Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Auronda Scalera and Dr. Alfredo Cramerotti, an internationally recognized curatorial duo working at the intersection of ...

Over the past few decades, robots have gradually started making their way into various real-world settings, including some malls, airports and hospitals, as well as a few offices and households.

Autonomous decision-making is considered an intercommunication use case that needs to be addressed when integrating open radio access networks with mobile-based 5G communication. The robustness of ...

Machine learning (ML) has become a critical driver of business success in today's world. This technology enables machines to perform complex tasks without explicit human programming by analyzing data ...

The Machine Intelligence from Cortical Networks (MICrONS) Project has built the most detailed wiring diagram of a mammalian brain to date. Today, scientists published the scientific findings (see ...

10 ways machine learning projects fail. AI hallucinations; Model bias; Legal and ethical risks; Poor data quality; Model overfitting and underfitting; Legacy system integration issues ...

22. Chen A, Chow A, Davidson A, DCunha A, Ghodsi A, Hong SA, et al. Developments in MLflow: a system to accelerate the machine learning lifecycle. Proceedings of the Fourth International Workshop on ...

Meet NEO: A Multi-Agent System that Automates the Entire Machine Learning Workflow. NEO is here to transform how ML engineers operate by acting as a fully autonomous ML engineer. Developed to ...

While GPUs were initially designed for rendering graphics, their architecture makes them exceptionally well-suited for the parallel processing requirements of many machine learning algorithms. In this ...

Figure 1.Flowchart for project Risk management. As shown in Figure 1, there are different phases of the project risk management and all the stages are clearly explained below.. 3. Methods and ...