Traditional silicon-based architectures face challenges from rising AI demands, leading to a shift towards specialized computing solutions. Neuromorphic computing reduces power usage while enhancing ...

Abstract: Large language models (LLMs) have significantly advanced computational biology by enabling the integration of molecular, protein, and natural language data to accelerate drug discovery.

A new technology to more accurately trace neuron shapes from microscopy images is outlined in research released by E11 Bio, a ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: The study explores the integration of quantum-enhanced feature mapping and optimization within Graph Neural Networks (GNNs) for molecular classification tasks. Utilizing IBM's Qiskit ...

Hello, can you share the reward graphs for FLUX LoRA fine-tuning? I have seen the graphs for full fine-tuning on 16 and 8 GPUs, but couldn't find the graph for LoRA fine-tuning. When I ran the scripts ...

Tapping into the growing market for Vertical AI solutions, the partnership between Marine Biologics and MQS addresses these challenges by combining computational expertise from MQS with Marine ...

To improve the resilience of the computer network infrastructure against cyber attacks or causal influences and find ways to mitigate their impact, we need to understand their structure and dynamics.

CYP3A4 is the most critical drug-metabolizing enzyme in the human liver, responsible for metabolizing over 50% of clinically used drugs. Understanding CYP3A4 inhibition is essential for: ...

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...