Updated on the 🧠#brain effective connectivity library.
1. Added #Reservoircomputing causality as nonlinear #Granger:
github.com/alecrimi/eff...
2. Now labels on to the nodes
3. Added directionality shown with colors from blue to white (white as the arrows)
github.com/alecrimi/eff...
1. Added #Reservoircomputing causality as nonlinear #Granger:
github.com/alecrimi/eff...
2. Now labels on to the nodes
3. Added directionality shown with colors from blue to white (white as the arrows)
github.com/alecrimi/eff...
March 24, 2025 at 11:57 AM
Updated on the 🧠#brain effective connectivity library.
1. Added #Reservoircomputing causality as nonlinear #Granger:
github.com/alecrimi/eff...
2. Now labels on to the nodes
3. Added directionality shown with colors from blue to white (white as the arrows)
github.com/alecrimi/eff...
1. Added #Reservoircomputing causality as nonlinear #Granger:
github.com/alecrimi/eff...
2. Now labels on to the nodes
3. Added directionality shown with colors from blue to white (white as the arrows)
github.com/alecrimi/eff...
📢 New preprint available!
We propose ResCP, a novel training-free conformal prediction method for time series.
🔗 Read the preprint: arxiv.org/abs/2510.05060
🤝 Andrea Cini, @mmbronstein.bsky.social, @filippomb.bsky.social
#conformalprediction #timeseries #reservoircomputing
We propose ResCP, a novel training-free conformal prediction method for time series.
🔗 Read the preprint: arxiv.org/abs/2510.05060
🤝 Andrea Cini, @mmbronstein.bsky.social, @filippomb.bsky.social
#conformalprediction #timeseries #reservoircomputing
October 7, 2025 at 8:44 AM
📢 New preprint available!
We propose ResCP, a novel training-free conformal prediction method for time series.
🔗 Read the preprint: arxiv.org/abs/2510.05060
🤝 Andrea Cini, @mmbronstein.bsky.social, @filippomb.bsky.social
#conformalprediction #timeseries #reservoircomputing
We propose ResCP, a novel training-free conformal prediction method for time series.
🔗 Read the preprint: arxiv.org/abs/2510.05060
🤝 Andrea Cini, @mmbronstein.bsky.social, @filippomb.bsky.social
#conformalprediction #timeseries #reservoircomputing
For #ReservoirComputing lovers,I found a challenging #attractor, the Thomas':
dx = np.sin(y) - b * x
dy = np.sin(z) - b * y
dz = np.sin(x) - b * z
x += dx * dt
y += dy * dt
z += dz * dt
3k neurons yet 67% correlation. Here is the code for you github.com/alecrimi/mag...
dx = np.sin(y) - b * x
dy = np.sin(z) - b * y
dz = np.sin(x) - b * z
x += dx * dt
y += dy * dt
z += dz * dt
3k neurons yet 67% correlation. Here is the code for you github.com/alecrimi/mag...
November 29, 2025 at 5:44 PM
For #ReservoirComputing lovers,I found a challenging #attractor, the Thomas':
dx = np.sin(y) - b * x
dy = np.sin(z) - b * y
dz = np.sin(x) - b * z
x += dx * dt
y += dy * dt
z += dz * dt
3k neurons yet 67% correlation. Here is the code for you github.com/alecrimi/mag...
dx = np.sin(y) - b * x
dy = np.sin(z) - b * y
dz = np.sin(x) - b * z
x += dx * dt
y += dy * dt
z += dz * dt
3k neurons yet 67% correlation. Here is the code for you github.com/alecrimi/mag...
🔍 New insights into reservoir computing!
Tuning the activation function can extend the forecast horizon by an order of magnitude. Curvature matters more than you think.
Read here👉 bit.ly/44MgPF4
Researchers from @colorado.edu
#MachineLearning #ReservoirComputing #TimeSeries #ComplexNetworks
Tuning the activation function can extend the forecast horizon by an order of magnitude. Curvature matters more than you think.
Read here👉 bit.ly/44MgPF4
Researchers from @colorado.edu
#MachineLearning #ReservoirComputing #TimeSeries #ComplexNetworks
July 16, 2025 at 9:02 AM
🔍 New insights into reservoir computing!
Tuning the activation function can extend the forecast horizon by an order of magnitude. Curvature matters more than you think.
