Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
With the introduction of ChatGPT, the promise of generative AI (GenAI) and large language models (LLMs) has taken the world by storm. Even at this early stage, a wide range of use cases for these ...
To combat viruses, bacteria and other pathogens, synthetic biology offers new technological approaches whose performance is being validated in experiments. Researchers applied data integration and ...
MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...
Among all neurological diseases, the incidence of Parkinson’s disease (PD) has increased significantly. PD is typically diagnosed on the basis of motor nerve symptoms, such as resting tremors, ...
By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...
Artificial Intelligence and its related tools, such as machine learning, deep learning, and neural networks, are revolutionizing every field of life. The domain of materials science and engineering is ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Vassili Kitsios is a senior research scientist at CSIRO, a co-chair of the Machine Learning for Climate and Weather Working Group of the Australian Climate Community Earth System Simulator National ...
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