BRN Discussion Ongoing
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Fullmoonfever
Top 20
Good recent little post by this gentleman with reference to BRN.
www.linkedin.com
Reston, Virginia, United States
Cliff Berg
+ Follow
What really is “digital transformation”?
It’s when you have automated everything that can be automated, so that everything is controlled by digital software.
In a digital environment, robots do all the moving of parts. Machines make product parts, controlled by digital designs. The designs are created by engineers using computers.
The entire process is orchestrated by digitally-defined programs. There are few human handoffs.
Information flows in and out of the organization digitally. Suppliers connect to a logistics system that is up to date on your needs, based on data that is automatically provided by your manufacturing systems.
There is little manual entry of data.
All that is the foundation for the next big shift.
The content that drives the factory. The content that drives your digital marketing.
The content that updates your cloud based offerings.
All your digital artifacts. The things that, today, are created by people.
People will still be in the loop, but they will be directing, not creating.
At least for now. When people are no longer in the loop, we can all go home. (Oh wait – we are already working from home!)
There has been a lot of conflicting reporting about the latest large language model AI systems. Can they be trusted? Are they ready for prime time?
What we need is a rigorous study to find out. And Microsoft has done that. They report that,
Recently Erik Brynjolfsson, a leading, technology-focused economist based at Stanford University, together with MIT economists Danielle Li and Lindsey R. Raymond, released an empirical study of the real-world economic effects of new AI systems. They looked at what happened to a company and its workers after it incorporated a version of ChatGPT into their workflows.
What happened is that the junior people became much more productive. For them, it was like having an experienced assistant next to them.
These AI systems are not computers. They are not digital programs. This is not just more sophisticated software. It was not the software industry that created AI.
Yes, today most AI runs as software, but that is a peculiarity. It is a workaround. It is temporary – an interim step. We use computers to run AI because computers are the tools we have, but doing that is massively inefficient. It is kind of like using horses to simulate a car.
Today’s AI consists of neural networks. A neural network is a connected system of “neurons”. These are idealized: they receive signals from adjacent neurons, and compute a function that determines if they will “fire” to signal other connected neurons.
They are not digital. We use computers to simulate them. But the actual neural networks that we are simulating are not digital. What we need is real neuronal devices that we can connect together to create real neural networks.
Guess what? We have that: they are called neuromorphic chips. IBM has been a pioneer in that, but there has been immense progress recently, creating chips that can adjust their basic architecture. That way, they can be repurposed for different kinds of neural networks.
In the not-too-distant future, neuromorphic systems will overtake digitally simulated neural networks. Why? Because they are much faster, and use thousands of times less power – and that’s important for self-driving cars, mobile devices, robots, and every kind of real world use of AI that is not situated in a data center.
The Akida Brain Chip – Part of the Next Generation of Neuromorphic Chips
There are even companies using real neurons – biological ones – to create neural networks. Cortical Labs is one. And an intriguing question is, if such a system tells you that it is sentient, can you confidently say no? After all, it is actually alive, just like we are.
Researcher at Cortical Labs, examining the electrode connections to real neurons in a living neural network
So the future is not about digital transformation. That was yesterday.
Digital is needed as a baseline for the AI to be able to do things, so that the AI can reach out and control things. But digital is now the assumption. It is too late to do a digital transformation. People are now doing AI transformation. If you are still stuck in a digital transformation, you are too late.
Digital Transformation Is So Yesterday
What really is “digital transformation”? It’s when you have automated everything that can be automated, so that everything is controlled by digital software. In a digital environment, robots do all the moving of parts.
Cliff Berg
Co-Founder and Managing Partner, Agile 2 Academy; Executive level Agile and DevOps advisor and consultant; Author of Agile 2: The Next Iteration of Agile
Agile 2 Academy
Reston, Virginia, United States
10K followers 500+ connections
Digital Transformation Is So Yesterday
Cliff Berg
Cliff Berg
Co-Founder and Managing Partner, Agile 2 Academy;…
Published May 11, 2023+ Follow
What really is “digital transformation”?
It’s when you have automated everything that can be automated, so that everything is controlled by digital software.
In a digital environment, robots do all the moving of parts. Machines make product parts, controlled by digital designs. The designs are created by engineers using computers.
The entire process is orchestrated by digitally-defined programs. There are few human handoffs.
Information flows in and out of the organization digitally. Suppliers connect to a logistics system that is up to date on your needs, based on data that is automatically provided by your manufacturing systems.
There is little manual entry of data.
All that is the foundation for the next big shift.
What Comes After Digital Transformation
The next big shift is in the creation of the digital content.The content that drives the factory. The content that drives your digital marketing.
The content that updates your cloud based offerings.
All your digital artifacts. The things that, today, are created by people.
People will still be in the loop, but they will be directing, not creating.
At least for now. When people are no longer in the loop, we can all go home. (Oh wait – we are already working from home!)
There has been a lot of conflicting reporting about the latest large language model AI systems. Can they be trusted? Are they ready for prime time?
What we need is a rigorous study to find out. And Microsoft has done that. They report that,
Recently Erik Brynjolfsson, a leading, technology-focused economist based at Stanford University, together with MIT economists Danielle Li and Lindsey R. Raymond, released an empirical study of the real-world economic effects of new AI systems. They looked at what happened to a company and its workers after it incorporated a version of ChatGPT into their workflows.
What happened is that the junior people became much more productive. For them, it was like having an experienced assistant next to them.
It’s Not Digital
This might seem like an inevitable extension of computing: first computers automated routine things, and now they are actually smart in some ways and can do some of the more creative things. But it’s not like that.These AI systems are not computers. They are not digital programs. This is not just more sophisticated software. It was not the software industry that created AI.
Yes, today most AI runs as software, but that is a peculiarity. It is a workaround. It is temporary – an interim step. We use computers to run AI because computers are the tools we have, but doing that is massively inefficient. It is kind of like using horses to simulate a car.
Today’s AI consists of neural networks. A neural network is a connected system of “neurons”. These are idealized: they receive signals from adjacent neurons, and compute a function that determines if they will “fire” to signal other connected neurons.
They are not digital. We use computers to simulate them. But the actual neural networks that we are simulating are not digital. What we need is real neuronal devices that we can connect together to create real neural networks.
Guess what? We have that: they are called neuromorphic chips. IBM has been a pioneer in that, but there has been immense progress recently, creating chips that can adjust their basic architecture. That way, they can be repurposed for different kinds of neural networks.
In the not-too-distant future, neuromorphic systems will overtake digitally simulated neural networks. Why? Because they are much faster, and use thousands of times less power – and that’s important for self-driving cars, mobile devices, robots, and every kind of real world use of AI that is not situated in a data center.
There are even companies using real neurons – biological ones – to create neural networks. Cortical Labs is one. And an intriguing question is, if such a system tells you that it is sentient, can you confidently say no? After all, it is actually alive, just like we are.
So the future is not about digital transformation. That was yesterday.
Digital is needed as a baseline for the AI to be able to do things, so that the AI can reach out and control things. But digital is now the assumption. It is too late to do a digital transformation. People are now doing AI transformation. If you are still stuck in a digital transformation, you are too late.
Tothemoon24
Top 20
VVDN going places fast
Shadow59
Regular
Hi, whereabouts for coffee? I hope I can make it in to the city by around then.
Tothemoon24
Top 20
Food4 thought
Regular
The paper "Special Session: Neuromorphic hardware design and reliability from traditional CMOS to emerging technologies" discusses the challenges and opportunities in neuromorphic hardware design. Neuromorphic hardware is inspired by the human brain and is designed to mimic the way that neurons process information. This type of hardware has the potential to be much more efficient and powerful than traditional CMOS-based hardware.
One of the main challenges in neuromorphic hardware design is reliability. Neuromorphic hardware is often made from emerging technologies, such as memristors, which are not as mature as CMOS. This can lead to reliability issues, such as device variability and noise.
Another challenge in neuromorphic hardware design is power consumption. Neuromorphic hardware is often much more power-hungry than traditional CMOS-based hardware. This is because neuromorphic hardware requires a large number of transistors to simulate the behavior of neurons.