Read here👉 bit.ly/44MgPF4
Researchers from @colorado.edu
#MachineLearning #ReservoirComputing #TimeSeries #ComplexNetworks
Tuning the activation function can extend the forecast horizon by an order of magnitude. Curvature matters more than you think.
Read here👉 bit.ly/44MgPF4
Researchers from @colorado.edu
#MachineLearning #ReservoirComputing #TimeSeries #ComplexNetworks
A new #IJEM review examines in-memory and in-sensor Reservoir Computing (RC) with #nano-memristors, highlighting current applications and future directions.
Open Access: doi.org/10.1088/2631-7990/ad88bb
#ExtremeManufacturing #AI #Memristors #ReservoirComputing #EdgeAI #AIRevolution #NeuromorphicAI
Open Access: doi.org/10.1088/2631-7990/ad88bb
#ExtremeManufacturing #AI #Memristors #ReservoirComputing #EdgeAI #AIRevolution #NeuromorphicAI
March 12, 2025 at 7:25 AM
A new #IJEM review examines in-memory and in-sensor Reservoir Computing (RC) with #nano-memristors, highlighting current applications and future directions.
Open Access: doi.org/10.1088/2631-7990/ad88bb
#ExtremeManufacturing #AI #Memristors #ReservoirComputing #EdgeAI #AIRevolution #NeuromorphicAI
Open Access: doi.org/10.1088/2631-7990/ad88bb
#ExtremeManufacturing #AI #Memristors #ReservoirComputing #EdgeAI #AIRevolution #NeuromorphicAI
Updates on the 🧠#brain effective connectivity library:
1. Added #Reservoircomputing causality as nonlinear #Granger:
github.com/alecrimi/eff...
2. Now labels on to the nodes
3. Added directionality shown with colors from blue to white (white as the arrows) github.com/alecrimi/eff...
#AI #neuro
1. Added #Reservoircomputing causality as nonlinear #Granger:
github.com/alecrimi/eff...
2. Now labels on to the nodes
3. Added directionality shown with colors from blue to white (white as the arrows) github.com/alecrimi/eff...
#AI #neuro
March 24, 2025 at 1:04 PM
Updates on the 🧠#brain effective connectivity library:
1. Added #Reservoircomputing causality as nonlinear #Granger:
github.com/alecrimi/eff...
2. Now labels on to the nodes
3. Added directionality shown with colors from blue to white (white as the arrows) github.com/alecrimi/eff...
#AI #neuro
1. Added #Reservoircomputing causality as nonlinear #Granger:
github.com/alecrimi/eff...
2. Now labels on to the nodes
3. Added directionality shown with colors from blue to white (white as the arrows) github.com/alecrimi/eff...
#AI #neuro
#simplicialcomplex + #Causality +#Reservoircomputing:
"Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction" www.nature.com/articles/s41...
#dynamicalsystem #ML #AI
"Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction" www.nature.com/articles/s41...
#dynamicalsystem #ML #AI
March 23, 2025 at 10:13 AM
#simplicialcomplex + #Causality +#Reservoircomputing:
"Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction" www.nature.com/articles/s41...
#dynamicalsystem #ML #AI
"Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction" www.nature.com/articles/s41...
#dynamicalsystem #ML #AI
Plus d’infos sur le sujet ici :
jfaulon.com/phd-subject-...
Supervisé par Jean-Loup Faulon & Xavier Hinaut
@reservoirpy.bsky.social
#MachineLearning #Bioinformatics #ReservoirComputing #Recrutement
jfaulon.com/phd-subject-...
Supervisé par Jean-Loup Faulon & Xavier Hinaut
@reservoirpy.bsky.social
#MachineLearning #Bioinformatics #ReservoirComputing #Recrutement
PhD subject : Bacterial Reservoir Computer – Retro Synthetic Biology Team
jfaulon.com
April 9, 2025 at 4:21 PM
Plus d’infos sur le sujet ici :
jfaulon.com/phd-subject-...
Supervisé par Jean-Loup Faulon & Xavier Hinaut
@reservoirpy.bsky.social
#MachineLearning #Bioinformatics #ReservoirComputing #Recrutement
jfaulon.com/phd-subject-...
