BRN Discussion Ongoing

[7für7]

We already have product differentiation on performance with Akida 2 having premium performance with ViT and TeNNs, and long skip.

Akida 1 has extremely flexible applications but the added functionality of long hop/skip/jump, TeNNs and ViT would justify a substantial price differential.

Akida 1500 would be cheaper than Akida 1 on equivalent production runs as it does not require the ARM Cortex M4 licence, and will fit more per wafer.

In addition, there is the radhard version.

The adaptability of Akida means we are set up to meet a broad spectrum of the market.

It is true that competition may harvest the low hanging fruit, but SynSense for instance needs different chips for audio and video, increasing production costs in the long run.

Yeah let’s see! There is a lot going on out there

 

[charles2]

Does this mean anything?

Nasdaq buyers may have finally discovered BCHPY (40 BRN.AX = 1 BCHPY)

Today with one hour left 22,288 BCHPY shares (ADRs) have traded ...up 2.7%.

Typical volume is around 750.

Let's see if this is the start of a trend.

 

[Dallas]

x.com

x.com

 

[Dallas]

@Microchip hat vor Kurzem seine weltraumtaugliche MPU-Familie vorgestellt, die @SiFive RISC-V 64-Bit-CPU-Kerne für die NASA und die Verteidigungs- und kommerzielle Luft- und Raumfahrtindustrie im Allgemeinen integriert. Lesen Sie mehr: hubs.la/Q02GTCNB0 #RISCVeverywhere

 

[Pom down under]

Every little counts

 

[Space Cadet]

@Microchip hat vor Kurzem seine weltraumtaugliche MPU-Familie vorgestellt, die @SiFive RISC-V 64-Bit-CPU-Kerne für die NASA und die Verteidigungs- und kommerzielle Luft- und Raumfahrtindustrie im Allgemeinen integriert. Lesen Sie mehr: hubs.la/Q02GTCNB0 #RISCVeverywhere

You may mean this.

https://www.microchip.com/en-us/abo...industrys-highest-performance-64-bit-hpsc-mpu.

From May so may have been posted before.

SC

 

[Space Cadet]

You may mean this.

https://www.microchip.com/en-us/abo...industrys-highest-performance-64-bit-hpsc-mpu.

From May so may have been posted before.

SC

We already know we are mixed up in this.
Well think so anyway. Thanks Dallas for the reminder.

BRN News: BrainChip to Unveil Akida Neuromorphic Processor Enabled by Microchipâs 32-bit MPU at CES 2024 - 4th Jan 2024, 4:00am​

SC

 

[7für7]

Edge impulse event

Imagine 2024 - The conference for edge AI

Join us for the premier edge AI event for the real world, with presentations and demonstrations from top technology leaders and innovators.

edgeimpulse.com

 

[Dijon101]

Actually you are right.. forgot about that… I just thought like an investor who would like to see a turnaround asap my fault

As we all are.
It's been a long road, my avg buy price is 0.486, I'm annoyed I didn't sell at +$2 and now I'm out of any powder to buy more at these prices.

If we ignore the share price, focus on the research all we need to do is have a bit more patience..

Pretty cool, we have chips in space!

 

[Dijon101]

As you say, management, while deeply interested in the share price, are not interested in manipulating the SP. Their focus is on growing the business and achieving meaningful sales. Any whiff of snake oil would be disastrous.

Exactly.

We haven't seen another Mercedes like announcement for a reason.

It's a feeling I have that the company is quietly confident in the direction they are taking.
As an investor (although the wait is killing me) I'm still super excited.

I took both Peter and Anil's retirement as super positive news. Why walk away from your life's work if you were not confident that it could stand on its own two feet and it was ready to fly ???

 

[Bravo]

The good news is that the neuromorphic chip market is expected to reach USD 44.22 Billion by 2031.

The bad news is that this particular report doesn't mention us as a key player.

Neuromorphic Computing Chip Market Size, Share and Forecast By Key Players-IBM, Intel, Samsung Electronics, Qualcomm, Gyrfalcon​

07-17-2024 06:33 PM CET | Advertising, Media Consulting, Marketing Research

Press release from: Market Research Intellect​

Neuromorphic Computing Chip Market

𝐔𝐒𝐀, 𝐍𝐞𝐰 𝐉𝐞𝐫𝐬𝐞𝐲- According to the MRI Team's Market Research Intellect, the global Neuromorphic Computing Chip market is anticipated to grow at a compound annual growth rate (CAGR) of 16.89% between 2024 and 2031. The market is expected to grow to USD 14.84 Billion by 2024. The valuation is expected to reach USD 44.22 Billion by 2031.

