic partner of Arm, we are developing innovative solutions leveraging their advanced Arm AE technology, and we expect this collaboration to deliver significant time-to-market benefits for the whole automotive industry. We are optimistic about the future of our partnership and the transformative impact it will have on shaping the future of mobility.”
Dipti Vachani, senior vice president and general manager, Automotive Line of Business, Arm, commented on the collaboration: “Vehicle electronics are becoming increasingly complex with the need for more AI and software to improve user experiences and advance autonomy. This partnership combines the high-performance, power-efficient and functional safety leadership of the Arm AE technology platform and the time-to-market advantages of our CSS for Automotive with the automotive software expertise from Tata Technologies to empower our mutual customers to accelerate the development of AI-enabled vehicles.”
The collaboration signals a promising future in developing and deploying cloud-native solutions for future next-gen vehicles. With 25 years of expertise in product engineering and digital services, along with a proven track record in delivering engineering solutions to the automotive industry, Tata Technologies is well-positioned to meet the needs of SDVs. Moreover, it will enable rapid prototyping, testing, and deployment of SDV technologies, unlocking new opportunities for developers and accelerating the time to market for leading OEMs.
 
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IloveLamp

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Shadow59

Regular
I'm calling Green Friday!
Hope I haven't jinxed it!
 
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Yoda

Regular
I'm calling Green Friday!
Hope I haven't jinxed it!
I don't think so, Nasdaq slumped 1% overnight, never a good sign for Australian tech stocks.
 
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MDhere

Top 20
I'm calling Green Friday!
Hope I haven't jinxed it!
my crystal ball says at least .26 though its been on the blink of late, time to shine it up and give it a whirl
 
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Esq.111

Fascinatingly Intuitive.
Good Morning Chippers ,


Rotation trade takes small caps from dead money to Wall Street darlings​

By Lewis Krauskopf
July 18, 20242:34 PM GMT+9:30Updated 18 hours ago



A Wall St. street sign is seen near the NYSE in New York

A Wall St. street sign is seen near the New York Stock Exchange in New York City, U.S., September 17, 2019. REUTERS/Brendan McDermid/File Photo Purchase Licensing Rights, opens new tab
NEW YORK, July 18 (Reuters) - U.S. small-cap stocks are having a long-awaited moment, ignited by expectations of interest rate cuts and improving prospects for the election of Republican presidential candidate Donald Trump, a proponent of policies seen as benefiting smaller domestic companies.
The small-company-focused Russell 2000 (.RUT), opens new tab surged more than 11.5% over five days, the index's biggest gain in such a stretch since April 2020.
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At the same time, tech and growth stocks have wobbled, reinforcing the view that small caps have benefited from a rotation out of this year’s biggest winners into unloved areas of the market. The tech-heavy Nasdaq 100 (.NDX), opens new tab is down 3% since last week, including its biggest one-day drop of the year on Wednesday. The S&P 500 (.SPX), opens new tab, generally considered the benchmark for large-cap U.S. stocks, is up 0.2%.
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"I think the narrative has changed," said Eric Kuby, chief investment officer at North Star Investment Management Corp, which specializes in small-cap stocks. "I'm hoping ... this jump over the last week is really just the beginning of what could be a very long, multi-year period of time where small caps could make up a lot of ground."
For months, shares of smaller companies have languished while investors poured money into the massive tech stocks that have led indexes for most of 2024. The Russell 2000 is up only 10.5% this year despite the recent surge, while the S&P 500 has gained 17% and the Nasdaq 100 is up nearly 18%.
three, five and even ten years.




Reuters Graphics

Reuters Graphics
The outlook shifted last week, when a softer-than-expected inflation reading boosted expectations the Federal Reserve will cut rates in coming months, a potential boon to smaller companies suffering from elevated borrowing costs.
Higher rates have been a "headwind to small caps," said Jason Swiatek, head of small- and mid-cap equity at Jennison Associates. "On the flip side, as you switch to a rate-cutting cycle, that alleviates a bit of that pressure."

The rally accelerated after a failed assassination attempt over the weekend appeared to increase expectations of a victory by Trump, whose proposals to raise tariffs and lower taxes could benefit smaller companies.
Among the small-cap stocks that have surged since the inflation data last week are biotech firm Caribou Biosciences (CRBU.O), opens new tab, up 55% in that time, homebuilder Hovnanian Enterprises (HOV.N), opens new tab, up over 30%, and insurer Hippo Holdings (HIPO.N), opens new tab, up over 29%.

An extended rotation out of tech - whose run has sparked concerns over stretched valuations and drawn comparisons to the dotcom bubble two decades ago - could fuel further small-cap strength.
The Russell 2000 last had a total market value of $2.7 trillion, according to LSEG data. That's smaller than the individual market values of three stocks, Microsoft (MSFT.O), opens new tab, Apple (AAPL.O), opens new tab and Nvidia (NVDA.O), opens new tab, with market caps each over $2.9 trillion.
As money flows "come out of the megacap stocks and they look for a new home, it doesn't take much to get the smaller stocks going," said Peter Tuz, president of Chase Investment Counsel.
History shows that a sharp rally by small caps bodes well for their near-term performance. The Russell 2000 gained at least 1% in five straight sessions over the past week, which has only happened four times before, according to Bespoke Investment Group. Following those prior streaks, the index posted an average gain of 5.9% over the next month, according to Bespoke.
While the S&P 500 has notched record highs all year, the Russell 2000 remains some 8% below its 2021 peak, suggesting small caps may have room to climb.
Retail investors are buying as well. Analysts at Vanda Research said inflows into small caps sparked a “short squeeze,” when a rising price forces bearish investors to unwind bets against a stock, driving it even higher.
“We think there’s scope for retail to continue chasing this trade over the next 1-2 weeks,” they wrote.
Small-cap investors have been disappointed by periods of strength before. Excitement over the prospect of rate cuts sent the Russell 2000 up over 20% between late October and late December of 2023, only for the index to retreat earlier this year when rate cuts did not materialize.
The earnings season now getting underway could provide more justification for small caps, with Russell 2000 companies expected to post an 18% rise in second-quarter earnings, according to LSEG. Megacap growth companies will also have a chance to reclaim the narrative, with heavyweights Tesla (TSLA.O), opens new tab and Alphabet (GOOGL.O), opens new tab reporting next week.
Brokerage firm Edward Jones has a "neutral" outlook on small-caps as it waits to see if companies can show stronger profit growth, said Angelo Kourkafas, senior investment strategist at the firm.
To be more optimistic on the group longer-term, he said, "We would need to see more signs that either earnings are coming in much better than expected or that economic activity is starting to pick up.”
Get a look at the day ahead in U.S. and global markets with the Morning Bid U.S. newsletter. Sign up here.
Reporting by Lewis Krauskopf; additional reporting by Suzanne McGee; Editing by Ira Iosebashvili and Leslie Adler
Our Standards: The Thomson Reuters Trust Principles., opens new tab

Regards ,
Esq.
 
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