Supervisé par Jean-Loup Faulon & Xavier Hinaut
@reservoirpy.bsky.social
#MachineLearning #Bioinformatics #ReservoirComputing #Recrutement
Next-Gen AI Hardware Uses Spin Waves to Unlock Unmatched Computing Power 🌐💡📊 www.azoai.com/news/2025011... #AI #SpinWaves #ReservoirComputing #IonGating #AdvancedScience #Neuromorphic #Innovation #EnergyEfficiency #MagneticMaterials #Computing
Next-Gen AI Hardware Uses Spin Waves to Unlock Unmatched Computing Power
Researchers developed an iono-magnonic reservoir computing device leveraging spin wave manipulation through ion-gating, achieving groundbreaking computational efficiency for AI systems.
www.azoai.com
January 20, 2025 at 12:09 AM
Next-Gen AI Hardware Uses Spin Waves to Unlock Unmatched Computing Power 🌐💡📊 www.azoai.com/news/2025011... #AI #SpinWaves #ReservoirComputing #IonGating #AdvancedScience #Neuromorphic #Innovation #EnergyEfficiency #MagneticMaterials #Computing
I am happy to share that our recent work on physics-informed reservoir computing has been accepted at the 2026 Modeling, Estimation, and Control Conference (MECC) on June 26! 😇
See you in Phoenix! 🌵
#MECC2026 #ReservoirComputing #ControlConference
See you in Phoenix! 🌵
#MECC2026 #ReservoirComputing #ControlConference
June 28, 2026 at 9:37 PM
I am happy to share that our recent work on physics-informed reservoir computing has been accepted at the 2026 Modeling, Estimation, and Control Conference (MECC) on June 26! 😇
See you in Phoenix! 🌵
#MECC2026 #ReservoirComputing #ControlConference
See you in Phoenix! 🌵
#MECC2026 #ReservoirComputing #ControlConference
🎉 Herzlichen Glückwunsch an Libor Šmejkal, Robin R. Neumann und Grischa Beneke zur Auszeichnung ihrer wissenschaftlichen Arbeiten in den Bereichen #Altermagnetismus, #Magnonen und #ReservoirComputing durch die #DeutschePhysikalischeGesellschaft! 👉 www.phmi.uni-mainz.de/auszeichnung...
#Physik
#Physik
Auszeichnungen auf dem Gebiet der Physik der kondensierten Materie für drei JGU-Physiker | FB 08 - Physik, Mathematik und Informatik
www.phmi.uni-mainz.de
April 27, 2025 at 12:21 PM
🎉 Herzlichen Glückwunsch an Libor Šmejkal, Robin R. Neumann und Grischa Beneke zur Auszeichnung ihrer wissenschaftlichen Arbeiten in den Bereichen #Altermagnetismus, #Magnonen und #ReservoirComputing durch die #DeutschePhysikalischeGesellschaft! 👉 www.phmi.uni-mainz.de/auszeichnung...
#Physik
#Physik
Li #attractor=chaotic vibes like Lorenz/Chen use its wild dynamics for #ReservoirComputing to process time series.
The truth: just use it because it looks cool⚔🏴☠️🌊
def dequan_li(x,y,z):
dx = a*(y - x) + y*z
dy = b*x - x*z+y
dz = c*z + x*y/3
return dx,dy,dz
The truth: just use it because it looks cool⚔🏴☠️🌊
def dequan_li(x,y,z):
dx = a*(y - x) + y*z
dy = b*x - x*z+y
dz = c*z + x*y/3
return dx,dy,dz
September 21, 2025 at 11:41 PM
Li #attractor=chaotic vibes like Lorenz/Chen use its wild dynamics for #ReservoirComputing to process time series.
The truth: just use it because it looks cool⚔🏴☠️🌊
def dequan_li(x,y,z):
dx = a*(y - x) + y*z
dy = b*x - x*z+y
dz = c*z + x*y/3
return dx,dy,dz
The truth: just use it because it looks cool⚔🏴☠️🌊
def dequan_li(x,y,z):
dx = a*(y - x) + y*z
dy = b*x - x*z+y
dz = c*z + x*y/3
return dx,dy,dz
Physicists at #UDE laid the foundation for magnetic #ReservoirComputing 7 years ago. Now, together with Norwegian colleagues, they have developed the idea for a ferroelectric version. Nature Reviews Physics reports.
www.uni-due.de/2024-07-03-f... #NTNU
www.uni-due.de/2024-07-03-f... #NTNU
July 4, 2024 at 9:27 AM
Physicists at #UDE laid the foundation for magnetic #ReservoirComputing 7 years ago. Now, together with Norwegian colleagues, they have developed the idea for a ferroelectric version. Nature Reviews Physics reports.
www.uni-due.de/2024-07-03-f... #NTNU
www.uni-due.de/2024-07-03-f... #NTNU
Had an amazing time presenting at #ACC2026! 🎷 We designed the PIRC framework to bring energy-efficient battery State of Health (SOH) monitoring directly to edge hardware without losing physical consistency.
