Euclidean data? When it comes to graphs, networks, and 3D data, conventional deep learning approaches are entir ...

AI agents must solve a host of tasks that require different speeds and levels of reasoning and planning capabilities. Ideally, an agent should know when to use its direct memory a ...

Aiming to address the gaps in core deep-tech areas in the country, such as artificial intelligence and machine learning, ...

The human brain, comprising billions of diverse neurons intricately organized into highly efficient neural networks, remains the only known system ...

Fourteen years ago, for example, Nvidia first saw deep learning show up as a workload that needed to ... That runtime made it ...

A research team from Beihang University and Tsinghua University has demonstrated that integrating learnable neural units with ...

From securing admission to the prestigious IIT Kanpur to leading AI innovations at Adobe, Education and Early Impact Sai ...

In today’s rapidly evolving world, the ability to learn continuously and adapt to new information is more important than ever ...