In a paper published in Nature Communications, Zhang and his collaborators describe a novel algorithm that can infer the structure of a ... to brain function as an example. Researchers can collect ...

A playbook for leaders to master AI analytics, overcome scaling hurdles, control costs, empower teams, prove ROI and achieve ...

Crystal structure prediction (CSP) is typically addressed by combining first-principles calculations with optimization algorithms. For example ... number of training data. Next, they used a ...

Although AI litigation is still in its infancy, discovery disputes are now emerging. In AI copyright cases, parties have ...

ERP gives manufacturers an advantage by tracking data in every aspect of the business. AI goes a giant step further by ...

The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

Structure content for AI search so it’s easy for LLMs to cite. Use clarity, formatting, and hierarchy to improve your ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...

Introduction: The Convergence of AI and Life SciencesTraditionally, drug discovery is a time-consuming and costly process, ...