Despite these challenges, neuromorphic hardware has the potential to revolutionize the way that we design and build computers. Neuromorphic hardware could be used to create new types of artificial intelligence (AI) that are more efficient and powerful than traditional AI. It could also be used to create new types of sensors and actuators that are more sensitive and responsive.
BrainChip is a company that is developing neuromorphic hardware. BrainChip's technology is based on a new type of memristor called a "Spiking Neural PRAM" (SNN-PRAM). SNN-PRAMs are designed to mimic the behavior of neurons and synapses in the human brain. BrainChip's technology has the potential to overcome some of the challenges in neuromorphic hardware design, such as reliability and power consumption.
It is still too early to say whether BrainChip will be able to lead the way in neuromorphic hardware. However, BrainChip's technology is promising and has the potential to revolutionize the way that we design and build computers.
Here are some additional details about the challenges and opportunities in neuromorphic hardware design:
- Challenges:
- Reliability: Neuromorphic hardware is often made from emerging technologies, such as memristors, which are not as mature as CMOS. This can lead to reliability issues, such as device variability and noise.
- Power consumption: Neuromorphic hardware is often much more power-hungry than traditional CMOS-based hardware. This is because neuromorphic hardware requires a large number of transistors to simulate the behavior of neurons.
- Opportunities:
- Efficiency: Neuromorphic hardware has the potential to be much more efficient and powerful than traditional CMOS-based hardware. This is because neuromorphic hardware can mimic the way that the human brain processes information, which is much more efficient than the way that traditional computers process information.
- Versatility: Neuromorphic hardware can be used to create new types of AI that are more efficient and powerful than traditional AI. It can also be used to create new types of sensors and actuators that are more sensitive and responsive.
Sirod69
bavarian girl ;-)
I just texted Tony about it, let's see what he writes. That would of course be great, then we could be there too!
buena suerte :-)
BOB Bank of Brainchip
Hey Sirod..... I posted this earlier hope that helps
Online Voting Procedures during the Meeting Shareholders who wish to participate in the Meeting online may do so:
a. From their computer, by entering the URL into their browser: https://web.lumiagm.com/364-701-410
b. From their mobile device by either entering the URL in their browser: https://web.lumiagm.com/364-701-410
Instructions on how to access and use the Lumi AGM technology are contained in Appendix C of this Notice.
If you choose to participate in the Meeting online, you can log in to the meeting by entering:
1. The meeting ID, which is – 364-701-410. 9
2. Your username, which is your Voting Access Code (VAC) which can be located on the first page of your proxy form or Notice of Meeting email; and
3. Your password, which is the postcode registered to your holding if you are an Australian Shareholder. Overseas Shareholders will need to enter the country of their registered address as it appears on a recent statement.
4. If you have been nominated as a third-party proxy, please contact Boardroom on 1300 737 760. Attending the meeting online enables Shareholders to view the Meeting live and to also ask questions and cast direct votes at the appropriate times whilst the Meeting is in progress.
ALT1350: Lowest Power 5G Cellular+ solution for Internet of Things | Sony Altair
The Sony Altair ALT1350 chipset is Lowest Power 5G Cellular+ solution for Internet of ThingsLowest Power LTE-M/NB-IoT, Highly Integrated SoC, designed for the 5G Massive Internet of Things Market
hubs.ly
Dhm
Regular
Mention of Loihi and True North. No mention of Akida.
cassip
Regular
Seems as if we have to get up very early or just stay up tonight, 3 am CET
Sirod69
bavarian girl ;-)
D
Deleted member 118
Guest
Way too much for me to read and digest
www.mdpi.com
Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda
The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...
www.mdpi.com
Tothemoon24
Top 20
https://ts2.space/en/brain-inspired-computing-for-railway-and-public-transportation/#
The potential benefits of brain-inspired computing for railway and public transportation are numerous. For example, it could be used to improve safety by monitoring the condition of tracks and vehicles, detecting anomalies, and alerting operators in real-time. It could also be used to improve efficiency by optimizing route planning and scheduling, and to enhance customer experience by providing personalized services.
