Structured Outputs use cases would fit within the augmentation tier of the Agentic AI Value Pyramid, 11 leading to early wins ...

AI simulations are driving sustainable materials like carbon-neutral concrete. Allegro-FM marks a major leap in scalable molecular modeling.

Active learning is a machine learning or artificial intelligence method that aims to achieve optimal model performance by actively selecting and labeling the most valuable samples, using the fewest ...

Swetha Ravipudi is a principal cloud architect and independent researcher whose portfolio spans high-availability design, ...

Despite early traction in hardware, the startup is focused on building a full-stack robotics system that unites the “brain” and “body” of machines.

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QKS Group designates AuraQuantic as the Most Valuable Pioneer (MVP) for its AI-first architecture and leadership in embedding agentic intelligence ac ...

Bio-Digital Catalyst Design: Generative Deep Learning for Multi-Objective Optimization and Chemical Insights in CO 2 Methanation ...

Therefore, a Hybrid Encoding-enhanced Catalyst information extraction and multiobjective Optimization-based Machine Learning (HECO-ML) framework is proposed to expedite the screening and optimization ...

The escalating sophistication of cyber threats poses significant risks to individuals, organizations, and nations. Cybercrime, encompassing activities like hacking and data breaches, has severe ...

Then, they developed a Quantum Kernel-Aligned Regressor (QKAR) architecture to translate classical data into quantum states to begin the machine learning process. Once all the features had been ...