AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry challenges like the "patent cliff" and high clinical failure rates. AI-driven ...
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...
From medical image interpretation to remote monitoring to digital pathology systems, artificial intelligence is already at the forefront of medical device innovation. While manufacturers continue to ...
In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
Figure 1 Comparison of general GPT models (a) and proposed OptoGPT model (b). (c) Convert different types of responses to reflection and transmission spectrum. (d) Illustration of structure ...
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