Brain-Inspired Computing for Railway and Public Transportation
- by Marcin Frąckiewicz
- in Artificial intelligence, TS2 Space
- on 22 May 2023
How Brain-Inspired Computing is Revolutionizing Railway and Public Transportation
The railway and public transportation industries are being revolutionized by brain-inspired computing. This new technology, also known as neuromorphic computing, is based on the architecture of the human brain and has the potential to revolutionize the way railway and public transportation systems operate.Neuromorphic computing is a form of artificial intelligence (AI) that mimics the structure and function of the human brain. It uses a network of artificial neurons to process information and learn from it. This type of computing is highly efficient and can be used to solve complex problems quickly and accurately.
Neuromorphic computing is being used to improve the efficiency of railway and public transportation systems. It can be used to analyze large amounts of data to identify patterns and make predictions about the future. This can help to optimize the operation of railway and public transportation systems, making them more efficient and reliable.
Neuromorphic computing can also be used to improve safety. It can be used to detect potential hazards on the railway or in public transportation systems and alert operators to take corrective action. This can help to reduce the risk of accidents and improve the safety of passengers.
Neuromorphic computing is also being used to improve the customer experience. It can be used to analyze customer data and identify trends in customer behavior. This can help to improve the services offered by railway and public transportation systems, making them more attractive to customers.
Neuromorphic computing is revolutionizing the railway and public transportation industries. It is enabling more efficient and reliable operations, improving safety, and enhancing the customer experience. This technology is set to have a major impact on the future of these industries.
Exploring the Benefits of Brain-Inspired Computing for Railway and Public Transportation
The railway and public transportation industry is rapidly evolving to meet the needs of an increasingly connected world. As such, the industry is exploring the potential of brain-inspired computing to improve safety, efficiency, and customer experience.
Brain-inspired computing, also known as neuromorphic computing, is a type of artificial intelligence (AI) that mimics the human brain’s neural networks. It is capable of processing large amounts of data in real-time and making decisions quickly and accurately. This makes it ideal for applications in the railway and public transportation industry, where safety and efficiency are paramount.
The potential benefits of brain-inspired computing for railway and public transportation are numerous. For example, it could be used to improve safety by monitoring the condition of tracks and vehicles, detecting anomalies, and alerting operators in real-time. It could also be used to improve efficiency by optimizing route planning and scheduling, and to enhance customer experience by providing personalized services.
In addition, brain-inspired computing could be used to reduce energy consumption and emissions. By analyzing data from sensors, it could identify areas where energy consumption could be reduced, such as reducing speed in certain sections of the track or using alternative routes.
Brain-inspired computing could also be used to improve security. By analyzing data from surveillance cameras, it could detect suspicious activity and alert security personnel in real-time.
The railway and public transportation industry is already beginning to explore the potential of brain-inspired computing. Several companies have already developed AI-based solutions for the industry, and more are expected to follow suit.
As the industry continues to evolve, brain-inspired computing could become an essential tool for improving safety, efficiency, and customer experience. It could also help reduce energy consumption and emissions, as well as improve security. The potential benefits of brain-inspired computing for railway and public transportation are clear, and the industry is only beginning to explore its possibilities.
The Impact of Brain-Inspired Computing on Railway and Public Transportation Safety
The advent of brain-inspired computing is revolutionizing the safety of railway and public transportation systems. This new technology, which mimics the functioning of the human brain, is being used to develop sophisticated algorithms that can detect potential safety risks and provide real-time alerts to operators.Brain-inspired computing is helping to improve the safety of railway and public transportation systems in a number of ways. For example, it can be used to detect anomalies in train movements, such as sudden speed changes or unexpected stops. This information can then be used to alert operators to potential safety risks and enable them to take corrective action.
Brain-inspired computing can also be used to detect potential safety hazards in public transportation systems. For example, it can be used to identify objects or people on the tracks, as well as any obstacles that may be blocking the path of a train. This information can then be used to alert operators and help them take appropriate action to avoid any potential accidents.
In addition, brain-inspired computing can be used to monitor the condition of railway infrastructure, such as bridges and tunnels. This information can then be used to alert operators to any potential safety risks, such as structural damage or corrosion.
