Neuroinformatics and machine learning are driving significant advancements in brain research, combining tools and approaches ...

As the demand for high-quality training data continues to surge, synthetic data is emerging as a game-changing tool in the ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...

Researchers at The University of Texas at Austin and Cognizant AI Labs have developed an AI-driven system that leverages 175 ...

Microsoft integrates CosmosDB into Fabric, open sources DiskANN vector search, and unifies its data platforms to eliminate integration complexity that has slowed enterprise AI adoption.

Google DeepMind has unveiled AlphaEvolve, an evolutionary coding agent designed to autonomously discover novel algorithms and ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using ...

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...

Reconfigurable datacenter networks (RDCNs), which can adapt their topology dynamically, based on innovative optical switching ...

However, by framing the extraction and analysis of gel bands from an image as an AI task, a machine learning ... their data, the team also developed GelGenie, an open-source graphical application ...

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone ...

measures put in place to prevent the spread of COVID-19 posed unprecedented disruptions for youth aged 15 to 29 with the shift to virtual learning, loss of employment opportunities and the decline of ...