The Neuromorphic Computing Chip market is poised for substantial growth, fueled by the increasing demand for advanced computing technologies that mimic human brain functions. This technology's potential in enhancing artificial intelligence (AI) applications and improving machine learning (ML) efficiency drives its adoption across various sectors, including healthcare, automotive, and consumer electronics. The market's expansion is further supported by ongoing research and development efforts and significant investments from key industry players aiming to capitalize on the advantages of neuromorphic computing in developing smarter, more efficient systems.

Several factors drive the Neuromorphic Computing Chip market's growth. The surging demand for AI and ML technologies that require advanced processing capabilities is a primary driver. These chips' ability to perform complex tasks with low power consumption makes them ideal for various applications, from autonomous vehicles to medical diagnostics. Additionally, increased investments in research and development by tech giants and startups alike are propelling innovation in this field. The growing need for real-time data processing and the development of smart devices further amplify the demand for neuromorphic computing chips, positioning them as a critical component in the future of computing technology.

𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐏𝐃𝐅 𝐒𝐚𝐦𝐩𝐥𝐞 𝐂𝐨𝐩𝐲 𝐨𝐟 𝐑𝐞𝐩𝐨𝐫𝐭: (𝐈𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐅𝐮𝐥𝐥 𝐓𝐎𝐂, 𝐋𝐢𝐬𝐭 𝐨𝐟 𝐓𝐚𝐛𝐥𝐞𝐬 & 𝐅𝐢𝐠𝐮𝐫𝐞𝐬, 𝐂𝐡𝐚𝐫𝐭) @ https://www.marketresearchintellect...?rid=1065552&utm_source=OpenPr&utm_medium=026

𝐊𝐞𝐲 𝐃𝐫𝐢𝐯𝐞𝐫𝐬:

𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐢𝐧𝐠 𝐔𝐫𝐛𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧:The rising urban population is propelling the demand for Neuromorphic Computing Chip, especially in urban centers with a heightened need for specific aspects provided by Neuromorphic Computing Chip, driving the market growth.

𝐃𝐞𝐦𝐚𝐧𝐝 𝐟𝐨𝐫 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: Growing environmental concerns and stringent regulations are fostering a shift towards sustainable alternatives, boosting the demand for eco-friendly Neuromorphic Computing Chip products and services.

𝐌𝐞𝐫𝐠𝐞𝐫𝐬 𝐚𝐧𝐝 𝐀𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧𝐬

𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐂𝐨𝐧𝐬𝐨𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧: The Neuromorphic Computing Chip market is witnessing a wave of mergers and acquisitions as companies seek to consolidate their market positions, expand their product portfolios, and leverage synergies to drive growth and competitiveness.

𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐨 𝐍𝐞𝐰 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Acquisitions provide companies with access to new technologies, intellectual property, and talent, enabling them to innovate faster and stay ahead of market trends.

𝐆𝐞𝐭 𝐚 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐎𝐧 𝐓𝐡𝐞 𝐏𝐮𝐫𝐜𝐡𝐚𝐬𝐞 𝐎𝐟 𝐓𝐡𝐢𝐬 𝐑𝐞𝐩𝐨𝐫𝐭 @ https://www.marketresearchintellect...?rid=1065552&utm_source=OpenPr&utm_medium=026

𝐓𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐊𝐞𝐲 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐬 𝐀𝐫𝐞 𝐂𝐨𝐯𝐞𝐫𝐞𝐝 𝐢𝐧 𝐎𝐮𝐫 𝐑𝐞𝐩𝐨𝐫𝐭
𝐁𝐲 𝐓𝐲𝐩𝐞
12nm
28nm
Others

𝐁𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧
Artificial Intelligence
Medical Equipment
Robot
Communications Industry
Other

𝐌𝐚𝐣𝐨𝐫 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 in Neuromorphic Computing Chip Market are:
IBM,Intel,Samsung Electronics,Qualcomm,Gyrfalcon,Eta Compute,Westwell,Lynxi,DeepcreatIC,SynSense

Neuromorphic Computing Chip Market Size, Share and Forecast By Key Players-IBM, Intel, Samsung Electronics, Qualcomm, Gyrfalcon

According to the MRI Team s Market Research Intellect the global Neuromorphic Computing Chip market is anticipated to grow at a compound annual growth rate CAGR of 16 89 between 2024 and 2031 The market is expected to grow to ...

www.openpr.com

 

[Esq.111]

We have great content - Shutterstock

Shutterstock has great content, sign in or sign up today!

www.shutterstock.com

Esq.