Full post link: www.linkedin.com/posts/kmranr...
Full post link: www.linkedin.com/posts/kmranr...
#acc2026 #machinelearning #controlsystems #reservoircomputing | Kumar Anurag
I presented our poster, "Lightweight Physics-Informed Reservoir Computing for Battery Health Prediction," at the 2026 American Control Conference (ACC) in New Orleans!
Predicting the State of Health ...
www.linkedin.com
May 30, 2026 at 2:46 AM
Had an amazing time presenting at #ACC2026! 🎷 We designed the PIRC framework to bring energy-efficient battery State of Health (SOH) monitoring directly to edge hardware without losing physical consistency.
Full post link: www.linkedin.com/posts/kmranr...
Full post link: www.linkedin.com/posts/kmranr...
Erfolg beim energiesparenden Computing mit magnetischen Wirbeln: Brownsches #ReservoirComputing ermöglicht, Handbewegungen mit den Bewegungen eines Skyrmions zu erkennen // #Physik #Spintronik #Skyrmionen #Computing #TopDyn
@NatureComms @uni_...
weiterlesen
@NatureComms @uni_...
weiterlesen
September 16, 2024 at 1:04 PM
Erfolg beim energiesparenden Computing mit magnetischen Wirbeln: Brownsches #ReservoirComputing ermöglicht, Handbewegungen mit den Bewegungen eines Skyrmions zu erkennen // #Physik #Spintronik #Skyrmionen #Computing #TopDyn
@NatureComms @uni_...
weiterlesen
@NatureComms @uni_...
weiterlesen
Quantum reservoirs achieve optimal predictive performance at the onset of information scrambling, with performance scaling superextensively (α>1) with system size—outpacing computational costs and enabling energy-efficient quantum machine learning.
#QuantumML #ReservoirComputing #QuantumScrambling
#QuantumML #ReservoirComputing #QuantumScrambling
Superextensive Learning in Quantum Reservoirs at Information Scrambling Onset
arxiv.org
August 27, 2026 at 3:09 AM
Quantum reservoirs achieve optimal predictive performance at the onset of information scrambling, with performance scaling superextensively (α>1) with system size—outpacing computational costs and enabling energy-efficient quantum machine learning.
#QuantumML #ReservoirComputing #QuantumScrambling
#QuantumML #ReservoirComputing #QuantumScrambling
QRC offers a new approach to quantum machine learning where only classical linear regression is trained, not the quantum system itself. This makes it implementable on current analog quantum hardware for time-series forecasting applications.
#QuantumML #ReservoirComputing #News
#QuantumML #ReservoirComputing #News
Quantum Reservoir Computing: Machine Learning Without Training the Quantum System
iq.fp2.dev
August 18, 2026 at 5:04 PM
QRC offers a new approach to quantum machine learning where only classical linear regression is trained, not the quantum system itself. This makes it implementable on current analog quantum hardware for time-series forecasting applications.
#QuantumML #ReservoirComputing #News
#QuantumML #ReservoirComputing #News
Classical architecture inspired by Lindblad dynamics separates rotation and dissipation for temporal learning. Provides echo-state stability guarantees, achieves competitive performance on nonlinear tasks, and trains 317× faster than end-to-end RNNs.
#ReservoirComputing #MachineLearning #Research
#ReservoirComputing #MachineLearning #Research
Lindblad-Inspired Reservoir Computing with Separable Rotation-Dissipation
arxiv.org
August 6, 2026 at 5:11 AM
Classical architecture inspired by Lindblad dynamics separates rotation and dissipation for temporal learning. Provides echo-state stability guarantees, achieves competitive performance on nonlinear tasks, and trains 317× faster than end-to-end RNNs.
#ReservoirComputing #MachineLearning #Research
#ReservoirComputing #MachineLearning #Research
Novel quantum framework bypasses barren plateau limitations using frozen TFIM reservoirs to detect phase transitions. von Neumann entropy & QFI tracking improve systemic stability 13% over classical methods on NISQ hardware.
#QuantumComputing #ReservoirComputing #PhaseTransitions
#QuantumComputing #ReservoirComputing #PhaseTransitions
Hybrid Quantum Reservoir Computing for Phase Transition Detection
iq.fp2.dev
July 21, 2026 at 12:25 PM
Novel quantum framework bypasses barren plateau limitations using frozen TFIM reservoirs to detect phase transitions. von Neumann entropy & QFI tracking improve systemic stability 13% over classical methods on NISQ hardware.
#QuantumComputing #ReservoirComputing #PhaseTransitions
#QuantumComputing #ReservoirComputing #PhaseTransitions
Hybrid encryption system combining quantum key distribution (E91), Lorenz chaos dynamics, and reservoir computing achieves 0.03s image encryption with >99.6% resistance to attacks—quantum-safe and computationally efficient.
#QuantumCryptography #ImageEncryption #ReservoirComputing
#QuantumCryptography #ImageEncryption #ReservoirComputing
Hybrid Quantum-Chaos Image Encryption Using E91 Protocol and Reservoir Computing
iq.fp2.dev
July 14, 2026 at 4:53 AM
Hybrid encryption system combining quantum key distribution (E91), Lorenz chaos dynamics, and reservoir computing achieves 0.03s image encryption with >99.6% resistance to attacks—quantum-safe and computationally efficient.
#QuantumCryptography #ImageEncryption #ReservoirComputing
#QuantumCryptography #ImageEncryption #ReservoirComputing
ระบบเข้ารหัสไฮบริดที่รวมการแจกจ่ายกุญแจควอนตัม (E91) พลวัตความวุ่นวายลอเรนซ์ และ reservoir computing ขนาดเล็กสามารถเข้ารหัสภาพได้ภายใน 0.03 วินาทีพร้อมความต้านทาน >99.6% ต่อการโจมตี—ปลอดภัยจากควอนตัมและมีประสิทธิภาพในการคำนวณ
#ควอนตัมเข้ารหัส #การเข้ารหัสภาพ #ReservoirComputing
#ควอนตัมเข้ารหัส #การเข้ารหัสภาพ #ReservoirComputing
การเข้ารหัสภาพไฮบริดระหว่างควอนตัมและคาอส โดยใช้โปรโตคอล E91 และ Reservoir Computing
arxiv.org
July 14, 2026 at 4:56 AM
ระบบเข้ารหัสไฮบริดที่รวมการแจกจ่ายกุญแจควอนตัม (E91) พลวัตความวุ่นวายลอเรนซ์ และ reservoir computing ขนาดเล็กสามารถเข้ารหัสภาพได้ภายใน 0.03 วินาทีพร้อมความต้านทาน >99.6% ต่อการโจมตี—ปลอดภัยจากควอนตัมและมีประสิทธิภาพในการคำนวณ
#ควอนตัมเข้ารหัส #การเข้ารหัสภาพ #ReservoirComputing
#ควอนตัมเข้ารหัส #การเข้ารหัสภาพ #ReservoirComputing
This review describes the principles, #Fabrication processes, progress, and applications of in-memory & in-sensor nano-#Memristors-based #ReservoirComputing systems, highlighting the challenges & future strategies.
#IJEM #OpenAccess: doi.org/10.1088/2631...
#IJEM #OpenAccess: doi.org/10.1088/2631...
December 6, 2025 at 3:08 AM
This review describes the principles, #Fabrication processes, progress, and applications of in-memory & in-sensor nano-#Memristors-based #ReservoirComputing systems, highlighting the challenges & future strategies.
#IJEM #OpenAccess: doi.org/10.1088/2631...
#IJEM #OpenAccess: doi.org/10.1088/2631...
Energy-saving computing with magnetic whirls: Brownian #ReservoirComputing allows to detect human hand gestures on the basis of diffusion and displacement of #skyrmions // #physics #spintronics #magnetism #computing #TopDyn
@NatureComms @uni_m...
weiterlesen
@NatureComms @uni_m...
weiterlesen
September 16, 2024 at 1:10 PM
Energy-saving computing with magnetic whirls: Brownian #ReservoirComputing allows to detect human hand gestures on the basis of diffusion and displacement of #skyrmions // #physics #spintronics #magnetism #computing #TopDyn
@NatureComms @uni_m...
weiterlesen
@NatureComms @uni_m...
weiterlesen