Overall, brain-inspired computing is having a significant impact on the safety of railway and public transportation systems. By providing real-time alerts to operators, it is helping to reduce the risk of accidents and ensure that passengers are kept safe.
How Brain-Inspired Computing is Enhancing the Efficiency of Railway and Public Transportation
The use of brain-inspired computing is revolutionizing the efficiency of railway and public transportation systems around the world. By leveraging the power of artificial intelligence (AI) and machine learning, these systems are able to optimize operations and provide better service to passengers.Brain-inspired computing is a form of AI that mimics the way the human brain works. It is based on the principles of neuroscience and uses algorithms to learn from data and make decisions. This type of computing has been used to develop systems that can predict traffic patterns, optimize routes, and improve safety.
Railway and public transportation systems are now leveraging brain-inspired computing to enhance their operations. For example, AI-powered systems can be used to monitor the condition of railway tracks and identify potential problems before they become serious. This helps to reduce delays and improve safety. AI can also be used to predict passenger demand and optimize routes to ensure that trains and buses are running on time.
In addition, AI-powered systems can be used to improve customer service. AI can be used to identify patterns in customer behavior and provide personalized recommendations. This can help to improve the overall experience for passengers.
Brain-inspired computing is also being used to improve the efficiency of railway and public transportation systems. AI-powered systems can be used to identify inefficiencies in operations and suggest improvements. This can help to reduce costs and improve the overall efficiency of the system.
The use of brain-inspired computing is revolutionizing the efficiency of railway and public transportation systems around the world. By leveraging the power of AI and machine learning, these systems are able to optimize operations and provide better service to passengers.
Examining the Challenges of Implementing Brain-Inspired Computing in Railway and Public Transportation
Recent advances in artificial intelligence (AI) and machine learning have enabled the development of brain-inspired computing, which has the potential to revolutionize the way railway and public transportation systems are managed. However, there are several challenges associated with implementing this technology in these industries.One of the biggest challenges is the complexity of the railway and public transportation systems. In order to effectively use brain-inspired computing, these systems must be able to accurately capture and analyze vast amounts of data from multiple sources. This data must then be used to make decisions in real-time, which can be difficult to achieve with traditional computing methods.
Another challenge is the cost associated with implementing brain-inspired computing. This technology requires significant investments in hardware and software, as well as specialized personnel to manage and maintain the system. Additionally, the technology is still in its early stages of development, so there is a risk that the system may not be able to meet the needs of the railway and public transportation industries.
Finally, there is the challenge of ensuring the security and privacy of the data collected by the system. As the system collects and stores large amounts of sensitive data, there is a risk that it could be accessed by unauthorized parties. This could lead to serious security and privacy issues, which must be addressed before the system can be successfully implemented.
Despite these challenges, brain-inspired computing has the potential to revolutionize the way railway and public transportation systems are managed. By enabling faster and more accurate decision-making, this technology could lead to improved safety, efficiency, and cost savings for these industries. As such, it is important for the industry to continue to invest in this technology and find ways to overcome the challenges associated with its implementation.
© 2023 TS2 Space Sp. z o.o.
Tel: +48 22 364 58 00, +48 22 630 70 70VAT PL7010612151
KRS 0000635058
REGON 365328479
EORI PL701061215100000
RPT 11918
NCAGE 99B8H
DUNS 422248638
Address: LIM Center XVI, Aleje Jerozolimskie 65/79, 00-697 Warsaw, Poland
TS2 SPACE provides telecommunications services by using the global satellite constellations. We offer you all possibilities of using satellites to send data and voice, as well as appropriate data encryption. Solutions provided by TS2 SPACE work where traditional communication is difficult or impossible.
