Abstract: Videos are a popular type of media that require analysis to extract the information underlying the data in a timely manner. Often due to the very large size of such data and the involvement ...

The AI Alliance has announced that India’s BharatGen will anchor the country’s initial role in Project Tapestry, a global ...

Google DeepMind's new report maps four pathways from AGI to artificial superintelligence. Here's how scaling, paradigm shifts ...

Abstract: Distributed data-parallel training (DDP) is prevalent in large-scale deep learning. To increase the training throughput and scalability, high-performance collective communication methods ...

Elephas is an extension of Keras, which allows you to run distributed deep learning models at scale with Spark. Elephas currently supports a number of applications, including: Data-parallel training ...

The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.

The neural networks dominating AI in recent years have achieved a remarkable level of behavioral flexibility, in part due to their capacity to learn new tasks from only a few examples. These ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

High-throughput sequencing and hardware-accelerated computing have both developed tremendously within the last decade. In genomics, progress is fueled by new technologies that allow the sequencing of ...