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supersonic001
Regular
Peter Van Der Made takes a look at the current state of AI and what lies ahead, including the growth of neuromorphic processing. | BrainChip
Peter Van Der Made takes a look at the current state of AI and what lies ahead, including the growth of neuromorphic processing. Read more here: https://lnkd.in/gjyfgh7b Forbes #AI #artificialintelligence #neuromorphic
equanimous
Norse clairvoyant shapeshifter goddess
Welll how about this clog of traffic for Popeye's chicken
Dashcam Footage Shows Driverless Cars Clogging San Francisco
Videos obtained by WIRED from public transit vehicles reveal self-driving cars causing delays and potential danger to buses, trains, and passengers.www.wired.com
equanimous
Norse clairvoyant shapeshifter goddess
Dhm
Regular
Yes. And I might be wrong. If nothing else the mere fact that leading companies would be experiencing Akida and may appreciate it's advantage over most of the market. It won't be for everyone but there is plenty of ubiquitousness available for the rest of the Edge market.
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FrederikSchack
Regular
I think it's fair to predict that AI is going to be the biggest challenge that humanity ever faced and we still don't have much of a clue about what the challenge will be. It may have good outcomes and bad outcomes, probably in equal amount, like any other technology.
I would like to hear your perspectives on this?
Personally I see a feedback loop appearing in both AI software (CoPilot) and chip design (Synopsys), that almost inevitably will lead to an increasing acceleration of AI.
I would like to hear your perspectives on this?
Personally I see a feedback loop appearing in both AI software (CoPilot) and chip design (Synopsys), that almost inevitably will lead to an increasing acceleration of AI.
Newk R
Regular
Roy Batty says hi!
Pris is still as lovely as ever and thank god Leon is dead!!!!
FrederikSchack
Regular
Well, that's one scenarioRoy Batty says hi!
Pris is still as lovely as ever and thank god Leon is dead!!!!
D
Deleted member 118
Guest
Tech Life - How to make sure the whole world benefits from AI - BBC Sounds
Are some countries and languages being cut out of the AI revolution?
www.bbc.co.uk
Good afternoon all,
Well, yet another Toyota Moment !
14 named partners/collaborators, then 15 now 16, we are well on the way to doubling this position, more and more are feeling really
comfortable now being named alongside us, how the wheel has changed from say 3 years ago.
Great to see Peter have an article in Forbes, both Peter and Anil are humble, gentle-men, who will, I'm sure, have their day in the sun
being recognized as visionaries, hopefully along the same path that was laid down for Bill Gates and Steve Jobs etc.
"BRE, a Black Signal Technologies company, will integrate BrainChip Akida™ processors in a variety of high-performance applications."
The above comment is a very definitive statement indeed !
"Akida’s ability to perform data processing, including AI/ML tasks at the edge, and its power-conserving neuromorphic design makes its utility in military and intelligence settings a potential breakthrough."
"when data must be processed in real-time on a remote device, the challenge for hardware developers is immense,” said Stefan Moritz, BRE. “BrainChip’s Akida will be useful for tactical devices that ingest sensor data and use AI/ML to improve decision-making.”
Underwater/Deepwater operations, go Akida, your brilliance could well save the West, if things happen to go pear-shaped over the coming years, intelligence on-device, in extremely remote locations, using 1000th's of a watt down to as low as 1,000,000th's of a watt will really prove to be a real-world game changer in the military sense.
Time for some companies to step up to the plate and sign an IP License agreement, if they haven't already ?! I'm happy to hold their hand
steady as they sign on the dotted line/s.
Cheers for now....Tech
Well, yet another Toyota Moment !
14 named partners/collaborators, then 15 now 16, we are well on the way to doubling this position, more and more are feeling really
comfortable now being named alongside us, how the wheel has changed from say 3 years ago.
Great to see Peter have an article in Forbes, both Peter and Anil are humble, gentle-men, who will, I'm sure, have their day in the sun
being recognized as visionaries, hopefully along the same path that was laid down for Bill Gates and Steve Jobs etc.
"BRE, a Black Signal Technologies company, will integrate BrainChip Akida™ processors in a variety of high-performance applications."
The above comment is a very definitive statement indeed !
"Akida’s ability to perform data processing, including AI/ML tasks at the edge, and its power-conserving neuromorphic design makes its utility in military and intelligence settings a potential breakthrough."
"when data must be processed in real-time on a remote device, the challenge for hardware developers is immense,” said Stefan Moritz, BRE. “BrainChip’s Akida will be useful for tactical devices that ingest sensor data and use AI/ML to improve decision-making.”
Underwater/Deepwater operations, go Akida, your brilliance could well save the West, if things happen to go pear-shaped over the coming years, intelligence on-device, in extremely remote locations, using 1000th's of a watt down to as low as 1,000,000th's of a watt will really prove to be a real-world game changer in the military sense.