Shop | ISP | AI
Last edited:
buena suerte :-)
BOB Bank of Brainchip
Have you not received your proxy voting form either by post or email Sirod?I have no Voting Access Code (VAC ) and no email of an invitation
hamilton66
Regular
S, I'm in Melbourne, and won't make it. The rally over the last couple of days is great, but I'm cynical. Hope the hard questions are still asked, and more importantly, answered. GLTA
DingoBorat
Slim
https://ts2.space/en/brain-inspired-computing-for-railway-and-public-transportation/#
Brain-Inspired Computing for Railway and Public Transportation
Brain-Inspired Computing for Railway and Public Transportation
0
- by Marcin Frąckiewicz
- in Artificial intelligence, TS2 Space
- on 22 May 2023
How Brain-Inspired Computing is Revolutionizing Railway and Public Transportation
The railway and public transportation industries are being revolutionized by brain-inspired computing. This new technology, also known as neuromorphic computing, is based on the architecture of the human brain and has the potential to revolutionize the way railway and public transportation systems operate.
Neuromorphic computing is a form of artificial intelligence (AI) that mimics the structure and function of the human brain. It uses a network of artificial neurons to process information and learn from it. This type of computing is highly efficient and can be used to solve complex problems quickly and accurately.
Neuromorphic computing is being used to improve the efficiency of railway and public transportation systems. It can be used to analyze large amounts of data to identify patterns and make predictions about the future. This can help to optimize the operation of railway and public transportation systems, making them more efficient and reliable.
Neuromorphic computing can also be used to improve safety. It can be used to detect potential hazards on the railway or in public transportation systems and alert operators to take corrective action. This can help to reduce the risk of accidents and improve the safety of passengers.
Neuromorphic computing is also being used to improve the customer experience. It can be used to analyze customer data and identify trends in customer behavior. This can help to improve the services offered by railway and public transportation systems, making them more attractive to customers.
Neuromorphic computing is revolutionizing the railway and public transportation industries. It is enabling more efficient and reliable operations, improving safety, and enhancing the customer experience. This technology is set to have a major impact on the future of these industries.
Exploring the Benefits of Brain-Inspired Computing for Railway and Public Transportation
The railway and public transportation industry is rapidly evolving to meet the needs of an increasingly connected world. As such, the industry is exploring the potential of brain-inspired computing to improve safety, efficiency, and customer experience.
Brain-inspired computing, also known as neuromorphic computing, is a type of artificial intelligence (AI) that mimics the human brain’s neural networks. It is capable of processing large amounts of data in real-time and making decisions quickly and accurately. This makes it ideal for applications in the railway and public transportation industry, where safety and efficiency are paramount.
The potential benefits of brain-inspired computing for railway and public transportation are numerous. For example, it could be used to improve safety by monitoring the condition of tracks and vehicles, detecting anomalies, and alerting operators in real-time. It could also be used to improve efficiency by optimizing route planning and scheduling, and to enhance customer experience by providing personalized services.
In addition, brain-inspired computing could be used to reduce energy consumption and emissions. By analyzing data from sensors, it could identify areas where energy consumption could be reduced, such as reducing speed in certain sections of the track or using alternative routes.
Brain-inspired computing could also be used to improve security. By analyzing data from surveillance cameras, it could detect suspicious activity and alert security personnel in real-time.
The railway and public transportation industry is already beginning to explore the potential of brain-inspired computing. Several companies have already developed AI-based solutions for the industry, and more are expected to follow suit.
As the industry continues to evolve, brain-inspired computing could become an essential tool for improving safety, efficiency, and customer experience. It could also help reduce energy consumption and emissions, as well as improve security. The potential benefits of brain-inspired computing for railway and public transportation are clear, and the industry is only beginning to explore its possibilities.
The Impact of Brain-Inspired Computing on Railway and Public Transportation Safety
The advent of brain-inspired computing is revolutionizing the safety of railway and public transportation systems. This new technology, which mimics the functioning of the human brain, is being used to develop sophisticated algorithms that can detect potential safety risks and provide real-time alerts to operators.
Brain-inspired computing is helping to improve the safety of railway and public transportation systems in a number of ways. For example, it can be used to detect anomalies in train movements, such as sudden speed changes or unexpected stops. This information can then be used to alert operators to potential safety risks and enable them to take corrective action.
