Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Keysight Technologies has launched a new Machine Learning Toolkit within its Device Modelling Software Suite, designed to ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Daily Guide Ghana on MSN
Machine Learning Weather Models Are Transforming Climate Forecasting Across Africa
As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...
Tech Xplore on MSN
Atomistic model explains how memory metals can change their shape
Shape memory alloys are exotic materials that can be deformed at room temperature and return to their "remembered," ...
insitro has acquired Israeli AI therapeutics company CombinAbleAI and launched its TherML platform, creating an end-to-end, ...
Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...
The most transformative change since previous editions of SEARCH is the integration of AI-based algorithms into every layer ...
The movement of waves, patterns that carry sound, light or heat, through materials has been widely studied by physicists, as ...
Space.com on MSN
This SETI program is chasing down its final 100 signals. Could one of them be from aliens?
Astronomers are using China's powerful FAST radio telescope to chase after 100 intriguing signals detected by the SETI@home ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback