AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

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 ...

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 ...

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 ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...