Brain-inspired computing can also be used to detect potential safety hazards in public transportation systems. For example, it can be used to identify objects or people on the tracks, as well as any obstacles that may be blocking the path of a train. This information can then be used to alert operators and help them take appropriate action to avoid any potential accidents.
In addition, brain-inspired computing can be used to monitor the condition of railway infrastructure, such as bridges and tunnels. This information can then be used to alert operators to any potential safety risks, such as structural damage or corrosion.
Overall, brain-inspired computing is having a significant impact on the safety of railway and public transportation systems. By providing real-time alerts to operators, it is helping to reduce the risk of accidents and ensure that passengers are kept safe.
How Brain-Inspired Computing is Enhancing the Efficiency of Railway and Public Transportation
The use of brain-inspired computing is revolutionizing the efficiency of railway and public transportation systems around the world. By leveraging the power of artificial intelligence (AI) and machine learning, these systems are able to optimize operations and provide better service to passengers.
Brain-inspired computing is a form of AI that mimics the way the human brain works. It is based on the principles of neuroscience and uses algorithms to learn from data and make decisions. This type of computing has been used to develop systems that can predict traffic patterns, optimize routes, and improve safety.
Railway and public transportation systems are now leveraging brain-inspired computing to enhance their operations. For example, AI-powered systems can be used to monitor the condition of railway tracks and identify potential problems before they become serious. This helps to reduce delays and improve safety. AI can also be used to predict passenger demand and optimize routes to ensure that trains and buses are running on time.
In addition, AI-powered systems can be used to improve customer service. AI can be used to identify patterns in customer behavior and provide personalized recommendations. This can help to improve the overall experience for passengers.
Brain-inspired computing is also being used to improve the efficiency of railway and public transportation systems. AI-powered systems can be used to identify inefficiencies in operations and suggest improvements. This can help to reduce costs and improve the overall efficiency of the system.
The use of brain-inspired computing is revolutionizing the efficiency of railway and public transportation systems around the world. By leveraging the power of AI and machine learning, these systems are able to optimize operations and provide better service to passengers.
Examining the Challenges of Implementing Brain-Inspired Computing in Railway and Public Transportation
Recent advances in artificial intelligence (AI) and machine learning have enabled the development of brain-inspired computing, which has the potential to revolutionize the way railway and public transportation systems are managed. However, there are several challenges associated with implementing this technology in these industries.
One of the biggest challenges is the complexity of the railway and public transportation systems. In order to effectively use brain-inspired computing, these systems must be able to accurately capture and analyze vast amounts of data from multiple sources. This data must then be used to make decisions in real-time, which can be difficult to achieve with traditional computing methods.
Another challenge is the cost associated with implementing brain-inspired computing. This technology requires significant investments in hardware and software, as well as specialized personnel to manage and maintain the system. Additionally, the technology is still in its early stages of development, so there is a risk that the system may not be able to meet the needs of the railway and public transportation industries.
Finally, there is the challenge of ensuring the security and privacy of the data collected by the system. As the system collects and stores large amounts of sensitive data, there is a risk that it could be accessed by unauthorized parties. This could lead to serious security and privacy issues, which must be addressed before the system can be successfully implemented.
Despite these challenges, brain-inspired computing has the potential to revolutionize the way railway and public transportation systems are managed. By enabling faster and more accurate decision-making, this technology could lead to improved safety, efficiency, and cost savings for these industries. As such, it is important for the industry to continue to invest in this technology and find ways to overcome the challenges associated with its implementation.
© 2023 TS2 Space Sp. z o.o.
Tel: +48 22 364 58 00, +48 22 630 70 70
VAT PL7010612151
KRS 0000635058
REGON 365328479
EORI PL701061215100000
RPT 11918
NCAGE 99B8H
DUNS 422248638
Address: LIM Center XVI, Aleje Jerozolimskie 65/79, 00-697 Warsaw, Poland
TS2 SPACE provides telecommunications services by using the global satellite constellations. We offer you all possibilities of using satellites to send data and voice, as well as appropriate data encryption. Solutions provided by TS2 SPACE work where traditional communication is difficult or impossible.
Shop | ISP | AI
Hmmm
.. Speaking about lipstick...
Last edited:
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