Multimodal machine learning model increases accuracy of catalyst screening
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and ...
Machine learning helps optimize polymer production
Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices ...
Vaultree Introduces VENum Stack: Combining the Power of Machine Learning and Encrypted Data Processing for Secure Innovation
Vaultree, a leader in advanced data encryption, announced today the release and open-sourcing of its proprietary technology ...
News Medical on MSN12h
Behavioral chaos in Alzheimer’s disease mice decoded by machine learning
Researchers use machine learning to identify behavioral disruptions in Alzheimer’s disease mouse models, highlighting a ...
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Bridging AI and Big Data: Avinash Khanderi’s Transformative Approach to Predictive Analytics and Machine Learning
In the era of digital transformation, the intersection of big data and artificial intelligence (AI) is reshaping industries, ...
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Algorithms for sustainable and collaborative machine learning: ERC Consolidator Grant for CISPA-faculty Dr. Sebastian Stich
Data constantly changes. For instance, the name of the current German Chancellor can change faster than expected. Machine ...
The Evolution of Embeddings in Machine Learning
Sudeep Meduri emphasizes embeddings' transformative role in machine learning and AI. From early NLP applications to ...
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Machine learning reveals behaviors linked with early Alzheimer’s, points to new treatments
In a study published in Cell Reports, a team of scientists from Gladstone Institutes used a new video-based machine learning ...
Best Resources and Courses For AI and Machine Learning In 2025
Learn AI and Machine Learning with the best tools, courses, and expert tips. Stay ahead in 2025 with practical skills and ...
Exploring the Potential of M4 Mac Mini Clusters for Machine Learning
Can you use the new M4 Mac Mini for machine learning? The field of machine learning is constantly evolving, with researchers ...
New language encodes shape and structure to help machine learning models predict nanopore properties
A large number of 2D materials like graphene can have nanopores—small holes formed by missing atoms through which foreign ...
Case Western Reserve University2d
Assistant Professor (tenure-track) in Artificial Intelligence (AI) and Machine Learning - Humanities or Social Sciences Focused
While this position is open discipline, the ideal candidate must be in the humanities or social sciences with expertise in ethics, social and environmental justice, and other significant societal ...