Time for some companies to step up to the plate and sign an IP License agreement, if they haven't already ?! I'm happy to hold their hand
steady as they sign on the dotted line/s.
Cheers for now....Tech
Sirod69
bavarian girl ;-)
I saw live ticker on our TV today at stock exchanges. So I'm excited to see what's coming out tomorrow.
"Despite expectations of a further interest rate hike by the US Federal Reserve due to the still tense situation on the labor market, investors in Asia stocked up on fresh stocks at the start of the week. The Tokyo Stock Exchange closed higher.
Some market participants expect the Fed to cut interest rates in the second half of the year in order to avert an economic downturn. "Investors expect bank failures to force policymakers to cut interest rates, but stubborn inflation means the Fed is unlikely to ease policy this year," said Mansoor Mohiuddin, chief economist at the Bank of Singapore.
The focus of stock market traders is now on Wednesday's forthcoming US inflation report, which will indicate the Fed's path in the fight against inflation. Minutes of the central bank's most recent March meeting are also due to be released on Wednesday.
"Japanese stocks rose on expectations that the US job market will remain resilient," said Masahiro Ichikawa, chief market strategist at Sumitomo Mitsui DS Asset Management in Tokyo."
"Despite expectations of a further interest rate hike by the US Federal Reserve due to the still tense situation on the labor market, investors in Asia stocked up on fresh stocks at the start of the week. The Tokyo Stock Exchange closed higher.
Some market participants expect the Fed to cut interest rates in the second half of the year in order to avert an economic downturn. "Investors expect bank failures to force policymakers to cut interest rates, but stubborn inflation means the Fed is unlikely to ease policy this year," said Mansoor Mohiuddin, chief economist at the Bank of Singapore.
The focus of stock market traders is now on Wednesday's forthcoming US inflation report, which will indicate the Fed's path in the fight against inflation. Minutes of the central bank's most recent March meeting are also due to be released on Wednesday.
"Japanese stocks rose on expectations that the US job market will remain resilient," said Masahiro Ichikawa, chief market strategist at Sumitomo Mitsui DS Asset Management in Tokyo."
FabricatedLunacy
Regular
Got Travel Assist in our new car. I scoffed at it when sales guy explained it to me.
Then I started using it. It only gives me around 30 seconds before it asks me to interact. But that’s enough to swap from reading to Sun glasses. Or open a bottle of water. It’s actually brilliant.
We got the Tiguan Monochrome and I thought it would be a downgrade from my beloved GTI Performance. Not so. It’s amazing.
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Tothemoon24
Top 20
Something for our German friends to look out for.
It’s that time of the year again: the HANNOVER MESSE is coming up – the world’s most important industrial fair!
🗣 I am excited to announce that I have the honor speaking again on site this year. Together with my esteemed co-speaker Hans-Peter Steiert, Manager Big Data, System Integration & Cross Functions at Mercedes-Benz AG, we will discuss the importance of data for the development of an Advanced Driver Assistance System (ADAS).
Autonomous and automated driving is one of the most exciting topics within the automotive industry, and the development of ADAS is crucial for bringing these technologies to the market. However, software development, AI training, and system validation require a very accurate digital representation of the real world.
In this talk, we will explore how data-driven engineering can help to support ADAS testing and validation. Don’t miss out on this opportunity and discover how to set up and run an IT project to support ADAS testing and validation.
Join the lecture on April 17 at 4 pm in Hall 15, F52.
or watch the livestream if you can’t be on site. The stream will be available via our website: https://bit.ly/3Tqt04v
I look forward to sharing my insights and experiences with you in fruitful discussions.
#HMI23 #ADAS #Automotive #Capgemini #IntelligentIndustry
It’s that time of the year again: the HANNOVER MESSE is coming up – the world’s most important industrial fair!
🗣 I am excited to announce that I have the honor speaking again on site this year. Together with my esteemed co-speaker Hans-Peter Steiert, Manager Big Data, System Integration & Cross Functions at Mercedes-Benz AG, we will discuss the importance of data for the development of an Advanced Driver Assistance System (ADAS).
Autonomous and automated driving is one of the most exciting topics within the automotive industry, and the development of ADAS is crucial for bringing these technologies to the market. However, software development, AI training, and system validation require a very accurate digital representation of the real world. In this talk, we will explore how data-driven engineering can help to support ADAS testing and validation. Don’t miss out on this opportunity and discover how to set up and run an IT project to support ADAS testing and validation. Join the lecture on April 17 at 4 pm in Hall 15, F52. or watch the livestream if you can’t be on site. The stream will be available via our website: https://bit.ly/3Tqt04vI look forward to sharing my insights and experiences with you in fruitful discussions.
