Engineers Remove Analog Bottleneck From Next-Gen Probabilistic Computing #Science #TechnologyandEngineering #ProbabilisticComputing #AI #EngineeringInnovations
Engineers Remove Analog Bottleneck From Next-Gen Probabilistic Computing
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purescience.news
December 11, 2025 at 7:01 PM
Engineers Remove Analog Bottleneck From Next-Gen Probabilistic Computing #Science #TechnologyandEngineering #ProbabilisticComputing #AI #EngineeringInnovations
Decades of research have gone into suppressing noise for higher performance computing devices – now researchers are finding ways to exploit noise for image generation
www.livescience.com/technology/c... #thermodynamiccomputing #probabilisticcomputing
www.livescience.com/technology/c... #thermodynamiccomputing #probabilisticcomputing
'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
www.livescience.com
February 24, 2026 at 11:29 AM
Decades of research have gone into suppressing noise for higher performance computing devices – now researchers are finding ways to exploit noise for image generation
www.livescience.com/technology/c... #thermodynamiccomputing #probabilisticcomputing
www.livescience.com/technology/c... #thermodynamiccomputing #probabilisticcomputing
Today, we are following the talk by Phillip Stanley-Marbell, founder & CEO of Signaloid, on "Fast Arithmetic on Compressed Representations of Continuous Probability Distributions."
#EPFL #ComputerArchitecture #ProbabilisticComputing
#EPFL #ComputerArchitecture #ProbabilisticComputing
September 1, 2026 at 9:57 AM
Today, we are following the talk by Phillip Stanley-Marbell, founder & CEO of Signaloid, on "Fast Arithmetic on Compressed Representations of Continuous Probability Distributions."
#EPFL #ComputerArchitecture #ProbabilisticComputing
#EPFL #ComputerArchitecture #ProbabilisticComputing
Purdue achieves first on-chip CMOS-integrated sMTJ P-Bit (TSMC 180nm, 3T+1MTJ), consuming ~55μW vs. 8–10mW for PCB predecessors (~150× improvement). Rail-to-rail stochastic output and probabilistic AND/OR logic simulation confirmed.
#ProbabilisticComputing #Spintronics #Research
#ProbabilisticComputing #Spintronics #Research
First CMOS-Integrated Stochastic MTJ Probabilistic Bit (3T-1MTJ P-Bit)
iq.fp2.dev
April 12, 2026 at 10:22 PM
Purdue achieves first on-chip CMOS-integrated sMTJ P-Bit (TSMC 180nm, 3T+1MTJ), consuming ~55μW vs. 8–10mW for PCB predecessors (~150× improvement). Rail-to-rail stochastic output and probabilistic AND/OR logic simulation confirmed.
#ProbabilisticComputing #Spintronics #Research
#ProbabilisticComputing #Spintronics #Research