 

[Bravo]

It's OK though because this report does list us as a key player.

Neuromorphic Computing Market Analysis and Revenue Prediction | Intel, IBM, BrainChip Holdings​

Henry Clark0 Comments17 July 2024

Press Release, Orbis Research The Neuromorphic Computing market analysis offers companies a competitive advantage by providing realistic projections for this industry on both local and global levels. It involves a thorough assessment of the main business sectors, with a focus on present and future growth opportunities, as well as various factors affecting earning potential. This in-depth examination takes into account market trends, economic factors, and technological advancements, providing insights into the industry’s growth direction. Additionally, the study addresses well-known firms, as well as up-and-coming competitors and new entrants, giving a complete overview of the competitive environment. By comparing the capabilities and tactics of established market leaders with those of emerging businesses, the report offers a detailed analysis of market rivalry and potential game-changers.
Request a sample report @ https://www.orbisresearch.com/contacts/request-sample/7304445
The examination also discusses the difficulties presented by the Covid-19 pandemic, emphasizing how the global health crisis has changed market trends and customer habits. It assesses the short-term and enduring impacts of the pandemic on the Neuromorphic Computing industry, providing tactical advice for managing these shifts. Furthermore, the study identifies possible pathways for rebound and expansion in the future, empowering companies to adjust and flourish in a world after the pandemic.
The market for Neuromorphic Computing is divided into different regions including North America, Europe, Asia-Pacific, South America, the Middle East and Africa, and Southeast Asia. In the report, there is a comprehensive analysis of how each region is performing in the market, with growth projections for the coming years. The sales and profits of each region are outlined, giving a good understanding of the dynamics of the regional market. This part of the report talks about the strategies and advancements happening in each region, focusing on the specific factors driving and hindering the market in that particular area. By recognizing the differences in each region, companies can adjust their strategies to take advantage of local opportunities and manage any potential risks effectively.
Neuromorphic Computing market Segmentation by Type:
Hardware, Software
Neuromorphic Computing market Segmentation by Application:
IT and Communication, Aerospace Defense, Medical, Automotive, Industrial, Others
Direct Purchase the report @ https://www.orbisresearch.com/contact/purchase-single-user/7304445
This study delves into the primary patterns, SWOT analysis, and financial assessment of the leading international competitors in addition to the Neuromorphic Computing. The examination of the Neuromorphic Computing offers a comprehensive view of the Neuromorphic Computing market and aids companies in enhancing revenue by offering a deeper understanding of their main rivals’ growth tactics and competitive environment. The study breaks down the market into key segments and provides demand projections. Throughout the forecast period, this report investigates PESTEL analysis and overall market trends. The Neuromorphic Computing report delivers vital insights and trustworthy data on critical industry trends to help market providers in formulating innovative sales approaches
Key Players in the Neuromorphic Computing market:
Intel
IBM
BrainChip Holdings
Qualcomm
Eta Compute
General Vision
Samsung Electronics
Hewlett Packard Labs
Applied Brain Research
GrAI Matter Labs

Neuromorphic Computing Market Analysis and Revenue Prediction | Intel, IBM, BrainChip Holdings – Economica

economica.ma

 

[GDJR69]

20c party anyone?

 

[Bravo]

Wonder if this is going to help us in some way? Bearing in mind, Infineon is partnered with Reality AI and Renesas acquired Reality AI in 2020.

Reality AI Explorer provides sandbox for AI/ML development​

July 17, 2024 Nitin Dahad
New Reality AI Explorer Tier provides users with free access to a comprehensive, self-guided evaluation sandbox.



Renesas Electronics Corporation has introduced Reality AI Explorer Tier, a free version of the its Reality AI Tools software for developing AI and TinyML solutions in industrial, automotive and commercial applications.


