Recursion Pharmaceuticals struggles with validation of REC-994 and competition in oncology. Read why RXRX stock is a hold ...

As the demand for novel therapies and personalized medicine surges, leaders are uniquely positioned to create a culture of creativity, collaboration and innovation.

AI models in the future will be large, small, portable, hybrid, remote and domain-specific and use cases will grow more ...

The MLSys Initiative is led by a group of researchers at the intersection of machine learning and systems at UC San Diego’s Halıcıoğlu Data Science Institute (HDSI), within the School of Computing, ...

Key takeawaysUnlike traditional bots, AI-powered agents continuously learn, adapt and refine their strategies in ...

In this modern era, Srinivas Kolluri, an expert in AI-driven cloud computing solutions, has developed a transformative ...

A time series database management system (DBMS) efficiently handles large volumes of time-stamped data from sensors and ...

A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...

With a Master's in Computer Science from Clemson University and extensive experience at leading tech companies, he combines ...

MAIN COMPONENTS OF AI, DATA SCIENCE IN MBA PROGRAMMES AI and Data Science in the MBA curriculum will have core and advanced subjects. Core topics include machine learning, data visualisation, ...

A year after going public, ArriVent BioPharma is continuing to bolster its antibody-drug conjugate pipeline via licensing deals. The latest involves handing Lepu Biopharma $47 million in near-term ...

"pyMAISE is one step to help the NRC create a pipeline for licensable AI," said ... The package could go from one machine learning application to another with completely different data and physics and ...