a discussion forum for Polywell fusion
https://www.talk-polywell.org/bb/
I wonder on what basis they will model their neural network, considering that each company that is out there had to rewrite their own models to progress because all of them inevitably failed to meet the expected extrapolations on which they was originally developed...... My bs meter starts to rise.Kronos Fusion Energy utilizes quantum computers with machine learning, artificial intelligence, and neural networks to create algorithms to simulate the optimal design for the world's most efficient fusion energy generator. These generators will leapfrog the recent world records
Well, the paragraph before they was an algorithm and AI company to help improve existing designs, now they have their own "Fusion Energy Power Plant will have an efficiency rating more than 40 times better than the best Fusion Energy Generator in the world today" .... whatever that means...the Fusion Energy Power Plant will have an efficiency rating more than 40 times better than the best Fusion Energy Generator in the world today, and this is all on track to be completed by the year 2036
Next, let's add some scientific truth that has nothing to do with Fusion:Kronos Fusion Energy Algorithms have been leveraging over a 100 billion dollars in global government research endeavors plus 60 years of Fusion Research and leap-frogging similar current thought processes in accurately demonstrating the capacity of deep learning to forecast THESE disruptions —Decreasing the error rate here reduces the sudden loss of confinement of plasma particles and energy — Machine Learning algorithms in our Kronos Fusion Systems drive to lower THIS error rate - thus lowering the costs on our fusion energy generators by 17-20% compared to every other chartered to be build.
Than, some random words to confuse peopleTuning deep neural networks is a computationally intensive problem that requires the engagement of high-performance computing clusters. The first few principles-based approaches hit close to 80% predictive capability. They were sometimes not better than a coin flip.
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Now that people are confused, throw more baseless numbers hyping to a great future!:ALL current timelines & financials for commercial fusion energy generators are without our solution to the industry benchmarks.
And finally let's mention how much ITER will benefit from our company, anyhow 99,999% of people don't even understand what ITER is about:Our simulations show that our first Fusion Energy Generator would be 20% cheaper to build and operate than any others set to launch for the next 40 years. OUR second and third generators would subsequently have a 10% price drop to build and increases our asset value by 40%.
Our machine learning-based statistical methods support vector machines like the ones at the International Thermonuclear Experimental Reactor or ITER which could get up to 85% or better accuracy rate with less than 5% false positives. To improve upon these prediction rates, we at Kronos Fusion, trained a neural network capable of taking into account far more variables than the earlier support vector machines with hyperparameter tuning.
Our software continues to demonstrate its ability to predict true disruptions within the 30-millisecond time frame that ITER will require while reducing the number of false alarms.
In the news release there is no pictures nor it mention the existence of a prototype.Munchausen wrote: ↑Tue Sep 05, 2023 7:02 amNews of a 30 Tesla magnet. For some reason all links are dead outside the US. Can someone please have a look and share whats going on