Reality AI Explorer Tier is designed to simplify the customer experience for evaluating the development environment for embedded real-time analytics. Users can explore a variety of pre-built AI applications, offering a practical way to experience the capabilities of Reality AI Tools without the need for extensive setup or support. Examples allow the user to leverage Renesas Kits such as AI Kits with sample datasets that span use cases across accelerometry/vibration analysis, audio classification, and motor control.
The new Reality AI Explorer Tier provides users with free access to a comprehensive, self-guided evaluation sandbox. Qualified customers can now access the complete range of features in Reality AI tools, including automated AI model construction, validation and deployment modules. It includes a library of tutorials, application examples, and FAQs, access to the community forum and email support. The company said users can quickly get started with a simplified click-through end user agreement within.

The vice president and head of business development and ecosystem for Renesas, Mohammed Dogar, said, “As AIoT becomes increasingly important, many customers are showing keen interest and developing expertise in building AI applications at the edge and endpoint. Reality AI Explorer offers the opportunity to experience the full potential of a market-leading AI development environment without any up-front cost. We are confident that many customers will use this platform as a first step to creating production AIoT implementations.”
The head of Brose Silicon Valley, Kilian von Neumann-Cosel, added, “We have used Reality AI Tools extensively to deploy extremely cost-efficient AI solutions for automated quality assurance applications. We envision enabling a variety of embedded sensing applications through this powerful AI/ML development.”

Reality AI Tools is now tightly integrated with Renesas compute products and supports all Renesas MCUs and MPUs natively with a built-in parts picker engine. Support for automatic context switching between Reality AI Tools and e2 Studio, Renesas’ flagship embedded development environment, is also in place.

https://www.embedded.com/reality-ai-explorer-provides-sandbox-for-ai-ml-development/

 

[Bravo]

Renesas Power Group Addresses Urgent Energy Needs of AI Infrastructure​

画像

Chris Allexandre
Senior Vice President and General Manager, Power Products Group



掲載: 2024年7月17日
Establishing the new Power Products Group (PWR) as one of the four main Product Group pillars within Renesas is exciting and energizing for many reasons, and beneficial both internally to the company and externally to customers.
While we are well known for our embedded portfolio, to achieve our long-term revenue goals, growth from the Power group is imperative to our diversification and future success. The formation of the power electronics business has been a long time in the making and draws heavily from decades of in-house R&D and organic growth as well as the acquisitions of companies with an impressive power technology heritage, including Intersil, IDT, and Dialog Semiconductor. Combining the R&D talent, IP, and products from these companies makes the Power Products Group both diverse in its background and rich in its opportunities to create scale.
Additionally, just last month, we completed the acquisition of Transphorm, an expert in gallium nitride (GaN) transistors that will help us expand our wide bandgap portfolio and tap into what is projected by 2030 to be a $13 billion opportunity. That builds on a formidable technology foundation that now includes custom silicon, application-specific power-management integrated circuits (PMICs) both for customer and Renesas SOC/MCU and other digital platforms, compute power for both client and infrastructure, battery-management systems, discrete power devices and wide bandgap, IPD, eFuse and other automotive applications as well as growing catalog portfolio of DC/DC controllers, drivers, switchers, and many other components.
To achieve Renesas' 2030 goal to generate $20 billion in revenue, the Power Products Group intends to more than double sales to $7 billion. We will accomplish this by more deeply integrating our engineering talent to create more positive synergies and scale, focus on a few, fast growing vertical and megatrends such as AI infrastructure and client, automotive EV, and energy efficiency, as well as building a comprehensive “power tree” that expands our catalog portfolio to ensure we leverage Renesas' footprint in all products.
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AI Infrastructure Leads the Way​

How will we achieve this ambitious goal?
Through a focus on three high-growth market segments: AI with infrastructure, cloud computing, and AI at the edge (client); electric and conventional automotive platforms; and industrial systems and energy efficiency.
We are penetrating each sector using a two-pronged approach. The first is a vertical alignment that features tailored customer solutions, dedicated engineering teams, a power electronics center of excellence, as well as a growing series of Winning Combinations that bundle the best in Renesas power, analog, embedded processing, and connectivity solutions. The second is by adopting a full bill-of-materials focus that leverages our embedded processing leadership to attach to best-in-class MCUs, MPUs, and SoCs.
Demand for AI-enhanced data centers, edge-compute, and client devices alone will see the volume of AI SoCs increase from 2.5 million units in 2023 to 15 million in 2030 – a 20-plus-percent CAGR. At the same time, the number of power sockets per AI SoC will grow by up to five times today's levels, while the power content in each SoC will increase to at least $75 and in many cases more than $200, according to current customer forecasts.

