The Meaning Behind Logistic Classification, from Physics
Why do we use the logistic and softmax functions? Thermal physics may have an answer.- 20930Murphy ≡ DeepGuide
Improving Physics-Informed Neural Networks through Adaptive Loss Balancing
How to boost your PINN's performance with ReLoBRaLo, Learning Rate Annealing and co.- 29726Murphy ≡ DeepGuide
Mixture of Experts for PINNs (MoE-PINNs)
Utilising Ensembles to enhance Physics-Informed Neural Networks- 30023Murphy ≡ DeepGuide
10 Useful Hints and Tricks for Improving Physics-Informed Neural Networks (PINNs)
A handful of tricks concerning the sampling, architecture, activation function, loss balancing, optimisers, data normalisation, and more.- 23195Murphy ≡ DeepGuide
4 Ideas for Physics-Informed Neural Networks that failed
Here is a list of extensions for PINNs that either did not improve their performance, or broke them completely - so you do not have to try...- 25599Murphy ≡ DeepGuide
Scientists are approaching the first near-atomic simulations of whole cells
After the impact of AI on biology, this could represent another milestone, this time rooted in pure physics- 22652Murphy ≡ DeepGuide
How Quantum Physics Broke the Laws of Statistics
Demystifying the Data Science Behind 2022's Physics Nobel Prize- 26381Murphy ≡ DeepGuide
Unraveling the Design Pattern of Physics-Informed Neural Networks: Part 02
Enhancing PINN training stability through ensemble learning and dynamic solution interval expansion- 28331Murphy ≡ DeepGuide
Grover's Quantum Search Algorithm
A visual explanation of one of the first quantum algorithms- 27249Murphy ≡ DeepGuide
Microsoft's New AI Method to Predict How Molecules Move and Function
"Can we predict not only static protein structures but also their structural diversity?"—I asked around a year ago when all the excitement around AlphaFold 2 was settling: Can we predict not only static protein structures but also their structur- 27537Murphy ≡ DeepGuide
Understanding Large Language Models: The Physics of (Chat)GPT and BERT
Insights from a physicist, on how particles and forces can help us understand LLMs.- 23587Murphy ≡ DeepGuide
Simulation 101: Conductive Heat Transfer
Conduction, or heat transfer between objects, is something we experience everyday. Here, we learn how to simulate the physics of...- 27492Murphy ≡ DeepGuide
Simulation 104: Electromagnetic Mapping with Vector Fields
Modeling electric and magnetic fields- 20763Murphy ≡ DeepGuide
Finding Order in Chaos with Polynomial Chaos Expansion, using uncertainpy and chaospy
Here's how to tackle chaotic problems using math, physics, Python and data science- 21047Murphy ≡ DeepGuide
Quantum Computing for Complete Beginners
A guide to the basics of quantum computing with no prior knowledge required- 26388Murphy ≡ DeepGuide
Finding Dark Matter using a Quantum Computer
Background This year’s August was dedicated to IBM’s Global Quantum Summer School where I not only learned the basics in a compressed timeline and a tight schedule but also a few applications of quantum computing. The badge one gets after 4 gr- 27258Murphy ≡ DeepGuide
Newton's Laws of Motion: The Original Gradient Descent
Exploring the shared language of gradient descent and Newton's motion equations- 24872Murphy ≡ DeepGuide
Differentiable and Accelerated Spherical Harmonic Transforms
In JAX and PyTorch- 28543Murphy ≡ DeepGuide
Can Neural Networks Formulate Shock Wave?
How we build a PINN for inviscid Burgers Equation with shock formulation- 24463Murphy ≡ DeepGuide
The Double Pendulum and Beyond: Investigating Chaos With Multi-Armed Pendulums
Using VPython simulations to model chaotic motion and investigate what makes a system chaotic.- 21891Murphy ≡ DeepGuide
1 2
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag