Overview: Data analytics companies empower organizations to convert raw information into knowledgeable insights. Analytics consulting firms enhance decisio ...

Overview AI-driven real-time analytics will transform how organizations interpret data and make decisions.Edge computing, cloud platforms, and modern data archi ...

Foundation models for single-cell transcriptomics have the potential to augment (or replace) purpose-built tools for a variety of common analyses, especially when data are sparse. Recent work with ...

The Green Horizons initiative from IBM is using data analytics to measure air pollution in big African cities. It is also working with various government bodies to improve air quality and increase the ...

During AY2025-2026 the CUNY Office of Research funded 16 Research in the Classroom (RIC) grants for faculty to incorporate authentic research activities into their undergraduate courses. This ...

Northwestern University professor William Reno, who researches Ukraine’s military training for the Pentagon and visits the country regularly, noted that Ukraine has found cheap ways to shoot down ...

With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...

Grace Li and Hector Rodriguez, two students in the M.S. in Technology Management (TMGT) program, were engaged in a ping-pong battle. An interactive ping-pong table tracked their swings in real time, ...

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

Cybersecurity strategist Dima Shaposhnykov argues that organizations can no longer rely on conventional threat detection ...

Lake: Artificial intelligence, done right, can bring to classrooms the same focus, individualization, urgency and care ...

Abstract: In Deep Neural Networks (DNNs), optimization is necessary for adjusting model parameters to reduce the loss function, which directly affects the model’s performance. Effective optimization ...