Renesas continues to lead in digital controllers for computing applications, with multiple IC generations at the forefront of innovation and performance. With the rise of AI and its increasing power demands, Renesas is prepared to continue investing in this segment and delivering on the digital multi-phase controller and smart power stages attached to it. Additionally, we see opportunities to expand our total solution by attaching more power discrete devices and differentiate our solutions through superior support, custom tools, software, and modeling.
With more than 30 customer designs already in progress, we also expect to provide Renesas power solutions to at least 60 percent of all AI-enabled PCs by 2026. And we see that trend continuing across many other GPUs and SoCs, creating a much bigger opportunity for us. When you put all of that together – higher power content, higher ASPs, and continuous growth – we expect an exponential acceleration in the AI compute power-attach rate, which will change the dynamics of the business.

Growth Driven by Scale, Diversity and Consistency​

The Renesas Power Products Group's 2024 priority is to scale our business by leveraging our IP leadership, engineering talent, culture, and manufacturing capabilities. This will allow us to diversify our business and customer engagement and deliver more value-added products and solutions, while consistently driving predictable execution to deliver superior customer solutions without compromising quality, for which Renesas is historically known.
In addition to automotive xEVs and industrial manufacturing equipment, we're excited about the opportunity to take our discrete business into AI infrastructure, where we have a significant expansion roadmap thanks to our close relationship with – and access to – our customers.
In the end, it's not just about expanding our markets, it's about leveraging and building on our foundation of trust and quality, becoming the preferred power choice for customers, and delivering proven, efficient, greener power solutions while reducing time to market by combining more of our products together and making the lives of our customers easier.

AIインフラの電力問題に貢献するパワーグループ

パワー事業の成長戦略を執行役員のクリス・アレクサンドルが語ります。

www.renesas.com

 

[HopalongPetrovski]

20c party anyone?

 

[mrgds]

Exactly.

We haven't seen another Mercedes like announcement for a reason.

It's a feeling I have that the company is quietly confident in the direction they are taking.
As an investor (although the wait is killing me) I'm still super excited.

I took both Peter and Anil's retirement as super positive news. Why walk away from your life's work if you were not confident that it could stand on its own two feet and it was ready to fly ???

I had the excact same thoughts when hearing of Anil"s retirement hot on the heels of Peters @Dijon101

"Tip of the iceberg (where have we heard that before) in broader tidal wave of Tech M&A "




A Israeli start-up in 2021 "WIZ" which deals in cyber-security in the cloud , reportedly in M&A talks with Alphabet for $23Billion

Right place, Right time, "Bring on the bidding war"

ABIDA BIDLISTA

 

[Bravo]

Hi 7fur7,

Maybe you're suffering from the occupational hazard on this thread - information overload.

Accenture said this about Akida last week:

https://brainchip.com/neuromorphic-computing-making-space-smart/

Neuromorphic Computing: Making Space Smart​

Published Mar 19, 2024
Eric Gallo, Sr. Principal, Future Technologies R&D, Accenture Labs
...
Neuromorphic computing emulates neurons and synapses in the brain to process information, offering low power, low latency, and data sparsity benefits for edge computation. Accenture Labs demonstrated a 3-5x reduction in system power using BrainChip’s Akida neuromorphic accelerator for audio recognition tasks compared to CPU and GPU. Other companies—including BrainChip, Intel, and Synsense—have developed digital neuromorphic silicon chips, with BrainChip, and Synsense offering commercial processors. These chips are still in v1 and v2, with increasing performance expected as they mature. Startups like EDGX and Neurobus are exploring neuromorphic computing hardware and software designs for space. Intel’s Loihi processor has already been validated in space, and neuromorphic cameras are operating on the ISS as part of the Falco Neuro Project. BrainChip’s Akida recently launched on SpaceX Falcon 9. These efforts are laying the groundwork for widespread implementation of neuromorphic technologies in space applications.

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 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.



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
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

Φsat-2

New satellite to show how AI advances Earth observation

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...

www.esa.int

 

[Space Cadet]

https://www.esa.int/gsp/ACT/projects/continual-online-learning/

Off the ESA site. Is 18 months old but we are now close to fulfilling this promise IMO.

SC