"It's literally going to feel like a sci-fi movie," Figure AI founder Brett Adcock says.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Microsoft’s artificial intelligence tool BioEmu can predict the multiple conformational states of a protein, giving insight into how a protein moves and its potential function.

A team has made a major breakthrough in the field of three-dimensional (3D) imaging of large-scale biological tissues. They ...

The Chan Zuckerberg Initiative (CZI) reports its latest AI model aimed at helping researchers better understand how cells ...

Today, the Chan Zuckerberg Initiative (CZI) announced its latest AI model aimed at helping researchers better understand how cells behave by focusing on the key networks that control cell behavior, ...

Grok, the chatbot created by Elon Musk’s xAI, began responding with violent posts this week after the company tweaked its ...

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic ...

oneAPI Deep Neural Network Library (oneDNN) oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications.

In addressing the gaps, this paper presents a customized physics-inspired neural network (PINN) model, the structure of which is inspired by the derived coupled power flow model of primary-secondary ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

To be agile and cost effective, data centers should allow dynamic resource allocation across large server pools. In particular, the data center network should enable any server to be assigned to any ...