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Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. SavaÅŸ TaÅŸoÄŸlu from the Department of Mechanical Engineering at Koç University have ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Impulse AI is building an autonomous machine learning engineer that turns data into production models from a simple prompt.
AMD is hiring a Senior AI/ML Lead in Hyderabad to lead the design, development, deployment, and optimization of AI/ML ...
AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...
Many high-performance HEAs used in areas such as aerospace engines, gas turbines, and nuclear power plants employ CRMs such as tantalum, niobium, tungsten, and hafnium. These elements are expensive, ...
New research shows mutual funds using machine learning strategies generate significant outperformance over traditional funds ...
BostonGene, the developer of the leading AI foundation model for tumor and immune biology, today announced another major independent validation of its AI and machine learning (ML) capabilities in a ...
With the aim of transforming the design of plastic materials, AIMPLAS, the Plastics Technology Center, has launched the POLY-ML project, an R&D initiative that applies advanced machine learning ...
Keysight Technologies, Inc. (NYSE: KEYS), today announced the release of the new Machine Learning Toolkit in the latest Keysight Device Modeling Software Suite. This new solution reduces model ...
Regtechtimes on MSN
When ML platforms start acting like products
The machinery behind machine learning is growing more complex, but the bottleneck often shows up in small, unglamorous work: ...
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