Python 3.10 or above PyTorch 2.0 or above While PtyRAD can run on CPU, GPU is strongly suggested for high-speed ptychographic reconstructions. We recommend installing PtyRAD using pip inside a fresh ...
Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning Man Watched Moose For Years—Then Gets ...
In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins with specific functions, from antibodies to blood clotting agents, by using ...
Schematic of horizontal elongation in an optimized cell cluster. (a) Left: The final configuration of a simulation with randomly initialized parameters; right: The final simulation state after ...
Scalar and tensor automatic-differentiation engines built from scratch. Dynamic computational graph, forward/backward passes and gradient propagation; educative and minimal.
This phrase has become a common refrain in automotive design circles, as manufacturers reimagine the role of lighting in today’s vehicles. No longer limited to purely functional tasks, lighting has ...
The Uncertainty-Aware Fourier Ptychography (UA-FP) framework marks a transformative milestone in computational imaging, revolutionizing the way we address system uncertainties. This innovative ...
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Massive medical breakthrough: South Korean team reprograms cancer cells into healthy ones without chemo or radiation
In a discovery that could rewrite the rules of cancer treatment, scientists in South Korea have reversed the malignant nature of cancer cells — without killing them. Instead of targeting tumors with ...
Abstract: This letter proposes an automatic differential method to enable the effective Taylor-series based flexible integration algorithm for power electronics and electric machine systems simulation ...
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