News
Altair, a global leader in computational intelligence, announced that Altair® RapidMiner®, Altair's data analytics and AI ...
A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...
Scientist Yi Nian is sharing his machine-learning expertise ... Assistant for UTHealth Science Center in Houston, Texas, where he constructed knowledge graphs with NLP tools from Alzheimer ...
The history of 'knowledge graphs' that are the basis of artificial intelligence and machine learning
and machine learning. According to Communications of the ACM (hereafter referred to as ACM), knowledge graphs are important for deepening understanding of ideas and technologies in a variety of ...
If you plan to use machine learning for research, consider ChatGPT’s shortcomings and inquire about AI tools’ training data ...
11d
Tech Xplore on MSNGraph neural networks show promise for detecting money laundering and collusion in transaction websA review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer ...
Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.
Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...
Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...
The creaminess of custard. The fizz of foam. The slurpability of soup. Texture is just as essential to our eating experience ...
The team also sees the potential of their novel machine learning method to predict other rare events, both within and beyond the field of materials science, thanks to its ability to identify ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results