Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains ...
MindBio (CSE:MBIO) launched Intox Collect, expanding and accelerating voice‑based data collection for detecting drug and ...
Scientists from Purdue University and the University of South China have developed a new alloy by using a machine algorithm ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...
Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
Automated Document Intelligence that processes both native PDF and image-based DODA files using a combination of pattern recognition and large language model interpretation. It ex ...
New data shows a nine-atom quantum system tracks temperature trends more accurately than established classical echo state ...
Can a handful of atoms outperform a much larger digital neural network on a real-world task? The answer may be yes. In a ...
A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...
AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology by treating complex biological data like a language.
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