The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...

Scientists have long known that the DNA code in genes is not the only way to pass genetic traits from parents to offspring. "Epigenetic" marks—chemical modifications to DNA that don't change the DNA ...

Abstract: Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional ...

Abstract: Load forecasting is critical to the task of energy management in power systems, for example, balancing supply and demand and minimizing energy transaction costs. There are many approaches ...

In the previous episodes of this AI on Edge journey, we have done something exciting. We built real applications directly on our smartphones. We created image classification apps. We implemented ...

PrimateAI is trained on a dataset of ~380,000 common missense variants from humans and six non-human primate species, using a semi-supervised benign vs unlabeled training regimen. The input to the ...

Researchers headed by a team at the Centre for Genomic Regulation, Barcelona Institute of Science and Technology and at the Wellcome Sanger Institute have developed an AI tool that they say has made a ...

The Fibonacci sequence, a marvel in the history of mathematics, is a prime example of a sequence of numbers that elegantly reveals a clear pattern for generating the preceding numbers at any given ...

In this article on Mamba, we’ll explore how this innovative state-space model (SSM) revolutionizes sequence modeling. Developed by Albert Gu and Tri Dao, Mamba is distinguished for its efficiency in ...

In the previous column, we introduced the basic building blocks of an artificial neural network (ANN): neurons computing linear combinations of inputs, followed by a nonlinear activation function 1.