#HMI23 #ADAS #Automotive #Capgemini #IntelligentIndustry
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D
Deleted member 118
Guest
Advanced Military AI Capabilities with Neuromorphic Processing: Exploring FPGAs and Spiking ASICs
Among the most exciting developments in the field of AI is the emergence of neuromorphic processing, boasting the potential to revolutionize the way we approach AI and bring about unprecedented advances across industry. In this article, we explore the benefits of neuromorphic processing leveraging F
Come on Brainchip let the cat out of the bag.
I never upgraded to the full self drive $10k in the tesla, I can only imagine how good that is. would love to use the summon mode at the supermarket and piss everyone off following it to the front door at 4 km/h
. I think in time with Akida we will see some amazing improvements all over.From yesteday's news (see website 10/4/23)
" BRE, a Black Signal Technologies company, will integrate BrainChip Akida™ processors in a variety of high-performance applications. "
My bold. If BRE will be integrating AKIDA then surely there will be revenue.
When.
Its military so expect more military applications.
" BRE, a Black Signal Technologies company, will integrate BrainChip Akida™ processors in a variety of high-performance applications. "
My bold. If BRE will be integrating AKIDA then surely there will be revenue.
When.
Its military so expect more military applications.
Sirod69
bavarian girl ;-)
How is machine learning transforming industries on a global scale?
The advent of Machine Learning has sparked a previously inconceivable revolution, thanks to the latest advancements in this technology. As Machine Learning continues to disrupt conventional business practices, examples of its remarkable capabilities are increasingly prevalent. One such example is ChatGPT, which showcases the wonders of Machine Learning in action.
Do you know?
As per projections, the global market for Machine Learning (ML) is anticipated to surge from $21.17 billion in 2022 to $209.91 billion by 2029, registering a remarkable Compound Annual Growth Rate (CAGR) of 38.8% between 2022 and 2029.
The capacity to forecast specific events is one of machine learning AI's most desired features. AI can conduct market or data analysis to generate largely accurate predictions. This capability allows AI, among other things, to target products at clients based on their purchasing patterns and online activity.
Which business can benefit most from machine learning?
Today, artificial intelligence is used in almost all industries. The medical sector provides the most inspirational instances. Artificial intelligence can enhance the results of many tests, which will help to save more lives. A faster diagnosis leads to a faster recovery.
As a result, we are still determining which industry will profit the most from integrating machine learning AI into its operations. Also, it is unrelated to the size of the business. Small businesses can invest less money, but the more time and effort we put into developing and deploying the application, the more time and money we are likely to reap in the future. It is a long-term investment, but it is unquestionably a wise one.
What kind of AI is most appropriate for us?
Nonetheless, making a thoughtful decision when selecting an AI type is crucial. Information should only be used for our company's needs. Big data is ideal for us to manage. A machine learning solution is not ideal for us if the information is limited. A large volume of "good" data that can be organized into patterns must be made available for machine learning AI to work effectively. The best action is to employ a data scientist who can manage our enormous data early before presenting it to our algorithm.
The best thing we can do if we are still trying to decide whether or not to invest in an AI solution is to speak with a qualified machine-learning specialist. Contacting the business offering these services is one solution. We may go to Teksun's machine learning consulting.
Industries that Machine Learning Has a Significant Impact
Here is how business across industries will change in the upcoming years due to machine learning. Business leaders are diligently implementing ML models in their organizations to improve the overall customer experience, spur innovation, and boost returns on investment.
Finance and Banking
Companies in the BFSI sector are already utilizing machine learning to detect fraud and delegate tedious duties to virtual assistants (intelligent bots). But, in the upcoming years, more sophisticated use cases of machine learning will be investigated in other crucial fields, like trading, risk mitigation, investment modeling, and more.
Upcoming Machine Learning Algorithms will be beneficial in displacing human intuition in stock price and investment forecasting. This will assist traders in reducing risk and taking precautions before market crashes. Moreover, machine learning will help banking and financial institutions increase transactional efficiency when paired with predictive analytics.
Healthcare
The healthcare sector produces large amounts of data, and around 80% is unstructured. Healthcare professionals can streamline the data and make data-driven judgments about disease prognosis and treatment alternatives by implementing powerful Machine Learning models. In reality, doctors are working with statisticians, data analysts, and data scientists to develop cutting-edge systems that precisely anticipate diseases. ML models will be utilized to automate the drug discovery process, resulting in a shorter time to market and making accurate illness forecasts.
Manufacturing
Thanks to machine learning, more and more firms are utilizing the potential of data to enhance their manufacturing and assembly lines. Its cutting-edge technology supports Industry 4.0, which includes data networking, automation, and the analysis of massive amounts of data producers create.
Manufacturers will examine more advanced use cases in the days to come, such as Digital Twins, Real-time Error Detection, Cost Reduction, Warehousing Efficiency, Cognitive Supply Chain Management, and Smart Manufacturing, which go beyond Predictive Maintenance. A report projects that the global smart manufacturing market will develop at a CAGR of 8.4% between 2021 and 2026 and reach $314.39 billion by that year.
To Sum Up
Both large and small firms now depend heavily on machine learning. This cutting-edge technology has a lot to offer and can assist businesses in opening up a lot of new chances. Suppose you have yet to use machine learning technology in your company but want to exploit its potential. In that case, consider collaborating with a reputable provider of Machine Learning Solutions. You can successfully apply Machine Learning models suited to your business needs with the assistance of organizations like Teksun Inc Solutions.
Teksun Inc
April 11, 2023The advent of Machine Learning has sparked a previously inconceivable revolution, thanks to the latest advancements in this technology. As Machine Learning continues to disrupt conventional business practices, examples of its remarkable capabilities are increasingly prevalent. One such example is ChatGPT, which showcases the wonders of Machine Learning in action.
Do you know?
As per projections, the global market for Machine Learning (ML) is anticipated to surge from $21.17 billion in 2022 to $209.91 billion by 2029, registering a remarkable Compound Annual Growth Rate (CAGR) of 38.8% between 2022 and 2029.
The capacity to forecast specific events is one of machine learning AI's most desired features. AI can conduct market or data analysis to generate largely accurate predictions. This capability allows AI, among other things, to target products at clients based on their purchasing patterns and online activity.
Which business can benefit most from machine learning?
Today, artificial intelligence is used in almost all industries. The medical sector provides the most inspirational instances. Artificial intelligence can enhance the results of many tests, which will help to save more lives. A faster diagnosis leads to a faster recovery.
As a result, we are still determining which industry will profit the most from integrating machine learning AI into its operations. Also, it is unrelated to the size of the business. Small businesses can invest less money, but the more time and effort we put into developing and deploying the application, the more time and money we are likely to reap in the future. It is a long-term investment, but it is unquestionably a wise one.
What kind of AI is most appropriate for us?
Nonetheless, making a thoughtful decision when selecting an AI type is crucial. Information should only be used for our company's needs. Big data is ideal for us to manage. A machine learning solution is not ideal for us if the information is limited. A large volume of "good" data that can be organized into patterns must be made available for machine learning AI to work effectively. The best action is to employ a data scientist who can manage our enormous data early before presenting it to our algorithm.
The best thing we can do if we are still trying to decide whether or not to invest in an AI solution is to speak with a qualified machine-learning specialist. Contacting the business offering these services is one solution. We may go to Teksun's machine learning consulting.
Industries that Machine Learning Has a Significant Impact
Here is how business across industries will change in the upcoming years due to machine learning. Business leaders are diligently implementing ML models in their organizations to improve the overall customer experience, spur innovation, and boost returns on investment.
Finance and Banking
Companies in the BFSI sector are already utilizing machine learning to detect fraud and delegate tedious duties to virtual assistants (intelligent bots). But, in the upcoming years, more sophisticated use cases of machine learning will be investigated in other crucial fields, like trading, risk mitigation, investment modeling, and more.
Upcoming Machine Learning Algorithms will be beneficial in displacing human intuition in stock price and investment forecasting. This will assist traders in reducing risk and taking precautions before market crashes. Moreover, machine learning will help banking and financial institutions increase transactional efficiency when paired with predictive analytics.
Healthcare
The healthcare sector produces large amounts of data, and around 80% is unstructured. Healthcare professionals can streamline the data and make data-driven judgments about disease prognosis and treatment alternatives by implementing powerful Machine Learning models. In reality, doctors are working with statisticians, data analysts, and data scientists to develop cutting-edge systems that precisely anticipate diseases. ML models will be utilized to automate the drug discovery process, resulting in a shorter time to market and making accurate illness forecasts.
Manufacturing
Thanks to machine learning, more and more firms are utilizing the potential of data to enhance their manufacturing and assembly lines. Its cutting-edge technology supports Industry 4.0, which includes data networking, automation, and the analysis of massive amounts of data producers create.
Manufacturers will examine more advanced use cases in the days to come, such as Digital Twins, Real-time Error Detection, Cost Reduction, Warehousing Efficiency, Cognitive Supply Chain Management, and Smart Manufacturing, which go beyond Predictive Maintenance. A report projects that the global smart manufacturing market will develop at a CAGR of 8.4% between 2021 and 2026 and reach $314.39 billion by that year.
To Sum Up
Both large and small firms now depend heavily on machine learning. This cutting-edge technology has a lot to offer and can assist businesses in opening up a lot of new chances. Suppose you have yet to use machine learning technology in your company but want to exploit its potential. In that case, consider collaborating with a reputable provider of Machine Learning Solutions. You can successfully apply Machine Learning models suited to your business needs with the assistance of organizations like Teksun Inc Solutions.
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