On the hardware front it's like the 1970s all over again, with historic names such as Moog, Sequential and Oberheim back in ...

In addition, we use an efficient discrete optimization strategy to learn the discrete binary codes without relaxation. Extensive experiments conducted on three commonly used datasets demonstrate that ...

We propose a novel discrete signal processing framework for the representation and analysis of datasets with complex structure. Such datasets arise in many social, economic, biological, and physical ...

Real-time indexing on TRON pairs one of the industry’s largest transaction flows with The Graph’s fastest data pipeline, a combination likely to attract new analytics tools, market activity bots, and ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.

Everything is now opaque. Here's why marketers must shift from chasing visibility to shaping the signals models remember and ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

ISRO Scientist Syllabus 2025: Candidates planning to appear for the ISRO Scientist exam in 2025 must understand the complete syllabus. They will know exactly which subjects to focus on and how much ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very effective in summarizing complex patterns and information. Past psychology ...